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Author: Soravis Supavetch

Affiliation: Department of Civil Engineering, Kasetsart University, Bangkok and Thailand

ISBN: 978-989-758-371-1

Keyword(s): Sentinel-2, Harvest Activity Detection and Remote Sensing for Agricultural Monitoring.

Abstract: Sugarcane is one of five important agricultural crops (Rice, Cassava, Sugarcane, Hevea, and Palm) and its critical to Thai’s economy. From these important, several decades that government pays attention to support the industry and help to stabilize the sector, enabling sugarcane mills to maintain their profitability even during times of depressed sugar prices in the world market. This role of sugarcane supply chain consists of the growers, millers and associated logistics personnel. Each miller has thousands of smallholders who grow sugarcane with their contract but the farmer can sign more than one contract each crop season depending on various factors such as prices and a loaning rate. Highly these competitive need an efficient monitoring procedure to control their contract in a harvesting peak period. The monitoring of the farmland requires tracking of them at an individual level that almost impossible for field visits. The initiated idea of this research is from the study of the E uropean Common Agricultural Policy (CAP) that plan to use remote sensing data (Control with Remote Sensing: CwRS) for controlling and monitoring agriculture land in growing season support a subsidy administration in the post-2020 timeframe. From the aims of the control with remote sensing in CAP and also in this sugarcane industry, the purpose of this study is checking the claimed parcels in an office in order to reduce the number of field visits. This paper introduces an approach for that objective which using Sentinel-2 data for a harvest detection. An algorithm (or a processing chain) in which demonstrated in this paper are an atmospheric correction, vegetation harvest index processing, data composite (cloud-free and the bare soil inspection), and geostatistical calculation of farmland for harvesting indicator. The results show an ability of the detection using remote sensing and the discussion for future improvement are explained in a conclusion. (More)

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Paper citation in several formats:
Supavetch, S. (2019). Sentinel-2 based Remote Evaluation System for a Harvest Monitoring of Sugarcane Area in the Northeast Thailand Contract Farming.In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-371-1, pages 234-241. DOI: 10.5220/0007723002340241

@conference{gistam19,
author={Soravis Supavetch.},
title={Sentinel-2 based Remote Evaluation System for a Harvest Monitoring of Sugarcane Area in the Northeast Thailand Contract Farming},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2019},
pages={234-241},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007723002340241},
isbn={978-989-758-371-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Sentinel-2 based Remote Evaluation System for a Harvest Monitoring of Sugarcane Area in the Northeast Thailand Contract Farming
SN - 978-989-758-371-1
AU - Supavetch, S.
PY - 2019
SP - 234
EP - 241
DO - 10.5220/0007723002340241

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