Long-Term Landsat-Based Monthly Burned Area Dataset for the Brazilian Biomes Using Deep Learning.
- Published in:
- Remote Sensing, 2022, v. 14, n. 11, p. 2510, doi. 10.3390/rs14112510
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- Publication type:
- Article
Works matching AU Santos, Sarah Moura dos
Results: 7
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Large Forest Fires in Northwest Portugal: Exploring spatial patterns between 2001 and 2020, based on Landsat data.
- Published in:
- Sociedade & Natureza, 2023, v. 35, n. 1, p. 1, doi. 10.14393/SN-v35-2023-68265x
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- Publication type:
- Article
3
Research on Wildfires and Remote Sensing in the Last Three Decades: A Bibliometric Analysis.
- Published in:
- Forests (19994907), 2021, v. 12, n. 5, p. 604, doi. 10.3390/f12050604
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- Publication type:
- Article
4
Research on Wildfires, Soil Erosion and Land Degradation in the XXI Century.
- Published in:
- Fire (2571-6255), 2024, v. 7, n. 9, p. 327, doi. 10.3390/fire7090327
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- Publication type:
- Article
5
Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal.
- Published in:
- Fire (2571-6255), 2023, v. 6, n. 2, p. 43, doi. 10.3390/fire6020043
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- Publication type:
- Article
6
Assessment of Burned Forest Area Severity and Postfire Regrowth in Chapada Diamantina National Park (Bahia, Brazil) Using dNBR and RdNBR Spectral Indices.
- Published in:
- Geosciences (2076-3263), 2020, v. 10, n. 3, p. 106, doi. 10.3390/geosciences10030106
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- Publication type:
- Article
7
Assessment of vegetation regrowth and spatial patterns and severity factors of wildfires in wildland-urban interface -- the case of the large wildfire in Baião (2019).
- Published in:
- Cadernos de Geografia, 2023, n. 47, p. 21, doi. 10.14195/0871-1623_47_2
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- Publication type:
- Article