Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Thanh Noi Phan"'
Autor:
Batnyambuu Dashpurev, Karsten Wesche, Yun Jäschke, Khurelpurev Oyundelger, Thanh Noi Phan, Jörg Bendix, Lukas W. Lehnert
Publikováno v:
Ecological Indicators, Vol 132, Iss , Pp 108331- (2021)
Land degradation is a major environmental and social issue in temperate steppes. It is commonly determined from vegetation cover using remote sensing techniques. Steppes in eastern Mongolia are subject to resource extraction activities, such as minin
Externí odkaz:
https://doaj.org/article/2138ab6c53754dbe9d917b24cdaa6fb0
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2411 (2020)
Land cover information plays a vital role in many aspects of life, from scientific and economic to political. Accurate information about land cover affects the accuracy of all subsequent applications, therefore accurate and timely land cover informat
Externí odkaz:
https://doaj.org/article/e99ba07b8fc04fe0ae4f97e280dd4607
Publikováno v:
International Journal of Remote Sensing. 44:452-468
Publikováno v:
Geocarto International. 37:14432-14450
Akademický článek
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Publikováno v:
IGARSS
In the Eastern Mongolian Steppe Ecosystem, one of the major driving factors of human-induced land degradation is the expansion of road networks mainly due to intensifications of oil exploration and exploitation. Modern remote sensing data and machine
Autor:
Quoc Vinh Tran, Trong Phuong Tran, Martin Kappas, Ammar Rafiei Emam, Thanh Noi Phan, Khac Thoi Nguyen
Publikováno v:
International Journal of Remote Sensing. 40:5544-5562
Recently, the MODerate resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) is considered one of the most suitable ways to retrieve air surface temperature (Ta) – one of the most important and widely used climate variables fo
Autor:
Thanh Noi, Phan1,2 phan.thanh.noi@gmail.com, Kappas, Martin1
Publikováno v:
Sensors (14248220). Jan2018, Vol. 18 Issue 1, p18. 20p.
Autor:
Lukas Lehnert, Thanh Noi Phan
Fires have become a major concern worldwide because of their serious effects, such as economic losses, alteration of ecosystems often leading to enhanced soil erosion, air pollution, and contribution to global warming through releasing CO2. In Mongol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7752ff5ec679ac1994d09ee8f89c5589
https://doi.org/10.5194/egusphere-egu2020-11064
https://doi.org/10.5194/egusphere-egu2020-11064
Autor:
Thanh Noi Phan, Yun Jäschke, Oyundari Chuluunkhuyag, Munkhzul Oyunbileg, Karsten Wesche, Lukas Lehnert
In this study, we investigate the performance of machine learning classification approaches and different remotely sensed data sources for identifying and mapping three types of grassland communities found in the Mongolian Steppe region (Artemisia, C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::268ab6c9a5ca8eaeae96dc73ec76cc7d
https://doi.org/10.5194/egusphere-egu2020-13399
https://doi.org/10.5194/egusphere-egu2020-13399