Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных

The work is devoted to monitoring and mapping thermokarst lakes based on multispectral satellite data. It gives a description of lakes evolution details in Central Yamal through classification and with regard to qualitative changes in the lakes over the past ten years. To analyze and interpret image...

Full description

Bibliographic Details
Published in:Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
Main Authors: Puzanov, A. V., Drost, H. J., Kirillov, V. V., Lovtskaya, O. V., Balykin, D. N., Koveshnikov, M. I., Akulova, O. B., Teshebaeva, K., Khvorova, L. A., Kulshin, A. V., Kotovshchikov, A. V., Kovalevskaya, N. M.
Format: Article in Journal/Newspaper
Language:Russian
Published: 2024
Subjects:
Online Access:https://research.vu.nl/en/publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104
https://doi.org/10.21046/2070-7401-2024-21-1-308-322
https://hdl.handle.net/1871.1/fe0195ce-ccea-467a-8ed9-55d8ec40f104
http://www.scopus.com/inward/record.url?scp=85189477933&partnerID=8YFLogxK
http://www.scopus.com/inward/citedby.url?scp=85189477933&partnerID=8YFLogxK
id ftvuamstcris:oai:research.vu.nl:publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104
record_format openpolar
spelling ftvuamstcris:oai:research.vu.nl:publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104 2024-06-23T07:50:37+00:00 Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных Comprehensive monitoring of Central Yamal lakes based on multispectral imaging usage Puzanov, A. V. Drost, H. J. Kirillov, V. V. Lovtskaya, O. V. Balykin, D. N. Koveshnikov, M. I. Akulova, O. B. Teshebaeva, K. Khvorova, L. A. Kulshin, A. V. Kotovshchikov, A. V. Kovalevskaya, N. M. 2024 https://research.vu.nl/en/publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104 https://doi.org/10.21046/2070-7401-2024-21-1-308-322 https://hdl.handle.net/1871.1/fe0195ce-ccea-467a-8ed9-55d8ec40f104 http://www.scopus.com/inward/record.url?scp=85189477933&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85189477933&partnerID=8YFLogxK rus rus https://research.vu.nl/en/publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104 info:eu-repo/semantics/restrictedAccess Puzanov , A V , Drost , H J , Kirillov , V V , Lovtskaya , O V , Balykin , D N , Koveshnikov , M I , Akulova , O B , Teshebaeva , K , Khvorova , L A , Kulshin , A V , Kotovshchikov , A V & Kovalevskaya , N M 2024 , ' Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных ' , Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa , vol. 21 , no. 1 , pp. 308-322 . https://doi.org/10.21046/2070-7401-2024-21-1-308-322 image analysis and interpretation Landsat Sentinel-2 thermokarst lakes water processors Yamal article 2024 ftvuamstcris https://doi.org/10.21046/2070-7401-2024-21-1-308-322 2024-06-06T00:44:01Z The work is devoted to monitoring and mapping thermokarst lakes based on multispectral satellite data. It gives a description of lakes evolution details in Central Yamal through classification and with regard to qualitative changes in the lakes over the past ten years. To analyze and interpret images in the context of qualitative characteristics of water bodies and pattern recognition, the time series (1984-2018) of multispectral Landsat satellite images of Bovanenkovo region (Central Yamal training area) is used. It appeared that Yamal is characterized by permanently silty lakes (hyper-silty lakes, silty lakes, moderately silty lakes) and intermittently silty lakes (silty lakes with hyper-silty pulses, moderately silty lakes with silt pulses, almost silt-free lakes with silt pulses). Field data and Sentinel-2 images (2018-2019) are employed to derive water quality parameters and inherent optical properties. Our findings suggest that total suspended matter concentration is a major characteristic of Yamal thermokarst lakes (lake classes distinguishable in multispectral images by reflectance also differ in ranges of total suspended matter concentration). An additional result is that main scatterers (sources of “white particles”) of thermokarst lakes in Central Yamal are silts, clays and minerals, which increase water reflectivity due to high scattering and relatively low absorption. In order to obtain comprehensive results, including all possible ranges of water parameters, the creation of a specific Arctic bio-optical database is required. Article in Journal/Newspaper Arctic Thermokarst Vrije Universiteit Amsterdam (VU): Research Portal Arctic Bovanenkovo ENVELOPE(68.437,68.437,70.354,70.354) Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 21 1 308 322
