Study of Natural Radioactivity in Coal Samples of Baganuur Coal Mine, Mongolia

Altangerel, M.; Norov, N.; Алтангэрэл, Дамба

doi:10.1063/1.3122243

Cited by 3 publications

(2 citation statements)

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“…This is our base for rebuilding the Shambhala of Khamar Monastery, today. 91 Furthermore, Konchog Norbu, a Buddhist monk of Kunzang Palyul Chöling in Ulanbaatar, received the information from Altangėrėl that "the reconstruction of the site is an exact replica of Danzan Ravjaa's original layout, using updated building materials. It was designed to be used by pilgrims as a symbolic entry into Shambhala and to create the causes for their actual rebirth there in the future."…”

Section: Energy For Tourists and For Pilgrimsmentioning

confidence: 99%

Energy for Tourists and for Pilgrims: Khamaryn Khiid and the Shambhala Energy Centre in Mongolia

Kollmar-Paulenz

2017

Asiatische Studien - Études Asiatiques

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In the last decades Khamaryn Khiid and the nearby Shambhala Energy Centre, a fast growing Buddhist monastic site in the remote Gobi desert, has become one of the most popular pilgrimage sites in today’s Mongolia. The place draws Mongolian tourist-pilgrims who visit the monastery and adjacent sites as part of a family day-trip or longer holiday. Furthermore, the site has become attractive as a pilgrims’ goal for a western clientele that aims to combine ecologically inspired tourism with a spiritual journey. Based on recent fieldwork, the article examines the interplay of religion and tourism in the development of this global pilgrimage destination.

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Section: Energy For Tourists and For Pilgrimsmentioning

confidence: 99%

Energy for Tourists and for Pilgrims: Khamaryn Khiid and the Shambhala Energy Centre in Mongolia

Kollmar-Paulenz

2017

Asiatische Studien - Études Asiatiques

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“…While remote sensing technology must help in providing information to satisfy the needs that forest managers have, remote sensing must be a cost-effective and easily understandable technology (Altangerel & Udval, 2019). This research aims to apply FI and LST in order to improve forest estimation map.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Forest Coverage in Northern Region of Mongolia Using Sentinel and Landsat Data

Norovsuren

Renchin

Tseveen

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. This paper aims to apply Forest Index (FI) and to determine forest coverage in the study area. The study area (49° 15ʹ to 49° 10ʹ N and 104° 05ʹ to 104° 15ʹ E) is located in the northern region of Mongolia and consist of mixed forest. Larch forest (86.12%) is dominating in the study area. The Sentinel-2 satellite data for the years 2015–2019 were used in the research. The land surface temperature (LST) was produced from Landsat-8 OL. FI methodology was applied for the Sentinel data in order to estimate larch forest coverage. The output map of forest coverage was compared with ground truth measurements and thematic map. The agreement between FI map and ground measurement was 85%. LST from Landsat and FI from Sentinel were sampled in to same size. The relationship between LST (Landsat-8) and FI (Sentinel-2) was reasonable (R = 0.5). FI index and LST is applicable for different forest type in the region.

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