Cultivating Success: Cambodia’s Crop Mapping Powered By Tensorflow And Google Earth Engine
To ensure that the initiatives developed adequately addressed Cambodia’s needs, SIG teams worked closely with the Cambodian Department of Agriculture and Land Resource Management (DALRM), identifying gaps in the existing data and developing a remote sensing-based approach to improve existing methods of crop mapping.
Spatial Informatics Group (SIG) And The University Of Vermont (UVM) Team Up To Demonstrate Small Unmanned Aircraft System (SUAS) Remote Sensing Capabilities In The Lake Tahoe Region
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
SIG And The University Of Vermont-Spatial Analysis Lab (UVM-SAL) Partner To Offer High-Resolution Imagery For Small Area Mapping
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
For Indonesia’s Wildfires, There Are No Easy Solutions
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
As Science Funding Decreases, Technology May Protect Our Ecological Future
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
SERVIR-Amazonia Brings Data To The Ground For Better Decision-Making In The Amazon
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
Simple Tech For Land Management: Training Local Users For Faster, Cost-Effective Results
SIG co-developed software to remotely monitor gold mining activity in Colombia. Illegal mining is a driver of deforestation and this project aims to empower authorities to respond quickly and appropriately. CoMiMo, which is available for desktop in both English and Spanish, uses satellite imagery and artificial intelligence to identify threatened areas.
Synthetic Aperture Radar Forest Disturbance Alert System
The Synthetic Aperture Radar Forest Disturbance Alert System (SARFDAS) is a powerful tool for detecting forest disturbances, integrating state-of-the-art technologies, automation, and human-based verification in a clean web interface for more timely and accurate decision-making and field response. SARFDAS leverages Synthetic Aperture Radar from the European Space Agency to identify forest disturbances even under inclement conditions when multispectral satellite imagery is patchy.
