会议论文详细信息
7th IGRSM International Remote Sensing & GIS Conference and Exhibition
A survey of drought and Variation of Vegetation by statistical indexes and remote sensing (Case study: Jahad forest in Bandar Abbas)
地球科学;计算机科学
Tamassoki, E.^1 ; Soleymani, Z.^1 ; Bahrami, F.^1 ; Abbasgharemani, H.^2
Hormozgan University, Bandar Abbas, Iran^1
Islamic Azad University, Yazd, Iran^2
关键词: Determination coefficients;    Maximum correlations;    Temperature and relative humidity;    Time interval;    Vegetation change;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/20/1/012033/pdf
DOI  :  10.1088/1755-1315/20/1/012033
学科分类:计算机科学(综合)
来源: IOP
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【 摘 要 】
The damages of drought as a climatic and creeping phenomenon are very enormous specially in deserts. Necessity of management and conflict with it is clear. In this case vegetation are damaged too, and even are changed faster. This paper describes the process of vegetation changes and surveys it with drought indexes such as statistical and remote sensing indexes and correlation between temperature and relative humidity by Geographical Information System (GIS) and Remote Sensing (RS) in forest park of Bandar Abbas in successive years. At the end the regression and determination-coefficient for showing the importance of droughts survey are computed. Results revealed that the correlation between vegetation and indexes was 0.5. The humidity had maximum correlation and when we close to 2009 the period of droughts increase and time intervals decrease that influence vegetation enormously and cause the more area lost its vegetation.
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