Search Results - "Biomass estimation"

基于多光谱与单木结构特征的露天矿山 修复区云杉 AGB 估算.

Alternate Title: Estimation of single wood AGB in open pit mine rehabilitation area based on fusion of UAV multispectral and structural features.

Authors: 张世文 汤关清 王鑫宇 et al.

Source: Coal Science & Technology (0253-2336). May2026, Vol. 54 Issue 5, p453-464. 12p.

Subject Terms: *Biomass estimation, *Multisensor data fusion, *Remote sensing, *Genetic algorithms, *Abandoned mined lands reclamation, *Machine learning

Robust Hyperspectral Estimation of Winter Wheat Aboveground Dry Biomass Using CARS-UVE Band Selection and Transfer-Oriented Validation.

Authors: Zhu, Shiyou Chen, Yulong Wang, Yian et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1997. 23p.

Subjects: Biomass estimation, Model validation, Support vector machines, Winter wheat, Partial least squares regression, Dry matter content of plants, Spectral reflectance

Remote Sensing-Based Biomass Assessment of Hedysarum coronarium from Multispectral UAV Imagery in a Mediterranean Pasture.

Authors: Furnitto, Nicola Failla, Sabina I. G. Sottosanti, Giuseppe et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1594. 20p.

Subjects: Biomass estimation, Remote sensing, Range management, Grasslands, Normalized difference vegetation index

Geographic Terms: Southern Europe, Italy, Sicily (Italy)

Estimating Aboveground Biomass of Oilseed Rape by Fusing Point Cloud Voxelization and Vegetation Indices Derived from UAV RGB Imagery.

Authors: Bai, Bingyu Chen, Tianci Mo, Yanxi et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1323. 20p.

Subjects: Biomass estimation, Remote sensing, Rapeseed, Precision farming, Plant biomass, Agricultural remote sensing, Plant indicators

Estimation of Seaweed Biomass in Shallow Coastal Waters Using UAV Bathymetric LiDAR and Automated 3D Point Cloud Segmentation.

Authors: Sugawara, Yoshihiro¹ (AUTHOR)

Source: Sensors (14248220). Jun2026, Vol. 26 Issue 12, p3945. 25p.

Estimation of Winter Wheat Aboveground Biomass Across Multiple Growth Stages Using UAV Multispectral and RGB Imagery: Feature Selection and Fusion Approaches.

Authors: Yue, Zihan Zhou, Lin Shu, Chenhui et al.

Source: Agronomy. Jun2026, Vol. 16 Issue 12, p1167. 29p.

Estimating Tree-Level Stem Volume and Biomass Using Handheld LiDAR: Impact of Tree Height Uncertainty in a Mature Sitka Spruce Plantation.

Authors: Dowd, Luke Tobin, Brian

Source: Forests (19994907). Jun2026, Vol. 17 Issue 6, p680. 21p.

A terrestrial laser scanning‐based workflow for component‐wise estimation of individual tree above‐ground biomass.

Authors: Dong, Qi Hu, Tianyu Wu, Xiaoyong et al.

Source: Methods in Ecology & Evolution. Jun2026, Vol. 17 Issue 6, p1938-1949. 12p.

江西省杉木林碳储量模型研建.

Alternate Title: Stand-level model construction for carbon stock of Cunninghamia lanceolata forest in Jiangxi Province.

Authors: 毛旭鹏 田立新 陆 禹 et al.

Source: Journal of Central South University of Forestry & Technology. Jun2026, Vol. 46 Issue 5, p48-58. 11p.

Trembling aspen biomass equations and carbon estimations for southern Saskatchewan copses.

Authors: Schwitzer, Meliah D. Cline, Andrea Akter, Runa et al.

Source: Canadian Journal of Forest Research. 5/21/2026, Vol. 56, p1-9. 9p.

Automated High-Frequency RGB Imaging for Biomass Estimation in Hydroponics.

Authors: Grigas, Andrius Krilavičius, Tomas Zaranka, Eimantas et al.

Source: Agronomy. May2026, Vol. 16 Issue 10, p963. 19p.

Stratified AGB inversion driven by DGTHI: quantifying topographic controls on biomass prediction across tree species.

Authors: Zhu, Yihan Chen, Jiangping Yin, Jianhua et al.

Source: Urban Informatics. 5/6/2026, Vol. 5 Issue 1, p1-23. 23p.

Measurement-Driven Estimates of Above-Ground Biomass Change in the Eastern Canadian Boreal Forests from Permanent Sample Plots and Landsat Time Series.

Authors: Mahmoudi Meimand, Hadi Chen, Jiaxin Kneeshaw, Daniel et al.

Source: Forests (19994907). May2026, Vol. 17 Issue 5, p575. 36p.

Allometric Equations for Estimating Crown Fuel Biomass of Pinus densiflora in South Korea.

Authors: Song, Jae-hak Jang, Mi-na Lee, Byung-doo et al.

Source: Forests (19994907). May2026, Vol. 17 Issue 5, p549. 15p.

Estimating Forest Aboveground Biomass at the Stand Scale Using Voxel-Based 3D Canopy Structures from Airborne LiDAR.

Authors: Zhou, Lv Ji, Biyong Xie, Binglou et al.

Source: Forests (19994907). May2026, Vol. 17 Issue 5, p537. 17p.

Integrating Pigeon-Inspired Optimization and Support Vector Machines for Forest Aboveground Biomass Estimation.

Authors: Kang, Xiaomeng Wang, Ling Chang, Chunyan et al.

Source: Forests (19994907). May2026, Vol. 17 Issue 5, p524. 19p.

Commercial biomass quantification of Ilex paraguariensis A.St.-Hil. grown in the understory of a Pinus elliottii Engelm plantation.

Alternate Title: Quantificação de biomassa comercial de Ilex paraguariensis A.St.-Hil. Implantadas no sub-bosque de um plantio de Pinus elliottii Engelm.

Authors: Wolff, Leandro de Oliveira Stepka, Thiago Floriani Borsoi, Geedre Adriano et al.

Source: Ciência Rural. 2026, Vol. 56 Issue 5, p1-9. 9p.

Accurate Regional Above-Ground Biomass Mapping: Canopy Height-Constrained Upscaling from In Situ to Satellite Data.

Authors: Guo, Qiyu Jiang, Jinbao Qiao, Xiaojun et al.

Source: Remote Sensing. Apr2026, Vol. 18 Issue 8, p1170. 26p.

Subjects: Biomass estimation, Forest biomass, Remote sensing, Kriging, Tree height, Spatial analysis (Statistics), Data integration

Geographic Terms: Liaoning Sheng (China), China

Differentiable Physical Modeling for Forest Above-Ground Biomass Retrieval by Unifying a Water Cloud Model and Deep Learning.

Authors: Zhao, Cui Shi, Rui Ji, Yongjie et al.

Source: Remote Sensing. Mar2026, Vol. 18 Issue 6, p912. 30p.

Subjects: Forest biomass, Biomass estimation, Deep learning, Remote sensing, Synthetic aperture radar, Artificial neural networks

Evaluating Disturbance Regime Stratification for Aboveground Biomass Estimation in a Heterogeneous Forest Landscape: Insights from the Atewa Landscape, Ghana.

Authors: Adams, Lukman B. Hayakawa, Yuichi S.

Source: Remote Sensing. Mar2026, Vol. 18 Issue 5, p765. 23p.

Subjects: Biomass estimation, Ecological disturbances, Remote sensing, Forest biodiversity, Machine learning, Forests & forestry, Anthropogenic effects on nature

Geographic Terms: Ghana