|
[1]
|
关元秀, 刘高焕. 区域土壤盐渍化遥感监测研究综述[J]. 遥感技术与应用, 2001, 16(1): 40-44.
|
|
[2]
|
杜婷, 焦继宗, 颉耀文, 等. 利用Landsat影像定量评价土地盐渍化的方法探索——以瓜州-敦煌地区为例[J]. 湖北农业科学, 2018, 57(1): 51-55.
|
|
[3]
|
李和平, 田长彦, 乔木, 吴世新. 新疆耕地盐渍土遥感信息解译标志及指标探讨[J]. 干旱地区农业研究, 2009, 27(2): 218-222.
|
|
[4]
|
刘国祥, 陈强, 罗小军, 蔡国林. InSAR原理与应用[M]. 北京: 科学出版社, 2019.
|
|
[5]
|
杨茂华. 敦煌机场道面病害分析[J]. 青海交通科技, 2006(5): 32-32.
|
|
[6]
|
杨鹏. 粗颗粒盐渍土在温度与水分边界年度循环条件下的变形特性及机理研究[D]: [博士学位论文]. 兰州: 兰州理工大学, 2018.
|
|
[7]
|
甘肃省统计局. 甘肃发展年鉴[M]. 北京: 中国统计出版社, 2016.
|
|
[8]
|
包卫星, 杨晓华, 谢永利. 典型天然盐渍土多次冻融循环盐胀试验研究[J]. 岩土工程学报, 2006, 28(11): 1991-1995.
|
|
[9]
|
严耿升, 张虎元, 王志硕, 等. 风电场盐渍土地基静载试验研究[J]. 西北水电, 2011(6): 75-80.
|
|
[10]
|
张莎莎, 杨晓华, 戴志仁. 天然粗颗粒盐渍土多次冻融循环盐胀试验[J]. 中国公路学报, 2009, 22(4): 28-32.
|
|
[11]
|
张平川, 董兆祥. 敦煌民用机场地基的破坏机制与治理对策[J]. 水文地质工程地质, 2003, 30(3): 78-80.
|
|
[12]
|
王飞, 丁建丽, 魏阳, 周倩倩, 杨晓东, 王前锋. 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[J]. 生态学报, 2017, 37(15): 5007-5022.
|
|
[13]
|
Douaoui, A.E.K., Nicolas, H. and Walter, C. (2006) Detecting Salinity Hazards within a Semiarid Context by Means of combining Soil and Remote-Sensing Data. Geoderma, 134, 217-230. [Google Scholar] [CrossRef]
|
|
[14]
|
Khan, N.M., Rastoskuev, V.V., Sato, Y. and Shiozawa, S. (2005) Assessment of Hydrosaline Land Degradation by Using a Simple Approach of Remote Sensing Indicators. Agricultural Water Management, 77, 96-109. [Google Scholar] [CrossRef]
|
|
[15]
|
Brunner, P., Li, H.T., Kinzelbach, W., et al. (2007) Generating Soil Electrical Conductivity Maps at Regional Level by Integrating Measurements on the Ground and Remote Sensing Data. International Journal of Remote Sensing, 28, 3341-3361. [Google Scholar] [CrossRef]
|
|
[16]
|
Lobell, D.B., Lesch, S.M., Corwin, D.L., et al. (2010) Region-al-Scale Assessment of Soil Salinity in the Red River Valley Using Multi-Year MODIS EVI and NDVI. Journal of Environmental Quality, 39, 35-41. [Google Scholar] [CrossRef] [PubMed]
|
|
[17]
|
Allbed, A., et al. (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, s230-s231, 1-8. [Google Scholar] [CrossRef]
|
|
[18]
|
Wu, W. (2014) The Generalized Difference Vegetation Index (GDVI) for Dryland Characterization. Remote Sensing, 6, 1211-1233. [Google Scholar] [CrossRef]
|
|
[19]
|
Scudiero, E., Skaggs, T.H. and Corwin, D.L. (2015) Regional-Scale Soil Salinity Assessment Using Landsat ETM+ Canopy Reflectance. Remote Sensing of Environment, 169, 335-343. [Google Scholar] [CrossRef]
|
|
[20]
|
Scudiero, E., Skaggs, T.H. and Corwin, D.L. (2014) Regional Scale Soil Salinity Evaluation Using Landsat 7, Western San Joaquin Valley, California, USA. Geoderma Regional, 2-3, 82-90. [Google Scholar] [CrossRef]
|
|
[21]
|
Fernández-Buces, N., Siebe, C., Cram, S., et al. (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, 644-667. [Google Scholar] [CrossRef]
|
|
[22]
|
陈红艳, 赵庚星, 陈敬春, 等. 基于改进植被指数的黄河口区盐渍土盐分遥感反演[J]. 农业工程学报, 2015, 31(5): 107-114.
|
|
[23]
|
王飞, 丁建丽, 伍漫春. 基于NDVI-SI特征空间的土壤盐渍化遥感模型[J]. 农业工程学报, 2010, 26(8): 168-173.
|
|
[24]
|
乔舰. 组内相关系数的理论基础及建模应用[J]. 统计与信息论坛, 2016, 31(11): 44-48.
|