Open AccessUsing of Temporal Variability for Monitoring Change of Vegetation via Remote Sensing in Anbar Province
Author(s) -
M A Gharbi,
H N Mukhlif
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/904/1/012038
Subject(s) - normalized difference vegetation index , vegetation (pathology) , remote sensing , vegetation cover , vegetation index , satellite , land cover , environmental science , enhanced vegetation index , change detection , physical geography , geography , satellite imagery , land use , geology , climate change , ecology , oceanography , medicine , pathology , aerospace engineering , engineering , biology
The use of spectral indicators and evidence based on remote sensing and the results of space data is one of the most important means of detecting changes in vegetation and land cover. Three space scenes were selected to assess vegetation changes in Anbar governorate, consisting of 33 satellite shots in different dates for the years 1999, 2009 and 2019, captured by the Landsat 5 and Landsat 8 for the two sensors TM and OLI. Spectral data were used to calculate NDVI normal vegetative variation index values. The results showed that the area of barren land continued to increase by 24,809. 19 km2 by 11.47, 11.98 and 30.56% for 1999, 2009 and 2019 respectively and the area of dense vegetation decreased by 857.73 km2 by 0.30, 0.17 and 1.40% for the same years respectively.