@inproceedings{af11f37e18dc421ea58e2bcee573f9df,
title = "Time Series Pattern of Radar Vegetation Index over Rubber Tree infected by Pestalotiopsis sp. leaf fall disease",
abstract = "In recent years, rubber plantations in Indonesia have been attacked by the Pestalotiopsis sp. leaf fall disease, which has caused a significant leaf fall that then creates a decline in latex production. Remote sensing data can be used to monitor the health of rubber plants. Sentinel-1 imagery is used to overcome cloud cover constraints in optical imagery at the Rubber Plantation. This study aims to analyze the spatial distribution and monthly rubber plant health trends using the radar vegetation indexes in Sembawa Rubber Plantation, South Sumatera, Indonesia. Furthermore this study compares the performance of two radar vegetation Index namely the RVI (Radar Vegetation Index) and NDRVI (Normalize Different Radar Vegetation Index) algorithms. The results of this study indicate that the vegetation index indicates the health of the rubber plant based on the leaf fall cycle due to Pestalotiopsis sp. within 5 months. A low index value indicates leaf fall, and a high value indicates regrowth.",
keywords = "NDRVI, Rubber plant health, RVI",
author = "Riesnandar, {Ariq Anggaraksa} and Manessa, {Masita Dwi Mandini} and Supriatna and Stevanus, {Charlos Togi} and Farida Ayu",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 8th Geoinformation Science Symposium 2023: Geoinformation Science for Sustainable Planet ; Conference date: 28-08-2023 Through 30-08-2023",
year = "2024",
doi = "10.1117/12.3009632",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Ariel Blanco and Rimba, {Andi Besse} and Chris Roelfsema and Sanjiwana Arjasakusuma",
booktitle = "Eighth Geoinformation Science Symposium 2023",
address = "United States",
}