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 ...

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 ...

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 ...

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 ...

How you map out your Professional Master's is up to you, but if you're interested in remote sensing and space mission design, and have a long term goal of being a principal investigator on a future ...

Spaceborne Light Detection and Ranging (LiDAR) has become a powerful tool for observing forest height, biomass, carbon stocks ...

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 ...

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 ...

a multidimensional poverty index (MPI). Using state-of-the-art machine learning algorithms, findings suggest that the model had relatively low levels of predictive accuracy, insufficient to provide ...