Jianli Ding

TL;DR: In this paper, the authors used the multi-spectral instrument (MSI) onboard the Sentinel-2 onboard ship for the monitoring and mapping of soil salinity in arid and semi-arid areas.

TL;DR: Previously published optimal remote sensing parameters can be applied to estimate the soil salt content in the Ebinur Lake Wetland National Nature Reserve (ELWNNR), and the accuracy of the first derivative of the Landsat OLI model was close to that of the hyperspectral parameter model.

TL;DR: Wang et al. as mentioned in this paper investigated seasonal and spatial changes of soil salinity in a Delta Oasis between the Werigan and Kuqa River in the northern rim of Tarim Basin, Xinjiang, China.

TL;DR: It is concluded that combining preprocessed spectral indices and machine learning algorithms allows estimation of SMC with high accuracy via UAV hyperspectral imagery on a regional scale and might improve management and conservation strategies for agroecosystem systems in arid regions.

TL;DR: Combining RS data sets and their derived TCW within a Cubist framework yielded accurate regional salinity map, and MSI image with finer spatial resolution performed better than OLI.