Seasonal parameter extraction of paddy rice fields in West Java using multi-temporal MODIS imagery datasets

Riswan S. Sianturi; Willem Nieuwenhuis; V. G. Jetten

doi:10.1117/12.2194999

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14 October 2015 Seasonal parameter extraction of paddy rice fields in West Java using multi-temporal MODIS imagery datasets

Riswan S. Sianturi, Willem Nieuwenhuis, V. G. Jetten

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Proceedings Volume 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII; 963703 (2015) https://doi.org/10.1117/12.2194999
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Continuous monitoring on farming practices is urgently needed provided the challenges faced by rice fields. Information of seasonal parameters supplies crucial inputs for monitoring rice fields as well as improving other applications, such as biomass monitoring, yield estimation, integrated pest management, irrigation water management, and precision farming. We extracted the heading stages using multi-temporal MODerate resolution Imaging Spectroradiometer (MODIS) imageries in rice fields in northern districts of West Java, Indonesia. The spatial distribution of the heading stages in the whole year suggests complex cropping pattern of rice fields in West Java. The monthly average of EVI shows that green waves move northward as the results of stipulated cropping calendar. The Root Mean Square Error (RMSE) for the heading stages is 12.77 days. The heading stages periods of most rice fields are from the middle of February to the middle of March and from the middle of June to the middle of July for rendeng and gadu, consecutively. The findings provide timely and cost effective information for monitoring rice fields.

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Riswan S. Sianturi, Willem Nieuwenhuis, and V. G. Jetten "Seasonal parameter extraction of paddy rice fields in West Java using multi-temporal MODIS imagery datasets", Proc. SPIE 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 963703 (14 October 2015); https://doi.org/10.1117/12.2194999

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