Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM
(2021)
Journal Article
Li, X., Ling, F., Foody, G. M., Boyd, D. S., Jiang, L., Zhang, Y., …Du, Y. (2021). Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM. Remote Sensing of Environment, 265, Article 112680. https://doi.org/10.1016/j.rse.2021.112680
Monitoring the spatiotemporal dynamics of surface water from remote sensing imagery is essential for understanding water's impact on the global ecosystem and climate change. There is often a tradeoff between the spatial and temporal resolutions of im... Read More about Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM.