E3S Web Conf.
Volume 203, 2020Ecological and Biological Well-Being of Flora and Fauna (EBWFF-2020)
|Number of page(s)||14|
|Section||Protection and Use of Natural Resources|
|Published online||05 November 2020|
UAV application for assessing rainforest structure in Ngoc Linh nature reserve, Vietnam
1 Institute of Tropical Ecology, Vietnam-Russian Tropical Centre, 63 Nguyen Van Huyen Str., Hanoi, Vietnam.
2 Academy of Biology and Biotechnologies, Southern Federal University, 194/1 Stachki prospekt, Rostov-on-Don, Russia.
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.