Remote sensing has become a powerful tool in precision agriculture, facilitating non-invasive and timely crop monitoring. Among various crops, rice holds significant importance...
Bryan Currinder + Adrianna Gorsky + Anna Schmidt ...
The application of remote sensing data to studies of lake microbial community composition and metabolism in inland waters has been limited by the available spectral resolution...
Recent advancements in remote sensing, machine learning and abundant ground data open a new opportunity to monitor agriculture across scales. Here, we report recent progresses...
Akash Ashapure + Arun Saranathan + Brandon Smith ...
A primary challenge in aquatic remote sensing is the development of a robust Atmospheric Correction (AC) method to estimate remote sensing reflectance (Rrs) products (defined...
From satellites to in-situ high-throughput phenotyping systems, remotely sensed data can be used to inform and improve crop model simulations. Typically, model calibration...