Primary forests, or old-growth forests as they are sometimes called, are epicenters of rich biodiversity, are more resilient ...

Specifically, we need to improve remote sensing of the global inland water surface area, water residence time and concentrations of organic carbon in these ecosystems. Furthermore, tropical and ...

A new study has unveiled a cutting-edge framework that harnesses deep learning and remote sensing to identify building materials with remarkable accuracy.

Remote Sensing Scientists use sensors to analyze data and solve regional, national, and global problems in areas such as natural resource management, urban planning, and climate and weather prediction ...

In the case of the Mediterranean region, models that have been specifically calibrated for its agro-climatic conditions yield more accurate carbon measurements. Remote sensing techniques are the ...

These collaborations aim to address climate change challenges. The Singapore Land Authority (SLA) has signed two partnerships ...

Remote sensing (satellite and ground-based) is increasingly being used as a technique to probe the Earth's atmosphere, ocean and land surfaces. Probing of other planets is accomplished largely by ...

Additional projects aim at developing techniques for scaling hydrological processes and for designing ground-based observation networks tailored for integration with remote sensing and modeling.

Peking University has collaborated with the University of Southern Denmark (SDU) to identify urban building materials with remote sensing and AI, allowing urban planners to reduce carbon emissions via ...

A new study introduces an innovative framework that harnesses satellite observations and machine learning models to quantify the direct impacts of ...