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Monitoring and condition mapping for sustainable use of summer pasture

Arshad Yashar Yashar

arshad.yashar@gmail.com

Bahruz Nuriyev Nuraddin

nuruyev27@gmail.com

Izzat Talibov Atakhan

izzettalibov@mail.ru

18401 ­ ­ EN ­ ­ 32. April 2020 ­ ­­ ­ pastures biodiversity erosion grazing Landsat DEM remote sensing NDVI RVI EVI

Remote sensing has the potential of improving our ability to monitoring and mapping pasture degradation. The article investigated and mapped the current status of pastures based remotely sensed data. Erosion-sensitive areas have also been identified. Digital Elevation Models and Sentinel-2 imageries have been used for research. Normalized difference vegetation index (NDVI), ratio vegetation index (RVI) and enhanced vegetation index (EVI) was calculated and mapped based on the Sentinel imageries for determine the level of erosion.

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Agshin. Huseynzade

Master of Azerbaijan State University of Economics (UNEC)

   

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Orkhan. Balayev

Education Center of Tax Ministry of Azerbaijan Republic

   

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Shovkat. Yusufova

Azerbaijan Cooperation University

  Ph.D., docent  

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. Shahla

Baku State University

   

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Emilya. Shukurova

диссертант Бакинского государственного университета

   

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Parviz. Aliyev

Chief of department, Agricultural Research Center
Ph.D. student of the Agricultural Research Center

   

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Natig. Mirzayev

Lankaran State University

   

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Israfil. Ismayilov

Advisor to the Chairman of “Agroservice” OJSC

  Prof. Dr.  

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Sabuhi. Eldarov

Research Institute of Plant Protection and Technical Plants

   

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Yegane. Abbasova

Azerbaijan State Agrarian University

  Doctor of Philosophy in Economics  

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Vuqar. Namazov

Ph.D. candidate of the Azerbaijan State Economic University (UNEC)

   

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Khayala. Guliyeva

Ph.D. student of the Agricultural Research Center

   

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Alizamin. Guliyev

Ph.D. candidate of the Azerbaijan Technical University

   

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Nargiz. Hasanova

Azerbaijan State Agrarian University

   

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Fuad. Rzayev

Ph.D. student of the Azerbaijan Technical University

   

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Zakir. Guliyev

Baku Business University

  Doctor of Philosophy in Economics