Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Kavats, A. A."'
Monitoring and mapping open-pit mining activity is essential to identify operation sites and unaffected surfaces of mining areas. Vertical displacements of the earth's surface associated with open pit mining can be detected using high spatial resolut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14a940842355bb821ce5e2139e13a941
https://doi.org/10.5194/egusphere-egu23-5181
https://doi.org/10.5194/egusphere-egu23-5181
Publikováno v:
System technologies. 3:47-59
Open satellite concentration data for the main greenhouse gases (CO2, CH4, N2O) are considered in terms of their possible use for local, regional, and global monitoring. The main data characteristics are provided. The satellite products most suitable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36b70b640ff6cbfbd81871835bda88c
https://doi.org/10.34185/1562-9945-3-140-2022-05
https://doi.org/10.34185/1562-9945-3-140-2022-05
Publikováno v:
Journal of Applied Mathematics and Computational Mechanics, Vol 15, Iss 3, Pp 57-65 (2016)
Externí odkaz:
https://doaj.org/article/2e6a2488e7a34e089570471a8cb9c0d9
Publikováno v:
System technologies. 4:56-73
Current approaches to carbon stock estimation in forest ecosystems are discussed. Datasets containing biomass and carbon stock estimates that can be used for training/validation in machine learning are described. Examples of applying the remote appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4755c87134d20b313a4592224497c1d
https://doi.org/10.34185/1562-9945-4-141-2022-05
https://doi.org/10.34185/1562-9945-4-141-2022-05
Publikováno v:
Remote Sensing, Vol 12, Iss 24, p 4080 (2020)
The algorithms for determining sugarcane harvest dates are proposed; the algorithms allow the ability to monitor large areas and are based on the publicly available Synthetic Aperture Radar (SAR) and optical satellite data. Algorithm 1 uses the NDVI
Externí odkaz:
https://doaj.org/article/48602e085f0040acb823b8787c822b96
Publikováno v:
Water; Volume 14; Issue 24; Pages: 4030
Water resources are an important component of ecosystem services. During long periods of cloudiness and precipitation, when a ground-based sample is not available, the water bodies are detected from satellite SAR (synthetic-aperture radar) data using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c20b4ad9ffddc3c6ff1ca6755950693
Akademický článek
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Autor:
Olena Kavats, Dmitriy Khramov, Kateryna Sergieieva, Julia Puputti, Jari Joutsenvaara, Ossi Kotavaara
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dba3fbe469c01921547a9deaff30dac3
https://doi.org/10.1109/igarss46834.2022.9883600
https://doi.org/10.1109/igarss46834.2022.9883600
Publikováno v:
Remote Sensing, Vol 11, Iss 21, p 2496 (2019)
Algorithm for determining crop harvesting dates based on time series of coherence and backscattering coefficient ( σ 0 ) derived from Sentinel-1 single look complex (SLC) synthetic-aperture radar (SAR) images is proposed. The algorithm allows the ab
Externí odkaz:
https://doaj.org/article/c98fb0fc29324662a1377f1f8f7eedb4
Autor:
Kavats, Olena1 alyona.kavats@eosda.com, Khramov, Dmitriy1 dmitriy.hramov@eosda.com, Sergieieva, Kateryna1 ekaterina.sergeeva@eos.com, Vasyliev, Volodymyr1
Publikováno v:
Proceedings of the Bulgarian Geological Society. 2020, Vol. 81 Issue 3, p195-197. 3p.