Rice cropping systems classification using time-series Landsat images and Phenology-based algorithms in Suphan Buri, Thailand

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Published: Dec 25, 2023
DOI: https://doi.org/10.14456/apst.2024.10
Keywords:
Rice phenology Remote sensing Time-series analysis Rice cropping systems Google Earth Engine

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Chattida Singkawat
Department of Geography, Faculty of Liberal Arts, Thammasat University, Pathum Thani, Thailand
Kritchayan Intarat
Department of Geography, Faculty of Liberal Arts, Thammasat University, Pathum Thani, Thailand
https://orcid.org/0000-0002-0728-753X

Abstract

Suphan Buri, a province in the central region of Thailand, is essentially a rice producing and exporting area of Thailand. This study aims to classify rice cropping systems, applying a phenological and pixel-based paddy rice mapping (PPPM) algorithm along with the cutting-edge Google Earth Engine (GEE) cloud platform. Four cropping systems i.e., single rice crop (SCR), double rice crop (DCR), two and a half rice crop (THCR), and triple rice crop (TCR), are duly investigated. To support agricultural policies and irrigation, rice cropping systems can provide vital information. Such an approach can analyze the heading-period rice's phenology using the Enhanced Vegetation Index (EVI) retrieved from the Landsat 8 time-series images. Statistical assessments are employed to evaluate the rice cropping systems, revealing the high performance of the PPPM model. Overall results are seen to be highly successful, attaining an accuracy of 0.91; Kappa statistics reach 0.80. GEE reveals many advantages in geospatial analysis.

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How to Cite
Singkawat, C., & Intarat, K. (2023). Rice cropping systems classification using time-series Landsat images and Phenology-based algorithms in Suphan Buri, Thailand. Asia-Pacific Journal of Science and Technology, 29(01), APST–29. https://doi.org/10.14456/apst.2024.10
Issue
Vol. 29 No. 01 (2024): JAN-FEB
Section
Research Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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