Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Hoan Thanh Nguyen"'
Autor:
Tetsuya SUEKANE, Hoan Thanh NGUYEN
Publikováno v:
Journal of Fluid Science and Technology, Vol 8, Iss 3, Pp 322-336 (2013)
The saturation of gas trapped in porous rocks by capillarity depends on many factors. Herein, we focused on the effect of gas saturation at flow reversal on capillary trapping saturation. To investigate gas trapping in various sandstone cores, experi
Externí odkaz:
https://doaj.org/article/a006b861dbce4109878c1c0044485d94
Autor:
Luong Viet Nguyen, Ryutaro Tateishi, Akihiko Kondoh, Ram C. Sharma, Hoan Thanh Nguyen, Tu Trong To, Dinh Ho Tong Minh
Publikováno v:
Land, Vol 6, Iss 3, p 47 (2017)
The authors would like to correct the following errors in Figure 1 in [1]: In the original publication data source is wrong in “Figure 1. [...]
Externí odkaz:
https://doaj.org/article/a4ed490194704f82a45064c6bcb402c1
Autor:
Ram C. Sharma, Ryutaro Tateishi, Keitarou Hara, Hoan Thanh Nguyen, Saeid Gharechelou, Luong Viet Nguyen
Publikováno v:
Sensors, Vol 17, Iss 2, p 235 (2017)
The damage of buildings and manmade structures, where most of human activities occur, is the major cause of casualties of from earthquakes. In this paper, an improved technique, Earthquake Damage Visualization (EDV) is presented for the rapid detecti
Externí odkaz:
https://doaj.org/article/d5845d1151884c43af4726ab0dc2ccc0
Autor:
Luong Viet Nguyen, Ryutaro Tateishi, Akihiko Kondoh, Ram C. Sharma, Hoan Thanh Nguyen, Tu Trong To, Dinh Ho Tong Minh
Publikováno v:
Land, Vol 5, Iss 4, p 31 (2016)
This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomass data, the performance
Externí odkaz:
https://doaj.org/article/db4106f7fa1c4ee7a62649bd54d7b3ad
Autor:
Kien Trung Nguyen, Hoan Thanh Nguyen, Bac Quang Nguyen, Chuc Ngoc Pham, Dung Trung Doan, Chi Thi Ha Nguyen, Lim Thi Duong, Hoa Anh Bui, Que Anh Nguyen, Thuat Ngoc Pham, Du Duy Bui, Nhiem Ngoc Dao
Publikováno v:
Mining, Metallurgy & Exploration. 39:1779-1792
Autor:
Hoan Thanh Nguyen, Ram C. Sharma, Luong Viet Nguyen, Saeid Gharechelou, Ryutaro Tateishi, Xiulian Bai
Publikováno v:
Journal of Geoscience and Environment Protection. :81-93
Derivation of more sensitive spectral features from the satellite data is immensely important for better retrieving land cover information and change monitoring, such as changes in snow covered area, forests, and barren lands as some examples from lo
Autor:
Hoan Thanh Nguyen, Ram C. Sharma, Tu Trong To, Ryutaro Tateishi, Luong Viet Nguyen, Son Mai Le
Publikováno v:
Advances in Remote Sensing. :131-144
The potential of ALOS-2 SAR data for the estimation of tropical forest structural characteristics was assessed in Vietnam by collecting forest inventory data. The effect of polarization and seasonality of the SAR data on the estimation of forest biom
Autor:
Tu Trong To, Luong Viet Nguyen, Akihiko Kondoh, Hoan Thanh Nguyen, Dinh Ho Tong Minh, Ram C. Sharma, Ryutaro Tateishi
Publikováno v:
Land, Vol 6, Iss 3, p 47 (2017)
The authors would like to correct the following errors in Figure 1 in [1]: In the original publication data source is wrong in “Figure 1. [...]
Autor:
Ryutaro Tateishi, Hoan Thanh Nguyen, Saeid Gharechelou, Ram C. Sharma, Keitarou Hara, Luong Viet Nguyen
Publikováno v:
Sensors, Vol 17, Iss 2, p 235 (2017)
Sensors; Volume 17; Issue 2; Pages: 235
Sensors (Basel, Switzerland)
Sensors; Volume 17; Issue 2; Pages: 235
Sensors (Basel, Switzerland)
The damage of buildings and manmade structures, where most of human activities occur, is the major cause of casualties of from earthquakes. In this paper, an improved technique, Earthquake Damage Visualization (EDV) is presented for the rapid detecti
Autor:
Ram C. Sharma, Ryutaro Tateishi, Tu Trong To, Hoan Thanh Nguyen, Dinh Ho Tong Minh, Akihiko Kondoh, Luong Viet Nguyen
Publikováno v:
Land (Basel)
Land (Basel), 2016, 5 (4), 15 p. ⟨10.3390/land5040031⟩
Land
Land, MDPI, 2016, 5 (4), 15 p. ⟨10.3390/land5040031⟩
Land, Vol 5, Iss 4, p 31 (2016)
Land; Volume 5; Issue 4; Pages: 31
Land (Basel), 2016, 5 (4), 15 p. ⟨10.3390/land5040031⟩
Land
Land, MDPI, 2016, 5 (4), 15 p. ⟨10.3390/land5040031⟩
Land, Vol 5, Iss 4, p 31 (2016)
Land; Volume 5; Issue 4; Pages: 31
International audience; This research was carried out in a dense tropical forest region with the objective of improving the biomass estimates by a combination of ALOS-2 SAR, Landsat 8 optical, and field plots data. Using forest inventory based biomas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ec0bfeecd06164f5194c7d04d470e4e
https://hal.archives-ouvertes.fr/hal-01899068/document
https://hal.archives-ouvertes.fr/hal-01899068/document