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爱游戏AYX:基于星地传感技术的土壤盐渍化监测:进展与展望

时间:2024-03-15 09:30:49
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Abedi, Fatemeh, Alireza Amirian-Chakan, Mohammad Faraji, Ruhollah Taghizadeh-Mehrjardi, Ruth Kerry, Damoun Razmjoue, and Thomas Scholten. 2021. "Salt dome related soil salinity in southern Iran: Prediction and mapping with averaging machine learning models." Land Degradation & Development 32 (3):1540-54. doi: https://doi.org/10.1002/ldr.3811https://doi.org/10.1002/ldr.3811.

Al-Rahbi, Sawsana, Yaseen Al-Mulla, Hemanatha Jayasuriya, and Bheemanagoud Choudri. 2019. "Analysis of true-color images from unmanned aerial vehicle to assess salinity stress on date palm." Journal of Applied Remote Sensing 13 (3):034514.

Aldabaa, Abdalsamad Abdalsatar Ali, David C. Weindorf, Somsubhra Chakraborty, Aakriti Sharma, and Bin Li. 2015. "Combination of proximal and remote sensing methods for rapid soil salinity quantification." Geoderma 239-240:34-46. doi: https://doi.org/10.1016/j.geoderma.2014.09.011https://doi.org/10.1016/j.geoderma.2014.09.011.

Alexakis D. D., I. N. Daliakopoulos, I. S. Panagea, and I. K. Tsanis. 2018. "Assessing soil salinity using WorldView-2 multispectral images in Timpaki, Crete, Greece." Geocarto International 33 (4):321-38. doi: 10.1080/10106049.2016.1250826http://dx.doi.org/10.1080/10106049.2016.1250826.

Allbed, Amal, Lalit Kumar, and Yousef Y. Aldakheel. 2014. "Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries: Applications in a date palm dominated region." Geoderma 230-231:1-8. doi: https://doi.org/10.1016/j.geoderma.2014.03.025https://doi.org/10.1016/j.geoderma.2014.03.025.

Avdan, Uğur, Gordana Kaplan, Dilek Küçük Matcı, Zehra Yiğit Avdan, Fırat Erdem, Ece Tuğba Mızık, and İlknur Demirtaş. 2022. "Soil salinity prediction models constructed by different remote sensors." Physics and Chemistry of the Earth, Parts A/B/C 128:103230. doi: https://doi.org/10.1016/j.pce.2022.103230https://doi.org/10.1016/j.pce.2022.103230.

Bannari A. 2019. "Synergy Between Sentinel-MSI and Landsat-OLI to Support High Temporal Frequency for Soil Salinity Monitoring in an Arid Landscape." In Research Developments in Saline Agriculture, edited by Jagdish Chander Dagar, Rajender Kumar Yadav and Parbodh Chander Sharma, 67-93. Singapore: Springer Singapore.

Bannari, Abderrazak, and Zahra M. Al-Ali. 2020. "Assessing Climate Change Impact on Soil Salinity Dynamics between 1987–2017 in Arid Landscape Using Landsat TM, ETM+ and OLI Data." Remote Sensing 12 (17):2794.

Besma, Zarai, Walter Christian, Michot Didier, Montoroi Jean Pierre, and Hachicha Mohamed. 2021. "Soil salinization monitoring method evolution at various spatial and temporal scales in arid context: a review." Arabian Journal of Geosciences 14 (4). doi: 10.1007/s12517-021-06557-xhttp://dx.doi.org/10.1007/s12517-021-06557-x.

Bughici, Theodor, Todd H. Skaggs, Dennis L. Corwin, and Elia Scudiero. 2022. "Ensemble HYDRUS-2D modeling to improve apparent electrical conductivity sensing of soil salinity under drip irrigation." Agricultural Water Management 272:107813. doi: https://doi.org/10.1016/j.agwat.2022.107813https://doi.org/10.1016/j.agwat.2022.107813.

Cao, Xiaoyi, Wenqian Chen, Xiangyu Ge, Xiangyue Chen, Jingzhe Wang, and Jianli Ding. 2022. "Multidimensional soil salinity data mining and evaluation from different satellites." Science of The Total Environment 846:157416. doi: https://doi.org/10.1016/j.scitotenv.2022.157416https://doi.org/10.1016/j.scitotenv.2022.157416.

Cao Z., R. Ma, M. Liu, H. Duan, Q. Xiao, K. Xue, and M. Shen. 2022. "Harmonized Chlorophyll-a Retrievals in Inland Lakes From Landsat-8/9 and Sentinel 2A/B Virtual Constellation Through Machine Learning." IEEE Transactions on Geoscience and Remote Sensing 60:1-16. doi: 10.1109/TGRS.2022.3207345http://dx.doi.org/10.1109/TGRS.2022.3207345.

Chen, Hongyan, Ying Ma, Axing Zhu, Zhuoran Wang, Gengxing Zhao, and Yanan Wei. 2021. "Soil salinity inversion based on differentiated fusion of satellite image and ground spectra." International Journal of Applied Earth Observation and Geoinformation 101:102360. doi: https://doi.org/10.1016/j.jag.2021.102360https://doi.org/10.1016/j.jag.2021.102360.

Corwin D. L., and E. Scudiero. 2019. "Review of soil salinity assessment for agriculture across multiple scales using proximal and/or remote sensors." Advances in Agronomy 158:1-130. doi: 10.1016/bs.agron.2019.07.001http://dx.doi.org/10.1016/bs.agron.2019.07.001.

Csillag, Ferenc, László Pásztor, and Larry L. Biehl. 1993. "Spectral band selection for the characterization of salinity status of soils." Remote Sensing of Environment 43 (3):231-42. doi: https://doi.org/10.1016/0034-4257(93)90068-9https://doi.org/10.1016/0034-4257(93)90068-9.

Daliakopoulos I. N., I. K. Tsanis, A. Koutroulis, N. N. Kourgialas, A. E. Varouchakis, G. P. Karatzas, and C. J. Ritsema. 2016. "The threat of soil salinity: A European scale review." Science of The Total Environment 573:727-39. doi: 10.1016/j.scitotenv.2016.08.177http://dx.doi.org/10.1016/j.scitotenv.2016.08.177.

Ding, Jianli, Shengtian Yang, Qian Shi, Yang Wei, and Fei Wang. 2020. "Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China." Remote Sensing 12 (16):2601.

Dong L., W. Wang, F. Xu, and Y. Wu. 2021. "An Improved Model for Estimating the Dielectric Constant of Saline Soil in C-Band." IEEE Geoscience and Remote Sensing Letters:1-5. doi: 10.1109/LGRS.2021.3085594http://dx.doi.org/10.1109/LGRS.2021.3085594.

Doolittle, James A., and Eric C. Brevik. 2014. "The use of electromagnetic induction techniques in soils studies." Geoderma 223-225:33-45. doi: https://doi.org/10.1016/j.geoderma.2014.01.027https://doi.org/10.1016/j.geoderma.2014.01.027.

Douaoui, Abd El Kader, Hervé Nicolas, and Christian Walter. 2006. "Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data." Geoderma 134 (1):217-30. doi: https://doi.org/10.1016/j.geoderma.2005.10.009https://doi.org/10.1016/j.geoderma.2005.10.009.

Dubovik, Oleg, Gregory L. Schuster, Feng Xu, Yongxiang Hu, Hartmut Bösch, Jochen Landgraf, and Zhengqiang Li. 2021. "Grand Challenges in Satellite Remote Sensing." Frontiers in Remote Sensing 2:619818. doi: 10.3389/frsen.2021.619818http://dx.doi.org/10.3389/frsen.2021.619818.

Fan, Xingwang, Yongling Weng, and Jinmei Tao. 2016. "Towards decadal soil salinity mapping using Landsat time series data." International Journal of Applied Earth Observation and Geoinformation 52:32-41. doi: 10.1016/j.jag.2016.05.009http://dx.doi.org/10.1016/j.jag.2016.05.009.

