Initial Experiments with a Scalable Machine Learning Based Approach for Downscaling the MOD16A2 Evapotranspiration Product
Objective Over the years, the amount of cropping and by extension the water used for cropping has intensified greatly. The…
Notes from the CoRE stack Research to Impact Collaborative held on July 8th 2024
ACM COMPASS is an international conference focused on the application of computing technologies for sustainability. COMPASS 2024 was held in…
IndiaSAT: Landuse Land LandCover Classification
Landscapes change in response to nature and human activities. Land use and land cover (LULC) classification is required for land…
CoRE Stack Geospatial Layers and Datasets
We had sent an update a few months back on our progress with putting together several novel geospatial layers through…
A Digital Public Infrastructure for Climate Change Adaptation
Introduction: In pursuit of our objective to build technologies for communities to enhance natural resource management (NRM), the CoRE Stack…
Empowering Communities through Data for Improved Socio-ecological Sustainability and Resilience
In a collaborative effort by Gram Vaani, Magasool, IIT Delhi, IIT Palakkad, FES, GIZ, SUPPORT, and 4S teams, a series…
NRM work impact from Gridih Jharkhand
The Mobile Vaani team initiated an awareness and demand generation campaign on the issues of climate change in January 2023….
Complexities in assessing farm ponds
Natural Resource Management (NRM) works are taken up under the government welfare schemes like MGNREGA, PMKVY, etc. Many watershed structures…
Launch of LULC Ground Truth Data Collection
Ground truth is a “gold standard” that can be used to build, compare, and evaluate classification models. In supervised learning…