160 - 173
VEGETATION AND FOREST FIRE REGION CLASSIFICATION IN ATROOS REGION BY USING R.S AND GIS.
Authors: Muzahim Saeed Younis Mohammed Younis Al-Allaf Ahmed Bahjat Khala
Number of views: 609
This study was conducted on the floor coverings deployed in the Atroosh
City in the province of Dohuk which are located in northern Iraq between
longitudes 43º 17 23.207 - 43º 26 43.598 and latitudes 36º 49 12.363 -
36º 53 14.208 and heights ranging from level Searbin637—1404m and an area
of96.58 km2
. Featuring site Atrush occurrence within the formations of the
mountainous region , which has many different plant covers , where in natural
broadleaf , needle , mixed , as well as natural pastures and agricultural land , has
been part of these forests to fires in different periods. For the purpose of
classification of the study area for various blankets and plant areas of forest fires
, we have based on the field survey to identify ground control points by using
GPS for the purposes of classification, and also used the satellite image of
satellite Pleiades captured on 06.02.2013 by resolution 2m for the purpose of
classification , where we conduct the classification process is directed
classification unsupervised the satellite image , and showed the result of
classification we get 10 classes , namely forests burned , forests broad-leaved
forests, needle , mixed forests , soil , grass and jungles , pastures , agricultural
land , roads, buildings and Mnchaouat and rocks , have been identified and
compared with Ground control points and the 135 points, where was calculated
classification accuracy of the satellite image and evaluated , based on the
standards used for such studies , a matrix of errors Error Matrix to the
percentage of each classes and the map as a whole , and the accuracy of the seed
85.18% , the measure was also adopted to calculate the Kappa statistical
precision as this scale measures the degree of difference between the ground
control points that have been taken and the changes that have been classified in
Category stomach map of the site itself and compare, and were 84.56%.
Key words: Vegetation classification, Forest fire, Remote Sensing, GIS.
Diyala Agricultural Sciences Journal, 7 ( 1 ):160-173. ISRA impact factor 4.758.
http://www.agriculmag.uodiyala.edu.iq
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