ASSESSING VEGETATION STRUCTURAL CHANGES IN OASIS AGRO-ECOSYSTEMS USING SENTINEL-2 IMAGE TIME SERIES: CASE STUDY FOR DRAA-TAFILALET REGION MOROCCO

被引：1
|
作者：
Eddahby, L. [1 ]
Popov, M. A. [2 ]
Stankevich, S. A. [2 ]
Kozlova, A. A. [2 ]
Svideniuk, M. O. [2 ]
Mezzane, D. [3 ]
Lukyanchuk, I [4 ]
Larabi, A. [1 ]
Ibouh, H. [5 ]
机构：
[1] Mohammadia Sch Engineers, Lab LIMEN Water Resources & Informat Technol, BO 765 Agdal, Rabat, Morocco
[2] Sci Ctr Aerosp Res Earth, Kiev, Ukraine
[3] Cadi Ayyad Univ, Fac Sci & Tech, LMCN, Marrakech, Morocco
[4] Picardie Jules Verne Univ, LPMC, Amiens, France
[5] Cadi Ayyad Univ, Fac Sci & Tech, LGSE, Marrakech, Morocco
来源：
5TH INTERNATIONAL CONFERENCE ON GEOINFORMATION SCIENCE - GEOADVANCES 2018: ISPRS CONFERENCE ON MULTI-DIMENSIONAL & MULTI-SCALE SPATIAL DATA MODELING | 2018年 / 42-4卷 / W12期
关键词：
LAI; Oasis; Vegetation Structure; Time Series Analysis; Change Detection; Remote Sensing; Sentinel-2; Tafilalet; Morocco; LEAF-AREA INDEX; LAI;
D O I：
10.5194/isprs-archives-XLII-4-W12-69-2019
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Nowadays, Moroccan oasis agro-ecosystems are under intense effect of natural and anthropogenic factors. Therefore, this essay proposes to use Leaf Area Index (LAI) to assess the consequences of the oases long-term biodegradation. The index was used as a widely-applied parameter of vegetation structure and an important indicator of plant growth and health. Therefore, a new optical multispectral Sentinel-2 data were used to build a long term LAI time series for the area of the Erfoud and Rissani oases, Errachidia province in Draa-Tafilalet region in Morocco. Nine images of LAI spatial distribution over the study area were obtained by means of SNAP Biophysical Processor over the period since July 2015 till May 2018. Time series analysis of the resultedmaps has revealed a stable trend towards the average LAI decreasing and vegetation structure simplification as a consequence.
引用
收藏
页码：69 / 73
页数：5
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