Zobrazeno 1 - 10
of 1 681
pro vyhledávání: '"landsat5"'
Autor:
Wu, Mingfei1 (AUTHOR) 22038039@zju.edu.cn, Zhang, Xiaoyu1,2 (AUTHOR) jielin@zju.edu.cn, Bai, Linze1 (AUTHOR) sc20184@zju.edu.cn, Bi, Ran3 (AUTHOR) weijf22@mails.tsinghua.edu.cn, Lin, Jie1 (AUTHOR), Su, Cheng1 (AUTHOR), Liao, Ran3 (AUTHOR) liao.ran@sz.tsinghua.edu.cn
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 14, p2579. 23p.
Autor:
V. M. Fernández-Pacheco, C. A. López-Sánchez, E. Álvarez-Álvarez, M. J. Suárez López, L. García-Expósito, E. Antuña Yudego, J. L. Carús-Candás
Publikováno v:
Proceedings, Vol 2, Iss 23, p 1430 (2018)
Air pollution is one of the major environmental problems, especially in industrial and highly populated areas. Remote sensing image is a rich source of information with many uses. This paper is focused on estimation of air pollutants using Landsat-5
Externí odkaz:
https://doaj.org/article/262fb65307784814ac2725c80eae4dae
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2579 (2024)
As one of the most important ecosystems, the water body is losing water during the rapid development of the city. To understand the impacts on water body change during the rapid urbanization period, this study combines data from the OpenStreetMap pla
Externí odkaz:
https://doaj.org/article/7ba3b8d0bc56420398eafed86bcd0aa3
Akademický článek
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Autor:
Carlos A. López-Sánchez, M. J. Suárez López, V. M. Fernández-Pacheco, E. Antuña Yudego, Eduardo Álvarez-Álvarez, L. García-Expósito, J. L. Carús-Candás
Publikováno v:
Proceedings, Vol 2, Iss 23, p 1430 (2018)
Air pollution is one of the major environmental problems, especially in industrial and highly populated areas. Remote sensing image is a rich source of information with many uses. This paper is focused on estimation of air pollutants using Landsat-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b618de9cc9f4f2a56f78aa67a6aaa64
https://www.mdpi.com/2504-3900/2/23/1430
https://www.mdpi.com/2504-3900/2/23/1430
Publikováno v:
Canadian Journal of Remote Sensing. 38:570-585
Pixel-based image classification has been used to capture various components of vegetation for a number of applications and at a range of spatial scales across the world. The few studies that have attempted to capture the floristic composition of veg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1556ac858ae6eaf492ea6cb2fbbbf2f1
https://doi.org/10.5589/m12-047
https://doi.org/10.5589/m12-047
Autor:
Suneetha Yedla, Anji Reddy Mareddy
Publikováno v:
E3S Web of Conferences, Vol 472, p 02003 (2024)
Urban areas endure larger variations in ground surface temperature, vegetation, and water content than rural areas do due to the accelerated rise of technology, urbanization, and industrialization. These challenges could be investigated by using GIS
Externí odkaz:
https://doaj.org/article/35cd157b3a6b49da8a7e5197e03e1bbf
Autor:
Boras, Marijana1, Herceg-Bulić, Ivana1 ivana.herceg.bulic@gfz.hr, Žgela, Matej1, Nimac, Irena2,3
Publikováno v:
Geofizika. 2022, Vol. 39 Issue 2, p259-279. 21p.
Publikováno v:
IGARSS
Data synergy or fusion is a mechanism whereby discrete types of data are used together to achieve a better understanding than was possible with each individually. Spanning over 30% of the Earth's landmass, the global forest plays a significant role i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef45596fd76e50749ab105932e7fb5d
https://doi.org/10.1109/igarss.2016.7729446
https://doi.org/10.1109/igarss.2016.7729446
Publikováno v:
Advanced Materials Research. :205-210
Cloud is an important factor affect the quality of optical remote sensing image. How to automatically detect the cloud cover of an image, reduce of useless data transmission, make great significance of higher data rate usefulness. This paper represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43a3567b6e30a04df267d2a3ecf5c3b9
https://doi.org/10.4028/www.scientific.net/amr.271-273.205
https://doi.org/10.4028/www.scientific.net/amr.271-273.205