Super-resolution land cover mapping represents a transformative approach in remote sensing, enabling the creation of fine-scale maps from coarse imagery. This technique mitigates the limitations ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral similarity with global ...

The use and uncertainties of spatial data for landscape models: an overview with examples from the Florida Everglades / Fred H. Sklar and Carolyn T. Hunsaker -- Measuring and predicting species ...

This research project seeks to address the challenging problem of sharpening remotely sensed hyperspectral imagery with higher resolution multispectral or panchromatic imagery, with a focus on ...

A new artificial intelligence model, PLGMamba, improves hyperspectral image super-resolution by combining local spectral ...

International partnerships that provide political and financial contracts are highly needed to conserve tropical rainforests, ...

WASHINGTON — Researchers have designed a single-photon time-of-flight LiDAR system that can acquire a high-resolution 3D image of an object or scene up to 1 kilometer away. The new system could help ...

Satellite-based remote sensing detection of methane distribution at landfill sites. Panels a-c depict open dumpsites, while panels d-f show engineered sanitary landfills. Methane is a potent ...

The oil slick creeping toward Iran's Hara wetlands shows why remote sensing is no longer optional in conflict zones As the ...

As carbon markets scale across Kenya’s landscapes, from the mangroves of Lamu to the drylands of Kitui, the question is no longer whether we can measure carbon, but how fast, how accurately, and at ...

WASHINGTON — A new report by a group of national security think tanks sheds light on the rapidly evolving global commercial remote sensing industry and delves into the heated competition between the ...