Embrace city science as a vital partner in architecture, merging creativity with data to build resilient and equitable urban ...

A two-year study using AI-based satellite imagery has concluded that the number of wildebeests migrating annually across the Serengeti-Mara ecosystem is less than 600,000. This figure is only half of ...

Compressed sensing technology is a novel signal processing theory that enables sampling and reconstruction of signals at rates far below the Nyquist sampling theorem. The EALISTA algorithm, as a key ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

This repository documents my complete learning journey through the Coursera course Remote Sensing Image Acquisition, Analysis, and Applications. It is part of my broader PhD preparation plan in ...

WASHINGTON — Small-satellite maker NOVI is expanding into the remote sensing market, announcing plans to launch two satellites capable of processing Earth observation data in orbit. The company said ...

A Kuaizhou-1A modified rocket lifts off from Xichang spaceport, July 31 UTC, 2025, carrying the Pakistan's PRSS-01 remote sensing satellite. Credit: Expace HELSINKI — China launched a remote sensing ...

This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coral reefs are facing several stressors, such as increases in sea surface temperature ...

Abstract: In remote sensing image building extraction, image regions with similar textures or colors often cause false positives and false negatives in building-detection. Global features can help the ...

An illustration of a magnifying glass. An illustration of a magnifying glass.