Development of forest aboveground biomass estimation, its problems and future solutions: A review
T Ma, C Zhang, L Ji, Z Zuo, M Beckline, Y Hu, X Li… - Ecological …, 2024 - Elsevier
Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using …
The classification of tree species can significantly benefit from high spatial and spectral
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …
information acquired by unmanned aerial vehicles (UAVs) associated with advanced …
Assessment of land-use dynamics of the Aravalli range (India) using integrated geospatial and CART approach
World's oldest Aravalli range provides various ecosystem services that are continually
vulnerable due to human-induced intervention. Urgently, it needs to be addressed the study …
vulnerable due to human-induced intervention. Urgently, it needs to be addressed the study …
High-precision stand age data facilitate the estimation of rubber plantation biomass: A case study of Hainan Island, China
Rubber (Hevea brasiliensis Muell.) plantations constitute one of the most important agro-
ecosystems in the tropical region of China and Southeast Asia, playing an important role in …
ecosystems in the tropical region of China and Southeast Asia, playing an important role in …
Assessing the spectral information of Sentinel-1 and Sentinel-2 Satellites for above-ground biomass retrieval of a tropical forest
D Stratoulias, N Nuthammachot, T Suepa… - … International Journal of …, 2022 - mdpi.com
Earth Observation (EO) spectral indices have been an important tool for quantifying and
monitoring forest biomass. Nevertheless, the selection of the bands and their combination is …
monitoring forest biomass. Nevertheless, the selection of the bands and their combination is …
Estimating the girth distribution of rubber trees using support and relevance vector machines
Within the context of agricultural planning, spatial data have played a crucial role, replacing
conventional tabular-based data. Plantation, one of the key agricultural commodities, has …
conventional tabular-based data. Plantation, one of the key agricultural commodities, has …
Understanding deforestation in the tropics: post-classification detection using machine learning and probing its driving forces in Katingan, Indonesia
Ramdhani, BH Trisasongko, Widiatmaka - Asia-Pacific Journal of Regional …, 2024 - Springer
Increasing demands for agricultural lands and built-up areas, driven by rapid population
growth in developing countries including Indonesia, exacerbates the strain on tropical …
growth in developing countries including Indonesia, exacerbates the strain on tropical …
Rural land cover mapping using short-term Sentinel-2 temporal composites and machine learning
Multispectral sensors have been invaluable for land cover mapping. Nonetheless, cloud
cover is frequent in many parts in the tropics, meaning that relying on single-date …
cover is frequent in many parts in the tropics, meaning that relying on single-date …
Fully polarimetric L-band synthetic aperture radar for the estimation of tree girth as a representative of stand productivity in rubber plantations
This article explores a potential exploitation of fully polarimetric radar data for the
management of rubber plantations, specifically for predicting tree circumference as a crucial …
management of rubber plantations, specifically for predicting tree circumference as a crucial …
Estimating stem volume of Eucalyptus sp. and Pinus sp. plantations in Brazil, using Sentinel-1B and ALOS-2/PALSAR-2 data
JMF de Souza Diniz, FF Gama… - Journal of Applied …, 2023 - spiedigitallibrary.org
Multifrequency synthetic aperture radar (SAR) data have been applied to discriminate subtle
differences in the vegetation and to better characterize its structural properties, since each …
differences in the vegetation and to better characterize its structural properties, since each …