Júlio Caineta

Works (1)

Updated: April 23rd, 2025 20:24

2023 article

Automated in-season rice crop mapping using Sentinel time-series data and Google Earth Engine: A case study in climate-risk prone Bangladesh

Tiwari, V., Tulbure, M. G., Caineta, J., Gaines, M. D., Perin, V., Kamal, M., … Islam, A. F. M. T. (2023, December 12). Journal of Environmental Management, Vol. 351.

By: V. Tiwari n, M. Tulbure n , J. Caineta n, M. Gaines n , V. Perin n, M. Kamal *, T. Krupnik *, M. Aziz *, A. Islam *

author keywords: Synthetic aperture radar; Random forest; Multi-otsu; Boro rice; Flooding; In-season maps
MeSH headings : Oryza; Seasons; Bangladesh; Search Engine; Agriculture / methods
topics (OpenAlex): Rice Cultivation and Yield Improvement; Remote Sensing in Agriculture; Climate change impacts on agriculture
TL;DR: Although the multi-Otsu approach had relatively lower OCA, it proved effective in accurately mapping rice areas prior to harvest, eliminating the need for training samples that can be challenging to obtain during the growing season. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: January 29, 2024

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