FAO. 2022. "Saline Soils and Their Management." Accessed 03-07.

FAO. 2023. "Global Map of Salt-affected Soils (GSASmap)." Accessed 2023-05-01. https://www.fao.org/global-soil-partnership/gsasmaphttps://www.fao.org/global-soil-partnership/gsasmap.

FAO, and ITPS. 2015. "The Status of the World's Soil Resources." In. Rome.

Farifteh J., A. Farshad, and R. J. George. 2006. "Assessing salt-affected soils using remote sensing, solute modelling, and geophysics." Geoderma 130 (3):191-206. doi: https://doi.org/10.1016/j.geoderma.2005.02.003https://doi.org/10.1016/j.geoderma.2005.02.003.

Farifteh J., F. Van der Meer, C. Atzberger, and E. J. M. Carranza. 2007. "Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)." Remote Sensing of Environment 110 (1):59-78. doi: https://doi.org/10.1016/j.rse.2007.02.005https://doi.org/10.1016/j.rse.2007.02.005.

Farifteh J., F. van der Meer, M. van der Meijde, and C. Atzberger. 2008. "Spectral characteristics of salt-affected soils: A laboratory experiment." Geoderma 145 (3):196-206. doi: https://doi.org/10.1016/j.geoderma.2008.03.011https://doi.org/10.1016/j.geoderma.2008.03.011.

Fernández-Buces N., C. Siebe, S. Cram, and J. L. Palacio. 2006. "Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico." Journal of Arid Environments 65 (4):644-67. doi: https://doi.org/10.1016/j.jaridenv.2005.08.005https://doi.org/10.1016/j.jaridenv.2005.08.005.

Gao, Yao, Xiuqing Liu, Wentao Hou, Yonghui Han, Robert Wang, and Heng Zhang. 2021. "Characteristics of Saline Soil in Extremely Arid Regions: A Case Study Using GF-3 and ALOS-2 Quad-Pol SAR Data in Qinghai, China." Remote Sensing 13 (3):417.

Garajeh, Mohammad Kazemi, Farzad Malakyar, Qihao Weng, Bakhtiar Feizizadeh, Thomas Blaschke, and Tobia Lakes. 2021. "An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran." Science of The Total Environment 778:146253. doi: https://doi.org/10.1016/j.scitotenv.2021.146253https://doi.org/10.1016/j.scitotenv.2021.146253.

Ge, Xiangyu, Jianli Ding, Dexiong Teng, Jingzhe Wang, Tianci Huo, Xiaoye Jin, Jinjie Wang, Baozhong He, and Lijing Han. 2022. "Updated soil salinity with fine spatial resolution and high accuracy: The synergy of Sentinel-2 MSI, environmental covariates and hybrid machine learning approaches." Catena 212:106054. doi: https://doi.org/10.1016/j.catena.2022.106054https://doi.org/10.1016/j.catena.2022.106054.

Ge, Xiangyu, Jianli Ding, Dexiong Teng, Boqiang Xie, Xianlong Zhang, Jinjie Wang, Lijing Han, Qingling Bao, and Jingzhe Wang. 2022. "Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks." International Journal of Applied Earth Observation and Geoinformation 112:102969. doi: https://doi.org/10.1016/j.jag.2022.102969https://doi.org/10.1016/j.jag.2022.102969.

Goel, Narendra S., and Wenhan Qin. 1994. "Influences of canopy architecture on relationships between various vegetation indices and LAI and Fpar: A computer simulation." Remote Sensing Reviews 10 (4):309-47. doi: 10.1080/02757259409532252http://dx.doi.org/10.1080/02757259409532252.

Gorji, Taha, Aysegul Tanik, and Elif Sertel. 2015. "Soil Salinity Prediction, Monitoring and Mapping Using Modern Technologies." Procedia Earth and Planetary Science 15:507-12. doi: https://doi.org/10.1016/j.proeps.2015.08.062https://doi.org/10.1016/j.proeps.2015.08.062.

Griggs, David, Mark Stafford-Smith, Owen Gaffney, Johan Rockström, Marcus C. Öhman, Priya Shyamsundar, Will Steffen, Gisbert Glaser, Norichika Kanie, and Ian Noble. 2013. "Sustainable development goals for people and planet." Nature 495 (7441):305-7. doi: 10.1038/495305ahttp://dx.doi.org/10.1038/495305a.

Gu, Simin, Simin Jiang, Xianwen Li, Na Zheng, and Xuemin Xia. 2023. "Soil salinity simulation based on electromagnetic induction and deep learning." Soil and Tillage Research 230:105706. doi: https://doi.org/10.1016/j.still.2023.105706https://doi.org/10.1016/j.still.2023.105706.

Guo, Bing, Yifeng Liu, Junfu Fan, Miao Lu, Wenqian Zang, Chuan Liu, Baoyu Wang, Xiangzhi Huang, Jibao Lai, and Hongwei Wu. 2023. "The salinization process and its response to the combined processes of climate change–human activity in the Yellow River Delta between 1984 and 2022." Catena 231:107301. doi: https://doi.org/10.1016/j.catena.2023.107301https://doi.org/10.1016/j.catena.2023.107301.

Guo, Shushu, Benqing Ruan, Haorui Chen, Xiaoyan Guan, Shaoli Wang, Nannan Xu, and Yunpeng Li. 2018. "Characterizing the spatiotemporal evolution of soil salinization in Hetao Irrigation District (China) using a remote sensing approach." International Journal of Remote Sensing 39 (20):6805-25. doi: 10.1080/01431161.2018.1466076http://dx.doi.org/10.1080/01431161.2018.1466076.

Guo, Yan, Yin Zhou, Lian-qing Zhou, Ting Liu, Lai-gang Wang, Yong-zheng Cheng, Jia He, and Guo-qing Zheng. 2019. "Using proximal sensor data for soil salinity management and mapping." Journal of Integrative Agriculture 18 (2):340-9. doi: https://doi.org/10.1016/S2095-3119(18)61937-9https://doi.org/10.1016/S2095-3119(18)61937-9.

Hagrey, Al, and Müller. 2000. "GPR study of pore water content and salinity in sand." Geophysical Prospecting 48 (1):63-85. doi: https://doi.org/10.1046/j.1365-2478.2000.00180.xhttps://doi.org/10.1046/j.1365-2478.2000.00180.x.

Han, Lijing, Jianli Ding, Junyong Zhang, Panpan Chen, Jingzhe Wang, Yinghui Wang, Jinjie Wang, Xiangyu Ge, and Zipeng Zhang. 2021. "Precipitation events determine the spatiotemporal distribution of playa surface salinity in arid regions: evidence from satellite data fused via the enhanced spatial and temporal adaptive reflectance fusion model." Catena 206:105546. doi: https://doi.org/10.1016/j.catena.2021.105546https://doi.org/10.1016/j.catena.2021.105546.

Hartemink, Alfred E., and Alex McBratney. 2008. "A soil science renaissance." Geoderma 148 (2):123-9. doi: https://doi.org/10.1016/j.geoderma.2008.10.006https://doi.org/10.1016/j.geoderma.2008.10.006.

Hassani A., A. Azapagic, and N. Shokri. 2020. "Predicting long-term dynamics of soil salinity and sodicity on a global scale." Proc Natl Acad Sci U S A 117 (52):33017-27. doi: 10.1073/pnas.2013771117http://dx.doi.org/10.1073/pnas.2013771117.

Hassani, Amirhossein, Adisa Azapagic, and Nima Shokri. 2021. "Global predictions of primary soil salinization under changing climate in the 21st century." Nature Communications 12 (1):6663. doi: 10.1038/s41467-021-26907-3http://dx.doi.org/10.1038/s41467-021-26907-3.

