Comparative research on multi-algorithm of soil salinity monitoring based on Gaofen-5, Sentinel-1, and Sentinel-2-Reference-Cited by-同舟云学术

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Comparative research on multi-algorithm of soil salinity monitoring based on Gaofen-5, Sentinel-1, and Sentinel-2

Published:2023-08-03 Issue:15 Volume:44 Page:4704-4726
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Jiang Xiaofang¹²,Duan Hanchen¹³,Liao Jie¹³,Guo Pinglin¹²,Huang Cuihua¹³,Xue Xian¹³

Affiliation:

1. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Drylands Salinization Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China

Funder

Strategic Planning for the Alashan SEE Desertification Prevention and Control Vegetation Restoration and Protection

the Second Tibetan Plateau Scientific Expedition and Research Program

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2235640

Reference81 articles.

1. Predictive ability of soil properties to spectral degradation from laboratory Vis-NIR spectroscopy data

2. Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data

3. Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries: Applications in a date palm dominated region

4. Impacts of Clay Content and Type on Shear Strength and Splash Erosion of Clay–Sand Mixtures

5. Comparing multivariate regression and artificial neural network to predict barley production from soil characteristics in northern Iran

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