Zobrazeno 1 - 10
of 368
pro vyhledávání: '"land cover map"'
Autor:
Xinghua Cheng, Zhilin Li
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1568-1584 (2024)
Information on Land Use and Land Cover Map (LULCM) is essential for environment and socioeconomic applications. Such maps are generally derived from Multispectral Remote Sensing Images (MRSI) via classification. The classification process can be desc
Externí odkaz:
https://doaj.org/article/3c2a5007c18b499ab179f2b4d0c4f222
Autor:
Andrei Kartoziia
Publikováno v:
Earth, Vol 5, Iss 2, Pp 228-243 (2024)
The mapping of thermokarst landscapes and the assessment of their conditions are becoming increasingly important in light of a rising global temperature. Land cover maps provide a basis for quantifying changes in landscapes and identifying areas that
Externí odkaz:
https://doaj.org/article/9645108e302244d58e8680fb17ea8abb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2980-2994 (2024)
In this article, we propose a method exploiting irregular and unaligned Sentinel-2 satellite image time series (SITS) for large-scale land cover pixel-based classification. We perform end-to-end learning by combining a time and space informed kernel
Externí odkaz:
https://doaj.org/article/c1c176894458402eb8b83a3da2500f5f
Publikováno v:
Geo Data, Vol 5, Iss 4, Pp 304-313 (2023)
In this study, we utilized Google Earth Engine to construct, for the first time in South Korea, a long-term (1986-2021) continuous time series of land cover maps with a spatial resolution of 30 meters. Derived from the surface reflectance data of the
Externí odkaz:
https://doaj.org/article/ae7b827a01094f19afca57bc9443a71a
Autor:
Elie Morin, Ny Tolotra Razafimbelo, Jean-Louis Yengué, Yvonnick Guinard, Frédéric Grandjean, Nicolas Bech
Publikováno v:
Data in Brief, Vol 52, Iss , Pp 109829- (2024)
The land cover data presented here is a reconstruction of the past landscape (1993) at Very High Resolution (VHR) for the city of Poitiers, France. This reconstruction is based on multiple sources of images and data. We combined the strengths of both
Externí odkaz:
https://doaj.org/article/c2e33e155da842529adb580fd53c53af
Autor:
Andrii Shelestov, Bohdan Yailymov, Hanna Yailymova, Leonid Shumilo, Mykola Lavreniuk, Alla Lavreniuk, Sergiy Sylantyev, Nataliia Kussul
Publikováno v:
Proceedings of the International Conference on Applied Innovations in IT, Vol 10, Iss 1, Pp 125-132 (2022)
Based on modern satellite products Planet with high spatial resolution 3 meters, authors of this paper improved the neural network methodology for constructing land cover classification maps based on satellite data of high spatial resolution using th
Externí odkaz:
https://doaj.org/article/9d8c41193ef64184b4e2b3de0c68ef02
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2840 (2023)
An important uncertainty in the modeling of methane (CH4) emissions from natural wetlands is the wetland area. It is difficult to model wetlands’ CH4 emissions because of several factors, including its spatial heterogeneity on a large range of scal
Externí odkaz:
https://doaj.org/article/de549e49d9bf4307b077a98014b286bd
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 273-286 (2020)
Image segmentation in land cover regions which are overlapping in satellite imagery, is one crucial challenge. To detect true belonging of one pixel becomes a challenging problem while classifying mixed pixels in overlapping regions. In current work,
Externí odkaz:
https://doaj.org/article/9b60486e4a134863b20574cee0044437
Akademický článek
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Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 96, Iss , Pp 102266- (2021)
The CORINE Land Cover dataset for Norway for the reference year 2018 (CLC2018) was compared to detailed national land cover and land use data. This allowed us to describe the thematic composition of the CLC-polygons and aggregate the information into
Externí odkaz:
https://doaj.org/article/2559278d946b406fadc489de466d1c56