Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most. Forest restoration, protected areas, wildlife corridors, and enforcement ...

Abstract: Remote sensing image retrieval with text feedback (RSIR-TF) presents a challenging multimodal retrieval task that leverages a reference image, modification text, and scene graph to retrieve ...

Abstract: Remote sensing semantic segmentation plays a crucial role in the fields of land cover classification, disaster monitoring, and urban planning. However, due to the high complexity and ...

An investigation reveals how the National Greening Program pushed Indigenous communities to clear-cut their own land and ...

Rice University has signed an $8.1 million cooperative agreement to lead the United States Space Force University Consortium/Space Strategic Technology Institute 4 (SSTI), called the Center for ...

For IWD 2026, we speak with Danielle Wright, a remote sensing analyst and grassland expert with Victoria’s Country Fire ...

For IWD 2026, we speak with Shokoufeh Farhadi about her geospatial career in Iran and in Australia, and her love for the ...

A growing cluster of deep learning tools is giving conservation biologists something they have never had before: ...

Where are habitats available for threatened species? Are they improving or deteriorating? What landscapes could potentially be used for rewilding animals? A new modeling framework has combined years ...

Driving global innovation through precision sensing technology, intelligent data integration, and sustainable water ...