Zobrazeno 1 - 10
of 131
pro vyhledávání: '"D. Amarsaikhan"'
Autor:
D. Amarsaikhan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1417-1421 (2020)
The aim of this research is to classify urban land cover types using an advanced classification method. As the input bands to the classification, the features derived from Landsat 8 and Sentinel 1A SAR data sets are used. To extract the reliable urba
Externí odkaz:
https://doaj.org/article/9e01747ae86a4f6dbab55b70b999cdf1
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 257-262 (2012)
The aim of this study is to conduct a forest resources study using optical and synthetic aperture radar (SAR) satellite images. For this purpose, a forest-dominated site around the Lake Khuvsgul located in northern Mongolia is selected. As remote sen
Externí odkaz:
https://doaj.org/article/ea117ea7611c441da5499db810dab088
Publikováno v:
Geocarto International. 35:1615-1626
The aim of this study is to produce updated forest map of the Bogdkhan Mountain, Mongolia using multitemporal Sentinel-2A images. The target area has highly mixed forest types and it is very diffic...
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Autor:
Clement Atzberger, Sebastian Böck, D. Amarsaikhan, Jonathan Chambers, Jargaltulga Tsogtbayar, Munkhdulam Otgonbayar
Publikováno v:
Journal of Geoscience and Environment Protection. :238-263
The purpose of this study was to prepare a cropland suitability map of Mongolia based on comprehensive landscape principles, including topography, soil properties, vegetation, climate and socio-economic factors. The primary goal was to create a more
Publikováno v:
Scopus-Elsevier
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 257-262 (2012)
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 257-262 (2012)
The aim of this study is to conduct a forest resources study using optical and synthetic aperture radar (SAR) satellite images. For this purpose, a forest-dominated site around the Lake Khuvsgul located in northern Mongolia is selected. As remote sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaf8fe954489b1f4c0333c2f517788c9
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/257/2012/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/257/2012/
Publikováno v:
Journal of Geoscience and Environment Protection. :123-128
At present, air pollution has become the main problem in many developed and developing countries. Especially, in Ulaanbaatar city of Mongolia, it has become one of the most tackled issues of every citizen living in the capital city. The aim of this s
Publikováno v:
International Journal of Sustainable Building Technology and Urban Development. 5:35-43
The aim of this study is to analyse the urban land use changes of the central part of Ulaanbaatar city, Mongolia using advanced spatial methods. For the study, the changes that occurred before 1990 are compared with the changes that occurred after 19
Publikováno v:
Advances in Remote Sensing. :242-246
The aim of this research is to apply TerraSAR X-band, Envisat C-band and Palsar L-band synthetic aperture radar (SAR) images for a knowledge acquisition process. For the study, backscattering properties of different natural and man-made objects of ur
Autor:
R. Gantuya, M. Ganzorig, Hans Heinrich Blotevogel, D. Amarsaikhan, J.L. van Genderen, B. Nergui
Publikováno v:
International Journal of Image and Data Fusion. 1:83-97
The two objectives of this study are to compare the performances of different data fusion techniques for the enhancement of urban features and subsequently to improve urban land cover types classification using a refined Bayesian classification. For