Investigation of vegetation changes in different seasons using satellite image and relationship between it and temperature changes (case study: North of Darab)

Subject Areas : RANGLAND MANAGMENT

Marzieh Mokarram ¹ , Maliehe Mozayan ² , Mohammad Faraji ³ , Katauon Musavi ⁴

1 - Shiraz university
2 - Dept. of Range and Watershed Management, College of Natural Resources of Khatamolanbiea,, Iran
3 - Dept. of Range and Watershed Management, College of Natural Resources of Khatamolanbiea,, Iran
4 - Dept. of Range and Watershed Management, College of Natural Resources of Khatamolanbiea,, Iran

Received: 2017-07-23 Accepted : 2017-11-22 Published : 2017-11-22

Keywords: Regression, Correlation, Vegetation index, temperature, Darab,

Abstract :

This research is studying the herbal covering crown change using climate information, satellite pictures, morphometric characteristics and its relation with herbal covering index and drought index is done in different pasture places in North part of Darab in Fars province. For this purpose, Landsat satellite pictures in 3 time periods of 2005 and 2015 was chosen and processing. It used ETM+8(2015) and aster (2005) for this goal. At first for pre-processing, the mathematical and Atmospheric scanning from pictures was taken and then with regarding the type of sampling from Landsat ETM+8(2015) pictures was used for surveying the modality scale of herbal covering with herbal index. For this purpose sampling was done from 39 points of area. In this research, the temperature measure and herbal covering was done with satellite pictures and for measurement technique. For surveying herbal coverage index and climate parameters is using climate parameters from regression Analysis. The result of correlation and linear regression relation was shown that there is meaningful relation between NDVI index and temperature measurement in this area, so that with increasing the temperature amount of herbal covering index is increasing. The results were shown that there is a meaningful relation between NDVI index and temperature in study area.

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