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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

18406 ­ ­ 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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Sabuhi. Eldarov

Research Institute of Plant Protection and Technical Plants

   

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Mehman. Rzayev

Azerbaijan RPA Hydrotechnics and Melioration

  doctor of agrarian sciences  

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Heydar. Agayev

Ph.D. student of the Azerbaijan Cooperation University

   

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Saadat. Hajiyeva

Ph.D. student of the Agricultural Economics Research Center

   

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Sarvan. Jafarov

Ph.D. student of the Agricultural Economics Research Center

   

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Sabina. Valiyeva

Doctoral student of the Agro Researches Center

  Ph.D., docent  

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Sevil. Maharramova

PhD student of the Scientific Research Institute of Agromechanics

   

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Elchin. Khalilov

Research Institute of Plant Protection and Technical Plants

   

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Fuad. Rzayev

Ph.D. student of the Azerbaijan Technical University

   

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Arzu. Huseyn

Azerbaijan Tourism and Management University

  Ph.D., docent  

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Isak. Hasanov

Head of Shamkir Support Point

   

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Manzar. Nasibova

Senior researcher

   

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Elay. Zeynalli

Azerbaijan State Agrarian University

   

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Ceyran. Babirova

Ph.D. student Azerbaijan State University of Economics (UNEC)

   

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Ramina. Mustafayeva

Azerbaijan State Agrarian University

  Ph.D., docent  

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Abdulrahim. Dadashov

Ph.D. candidate of UNEC, Agricultural Economics Research Center