Júlio Caineta

Works (1)

Updated: April 5th, 2024 18:34

2023 journal article

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

JOURNAL OF ENVIRONMENTAL MANAGEMENT, 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
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

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.