Search Results for author:
Found 4 papers, 1 papers with code
Challenges in data-based geospatial modeling for environmental research and practice
With the rise of electronic data, particularly Earth observation data, data-based geospatial modelling using machine learning (ML) has gained popularity in environmental research.
A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History
Finding optimal irrigation and water resources for crops is necessary to increase the efficiency of water usage.
A single image deep learning approach to restoration of corrupted remote sensing products
Remote sensing images are used for a variety of analyses, from agricultural monitoring, to disaster relief, to resource planning, among others.
Bayesian aggregation improves traditional single image crop classification approaches
We present a comparison between the classical ML approaches and U-Net NN for classifying crops with a single satellite image.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
