Open AccessIDENTIFICATION OF DROUGHT EXTENT BASED ON VCI USING SENTINEL DATA: A CASE STUDY OF THE EASTERN OF IAŞI COUNTY
Author(s) -
Paul Macarof,
Florian Stătescu,
Cristian Iulian Birlica,
Paul Gherasim
Publication year - 2019
Publication title -
present environment and sustainable development
Language(s) - English
Resource type - Journals
eISSN - 2284-7820
pISSN - 1843-5971
DOI - 10.15551/pesd2019132013
Subject(s) - normalized difference vegetation index , multispectral image , remote sensing , vegetation (pathology) , vegetation index , physical geography , environmental science , geography , index (typography) , identification (biology) , cartography , ecology , leaf area index , computer science , biology , medicine , pathology , world wide web
In this study was analyzed zones affected by drought using Vegetation Condition Index (VCI), that is based on Normalized Difference Vegetation Index (NDVI). This fact, drought, is one of the most wide -spread and least understood natural phenomena. In this paper was used remote sensing (RS) data, kindly provided by The European Space Agency (ESA), namely Sentinel-2 (S-2) Multispectral Instrument (MSI) and wellkonwn images Landsat 8 Operational Land Imager (OLI). The RS images was processed in SNAP and ArcMap. Study Area, was considered the eastern of Iasi county. The main purpose of paper was to investigating if Sentinel images can be used for VCI analysis.