Published June 4, 2026
| Version v1
Book chapter
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Crop Mapping: Rice Mapping in Bhutan
Authors/Creators
- 1. NASA EarthRISE; University of Alabama in Huntsville
- 2. Earth Resources Technology
- 3. University of San Francisco; Spatial Informatics Group
Description
This chapter demonstrates semantic segmentation for crop type mapping, using Bhutan rice paddy mapping as the applied case study. It covers deep learning model development, training strategies, and evaluation using satellite imagery and Earth observation data.
Part of the EarthRISE Applied Artificial Intelligence and Deep Learning Book, Chapter 3: Semantic Segmentation.
Files
Applied-Artificial-Intelligence-and-Deep-Learning-Book_Crop Mapping Rice Mapping in Bhutan.pdf
Files
(18.9 MB)
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Additional details
Related works
- Is part of
- Book: 10.5281/zenodo.20547411 (DOI)
- Is supplemented by
- Software: https://github.com/NASA-EarthRISE/EarthRISE-Applied-Artificial-Intelligence-and-Deep-Learning-Book/tree/main/03_Semantic_Segmentation/01__Crop_Mapping (URL)