The large-scale quantification of impervious surfaces provides valuable information for urban planning and socioeconomic development. Remote sensing and GIS techniques provide spatial and temporal information of land surfaces and are widely used for modeling impervious surfaces. Traditionally, these surfaces are predicted by computing statistical indices derived from different bands available in remotely sensed data, such … CONTINUE READING
Land cover Mapping in Data Scarce Environments: Challenges and Opportunities. Another paper on Land Cover
Land cover maps are a critical component to make informed policy, development, planning, and resource management decisions. However, technical, capacity and institutional challenges inhibit the creation of consistent and relevant land cover maps for use in developing regions. Many developing regions lack coordinated capacity, infrastructure, and technologies to produce a robust land cover monitoring system … CONTINUE READING
Annual continuous fields of woody vegetation structure in the Lower Mekong region from 2000‐2017 Landsat time-series – A paper with GLAD at UMD
As a SERVIR-Mekong, we have been working closely with our Applied Science Team (AST) at The Global Land Analysis and Discovery (GLAD) laboratory in the Department of Geographical Sciences at the University of Maryland led by Dr. Peter Potapov. The annual product on the Tree Cover Canopy (TCC), Tree Cover Height (TCH) and Primary Forest … CONTINUE READING
This is prepared with regard to the Google Earth Engine training in Vietnam.
The goal is to visualize the Joint Research Centre (JRC) Flood Occurrence Dataset and download the processed image. We will be using JRC Monthly Water History v1.0 (1984-2015). The highlight of this dataset is
|water||0 = no data|