Hopmans, Jan W., A. S. Qureshi, I. Kisekka, R. Munns, S. R. Grattan, P. Rengasamy, A. Ben-Gal, et al. 2021. "Critical knowledge gaps and research priorities in global soil salinity." 169:1-191. doi: 10.1016/bs.agron.2021.03.001http://dx.doi.org/10.1016/bs.agron.2021.03.001.

Huang, Xi, Tiecheng Bai, Huade Guan, Xiayong Wei, Yali Wang, and Xiaomin Mao. 2022. "An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation." Remote Sensing 14 (24). doi: 10.3390/rs14246396http://dx.doi.org/10.3390/rs14246396.

Hu, Jie, Jie Peng, Yin Zhou, Dongyun Xu, Ruiying Zhao, Qingsong Jiang, Tingting Fu, Fei Wang, and Zhou Shi. 2019. "Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images." Remote Sensing 11 (7):736. doi: 10.3390/rs11070736http://dx.doi.org/10.3390/rs11070736.

Huete A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. "Overview of the radiometric and biophysical performance of the MODIS vegetation indices." Remote Sensing of Environment 83 (1):195-213. doi: https://doi.org/10.1016/S0034-4257(02)00096-2https://doi.org/10.1016/S0034-4257(02)00096-2.

Huete A. R. 1988. "A soil-adjusted vegetation index (SAVI)." Remote Sensing of Environment 25 (3):295-309. doi: https://doi.org/10.1016/0034-4257(88)90106-Xhttps://doi.org/10.1016/0034-4257(88)90106-X.

Ivushkin, Konstantin, Harm Bartholomeus, Arnold K. Bregt, and Alim Pulatov. 2017. "Satellite Thermography for Soil Salinity Assessment of Cropped Areas in Uzbekistan." Land Degradation & Development 28 (3):870-7. doi: https://doi.org/10.1002/ldr.2670https://doi.org/10.1002/ldr.2670.

Ivushkin, Konstantin, Harm Bartholomeus, Arnold K. Bregt, Alim Pulatov, Marston H. D. Franceschini, Henk Kramer, Eibertus N. van Loo, Viviana Jaramillo Roman, and Richard Finkers. 2019. "UAV based soil salinity assessment of cropland." Geoderma 338:502-12. doi: https://doi.org/10.1016/j.geoderma.2018.09.046https://doi.org/10.1016/j.geoderma.2018.09.046.

Ivushkin, Konstantin, Harm Bartholomeus, Arnold K. Bregt, Alim Pulatov, Bas Kempen, and Luis de Sousa. 2019. "Global mapping of soil salinity change." Remote Sensing of Environment 231:111260. doi: https://doi.org/10.1016/j.rse.2019.111260https://doi.org/10.1016/j.rse.2019.111260.

Jiang, Hong, Yusufujiang Rusuli, Tureniguli Amuti, and Qing He. 2019. "Quantitative assessment of soil salinity using multi-source remote sensing data based on the support vector machine and artificial neural network." International Journal of Remote Sensing 40 (1):284-306. doi: 10.1080/01431161.2018.1513180http://dx.doi.org/10.1080/01431161.2018.1513180.

Jiang, Qingsong, Jie Peng, Asim Biswas, Jie Hu, Ruiying Zhao, Kang He, and Zhou Shi. 2019. "Characterising dryland salinity in three dimensions." Science of The Total Environment 682:190-9. doi: https://doi.org/10.1016/j.scitotenv.2019.05.037https://doi.org/10.1016/j.scitotenv.2019.05.037.

Jiang, Xiaofang, and Xian Xue. 2022. "Comparing Gaofen-5, Ground, and Huanjing-1A Spectra for the Monitoring of Soil Salinity with the BP Neural Network Improved by Particle Swarm Optimization." Remote Sensing 14 (22):5719.

Kahaer, Yasenjiang, Nigara Tashpolat, Qingdong Shi, and Suhong Liu. 2020. "Possibility of Zhuhai-1 Hyperspectral Imagery for Monitoring Salinized Soil Moisture Content Using Fractional Order Differentially Optimized Spectral Indices." Water 12 (12):3360.

Khan, Nasir M., Victor V. Rastoskuev, Y. Sato, and S. Shiozawa. 2005. "Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators." Agricultural Water Management 77 (1):96-109. doi: https://doi.org/10.1016/j.agwat.2004.09.038https://doi.org/10.1016/j.agwat.2004.09.038.

Kholdorov, Sh, Lakshmi Gopakumar, K. Katsura, Z. Jabbarov, O. Jobborov, T. Shamsiddinov, and A. Khakimov. 2022. "Soil salinity assessment research using remote sensing techniques: a special focus on recent research." IOP Conference Series: Earth and Environmental Science 1068 (1):012037. doi: 10.1088/1755-1315/1068/1/012037http://dx.doi.org/10.1088/1755-1315/1068/1/012037.

Lao, Congcong, Junying Chen, Zhitao Zhang, Yinwen Chen, Yu Ma, Haorui Chen, Xiaobo Gu, Jifeng Ning, Jiming Jin, and Xianwen Li. 2021. "Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection." Computers and Electronics in Agriculture 182:106031. doi: https://doi.org/10.1016/j.compag.2021.106031https://doi.org/10.1016/j.compag.2021.106031.

Lei, Guoqing, Wenzhi Zeng, Jin Yu, and Jiesheng Huang. 2023. "A comparison of physical-based and machine learning modeling for soil salt dynamics in crop fields." Agricultural Water Management 277:108115. doi: https://doi.org/10.1016/j.agwat.2022.108115https://doi.org/10.1016/j.agwat.2022.108115.

Li, Hongyi, Xinlu Liu, Bifeng Hu, Asim Biswas, Qingsong Jiang, Weiyang Liu, Nan Wang, and Jie Peng. 2020. "Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions." Remote Sensing 12 (24):4043.

Li, Yinshuai, Chunyan Chang, Zhuoran Wang, and Gengxing Zhao. 2022. "Remote sensing prediction and characteristic analysis of cultivated land salinization in different seasons and multiple soil layers in the coastal area." International Journal of Applied Earth Observation and Geoinformation 111:102838. doi: https://doi.org/10.1016/j.jag.2022.102838https://doi.org/10.1016/j.jag.2022.102838.

Li, Yinshuai, Chunyan Chang, Zhuoran Wang, and Gengxing Zhao. 2023. "Upscaling remote sensing inversion and dynamic monitoring of soil salinization in the Yellow River Delta, China." Ecological Indicators 148:110087. doi: https://doi.org/10.1016/j.ecolind.2023.110087https://doi.org/10.1016/j.ecolind.2023.110087.

Li, Yufeng, Cheng Wang, Alan Wright, Hongyu Liu, Huabing Zhang, and Ying Zong. 2021. "Combination of GF-2 high spatial resolution imagery and land surface factors for predicting soil salinity of muddy coasts." Catena 202:105304. doi: 10.1016/j.catena.2021.105304http://dx.doi.org/10.1016/j.catena.2021.105304.

Lu, Li, Sheng Li, Rong Wu, and Deyou Shen. 2022. "Study on the Scale Effect of Spatial Variation in Soil Salinity Based on Geostatistics: A Case Study of Yingdaya River Irrigation Area." Land 11 (10):1697.

Ma, Ying, Weiya Zhu, Zan Zhang, Hongyan Chen, Gengxing Zhao, and Peng Liu. 2022. "Fusion level of satellite and UAV image data for soil salinity inversion in the coastal area of the Yellow River Delta." International Journal of Remote Sensing 43 (19-24):7039-63. doi: 10.1080/01431161.2022.2155080http://dx.doi.org/10.1080/01431161.2022.2155080.

