
Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)
Published: April 17, 2024
Abstract Understanding elevation changes on the Tibetan Plateau is crucial to comprehend in topography, landscape, climate, environmental conditions, and water resources. However, some of current products that track only cover specific surface types or limited areas, others have low spatial resolution. We propose an algorithm extract ICESat-2 crossover points dataset for Plateau, form a dataset. The has density 2.015 groups/km², each group indicates amount change before after period time over area approximately 17 meters diameter. Comparing data with existing studies glaciers lakes, we demonstrated reliability derived changes. provide refined source understanding high-spatial-resolution Plateau. This can validation various require high-precision high-resolution
Language: Английский