Výsledky vyhledávání - "ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis"

SAGA GIS for Computing Multispectral Vegetation Indices by Landsat TM for Mapping Vegetation Greenness

Autor: Polina Lemenkova

Publikováno v: Contemporary Agriculture, Vol 70, Iss 1-2, Pp 67-75 (2021)
Contemporary Agriculture
Contemporary Agriculture, 2021, 70 (1-2), pp.67-75. ⟨10.2478/contagri-2021-0011⟩

Summary The study presents a comparative analysis of eight Vegetation Indices (VIs) used to examine vegetation greenness over the northern coasts of Iceland. The geographical extent of the study area is set by the coordinates of the two fjords, Eyjaf

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d343877e11e7eb40a9d92c4e591ccf4e
https://doaj.org/article/a3cb1157740f487d8b454929b1b7e3e5

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Distance-based vegetation indices computed by SAGA GIS: A comparison of the perpendicular and transformed soil adjusted approaches for the LANDSAT TM image

Autor: Polina Lemenkova

Publikováno v: Poljoprivredna Tehnika
Poljoprivredna Tehnika, University of Belgrade, Faculty of Agriculture, 2021, 46 (3), pp.49-60. ⟨10.5937/PoljTeh2103049L⟩

International audience; Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db6d1de130b7f0e91ffb6695ad1be2b
https://doi.org/10.5937/poljteh2103049l

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Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning By SAGA GIS

Autor: Lemenkova, Polina

Publikováno v: Transylvanian Review of Systematical and Ecological Research
Transylvanian Review of Systematical and Ecological Research, 2020, 22 (3), pp.17-34. ⟨10.2478/trser-2020-0015⟩
Transylvanian Review of Systematical and Ecological Research, Vol 22, Iss 3, Pp 17-34 (2020)

Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecological monitoring of Yaoundé requires visualization of vegetation types in context of climate change. Vegetation Indices (VIs) derived from Sentinel-2 multispec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::738783e9875137122c074c9908f907c5
https://doi.org/10.2478/trser-2020-0015

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Evaluating land cover types from Landsat TM using SAGA GIS for vegetation mapping based on ISODATA and K-means clustering

Autor: Polina Lemenkova

Publikováno v: Acta Agriculturae Serbica
Acta Agriculturae Serbica, University of Kragujevac-Faculty of Agronomy, Čačak, 2021, 26 (56), pp.159-165. ⟨10.5937/AASer2152159L⟩

International audience; The paper presents the cartographic processing of the Landsat TM image by the two unsupervised classification methods of SAGA GIS: ISODATA and K-means clustering. The approaches were tested and compared for land cover type map

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4abc57bb10d42175ed2835d4bdcb79
https://hal.archives-ouvertes.fr/hal-03504862/document

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Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness

Autor: Polina Lemenkova

Publikováno v: Czech Polar Reports
Czech Polar Reports, MUNI Press, 2021, 11, pp.67-85. ⟨10.5817/cpr2021-1-6⟩

International audience; This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-ofthe art in cartographic development points at two important aspe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8aa1473063f6ece07a64f57018e151d
https://hal.archives-ouvertes.fr/hal-03327151

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ISO Cluster Classifier by ArcGIS for Unsupervised Classification of the Landsat TM Image of Reykjavík

Autor: Polina Lemenkova

Publikováno v: Bulletin of Natural Sciences Research
Bulletin of Natural Sciences Research, University of Priština-Faculty of Natural Sciences and Mathematics, Kosovska Mitrovica, 2021, 11 (1), pp.29-37. ⟨10.5937/bnsr11-30488⟩

International audience; The paper presents the use of the Landsat TM image processed by the ArcGIS Spatial Analyst Tool for environmental mapping of southwestern Iceland, region of Reykjavik. Iceland is one of the most special Arctic regions with uni

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e8bf4f9e37bff385da5da99855b955f
https://hal.archives-ouvertes.fr/hal-03277625

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Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophysical Settings Analysed and Visualized by GMT

Autor: Lemenkova, Polina

Publikováno v: Glasnik Srpskog Geografskog Drustva
Glasnik Srpskog Geografskog Drustva, 2021, 100 (2), pp.1-23. ⟨10.2298/GSGD2002001L⟩
Glasnik Srpskog Geografskog Društva, Vol 100, Iss 2, Pp 1-23 (2020)

International audience; The paper discusses the geomorphology of the Sunda Trench, an oceanic trench located in the eastern Indian Ocean along the Sumatra and Java Islands of the Indonesian archipelago. It analysis difference in depths and variation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f7dc2546a0c3b2c5c6d91e02a2e9c03
https://hal.archives-ouvertes.fr/hal-03093633/file/723-1017-1-PB.pdf

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Object Based Image Segmentation Algorithm of SAGA GIS for Detecting Urban Spaces in Yaoundé, Cameroon

Autor: Lemenkova, Polina

Publikováno v: Central European Journal of Geography and Sustainable Development
Central European Journal of Geography and Sustainable Development, Romanian Geographical Society-Prahova Branch, 2020, 2 (2), pp.38-51
Central European Journal of Geography and Sustainable Development, Vol 2, Iss 2, Pp 38-51 (2020)

International audience; Present study is focused on the satellite image processing by means of SAGA GIS. The objective of the study is assessment and analysis of the core urban areas and its spatial distribution in the limits of the city and suburbs.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218728c3b9c1a67268703b652d357deb
https://zenodo.org/record/4362199

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Fall detection and activity recognition using stereo low-resolution thermal imaging

Autor: Zoetgnande, Yannick

Publikováno v: Signal and Image processing. Université de Rennes 1 (UR1), 2020. English

Nowadays, it is essential to find solutions to detect and prevent the falls of seniors. We proposed a low-cost device based on a pair of thermal sensors. The counterpart of these low-cost sensors is their low resolution (80x60 pixels), low refresh ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4d12ade7f654078af3066e4d5906cddf
https://tel.archives-ouvertes.fr/tel-03118117

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Détection des chutes et reconnaissance de l'activité à l'aide de l'imagerie thermique stéréo basse résolution

Autor: Zoetgnande, Yannick

Publikováno v: Signal and Image Processing. Université de Rennes, 2020. English. ⟨NNT : 2020REN1S073⟩
Signal and Image processing. Université de Rennes 1 (UR1), 2020. English
Signal and Image Processing. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S073⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::049cf9d908c0037e27f055942fcff7e0
https://theses.hal.science/tel-03118117v2/document

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