Ma, Yingxuan, and Nigara Tashpolat. 2023. "Current Status and Development Trend of Soil Salinity Monitoring Research in China." Sustainability 15 (7):5874.

Maes, Wouter H., and Kathy Steppe. 2019. "Perspectives for Remote Sensing with Unmanned Aerial Vehicles in Precision Agriculture." Trends in Plant Science 24 (2):152-64. doi: https://doi.org/10.1016/j.tplants.2018.11.007https://doi.org/10.1016/j.tplants.2018.11.007.

McBratney, Alex B, ML Mendonça Santos, and Budiman Minasny. 2003. "On digital soil mapping." Geoderma 117 (1-2):3-52.

Metternicht G. I., and J. A. Zinck. 2003. "Remote sensing of soil salinity: potentials and constraints." Remote Sensing of Environment 85 (1):1-20. doi: 10.1016/s0034-4257(02)00188-8http://dx.doi.org/10.1016/s0034-4257(02)00188-8.

Metternicht, Graciela, and Alfred Zinck. 2008. Remote Sensing of Soil Salinization: Impact on Land Management. Boca Raton: CRC Press.

Minasny, Budiman, and Alex B. McBratney. 2016. "Digital soil mapping: A brief history and some lessons." Geoderma 264:301-11. doi: https://doi.org/10.1016/j.geoderma.2015.07.017https://doi.org/10.1016/j.geoderma.2015.07.017.

Mohammadifar, Aliakbar, Hamid Gholami, Shahram Golzari, and Adrian L. Collins. 2021. "Spatial modelling of soil salinity: deep or shallow learning models?" Environmental Science and Pollution Research 28 (29):39432-50. doi: 10.1007/s11356-021-13503-7http://dx.doi.org/10.1007/s11356-021-13503-7.

Montero, David, César Aybar, Miguel D. Mahecha, Francesco Martinuzzi, Maximilian Söchting, and Sebastian Wieneke. 2023. "A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research." Scientific Data 10 (1):197. doi: 10.1038/s41597-023-02096-0http://dx.doi.org/10.1038/s41597-023-02096-0.

Muhetaer, Nuerbiye, Ilyas Nurmemet, Adilai Abulaiti, Sentian Xiao, and Jing Zhao. 2022a. "An Efficient Approach for Inverting the Soil Salinity in Keriya Oasis, Northwestern China, Based on the Optical-Radar Feature-Space Model." Sensors 22 (19):7226.

Muhetaer, Nuerbiye, Ilyas Nurmemet, Adilai Abulaiti, Sentian Xiao, and Jing Zhao. 2022b. "A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data." Remote Sensing 14 (2):363.

Nachtergaele, Freddy, Harrij van Velthuizen, Luc Verelst, Dave Wiberg, Matieu Henry, Frederica Chiozza, Yusuf Yigini, Ece Aksoy, Niels Batjes, and Enoch Boateng. 2023. "Harmonized World Soil Database version 2.0." In. Rome and Laxenburg: Food and Agriculture Organization of the United Nations.

Nawar, Said, Henning Buddenbaum, Joachim Hill, and Jacek Kozak. 2014. "Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS)." Remote Sensing 6 (11):10813-34.

Nurmemet, Ilyas, Vasit Sagan, Jian-Li Ding, Ümüt Halik, Abdulla Abliz, and Zaytungul Yakup. 2018. "A WFS-SVM Model for Soil Salinity Mapping in Keriya Oasis, Northwestern China Using Polarimetric Decomposition and Fully PolSAR Data." Remote Sensing 10 (4):598.

Ou, Depin, Kun Tan, Xue Wang, Zhifeng Wu, Jie Li, and Jianwei Ding. 2022. "Modified soil scattering coefficients for organic matter inversion based on Kubelka-Munk theory." Geoderma 418:115845. doi: https://doi.org/10.1016/j.geoderma.2022.115845https://doi.org/10.1016/j.geoderma.2022.115845

Padarian, José, Budiman Minasny, and Alex B. McBratney. 2020. "Machine learning and soil sciences: a review aided by machine learning tools." Soil 6 (1):35-52. doi: 10.5194/soil-6-35-2020http://dx.doi.org/10.5194/soil-6-35-2020.

Peng, Jie, Asim Biswas, Qingsong Jiang, Ruiying Zhao, Jie Hu, Bifeng Hu, and Zhou Shi. 2019. "Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China." Geoderma 337:1309-19. doi: https://doi.org/10.1016/j.geoderma.2018.08.006https://doi.org/10.1016/j.geoderma.2018.08.006.

Periasamy, Shoba, and Kokila Priya Ravi. 2020. "A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space." Remote Sensing of Environment 251:112059. doi: https://doi.org/10.1016/j.rse.2020.112059https://doi.org/10.1016/j.rse.2020.112059.

Qi, Guanghui, Chunyan Chang, Wei Yang, and Gengxing Zhao. 2022. "Soil salinity inversion in coastal cotton growing areas: An integration method using satellite-ground spectral fusion and satellite-UAV collaboration." Land Degradation & Development 33 (13):2289-302. doi: https://doi.org/10.1002/ldr.4287https://doi.org/10.1002/ldr.4287.

Ren, Dongyang, Boyu Wei, Xu Xu, Bernard Engel, Guangyong Li, Quanzhong Huang, Yunwu Xiong, and Guanhua Huang. 2019. "Analyzing spatiotemporal characteristics of soil salinity in arid irrigated agro-ecosystems using integrated approaches." Geoderma 356:113935. doi: https://doi.org/10.1016/j.geoderma.2019.113935https://doi.org/10.1016/j.geoderma.2019.113935.

Ren, Jianhua, Xiaojie Li, Kai Zhao, Bolin Fu, and Tao Jiang. 2016. "Study of an on-line measurement method for the salt parameters of soda-saline soils based on the texture features of cracks." Geoderma 263:60-9. doi: https://doi.org/10.1016/j.geoderma.2015.08.039https://doi.org/10.1016/j.geoderma.2015.08.039.

Rouse, JW, RH Haas, JA Schell, and DW Deering. 1974. "Monitoring vegetation systems in the Great Plains with ERTS." NASA special publication 351:309.

Salcedo, Francisco Pedrero, Pedro Pérez Cutillas, Juan José Alarcón Cabañero, and Alessandro Gaetano Vivaldi. 2022. "Use of remote sensing to evaluate the effects of environmental factors on soil salinity in a semi-arid area." Science of The Total Environment 815:152524. doi: https://doi.org/10.1016/j.scitotenv.2021.152524https://doi.org/10.1016/j.scitotenv.2021.152524.

Scudiero, Elia, Dennis L. Corwin, Ray G. Anderson, and Todd H. Skaggs. 2016. "Moving Forward on Remote Sensing of Soil Salinity at Regional Scale." Frontiers in Environmental Science 4:65.

Shahid, Shabbir A. 2013. "Developments in Soil Salinity Assessment, Modeling, Mapping, and Monitoring from Regional to Submicroscopic Scales." In Developments in Soil Salinity Assessment and Reclamation: Innovative Thinking and Use of Marginal Soil and Water Resources in Irrigated Agriculture, edited by Shabbir A. Shahid, Mahmoud A. Abdelfattah and Faisal K. Taha, 3-43. Dordrecht: Springer Netherlands.

Shao, Yun, Qingrong Hu, Huadong Guo, Yuan Lu, Qing Dong, and Chunming Han. 2003. "Effect of dielectric properties of moist salinized soils on backscattering coefficients extracted from RADARSAT image." IEEE Transactions on Geoscience and Remote Sensing 41 (8):1879-88. doi: 10.1109/TGRS.2003.813499http://dx.doi.org/10.1109/TGRS.2003.813499.

