Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Nam Thang Ha"'
Autor:
Tien Dat Pham, Naoto Yokoya, Thi Thu Trang Nguyen, Nga Nhu Le, Nam Thang Ha, Junshi Xia, Wataru Takeuchi, Tien Duc Pham
Publikováno v:
GIScience & Remote Sensing, Vol 58, Iss 1, Pp 68-87 (2021)
Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large scale remains challenging due to the difficulty and
Externí odkaz:
https://doaj.org/article/d413959942384826be4f89e1d854a5a1
Autor:
Dang An Tran, Maki Tsujimura, Nam Thang Ha, Van Tam Nguyen, Doan Van Binh, Thanh Duc Dang, Quang-Van Doan, Dieu Tien Bui, Trieu Anh Ngoc, Le Vo Phu, Pham Thi Bich Thuc, Tien Dat Pham
Publikováno v:
Ecological Indicators, Vol 127, Iss , Pp 107790- (2021)
Groundwater salinization is considered as a major environmental problem in worldwide coastal areas, influencing ecosystems and human health. However, an accurate prediction of salinity concentration in groundwater remains a challenge due to the compl
Externí odkaz:
https://doaj.org/article/65ec6764a24446f6949d5852315ad03f
Autor:
Tien Dat Pham, Naoto Yokoya, Junshi Xia, Nam Thang Ha, Nga Nhu Le, Thi Thu Trang Nguyen, Thi Huong Dao, Thuy Thi Phuong Vu, Tien Duc Pham, Wataru Takeuchi
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1334 (2020)
This study proposes a hybrid intelligence approach based on an extreme gradient boosting regression and genetic algorithm, namely, the XGBR-GA model, incorporating Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 data to estimate the mangrove above-ground
Externí odkaz:
https://doaj.org/article/e0dc3771181d44ccbdffa7e0a078494e
Autor:
Tien Dat Pham, Nga Nhu Le, Nam Thang Ha, Luong Viet Nguyen, Junshi Xia, Naoto Yokoya, Tu Trong To, Hong Xuan Trinh, Lap Quoc Kieu, Wataru Takeuchi
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 777 (2020)
This study investigates the effectiveness of gradient boosting decision trees techniques in estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve (Vietnam). For this purpose, we employed a novel gradient-boosting regression
Externí odkaz:
https://doaj.org/article/2c53ff157a3d4506a57dd10e25ac5a9c
Publikováno v:
Remote Sensing, Vol 12, Iss 3, p 355 (2020)
Seagrass has been acknowledged as a productive blue carbon ecosystem that is in significant decline across much of the world. A first step toward conservation is the mapping and monitoring of extant seagrass meadows. Several methods are currently in
Externí odkaz:
https://doaj.org/article/23ab111a3f584c4cb91cb51188ebbc40
Publikováno v:
Sensors, Vol 19, Iss 8, p 1933 (2019)
Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of goods and services to the environment. They play a vital role in the global carbon cycle by reducing greenhouse gas emissions and mitigating the impacts of clim
Externí odkaz:
https://doaj.org/article/55f40b150d3d4fd9b423e4b06a50912f
Publikováno v:
Environmental Earth Sciences. 82
Publikováno v:
Water
Volume 15
Issue 5
Pages: 854
Volume 15
Issue 5
Pages: 854
Wetlands are highly productive ecosystems with the capability of carbon sequestration, providing an effective solution for climate change. Recent advancements in remote sensing have improved the accuracy in the mapping of wetland types, but there rem
Publikováno v:
International Journal of Remote Sensing. 42:4712-4738
Seagrass provides numerous valuable ecosystem services across a wide range of climatic regions. However, in terms of area and habitat, this resource is in decline globally and there is an urgent ne...
Autor:
Naoto Yokoya, Nga Nhu Le, Junshi Xia, Tien Dat Pham, Wataru Takeuchi, Thi Thu Trang Nguyen, Nam Thang Ha, Tien Duc Pham
Publikováno v:
GIScience & Remote Sensing. 58:68-87
Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large...