Pemetaan Lahan Sub-Optimal Berbasis Nilai NDVI Sentinel 2a: Studi Pendahuluan

Mapping of Sub-Optimal Land Based on NDVI Sentinel 2a Value: Preliminary Study

*Indarto Indarto orcid scopus  -  Universitas Jember, Indonesia
Rufiani Nadzirah  -  Universitas Jember, Indonesia
Hadrian Reksa Belagama  -  Universitas Jember, Indonesia
Received: 7 Jan 2020; Revised: 17 Nov 2020; Accepted: 21 Nov 2020; Published: 30 Nov 2020.
Open Access
Citation Format:
Abstract
Normalised Difference Vegetation Index (NDVI) is one of the vegetation indices used to analyse vegetation density. This study presents the potential use of NDVI to map dry-marginal-agricultural land (Dry-MAL). The study conducted in the eastern part of Situbondo, which includes three districts, namely, Arjasa, Asembagus and Jangkar. Sentinel-2A (recorded in 2018) and 450 Control points (GCPs) are used as the primary input. The region is an area with distinctive climate characteristics, where the dry season is longer than the rainy season. Analysis using "SNAP plug-ins" and "QGIS". Research procedures include (1) data inventory, (2) data pre-processing, (3) data processing and (4) accuracy testing. The NDVI classification can distinguish six (6) classes of land-use, i.e., water bodies, residential areas, dry MAL, non-irrigated rural area, irrigated paddy fields, forest-plantations. The NDVI classification produces Overall and Kappa accuracy values =  66,9% and 61,6%. Although the overall and kappa accuracy is below the standard, however, the result will benefit for further research of index vegetation or soil more applied for the identification of Dry-MAL
Keywords: sentinel 2A; NDVI; classification; dry-marginal; agricultural-land
Funding: Universitas Jember

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Last update: 2021-04-10 17:00:58

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Last update: 2021-04-10 17:00:58

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