Shi H., O. Hellwich, G. Luo, C. Chen, H. He, F. U. Ochege, T. Van de Voorde, A. Kurban, and P. d. Maeyer. 2022. "A Global Meta-Analysis of Soil Salinity Prediction Integrating Satellite Remote Sensing, Soil Sampling, and Machine Learning." IEEE Transactions on Geoscience and Remote Sensing 60:1-15. doi: 10.1109/TGRS.2021.3109819http://dx.doi.org/10.1109/TGRS.2021.3109819.

Shokri-Kuehni, Salomé M. S., Bernadette Raaijmakers, Theresa Kurz, Dani Or, Rainer Helmig, and Nima Shokri. 2020. "Water Table Depth and Soil Salinization: From Pore-Scale Processes to Field-Scale Responses." Water Resources Research 56 (2):e2019WR026707. doi: https://doi.org/10.1029/2019WR026707https://doi.org/10.1029/2019WR026707.

Szatmári, Gábor, and László Pásztor. 2019. "Comparison of various uncertainty modelling approaches based on geostatistics and machine learning algorithms." Geoderma 337:1329-40. doi: https://doi.org/10.1016/j.geoderma.2018.09.008https://doi.org/10.1016/j.geoderma.2018.09.008.

Taghizadeh-Mehrjardi, Ruhollah, Karsten Schmidt, Norair Toomanian, Brandon Heung, Thorsten Behrens, Amirhosein Mosavi, Shahab S. Band, Alireza Amirian-Chakan, Aboalhasan Fathabadi, and Thomas Scholten. 2021. "Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models." Geoderma 383:114793. doi: 10.1016/j.geoderma.2020.114793http://dx.doi.org/10.1016/j.geoderma.2020.114793.

Tan, Jiao, Jianli Ding, Lijing Han, Xiangyu Ge, Xiao Wang, Jiao Wang, Ruimei Wang, Shaofeng Qin, Zhe Zhang, and Yongkang Li. 2023. "Exploring PlanetScope Satellite Capabilities for Soil Salinity Estimation and Mapping in Arid Regions Oases." Remote Sensing 15 (4):1066.

Tian, Anhong, Junsan Zhao, Chengbiao Fu, and Heigang Xiong. 2022. "Estimation of SO42- ion in saline soil using VIS-NIR spectroscopy under different human activity stress." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 282:121647. doi: https://doi.org/10.1016/j.saa.2022.121647https://doi.org/10.1016/j.saa.2022.121647.

Tian, Anhong, Junsan Zhao, Bohui Tang, Daming Zhu, Chengbiao Fu, and Heigang Xiong. 2021. "Study on the Pretreatment of Soil Hyperspectral and Na+ Ion Data under Different Degrees of Human Activity Stress by Fractional-Order Derivatives." Remote Sensing 13 (19):3974.

Tian, Fei, Mengjie Hou, Yuan Qiu, Tong Zhang, and Yusen Yuan. 2020. "Salinity stress effects on transpiration and plant growth under different salinity soil levels based on thermal infrared remote (TIR) technique." Geoderma 357:113961. doi: https://doi.org/10.1016/j.geoderma.2019.113961https://doi.org/10.1016/j.geoderma.2019.113961.

Triki Fourati, Hela, Moncef Bouaziz, Mourad Benzina, and Samir Bouaziz. 2015. "Modeling of soil salinity within a semi-arid region using spectral analysis." Arabian Journal of Geosciences 8 (12):11175-82. doi: 10.1007/s12517-015-2004-3http://dx.doi.org/10.1007/s12517-015-2004-3.

Vincent F., M. Maertens, M. Bechtold, E. Jobbágy, R. H. Reichle, V. Vanacker, J. A. Vrugt, J. P. Wigneron, and G. J. M. De Lannoy. 2022. "L-Band Microwave Satellite Data and Model Simulations Over the Dry Chaco to Estimate Soil Moisture, Soil Temperature, Vegetation, and Soil Salinity." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15:6598-614. doi: 10.1109/JSTARS.2022.3193636http://dx.doi.org/10.1109/JSTARS.2022.3193636.

Wadoux, Alexandre M. J. C., and Alex B. McBratney. 2021. "Hypotheses, machine learning and soil mapping." Geoderma 383:114725. doi: 10.1016/j.geoderma.2020.114725http://dx.doi.org/10.1016/j.geoderma.2020.114725.

Wadoux, Alexandre M. J. C., Budiman Minasny, and Alex B. McBratney. 2020. "Machine learning for digital soil mapping: Applications, challenges and suggested solutions." Earth-Science Reviews 210:103359. doi: 10.1016/j.earscirev.2020.103359http://dx.doi.org/10.1016/j.earscirev.2020.103359.

Wang, Fei, Zhou Shi, Asim Biswas, Shengtian Yang, and Jianli Ding. 2020. "Multi-algorithm comparison for predicting soil salinity." Geoderma 365:114211. doi: https://doi.org/10.1016/j.geoderma.2020.114211https://doi.org/10.1016/j.geoderma.2020.114211.

Wang, Jiaqiang, Jie Peng, Hongyi Li, Caiyun Yin, Weiyang Liu, Tianwei Wang, and Huaping Zhang. 2021. "Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China." Remote Sensing 13 (2):305.

Wang, Jingzhe, Jianli Ding, Aerzuna Abulimiti, and Lianghong Cai. 2018. "Quantitative estimation of soil salinity by means of different modeling methods and visible-near infrared (VIS–NIR) spectroscopy, Ebinur Lake Wetland, Northwest China." PeerJ 6:e4703. doi: 10.7717/peerj.4703http://dx.doi.org/10.7717/peerj.4703.

Wang, Jingzhe, Jianli Ding, Danlin Yu, Xuankai Ma, Zipeng Zhang, Xiangyu Ge, Dexiong Teng, et al. 2019. "Capability of Sentinel-2 MSI data for monitoring and mapping of soil salinity in dry and wet seasons in the Ebinur Lake region, Xinjiang, China." Geoderma 353:172-87. doi: 10.1016/j.geoderma.2019.06.040http://dx.doi.org/10.1016/j.geoderma.2019.06.040.

Wang, Jingzhe, Jianli Ding, Danlin Yu, Dexiong Teng, Bin He, Xiangyue Chen, Xiangyu Ge, et al. 2020. "Machine learning-based detection of soil salinity in an arid desert region, Northwest China: A comparison between Landsat-8 OLI and Sentinel-2 MSI." Science of The Total Environment 707:136092. doi: https://doi.org/10.1016/j.scitotenv.2019.136092https://doi.org/10.1016/j.scitotenv.2019.136092.

Wang, Jingzhe, Yangyi Wu, Zhongwen Hu, and Jie Zhang. 2023. "Remote Sensing of Watershed: Towards a New Research Paradigm." Remote Sensing 15 (10):2569.

Wang, Jingzhe, Jianing Zhen, Weifang Hu, Songchao Chen, Ivan Lizaga, Mojtaba Zeraatpisheh, and Xiaodong Yang. 2023. "Remote sensing of soil degradation: Progress and perspective." International Soil and Water Conservation Research 11 (3):429-54. doi: https://doi.org/10.1016/j.iswcr.2023.03.002https://doi.org/10.1016/j.iswcr.2023.03.002.

Wang, Quan, Pingheng Li, and Xi Chen. 2012. "Modeling salinity effects on soil reflectance under various moisture conditions and its inverse application: A laboratory experiment." Geoderma 170:103-11. doi: 10.1016/j.geoderma.2011.10.015http://dx.doi.org/10.1016/j.geoderma.2011.10.015.

Wang, Xiaoping, Fei Zhang, Jianli Ding, Hsiang-te Kung, Aamir Latif, and Verner C. Johnson. 2018. "Estimation of soil salt content (SSC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR), Northwest China, based on a Bootstrap-BP neural network model and optimal spectral indices." Science of The Total Environment 615:918-30. doi: https://doi.org/10.1016/j.scitotenv.2017.10.025https://doi.org/10.1016/j.scitotenv.2017.10.025.

