Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hong Xuan Trinh"'
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
Autor:
Luong Viet Nguyen, Junshi Xia, Naoto Yokoya, Hong Xuan Trinh, Wataru Takeuchi, Lap Quoc Kieu, Tien Dat Pham, Nga Nhu Le, Tu Trong To, Nam Thang Ha
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 777 (2020)
Remote Sensing; Volume 12; Issue 5; Pages: 777
Remote Sensing; Volume 12; Issue 5; Pages: 777
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::eeb473f35bbf7cac3811bffad38bded5
https://www.mdpi.com/2072-4292/12/5/777
https://www.mdpi.com/2072-4292/12/5/777