pesd12.2

	PRESENT ENVIRONMENT AND SUSTAINABLE DEVELOPMENT Volume 13, Issue no.2/ 2019

	Title: IDENTIFICATION OF DROUGHT EXTENT BASED ON VCI USING SENTINEL DATA: A CASE STUDY OF THE EASTERN OF IAŞI COUNTY
	Authors : Paul Macarof 1, Florian Statescu 1, Cristian Iulian Birlica 1, Paul Gherasim 1 1 Gheorghe Asachi” Technical University of Iasi. E-mail : Coresponding Author : macarofpaul@yahoo.com,
	https://doi.org/10.15551/pesd2019132013
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	Abstract 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.

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