[HTML][HTML] Map** Mountain landforms and its dynamics: study cases in tropical environments

N Campos, A Quesada-Román, S Granados-Bolaños - Applied Sciences, 2022‏ - mdpi.com
High mountain areas are critical for water security and natural hazard dynamics, as well as
glacier and ecosystem conservation in a warming world. We present a brief account of the …

[HTML][HTML] Assessing Land Cover Classification Accuracy: Variations in Dataset Combinations and Deep Learning Models

WD Sim, JS Yim, JS Lee - Remote Sensing, 2024‏ - mdpi.com
This study evaluates land cover classification accuracy through adjustments to the deep
learning model (DLM) training process, including variations in loss function, the learning rate …

The smokescreen of Russian protected areas

RC Gatti, A Velichevskaya, A Dudko, L Fabbio… - Science of the total …, 2021‏ - Elsevier
Russian forests preserve biodiversity, host endemic species, store carbon, and are inhabited
by indigenous people. However, in the last years, large areas of these forests have been …

[PDF][PDF] Assessment of New Techniques for Measuring Volume in Large Wood Chip Piles

M Gejdoš, J Výbošťok, J Chudá, D Tomčík… - Forests, 2024‏ - researchgate.net
Our work aimed to compare the chip pile volumes calculated by laser ground scanning, UAV
technology, and laser ground measurement and also to determine the accuracy, speed, and …

Forest management research using optical sensors and remote sensing technologies

E Kim, M Won, K Kim, J Park, JS Lee - Korean Journal of Remote …, 2019‏ - koreascience.kr
Nowadays, the utilization infrastructure of domestic satellite information is expanding rapidly.
Especially, the development of agriculture and forestry satellite is expected to drastically …

A study on obtaining tree data from green spaces in parks using unmanned aerial vehicle images: Focusing on Mureung park in Chuncheon

DH Lee, SH Kil, SB Lee - Journal of People, Plants, and Environment, 2021‏ - jppe.ppe.or.kr
Background and objective: The purpose of study is to analyze the three-dimensional (3D)
structure by creating a 3D model for green spaces in a park using unmanned aerial vehicle …

Accuracy Assessment of Forest Degradation Detection in Semantic Segmentation based Deep Learning Models with Time-series Satellite Imagery

WD Sim, JS Lee - Journal of forest and environmental science, 2024‏ - koreascience.kr
This research aimed to assess the possibility of detecting forest degradation using time-
series satellite imagery and three different deep learning-based change detection …

[HTML][HTML] An Analysis of Surface Temperature Changes for Urban Green Space using Unmanned Aerial Vehicles

SB Lee, SH Kil, YJ Yun, Y Choi - Journal of People, Plants, and …, 2022‏ - jppe.ppe.or.kr
Background and objective: The urban heat island (UHI) effect is recognized as a
representative environmental problem that occurs in cities in summer. This study aimed to …

[HTML][HTML] An Analysis of Surface Temperature Changes for Urban Green Space using Unmanned Aerial Vehicles

KSH LeeSu-Been, CY YunYoung-Jo‏ - jppe.ppe.or.kr
Methods: In this study, ST data of UGSs were established and acquired through UAV flight
and filming, and orthoimages of such data were produced using the Pix4D program. In …

A Comparative Case Study on Sampling Methods for Cost-Effective Forest Inventory: Focused on Random, Systematic and Line Sampling

J Park, S Cho, D Kim, G Jung, B Kim… - Journal of Korean Society …, 2020‏ - koreascience.kr
The purpose of this study was to propose the most cost-effective sampling method, by
analyzing the cost of forest resource investigation per sampling method for the planned …