Invasive plants in coastal wetlands of the Great Lakes are degrading wetland habitat, decreasing biodiversity, and reducing ecosystem services. Our objective is to refine and integrate process-based ...
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 ...
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Lightweight framework enables faster, more accurate object detection for UAV remote sensing
Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing the use of unmanned aerial vehicles (UAVs) for real-world applications such ...
Atmospheric pollution, characterized by complex aerosols and ozone, poses a significant global challenge to climate, environment, and public health.
Over a number of years, the Bachmann laboratory (GRIT Lab) has been developing and improving radiative transfer and advanced statistical/AI models that can be used to invert key biophysical and ...
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 ...
A new computational model allows researchers to draw on normally incompatible data sets, such as satellite imagery and social media posts, to answer questions about what is happening in targeted ...
THE world's first large-scale remote sensing basic model with more than 10 billion parameters, "RingMo 3.0," was launched at the first Aerospace Information Technology Conference on Saturday, marking ...
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