Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia

The work presents the results of studying NDVI (Normalized Difference Vegetation Index) for identification and mapping of ground vegetation using Terra/Modis satellite data. NDVI dynamics for various types of agricultural crops and lands at the south of Krasnoyarsk krai and Khakasia Republic was det...

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Bibliographic Details
Main Authors: Pugacheva, I.Yu., Shevyrnogov, A.P.
Other Authors: Institute of Biophysics SB RAS
Format: Article in Journal/Newspaper
Language:English
Published: Adnan Menderes Üniversitesi Ziraat Fakültesi Dergisi 2008
Subjects:
Krasnoyarsk Krai
Siberia
Online Access:http://hdl.handle.net/11607/2669
id ftadnanmenderes:oai:adudspace.adu.edu.tr:8080:11607/2669
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spelling ftadnanmenderes:oai:adudspace.adu.edu.tr:8080:11607/2669 2023-05-15T17:05:24+02:00 Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia Pugacheva, I.Yu. Shevyrnogov, A.P. Institute of Biophysics SB RAS 2008 http://hdl.handle.net/11607/2669 eng eng Adnan Menderes Üniversitesi Ziraat Fakültesi Dergisi International Meeting on Soil Fertility Land Management and Agroclimatology Pugacheva, Yu. I., Shevyrnogov, P. A. (2008). Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia. International Meeting on Soil Fertility Land Management and Agroclimatology, Special Issue, 319-324. http://hdl.handle.net/11607/2669 Special Issue 319 324 info:eu-repo/semantics/openAccess article 2008 ftadnanmenderes 2022-03-02T17:06:21Z The work presents the results of studying NDVI (Normalized Difference Vegetation Index) for identification and mapping of ground vegetation using Terra/Modis satellite data. NDVI dynamics for various types of agricultural crops and lands at the south of Krasnoyarsk krai and Khakasia Republic was detected during the 2006 growth period and analyzed. Article in Journal/Newspaper Krasnoyarsk Krai Siberia Adnan Menderes University: eArsiv@Adu
institution Open Polar
collection Adnan Menderes University: eArsiv@Adu
op_collection_id ftadnanmenderes
language English
description The work presents the results of studying NDVI (Normalized Difference Vegetation Index) for identification and mapping of ground vegetation using Terra/Modis satellite data. NDVI dynamics for various types of agricultural crops and lands at the south of Krasnoyarsk krai and Khakasia Republic was detected during the 2006 growth period and analyzed.
author2 Institute of Biophysics SB RAS
format Article in Journal/Newspaper
author Pugacheva, I.Yu.
Shevyrnogov, A.P.
spellingShingle Pugacheva, I.Yu.
Shevyrnogov, A.P.
Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
author_facet Pugacheva, I.Yu.
Shevyrnogov, A.P.
author_sort Pugacheva, I.Yu.
title Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
title_short Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
title_full Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
title_fullStr Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
title_full_unstemmed Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia
title_sort studying features of ndvi dynamics for vegetation monitoring of the south of central siberia
publisher Adnan Menderes Üniversitesi Ziraat Fakültesi Dergisi
publishDate 2008
url http://hdl.handle.net/11607/2669
genre Krasnoyarsk Krai
Siberia
genre_facet Krasnoyarsk Krai
Siberia
op_relation International Meeting on Soil Fertility Land Management and Agroclimatology
Pugacheva, Yu. I., Shevyrnogov, P. A. (2008). Studying features of NDVI dynamics for vegetation monitoring of the South of Central Siberia. International Meeting on Soil Fertility Land Management and Agroclimatology, Special Issue, 319-324.
http://hdl.handle.net/11607/2669
Special Issue
319
324
op_rights info:eu-repo/semantics/openAccess
_version_ 1766059920840458240

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