Satellite-based observation for 9 main Lakes in Yunnan.

云南大学《空间数据处理与分析》课程

processing tool for swot data.

开源GIS课程-云南大学

Including extents of the High-Mountain Asia region and the sub-resions, as well as the main rivers, lakes and glaciers vector data in this region.

A tutorial about deep learning of the surface water features on the Landsat-5, -7 and -8 images.

Modeling relationship among surface water level, area, and volume.

generate dem data by using stereo images.

water level from the icesat data

Toolkit for easy processing of remote sensing image

云南大学《卫星测高原理与应用》课程

The current dataset for global-scale surface water

Pytorch-based semantic segmentation model for easy use on the remote sensing image

Scripts for icesat data processing

Toolbox for sentinel-3 altimetry level2 product processing.

A new WatNet version which further extends the data applicability from Sentinel-2 image to Landsat-5, 7, 8 images.

Glacier monitoring for Western Kun Lun region in Central Asia (RGI 13-05) by using Icesat-2 data and satellite images.

Monthly surface water mapping in Tibet plateau based on deep learning method and Sentinel-1 image.

RaspberryPi deployed camera for photo capturing

A deep learning model for surface water mapping based on satellite optical image.

Training and prediction with the Google Drive/AI Platform