The effect of farmland on the surface water of the Aral Sea Region using Multi-source Satellite Data.

ABSTRACT:

Background

The improper land utilization has brought tremendous pressure on the surface water of the Aral Sea Region in the past decades. It was seriously hindered for construction of the Green Silk Road Economic Belt by the fragile environment. Therefore, it is of great necessity for environmental protection and social development to monitor the change of surface water in the Aral Sea Region.

Methods

In this study, LandTrendr algorithm was used on Landsat time-series data to characterize the change in farmland on the Google Earth Engine platform. Based on multi-source data, the water area changes of the Aral Sea were extracted based on the Google Earth Engine, and the mean method was utilized to extract the changes in water level and water storage. Finally, a water-farmland

SUBMITTER: Shi J 

PROVIDER: S-EPMC8841034 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature