In this study, we develop a vegetation monitoring framework which is applicable at a planetary scale and is based on the BACI (Before-After, Control-Impact) design. This approach utilizes Google Earth Engine, a state-of-the-art cloud computing platform. A web-based application for users named EcoDash was developed. EcoDash maps vegetation using Enhanced Vegetation Index(EVI) from Moderate Resolution … CONTINUE READING
Category: Remote Sensing
SERVIR released the Synthetic Aperture Radar (SAR) Handbook which includes the comprehensive methodologies for Forest Monitoring and Biomass Estimation. This handbook contains a collection of state-of-the-art methods and theoretical background to facilitate the use of SAR data for forest monitoring and biomass estimation.
Subject Matter Expert (SME) in SAR, in collaboration with SERVIR, conducted five … CONTINUE READING
In this tutorial, we will try to perform the change detection using the SAR images from the Sentinel-1 satellite images in the Google Earth Engine. As the SAR images are acquired in different polarisation medium namely VV, HH, VH, and HV, we will focus on dual polarisation medium VV and VH. Also, we will be … CONTINUE READING
Dataset used: JRC Monthly Water History v1.0 (1984-2015). The google earth engine id is ‘JRC/GSW1_0/MonthlyHistory’.
The highlight of this dataset is
|water||0 = no data
1 = not water
2 = water