High spatiotemporal resolution vegetation index time series can facilitate enhanced remote sensing monitoring of soil salinization
- 2 September 2024
- journal article
- research article
- Published by Springer Nature in Plant and Soil
- Vol. 510 (1-2) , 305-327
Abstract
No abstract availableKeywords
Funding Information
- Strategic Priority Research Program of the Chinese Academy of Sciences (XDA 0440401)
- National Natural Science Foundation of China (41807170)
- Key Research and Development Project of Shandong Province (2021TDXD005)
This publication has 70 references indexed in Scilit:
- Analyzing distributed Spark MLlib regression algorithms for accuracy, execution efficiency and scalability using best subset selection approachMultimedia Tools and Applications, 2023
- Regional ecological risk assessment of the Yellow River Delta High-efficiency Eco-economic Zone, China, with respect to human production–living disturbanceEnvironment, Development and Sustainability, 2023
- Spatiotemporal variations of soil salinization in China's West Songnen PlainLand Degradation & Development, 2023
- Time‐series remote sensing of rice paddy expansion in the Yellow River Delta: Towards sustainable ecological conservation in the context of water scarcityRemote Sensing in Ecology and Conservation, 2022
- Monitoring soil salinization and its spatiotemporal variation at different depths across the Yellow River Delta based on remote sensing data with multi-parameter optimizationEnvironmental Science and Pollution Research, 2021
- Estimating soil salinity with different fractional vegetation cover using remote sensingLand Degradation & Development, 2020
- From the Bottom Up: Assessing the Spectral Ability of Common Multispectral Sensors to Detect Surface Archaeological Deposits Using Field Spectrometry and Advanced Classifiers in the Shashi-Limpopo Confluence AreaAfrican Archaeological Review, 2020
- Spatial variability of soil salinity in coastal saline soil at different scales in the Yellow River Delta, ChinaEnvironmental Monitoring and Assessment, 2017
- On the Use of the Principal Component Analysis (PCA) for Evaluating Vegetation Anomalies from LANDSAT-TM NDVI Temporal Series in the Basilicata Region (Italy)2015
- Yellow River Sediment as a Soil Amendment for Amelioration of Saline Land in the Yellow River DeltaLand Degradation & Development, 2014