Publication: Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery
Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery
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Rodríguez, A. C., Daudt, R. C., D’Aronco, S., Schindler, K., & Wegner, J. D. (2021). Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery. Remote Sensing, 13(21), 4302. https://doi.org/10.3390/rs13214302
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Abstract
Typhoon Goni crossed several provinces in the Philippines where agriculture has high socioeconomic importance, including the top-3 provinces in terms of planted coconut trees. We have used a computational model to infer coconut tree density from satellite images before and after the typhoon’s passage, and in this way estimate the number of damaged trees. Our area of study around the typhoon’s path covers 15.7 Mha, and includes 47 of the 87 provinces in the Philippines. In validation areas our model predicts coconut tree density with a
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- Rodríguez, Andrés C
- Daudt, Rodrigo Caye
- D'Aronco, Stefano
- Schindler, Konrad
- Wegner, Jan D
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Rodríguez, A. C., Daudt, R. C., D’Aronco, S., Schindler, K., & Wegner, J. D. (2021). Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery. Remote Sensing, 13(21), 4302. https://doi.org/10.3390/rs13214302