Wang, Zheng, Fei Zhang, Xianlong Zhang, Ngai Weng Chan, Hsiang-te Kung, Muhadaisi Ariken, Xiaohong Zhou, and Yishan Wang. 2021. "Regional suitability prediction of soil salinization based on remote-sensing derivatives and optimal spectral index." Science of The Total Environment 775:145807. doi: https://doi.org/10.1016/j.scitotenv.2021.145807https://doi.org/10.1016/j.scitotenv.2021.145807.

Wei, Yang, Jianli Ding, Shengtian Yang, Fei Wang, and Chen Wang. 2021. "Soil salinity prediction based on scale-dependent relationships with environmental variables by discrete wavelet transform in the Tarim Basin." Catena 196:104939. doi: https://doi.org/10.1016/j.catena.2020.104939https://doi.org/10.1016/j.catena.2020.104939.

Weng, Yong-Ling, Peng Gong, and Zhi-Liang Zhu. 2010. "A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data." Pedosphere 20 (3):378-88. doi: https://doi.org/10.1016/S1002-0160(10)60027-6https://doi.org/10.1016/S1002-0160(10)60027-6.

Wu, Fuyu, Kun Tan, Xue Wang, Jianwei Ding, Zhaoxian Liu, and Bo Han. 2023. "A semi-analytical radiative transfer model for explaining soil spectral features." International Journal of Applied Earth Observation and Geoinformation 118:103250. doi: https://doi.org/10.1016/j.jag.2023.103250https://doi.org/10.1016/j.jag.2023.103250

Wu K., and S. Lambot. 2022. "Analysis of Low-Frequency Drone-Borne GPR for Root-Zone Soil Electrical Conductivity Characterization." IEEE Transactions on Geoscience and Remote Sensing 60:1-13. doi: 10.1109/TGRS.2022.3198431http://dx.doi.org/10.1109/TGRS.2022.3198431.

Wu, Weicheng. 2014. "The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization." Remote Sensing 6 (2):1211-33. doi: 10.3390/rs6021211http://dx.doi.org/10.3390/rs6021211.

Wu, Weicheng, Ahmad S. Muhaimeed, Waleed M. Al-Shafie, and Ayad M. Fadhil Al-Quraishi. 2020. "Using Radar and Optical Data for Soil Salinity Modeling and Mapping in Central Iraq." In Environmental Remote Sensing and GIS in Iraq, edited by Ayad M. Fadhil Al-Quraishi and Abdelazim M. Negm, 19-40. Cham: Springer International Publishing.

Wu, Xuerui, Junming Xia, Shuanggen Jin, Weihua Bai, and Zhounan Dong. 2019. IS Soil Salinity Detectable by GNSS-R/IR? Paper presented at the IGARSS 2019-2019 IEEEInternational Geoscience and Remote Sensing Symposium, Yokohama, Japan.

Xu, Hongtao, Chunbo Chen, Hongwei Zheng, Geping Luo, Liao Yang, Weisheng Wang, Shixin Wu, and Jianli Ding. 2020. "AGA-SVR-based selection of feature subsets and optimization of parameter in regional soil salinization monitoring." International Journal of Remote Sensing 41 (12):4470-95. doi: 10.1080/01431161.2020.1718239http://dx.doi.org/10.1080/01431161.2020.1718239.

Xu, Lu, Raphael A. Viscarra Rossel, Juhwan Lee, Zhichun Wang, and Hongyuan Ma. 2020. "A simple approach to estimate coastal soil salinity using digital camera images." Soil Research 58 (8):737. doi: 10.1071/sr20009http://dx.doi.org/10.1071/sr20009.

Xu, Lu, Zhichun Wang, Jinshan Hu, Shuguo Wang, and John Maina Nyongesah. 2021. "Estimation of Soil Salinity Under Various Soil Moisture Conditions Using Laboratory Based Thermal Infrared Spectra." Journal of the Indian Society of Remote Sensing 49 (4):959-69. doi: 10.1007/s12524-020-01271-9http://dx.doi.org/10.1007/s12524-020-01271-9.

Yang, Han, Zhaohai Wang, Jianfei Cao, Quanyuan Wu, and Baolei Zhang. 2023. "Estimating soil salinity using Gaofen-2 imagery: A novel application of combined spectral and textural features." Environmental Research 217:114870. doi: https://doi.org/10.1016/j.envres.2022.114870https://doi.org/10.1016/j.envres.2022.114870.

Yao R. J., J. S. Yang, and H. B. Shao. 2013. "Accuracy and uncertainty assessment on geostatistical simulation of soil salinity in a coastal farmland using auxiliary variable." Environmental Monitoring and Assessment 185 (6):5151-64. doi: 10.1007/s10661-012-2932-2http://dx.doi.org/10.1007/s10661-012-2932-2.

Yao, Yuan, Jianli Ding, and Shuang Wang. 2021. "Soil salinization monitoring in the Werigan-Kuqa Oasis, China, based on a Three-Dimensional Feature Space Model with Machine Learning Algorithm." Remote Sensing Letters 12 (3):269-77. doi: 10.1080/2150704X.2020.1868601http://dx.doi.org/10.1080/2150704X.2020.1868601.

Zajícová, Katerina, and Tomas Chuman. 2019. "Application of ground penetrating radar methods in soil studies: A review." Geoderma 343:116-29. doi: https://doi.org/10.1016/j.geoderma.2019.02.024https://doi.org/10.1016/j.geoderma.2019.02.024.

Zhang, Junrui, Zhitao Zhang, Junying Chen, Haiying Chen, Jiming Jin, Jia Han, Xintao Wang, Zhishuang Song, and Guangfei Wei. 2021. "Estimating soil salinity with different fractional vegetation cover using remote sensing." Land Degradation & Development 32 (2):597-612. doi: https://doi.org/10.1002/ldr.3737https://doi.org/10.1002/ldr.3737.

Zhang T., Y. Shao, Z. Ju, and Z. Liu. 2022. Experiment of Measuring Full-Parameters Microwave Properties for Soil Salinized Process. Paper presented at the IGARSS 2022 - 2022 IEEEInternational Geoscience and Remote Sensing Symposium, LumpurKuala, Malaysia, 17-22 July 2022.

Zhang, Ting-Ting, Jia-Guo Qi, Yu Gao, Zu-Tao Ouyang, Sheng-Lan Zeng, and Bin Zhao. 2015. "Detecting soil salinity with MODIS time series VI data." Ecological Indicators 52:480-9. doi: https://doi.org/10.1016/j.ecolind.2015.01.004https://doi.org/10.1016/j.ecolind.2015.01.004.

Zhang, Xiaoguang, Biao Huang, and Feng Liu. 2020. "Information extraction and dynamic evaluation of soil salinization with a remote sensing method in a typical county on the Huang-Huai-Hai Plain of China." Pedosphere 30 (4):496-507. doi: https://doi.org/10.1016/S1002-0160(17)60478-8https://doi.org/10.1016/S1002-0160(17)60478-8.

Zhao, Jing, Ilyas Nurmemet, Nuerbiye Muhetaer, Sentian Xiao, and Adilai Abulaiti. 2023. "Monitoring Soil Salinity Using Machine Learning and the Polarimetric Scattering Features of PALSAR-2 Data." Sustainability 15 (9):7452.

Zhao, Shuang, Jianli Ding, Xiangyu Ge, Shuai Huang, and Lijing Han. 2023. "Soil salinity estimation: Effects of microwave dielectric spectroscopy and important frequencies." Land Degradation & Development 34 (6):1725-39. doi: https://doi.org/10.1002/ldr.4564https://doi.org/10.1002/ldr.4564.