institution Open Polar
collection Vrije Universiteit Amsterdam (VU): Research Portal
op_collection_id ftvuamstcris
language Russian
topic image analysis and interpretation
Landsat
Sentinel-2
thermokarst lakes
water processors
Yamal
spellingShingle image analysis and interpretation
Landsat
Sentinel-2
thermokarst lakes
water processors
Yamal
Puzanov, A. V.
Drost, H. J.
Kirillov, V. V.
Lovtskaya, O. V.
Balykin, D. N.
Koveshnikov, M. I.
Akulova, O. B.
Teshebaeva, K.
Khvorova, L. A.
Kulshin, A. V.
Kotovshchikov, A. V.
Kovalevskaya, N. M.
Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
topic_facet image analysis and interpretation
Landsat
Sentinel-2
thermokarst lakes
water processors
Yamal
description The work is devoted to monitoring and mapping thermokarst lakes based on multispectral satellite data. It gives a description of lakes evolution details in Central Yamal through classification and with regard to qualitative changes in the lakes over the past ten years. To analyze and interpret images in the context of qualitative characteristics of water bodies and pattern recognition, the time series (1984-2018) of multispectral Landsat satellite images of Bovanenkovo region (Central Yamal training area) is used. It appeared that Yamal is characterized by permanently silty lakes (hyper-silty lakes, silty lakes, moderately silty lakes) and intermittently silty lakes (silty lakes with hyper-silty pulses, moderately silty lakes with silt pulses, almost silt-free lakes with silt pulses). Field data and Sentinel-2 images (2018-2019) are employed to derive water quality parameters and inherent optical properties. Our findings suggest that total suspended matter concentration is a major characteristic of Yamal thermokarst lakes (lake classes distinguishable in multispectral images by reflectance also differ in ranges of total suspended matter concentration). An additional result is that main scatterers (sources of “white particles”) of thermokarst lakes in Central Yamal are silts, clays and minerals, which increase water reflectivity due to high scattering and relatively low absorption. In order to obtain comprehensive results, including all possible ranges of water parameters, the creation of a specific Arctic bio-optical database is required.
format Article in Journal/Newspaper
author Puzanov, A. V.
Drost, H. J.
Kirillov, V. V.
Lovtskaya, O. V.
Balykin, D. N.
Koveshnikov, M. I.
Akulova, O. B.
Teshebaeva, K.
Khvorova, L. A.
Kulshin, A. V.
Kotovshchikov, A. V.
Kovalevskaya, N. M.
author_facet Puzanov, A. V.
Drost, H. J.
Kirillov, V. V.
Lovtskaya, O. V.
Balykin, D. N.
Koveshnikov, M. I.
Akulova, O. B.
Teshebaeva, K.
Khvorova, L. A.
Kulshin, A. V.
Kotovshchikov, A. V.
Kovalevskaya, N. M.
author_sort Puzanov, A. V.
title Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
title_short Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
title_full Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
title_fullStr Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
title_full_unstemmed Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных
title_sort комплексный мониторинг озёр центрального ямала на основе использования многоспектральных данных
publishDate 2024
url https://research.vu.nl/en/publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104
https://doi.org/10.21046/2070-7401-2024-21-1-308-322
https://hdl.handle.net/1871.1/fe0195ce-ccea-467a-8ed9-55d8ec40f104
http://www.scopus.com/inward/record.url?scp=85189477933&partnerID=8YFLogxK
http://www.scopus.com/inward/citedby.url?scp=85189477933&partnerID=8YFLogxK
long_lat ENVELOPE(68.437,68.437,70.354,70.354)
geographic Arctic
Bovanenkovo
geographic_facet Arctic
Bovanenkovo
genre Arctic
Thermokarst
genre_facet Arctic
Thermokarst
op_source Puzanov , A V , Drost , H J , Kirillov , V V , Lovtskaya , O V , Balykin , D N , Koveshnikov , M I , Akulova , O B , Teshebaeva , K , Khvorova , L A , Kulshin , A V , Kotovshchikov , A V & Kovalevskaya , N M 2024 , ' Комплексный мониторинг озёр Центрального Ямала на основе использования многоспектральных данных ' , Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa , vol. 21 , no. 1 , pp. 308-322 . https://doi.org/10.21046/2070-7401-2024-21-1-308-322
op_relation https://research.vu.nl/en/publications/fe0195ce-ccea-467a-8ed9-55d8ec40f104
op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.21046/2070-7401-2024-21-1-308-322
container_title Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
container_volume 21
container_issue 1
container_start_page 308
op_container_end_page 322
_version_ 1802641534710972416