[HTML][HTML] Susceptibility of deforestation hotspots in Terai-Dooars belt of Himalayan Foothills: A comparative analysis of VIKOR and TOPSIS models

B Bera, PK Shit, N Sengupta, S Saha… - Journal of King Saud …, 2022 - Elsevier
Abstract Once, the entire Terai-Dooars region of Himalayan Foothills was enveloped by the
tropical and subtropical moist deciduous and broadleaf forest. Multiple anthropogenic …

Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River …

S Saha, M Saha, K Mukherjee, A Arabameri… - Science of the Total …, 2020 - Elsevier
Rapid population growth and its corresponding effects like the expansion of human
settlement, increasing agricultural land, and industry lead to the loss of forest area in most …

[HTML][HTML] Forest cover dynamics (1998 to 2019) and prediction of deforestation probability using binary logistic regression (BLR) model of Silabati watershed, India

B Bera, S Saha, S Bhattacharjee - Trees, Forests and People, 2020 - Elsevier
Forest is a renewable resource and an imperative part of the total environment. But in the
last few decades, forest areas are being highly converted and depleted due to excessive …

[PDF][PDF] Integration of GIS and remote sensing for evaluating forest canopy density index in Thai Nguyen Province, Vietnam

DT Loi, TY Chou, YM Fang - International journal of environmental …, 2017 - researchgate.net
Forests are an indispensable part of the natural environment and play a critical role in
sustainable development. However, natural forests are being destroyed every year by …

[HTML][HTML] Land use/land cover and forest canopy density monitoring of Wafi-Golpu project area, Papua New Guinea

S Akike, S Samanta - Journal of Geoscience and Environment …, 2016 - scirp.org
This study aims to examine the use of Remote Sensing and Geographical Information
System (GIS) technology in land use/land cover mapping to aide sustainable planning and …

Automatic detection of single trees in airborne laser scanning data through gradient orientation clustering

T Dong, Q Zhou, S Gao, Y Shen - Forests, 2018 - mdpi.com
Currently, existing methods for single-tree detection based on airborne laser scanning (ALS)
data usually require some thresholds and parameters to be set manually. Manually setting …

Perbandingan Metode Soil Adjusted Vegetation Index (SAVI) dan Forest Canopy Density (FCD) untuk Identifikasi Tutupan Vegetasi (Kasus; Area Pembuatan Jalan …

ASA Nugraha, IPA Citra - Jurnal Geografi: Media Informasi …, 2021 - journal.unnes.ac.id
Penelitian ini menggunakan citra Landsat 8 OLI/TIRS yang bertujuan untuk mengetahui
tingkat akurasi dari metode SAVI dan model FCD dalam identifikasi tutupan vegetasi. Hal itu …

Estimation of forest canopy density through Geospatial Technology—a case study on Sathyamangalam Forest, Erode District, Tamil Nadu

G Namasivayam, S Ramamoorthy - Environmental Monitoring and …, 2024 - Springer
The term forest canopy density (FCD) refers to one of the important criteria used to evaluate
forest's ecological health. It plays a significant role in assessing the health of the forest and …

LANDSCAPE DIVERSITY OF THE TERRITORY OF THE TOBOL RIVER BASIN WITHIN THE KOSTANAY REGION

Ж Озгелдинова, А Бектемирова… - Вестник КазНУ …, 2022 - bulletin-geography.kaznu.kz
The relevance of the study of landscape diversity has become one of the current directions
of modern geographical research, allowing to obtain new scientific and practical results in …

Thermal index effect in forest canopy density (FCD) methods based on remote sensing imagery

ASA Nugraha, WDW Kurniawan - … Science Symposium 2023 …, 2024 - spiedigitallibrary.org
The objective of this study is to identify variations in the level of accuracy of the Forest
Canopy Density (FCD) method's utilization of thermal index (TI). This is significant because …