Zhong, Yanfei, Xinyu Wang, Shaoyu Wang, and Liangpei Zhang. 2021. "Advances in spaceborne hyperspectral remote sensing in China." Geo-spatial Information Science 24 (1):95-120. doi: 10.1080/10095020.2020.1860653http://dx.doi.org/10.1080/10095020.2020.1860653.

Zhu, Chuanmei, Jianli Ding, Zipeng Zhang, and Zheng Wang. 2022. "Exploring the potential of UAV hyperspectral image for estimating soil salinity: Effects of optimal band combination algorithm and random forest." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 279:121416. doi: https://doi.org/10.1016/j.saa.2022.121416https://doi.org/10.1016/j.saa.2022.121416.

Zovko, Monika, Davor Romić, Claudio Colombo, Erika Di Iorio, Marija Romić, Gabriele Buttafuoco, and Annamaria Castrignanò. 2018. "A geostatistical Vis-NIR spectroscopy index to assess the incipient soil salinization in the Neretva River valley, Croatia." Geoderma 332:60-72. doi: 10.1016/j.geoderma.2018.07.005http://dx.doi.org/10.1016/j.geoderma.2018.07.005.

Cao L, Ding J L, Umut H, Su W, Ning J, Miu C and Li H. 2016. "Extraction and Modeling of Regional Soil Salinization Based on Data from GF-1 Satellite." Acta Pedologica Sinica 53(6):1399-1409.

曹雷, 丁建丽, 玉米提, 哈力克, 苏雯, 宁娟, 缪琛, 和 李焕. 2016. "基于国产高分一号卫星数据的区域土壤盐渍化信息提取与建模." 土壤学报 53 (6):1399-409. doi: 10.11766/trxb201601270650http://dx.doi.org/10.11766/trxb201601270650

Chen J Y, Wang X T, Zhang Z T, Han J, Yao Z H and Wei G F. 2019. "Soil Salinization Monitoring Method Based on UAV-Satellite Remote Sensing Scale-up." Transactions of the Chinese Society for Agricultural Machinery 50(12):161-169. 爱游戏AYX声明: 合理安排时间,享受健康生活

陈俊英, 王新涛, 张智韬, 韩佳, 姚志华, 和 魏广飞. 2019. "基于无人机–卫星遥感升尺度的土壤盐渍化监测方法." 农业机械学报 50 (12):161-9. DOI: 10.6041/j.issn.1000-1298.2019.12.018http://dx.doi.org/10.6041/j.issn.1000-1298.2019.12.018.

Chen X Y, Ding J L, Ge X Y, Wang F and Wang J Z. 2021. "Scale Effect on Soil Salinization Simulation in Arid Oasis Based on Machine Learning Methods." Transactions of the Chinese Society for Agricultural Machinery 52(9): 312-320.

陈香月, 丁建丽, 葛翔宇, 王飞, 和 王敬哲. 2021. "基于机器学习的绿洲土壤盐渍化尺度效应研究." 农业机械学报 52 (9):312-20. DOI:10.6041/j.issn.1000-1298.2021.09.035http://dx.doi.org/10.6041/j.issn.1000-1298.2021.09.035.

Ding J L, Wang F. 2017. "Environmental modeling of large-scale soil salinity information in an arid region: A case study of the low and middle altitude alluvial plain north and south of the Tianshan Mountains, Xinjiang." Acta Geographica Sinica 72(1): 64-78. (丁建丽, 和 王飞. 2017. "干旱区大尺度土壤盐度信息环境建模——以新疆天山南北中低海拔冲积平原为例." 地理学报 72 (1):64-78.) doi: https://doi.org/10.11821/dlxb201701006.

Ding J L, Yao Y and Wang F. 2014. " Detecting soil salinization in arid regions using spectral feature space derived from remote sensing data." Acta Ecologica Sinica 34 (16):4620-31.

丁建丽, 姚远, 和 王飞. 2014. "干旱区土壤盐渍化特征空间建模." 生态学报 34 (16):4620-31. DOI:10.5846/stxb201212291895http://dx.doi.org/10.5846/stxb201212291895

Huang S, Ding J L, Zhang J Y and Chen W Q. 2017. " Backscattering Coefficient Research Based on Microwave Remote Sensing of Radarsat-2 Satellite." ACTA OPTICA SINICA 37 (9):0929001.

黄帅, 丁建丽, 张钧泳, 和 陈文倩. 2017. "基于Radarsat-2卫星微波遥感的后向散射系数研究." 光学学报 37 (9):0929001. doi: 10.3788/aos201737.0929001http://dx.doi.org/10.3788/aos201737.0929001.

Li D R. 2012. "On space-air-ground integrated earth observation network." Journal of geo-information science 14 (4):419-25.

李德仁. 2012. "论空天地一体化对地观测网络." 地球信息科学学报 14 (4):419-25. doi: 10.3724/SP.J.1047.2012.00419http://dx.doi.org/10.3724/SP.J.1047.2012.00419

Li J G, Pu L J, Zhu M and Zhang R S. 2012. "The Present Situation and Hot Issues in the Salt-affected Soil Research." Acta Geographica Sinica67 (9):1233-45.

李建国, 濮励杰, 朱明, 和 张润森. 2012. "土壤盐渍化研究现状及未来研究热点." 地理学报 67 (9):1233-45. doi: 10.11821/xb201209008http://dx.doi.org/10.11821/xb201209008

Liang J, Ding J L, Wang J Z and Wang F. 2019. "Estimation and Mapping of Soil Salinity in the Ebinur Lake Wetland Based on Vis-NIR Reflectance and Landsat 8 OLI Data." ACTA PEDOLOGICA SINICA 56 (2):320-30.

梁静, 丁建丽, 王敬哲, 和 王飞. 2019. "基于反射光谱与Landsat 8 OLI多光谱数据的艾比湖湿地土壤盐分估算." 土壤学报 56 (2):320-30. doi: 10.11766/trxb201805070182http://dx.doi.org/10.11766/trxb201805070182.

Liang S L, Cheng J, Jia K, Jiang B, Liu Q, Liu S H, Xie X H, Yao Y J and Yuan W P. 2016. Recent progress in land surface quantitative remote sensing. National Remote Sensing Bulletin 20(5):875-898.

梁顺林, 程洁, 贾坤, 江波, 刘强, 刘素红, 肖志强, 谢先红, 姚云军, 和 袁文平. 2016. "陆表定量遥感反演方法的发展新动态." 遥感学报 20 (5):875-98. DOI: 10.11834/jrs.20166258http://dx.doi.org/10.11834/jrs.20166258.

Liao X H. 2021. Scientific and technological progress and development prospect of the earth observation in China in the past 20 years. National Remote Sensing Bulletin, 25(1): 267-275. (廖小罕. 2021. "中国对地观测 20 年科技进步和发展." 遥感学报 25 (1):267-75.)DOI: 10.11834/jrs.20211017.

Liu M X, Yang J X. 2011. "In-situ determination methods for soil salinity." Soils 43(5):688-697.

刘梅先, 和 杨劲松. 2011. "土壤盐分的原位测定方法." 土壤 43 (5):688-97.

Shi Z. 2014. Principles and methods of ground-based hyperspectral remote sensing of soils. Beijing: Science Press.

史舟. 2014. 土壤地面高光谱遥感原理与方法. 北京: 科学出版社

Shi Z, Xu D Y, Teng H F, Hu Y M, Pang X Z and Zhang G L. 2018. Soil information acquisition based on remote sensing and proximal soil sensing: Current status and prospect. Progress in Geography, 37(1): 79-92.

史舟, 徐冬云, 滕洪芬, 胡月明, 潘贤章, 张甘霖. 2018. "土壤星地传感技术现状与发展趋势." 地理科学进展 37 (1): 79-92 [DOI: https://doi.org/10.18306/dlkxjz.2018.01.009https://doi.org/10.18306/dlkxjz.2018.01.009]

Tong Q X, Zhang B and Zheng F L. 2006. Hyperspectral Remote Sensing: Principles, Techniques and Applications. Beijing: Higher Education Press.

