Estimation Of Productivity Based On Rice Growth Phenology Using Sentinel-2 Image (Case Study In Karawang And Malang District)

DOI

10.2991/978-2-38476-168-5_7How to use a DOI?

Keywords

Sentinel-2; EVI; rice; phenology; productivity

Abstract

Estimation and monitoring of rice plants using satellite imagery must be to provide information on rice growth and predict the yields efficiently. Utilization of remote sensing using the Sentinel-2 satellite is expected to be able to analyze agriculture at a detailed scale. The research was conducted in Karawang and Malang to compare rice plants' phenology, harvested areas, and productivity. The Enhanced Vegetation Index (EVI) parameter of Sentinel-2 multitemporal 10-day images in 2019-2021 was used to produce regional rice data information. Based on the analysis of maximum EVI values, 7 classes of rice fields were identified, namely 0.40-0.45; 0.45-0.50; 0.50-0.55; 0.55-0.60; 0.60-0.65; 0.65-0.70; and > 0.70. The days (age) after planting, locally termed as Days After Planting (DAP) based on the EVI value in Karawang is 0.91, while Malang is 0.90. The identified harvested area in Karawang Regency in 2019 is 174.95 thousand hectares and in 2020 is 185.80 thousand hectares, the average ratio is 0.94 slightly smaller than the statistics agency BPS data. While in Malang, the the average ratio was 0.87. Based on productivity, production in Karawang in 2019 was 73.87 qwintals/Ha, and in 2020 it was 72.91 qwintals/Ha. The estimated production in Malang Regency 2019 and 2020 was 74.59 qwintals/Ha, and 74.87 qwintals/Ha respectively. This result shows the potential of remote sensing for rice growth monitoring.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Gilang Aulia Herlambang
AU  - Ike Sari Astuti
AU  - Bagus Setiabudi Wiwoho
AU  - Dede Dirgahayu Domiri
PY  - 2023
DA  - 2023/12/30
TI  - Estimation Of Productivity Based On Rice Growth Phenology Using Sentinel-2 Image (Case Study In Karawang And Malang District)
BT  - Proceedings of the International Conference on Social Knowledge Sciences and Education (ICSKSE 2023)
PB  - Atlantis Press
SP  - 53
EP  - 70
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-168-5_7
DO  - 10.2991/978-2-38476-168-5_7
ID  - Herlambang2023
ER  -