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Application of vegetation indices for forest land monitoring. / Zraenko, Sergey.
в: AIP Conference Proceedings, Том 2849, № 1, 190017, 2023.

Результаты исследований: Вклад в журналМатериалы конференцииРецензирование

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Zraenko S. Application of vegetation indices for forest land monitoring. AIP Conference Proceedings. 2023;2849(1):190017. doi: 10.1063/5.0162341

Author

Zraenko, Sergey. / Application of vegetation indices for forest land monitoring. в: AIP Conference Proceedings. 2023 ; Том 2849, № 1.

BibTeX

@article{b43cdbd8ca79491cb1aadbf71cd89720,
title = "Application of vegetation indices for forest land monitoring",
abstract = "The results of determining deforestation and forest vegetation growth for a given territory from 2006 to 2020 based on remote sensing data are presented. A method for selecting a threshold for the allocation of cut-down areas is proposed if information about the territory for an earlier year is known. At the same time, using it, areas of forest vegetation and clearings are highlighted in the image. After that, the differences between these sites from each other are determined for six vegetation indices: Normalized difference vegetation index (NDVI), Soil Adjusted Vegetation Index (SAVI), Atmospheric Resistant Vegetation Index (ARVI), Enhanced Vegetation Index (EVI), Vegetation Index (GCI), and Structure Insensitive Pigmentation Index (SIPI). The greatest differences between the forest vegetation and clearings were obtained for the SAVI, EVI, and GCI indices. Using the differences between the forests and clearings, masks of deforestation and vegetation growth were constructed according to the index images of 2006 and 2020. It is shown that the differences in areas in the allocation of cuttings and growth based on the EVI and SAVI indices do not exceed 10.3%. When comparing the EVI and GCI indices, the difference is 57.2%. This result indicates the unreliability of the GCI vegetation index and confirms the correctness of the values of deforestation and growth obtained using the EVI and SAVI indices. {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.",
author = "Sergey Zraenko",
note = "The work was supported by RFBR, contract N 19-29-09022.",
year = "2023",
doi = "10.1063/5.0162341",
language = "English",
volume = "2849",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics Publising LLC",
number = "1",

}

RIS

TY - JOUR

T1 - Application of vegetation indices for forest land monitoring

AU - Zraenko, Sergey

N1 - The work was supported by RFBR, contract N 19-29-09022.

PY - 2023

Y1 - 2023

N2 - The results of determining deforestation and forest vegetation growth for a given territory from 2006 to 2020 based on remote sensing data are presented. A method for selecting a threshold for the allocation of cut-down areas is proposed if information about the territory for an earlier year is known. At the same time, using it, areas of forest vegetation and clearings are highlighted in the image. After that, the differences between these sites from each other are determined for six vegetation indices: Normalized difference vegetation index (NDVI), Soil Adjusted Vegetation Index (SAVI), Atmospheric Resistant Vegetation Index (ARVI), Enhanced Vegetation Index (EVI), Vegetation Index (GCI), and Structure Insensitive Pigmentation Index (SIPI). The greatest differences between the forest vegetation and clearings were obtained for the SAVI, EVI, and GCI indices. Using the differences between the forests and clearings, masks of deforestation and vegetation growth were constructed according to the index images of 2006 and 2020. It is shown that the differences in areas in the allocation of cuttings and growth based on the EVI and SAVI indices do not exceed 10.3%. When comparing the EVI and GCI indices, the difference is 57.2%. This result indicates the unreliability of the GCI vegetation index and confirms the correctness of the values of deforestation and growth obtained using the EVI and SAVI indices. © 2023 American Institute of Physics Inc.. All rights reserved.

AB - The results of determining deforestation and forest vegetation growth for a given territory from 2006 to 2020 based on remote sensing data are presented. A method for selecting a threshold for the allocation of cut-down areas is proposed if information about the territory for an earlier year is known. At the same time, using it, areas of forest vegetation and clearings are highlighted in the image. After that, the differences between these sites from each other are determined for six vegetation indices: Normalized difference vegetation index (NDVI), Soil Adjusted Vegetation Index (SAVI), Atmospheric Resistant Vegetation Index (ARVI), Enhanced Vegetation Index (EVI), Vegetation Index (GCI), and Structure Insensitive Pigmentation Index (SIPI). The greatest differences between the forest vegetation and clearings were obtained for the SAVI, EVI, and GCI indices. Using the differences between the forests and clearings, masks of deforestation and vegetation growth were constructed according to the index images of 2006 and 2020. It is shown that the differences in areas in the allocation of cuttings and growth based on the EVI and SAVI indices do not exceed 10.3%. When comparing the EVI and GCI indices, the difference is 57.2%. This result indicates the unreliability of the GCI vegetation index and confirms the correctness of the values of deforestation and growth obtained using the EVI and SAVI indices. © 2023 American Institute of Physics Inc.. All rights reserved.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85176744793

U2 - 10.1063/5.0162341

DO - 10.1063/5.0162341

M3 - Conference article

VL - 2849

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 190017

ER -

ID: 48509408