scikit-eo: A Python package for Remote Sensing Data Analysis
Author:
Publisher
The Open Journal
Link
https://joss.theoj.org/papers/10.21105/joss.06692.pdf
Reference13 articles.
1. Fusing Landsat and SAR data for mapping tropical deforestation through machine learning classification and the PVts-β non-seasonal detection approach;Tarazona;Canadian Journal of Remote Sensing,2021
2. Monitoring tropical forest degradation using remote sensing. Challenges and opportunities in the Madre de Dios region, Peru;Tarazona;Remote Sensing Applications: Society and Environment,2020
3. Improving tropical deforestation detection through using photosynthetic vegetation time series – (PVts-β);Tarazona;Ecological Indicators,2018
4. Good practices for estimating area and assessing accuracy of land change;Olofsson;Remote Sensing of Environment,2014
5. Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil;Pott;ISPRS Journal of Photogrammetry and Remote Sensing,2021
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