Tsukuba, Japan—Forests, known as nature's "green dams," play a crucial role in replenishing Earth's groundwater reserves. However, overcrowding in planted forests due to lack of maintenance activities ...
Summer field work kicks off for the Survey of Climate and Adirondack Lake Ecosystems, the largest study of Adirondack waters ...
Synergistic Use of AI and Remote Sensing for Monitoring Crop Health and Optimizing Stress Management
Agricultural systems are facing mounting challenges as rapid global change intensifies the frequency and severity of extreme events that threaten crop ...
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Earth AI foundation models reshaping remote sensing
What’s new: Pre-trained AI foundation models for remote sensing now enable efficient adaptation to diverse environmental monitoring tasks with minimal additional training data. Why it matters: They ...
The latest phase of the Radiation Transfer Model Inter-comparison (RAMI-V) aimed to improve the accuracy of radiative transfer models (RTMs) used for simulating radiation measurements over plant ...
Aquila improves remote sensing image comprehension through two linked innovations. First, it accepts image inputs up to 1,024 × 1,024 pixels, far higher than the 448 × 448 scale supported by many ...
The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...
Advance Your GI Science Knowledge With MTU's Remote Sensing Certificate. Mountainous terrain, dense forests, swamps and wetlands, and coastal groves and mangroves. These are some examples of difficult ...
Analyze images and other data to solve problems across disciplines. Imagery and other data collected by satellites, crewed aircraft, and uncrewed aerial systems (UAS) are increasingly important for ...
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