UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam
Classifying and evaluating the structure of tropical forest plant biomes based on up-to-date remote sensing data, remains a great challenge due to the species diversity, changes in the stages of seasonal growth. Remote sensing has long been a useful tool for classification and assessment of vegetati...
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doaj-8ad26c2446524b8ba48b6b265e88f0f32021-04-02T13:10:42ZengEDP SciencesE3S Web of Conferences2267-12422020-01-012030300610.1051/e3sconf/202020303006e3sconf_ebwff2020_03006UAV application for assessing rainforest structure in Ngoc Linh nature reserve, VietnamNgo Dung0Nguyen Hoi1Dang CuongKolesnikov Sergey2Institute of Tropical Ecology, Vietnam-Russian Tropical CentreInstitute of Tropical Ecology, Vietnam-Russian Tropical CentreAcademy of Biology and Biotechnologies, Southern Federal UniversityClassifying and evaluating the structure of tropical forest plant biomes based on up-to-date remote sensing data, remains a great challenge due to the species diversity, changes in the stages of seasonal growth. Remote sensing has long been a useful tool for classification and assessment of vegetation. For data from unmanned aerial vehicles (UAVs), the ability to receive high-resolution data also partly solves this problem. The development of vegetation based on natural conditions includes: topographic, geomorphology, geologic conditions, climate, human impacts. Based on the red-green-blue colour model (RGB) obtained from UAV, analysis of VARI (visible atmospherically resistant Index) and TGI (triangulation greenness index), combined with the development characteristics of each group and type of biomes on different topography and geologic types, the researchers were able to give some characteristics of some tropical forest vegetation in Ngoc Linh Nature Reserve, Kon Tum province, Vietnam.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/63/e3sconf_ebwff2020_03006.pdf |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ngo Dung Nguyen Hoi Dang Cuong Kolesnikov Sergey |
spellingShingle |
Ngo Dung Nguyen Hoi Dang Cuong Kolesnikov Sergey UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam E3S Web of Conferences |
author_facet |
Ngo Dung Nguyen Hoi Dang Cuong Kolesnikov Sergey |
author_sort |
Ngo Dung |
title |
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam |
title_short |
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam |
title_full |
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam |
title_fullStr |
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam |
title_full_unstemmed |
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam |
title_sort |
uav application for assessing rainforest structure in ngoc linh nature reserve, vietnam |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
Classifying and evaluating the structure of tropical forest plant biomes based on up-to-date remote sensing data, remains a great challenge due to the species diversity, changes in the stages of seasonal growth. Remote sensing has long been a useful tool for classification and assessment of vegetation. For data from unmanned aerial vehicles (UAVs), the ability to receive high-resolution data also partly solves this problem. The development of vegetation based on natural conditions includes: topographic, geomorphology, geologic conditions, climate, human impacts. Based on the red-green-blue colour model (RGB) obtained from UAV, analysis of VARI (visible atmospherically resistant Index) and TGI (triangulation greenness index), combined with the development characteristics of each group and type of biomes on different topography and geologic types, the researchers were able to give some characteristics of some tropical forest vegetation in Ngoc Linh Nature Reserve, Kon Tum province, Vietnam. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/63/e3sconf_ebwff2020_03006.pdf |
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