童庆禧, 张兵, 郑兰芬. 2006. 高光谱遥感: 原理、技术与应用. 北京: 高等教育出版社

Wang F, Ding J L, Wei Y, Zhou Q Q, Yang X D, Wang Q F. 2017. "Sensitivity analysis of soil salinity and vegetation indices to detect soil salinity variation by using Landsat series images:applications in different oases in Xinjiang,China." Acta Ecologica Sinica 37 (15):5007-22.

王飞, 丁建丽, 魏阳, 周倩倩, 杨晓东, 和 王前锋. 2017. "基于 Landsat 系列数据的盐分指数和植被指数对土壤盐度变异性的响应分析——以新疆天山南北典型绿洲为例." 生态学报 37 (15): 5007-22. DOI:10.5846/stxb201605090890http://dx.doi.org/10.5846/stxb201605090890

Wang F, Ding J L, Wu M C. 2010. "Remote sensing monitoring models of soil salinization based on NDVI-SI feature space." Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(8): 168-173. (王飞, 丁建丽, 和 伍漫春. 2010. "基于 NDVI-SI 特征空间的土壤盐渍化遥感模型." 农业工程学报 26 (8): 168-73.) doi: 10.3969/j.issn.1002-6819.2010.08.029

Wang J J, Wei X R, Jia X X, Huang M B, Liu Z P, Yao Y and Shao M A. 2023. An empirical approach to predict regional organic carbon in deep soils. Science China Earth Sciences, 66(3): 583–593.

王晶晶, 魏孝荣, 贾小旭, 黄明斌, 刘志鹏, 姚毓菲, 和 邵明安. 2023. "预测区域尺度深层土壤有机碳的方法." 中国科学: 地球科学 53 (3): 561-71. doi: 10.1360/N072022-0106http://dx.doi.org/10.1360/N072022-0106.

Wang J D, Sun Z G,Yang T, Zhu K Y, Shao C X, Peng J B, Li S J, Wang W Y, Gao Y N and Yue H Y. 2023. A remote sensing method for retrieving soil salinity based on CYGNSS: Taking the Yellow River Delta as an example. National Remote Sensing Bulletin, 27(2):351-362.

王俊栋, 孙志刚, 杨婷, 朱康莹, 邵长秀, 彭金榜, 李仕冀, 王玮莹, 高祎男, 和 岳焕印. 2023. "CYGNSS土壤盐分反演方法研究:以黄河三角洲为例." 遥感学报 27 (2): 351-62. DOI: 10.11834/jrs.20210466http://dx.doi.org/10.11834/jrs.20210466.

Wang Q. 2021. Progress of environmental remote sensing monitoring technology in China and some related frontier issues. National Remote Sensing Bulletin, 25(1):25-36. (王桥. 2021. "中国环境遥感监测技术进展及若干前沿问题." 遥感学报 25 (1): 25-36.) DOI: 10.11834/jrs.20210572.

Weng Y L, Gong P. 2006. "A Review on Remote Sensing Technique for Salt-Affected Soils." Scientia Geographica Sinica, 26(3): 369-375. (翁永玲, 和 宫鹏. 2006. "土壤盐渍化遥感应用研究进展." 地理科学 26 (3): 369-75.) doi: 10.13249/j.cnki.sgs.2006.03.369

Yang J S. 2008. "DEVELOPMENT AND PROSPECT OF THE RESEARCH ON SALT-AFFECTED SOILS IN CHINA." Acta Pedologica Sinica 45(5):837-845.

杨劲松. 2008. "中国盐渍土研究的发展历程与展望." 土壤学报 45(5): 837-45. DOI:trxb10.11766/200806280509http://dx.doi.org/trxb10.11766/200806280509

Yang L, Zhu A X, Li B L, Qin C Z, Pei T, Liu B Y, Li R K, Cai Q G. 2007. "EXTRACTION OF KNOWLEDGE ABOUT SOIL-ENVIRONMENT RELATIONSHIP FOR SOIL MAPPING USING FUZZY c-MEANS(FCM) CLUSTERING." Acta Pedologica Sinica 44(5):784-791.

杨琳, 朱阿兴, 李宝林, 秦承志, 裴韬, 刘宝元, 李润奎, 和 蔡强国. 2007. "应用模糊 C 均值聚类获取土壤制图所需土壤-环境关系知识的方法研究." 土壤学报 44 (5): 784-91. DOI:10.11766/trxb200608010503http://dx.doi.org/10.11766/trxb200608010503

Zhang B. 2018. "Remotely Sensed Big Data Era and Intelligent Information Extraction". Geomatics and Information Science of Wuhan University 43(12): 1861-1871.

张兵. 2018. "遥感大数据时代与智能信息提取." 武汉大学学报 (信息科学版) 43 (12):1861-71. doi: 10.13203/j.whugis20180172http://dx.doi.org/10.13203/j.whugis20180172.

Zhang G L, Shi Z, Zhu A X, Wang Q B, Wu K N, Shi Z H, Zhao Y C, Zhao Y G, Pan X Z and Liu F. 2020. "Progress and Perspective of Studies on Soils in Space and Time". Acta Pedologica Sinica 57(5):1060-1070.

张甘霖, 史舟, 朱阿兴, 王秋兵, 吴克宁, 史志华, 赵永存, 赵玉国, 潘贤章, 和 刘峰. 2020. "土壤时空变化研究的进展与未来." 土壤学报 57 (5):1060-70. DOI:10.11766/trxb202004270199http://dx.doi.org/10.11766/trxb202004270199

Zhang L P, He J, Yang Q Q, Xiao Y, Yuan Q Q. 2022. "Data-driven multi-source remote sensing data fusion: progress and challenges" Acta Geodaetica et Cartographica Sinica 51(7): 1317-1337.

张良培, 何江, 杨倩倩, 肖屹, 和 袁强强. 2022. "数据驱动的多源遥感信息融合研究进展." 测绘学报 51 (7):1317-37. doi: 10.11947/j.AGCS.2022.20220171http://dx.doi.org/10.11947/j.AGCS.2022.20220171

Zhang Z T, Chen Q D, Huang X Y, Song Z S, Zhang J R, Tai X.2022. "UAV-Satellite Remote Sensing Scale-up Monitoring Model of Soil Salinity Based on Dominant Class Variability-weighted Method." Transactions of the Chinese Society for Agricultural Machinery 53(9):226-238,251.

张智韬, 陈钦达, 黄小鱼, 宋志双, 张珺锐, 和 台翔. 2022. "基于加权算法的空-天遥感升尺度土壤含盐量监测模型." 农业机械学报 53 (9):226-38,51. DOI:10.6041/j.issn.1000-1298.2022.09.023http://dx.doi.org/10.6041/j.issn.1000-1298.2022.09.023

Zhang Z T, Wei G F, Yao Z H, Tan C X, Wang X T, Han J. 2019. "Soil Salt Inversion Model Based on UAV Multispectral Remote Sensing" Transactions of the Chinese Society for Agricultural Machinery 50(12):151-160.

张智韬, 魏广飞, 姚志华, 谭丞轩, 王新涛, 和 韩佳. 2019. "基于无人机多光谱遥感的土壤含盐量反演模型研究." 农业机械学报 50 (12):151-60. DOI:10.6041/j.issn.1000-1298.2019.12.017http://dx.doi.org/10.6041/j.issn.1000-1298.2019.12.017

Zhao Y H,Hou P,Jiang J B,Jiang Y,Zhang B,Bai J J and Xu H T. 2021. Progress in quantitative inversion of vegetation ecological remote sensing parameters. National Remote Sensing Bulletin, 25(11):2173-2197.

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