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Information Journal Paper

Title

Long Term Mean of Vegetation Analysis in Iran using NDVI Index

Pages

  1-14

Abstract

Vegetation is the mirror of climate. So getting information on Vegetation status, such as their extent and distribution, is of great importance. It is very difficult and costly to gather information about continuous Vegetation changes with conventional methods. Therefore, remote sensing is a very useful method that provides a wide view of a region. The purpose of this study is to examine the average long-term average of Iran's coatings with the help of Normalized Difference Vegetation Index (NDVI). In this paper, the 16 days data of NDVI data of MODIS Aqua from 13/4/1381 to 13/12/1393 were exploited from MODIS web page and then in the base of 10 billion of codes, the Long Term Mean of 16 days NDVI of Iran during the years was calculated. As the NDVI of above 0. 2 represents Vegetation, the Long Term Mean of Vegetation was calculated for each of the 16 days. The findings showed that Iran’ s Vegetation in the period of December 26th to January 9th is minimum covering about 8 percent of Iran's territory, and from April 15th to May 1th is maximum with 30 percent of coverage.

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    APA: Copy

    MONTAZERI, MAJID, & KEFAYAT MOTLAGH, OMID REZA. (2018). Long Term Mean of Vegetation Analysis in Iran using NDVI Index. GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), 29(3 (71) ), 1-14. SID. https://sid.ir/paper/153218/en

    Vancouver: Copy

    MONTAZERI MAJID, KEFAYAT MOTLAGH OMID REZA. Long Term Mean of Vegetation Analysis in Iran using NDVI Index. GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN)[Internet]. 2018;29(3 (71) ):1-14. Available from: https://sid.ir/paper/153218/en

    IEEE: Copy

    MAJID MONTAZERI, and OMID REZA KEFAYAT MOTLAGH, “Long Term Mean of Vegetation Analysis in Iran using NDVI Index,” GEOGRAPHY AND ENVIRONMENTAL PLANNING (UNIVERSITY OF ISFAHAN), vol. 29, no. 3 (71) , pp. 1–14, 2018, [Online]. Available: https://sid.ir/paper/153218/en

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