Results 61 to 70 of about 21,023 (158)

Generating Pit-free Canopy Height Models from Airborne Lidar

Photogrammetric Engineering & Remote Sensing, 2014
Canopy height models (CHMs) derived from lidar data have been applied to extract forest inventory parameters. However, variations in modeled height cause data pits, which form a challenging problem as they disrupt CHM smoothness, negatively affecting tree detection and subsequent biophysical measurements.
Khosravipour, A., Skidmore, A.K., Isenburg, Martin, Wang, Tiejun, Hussin, Y.A.   +4 more
openaire   +1 more source

Canopy height corrections by a geometric-optical and radiative-transfer model for ICESat-2 photon data in needleleaf forests

International Journal of Applied Earth Observations and Geoinformation
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) photon-counting lidar provides abundant canopy height estimates for assessing forest structure and carbon stocks.
Qianyin Zhang, Hui Zhou, Yue Ma, Heng Wang, Jian Yang, Pufan Zhao, Song Li   +6 more
doaj   +1 more source

Supporting fire behavior modelling with canopy base height and canopy bulk density estimates using airborne and spaceborne lidar

Ecological Informatics
Public link for the readers to find all the material (data, codes) pertaining to the study "Supporting fire behavior modeling with canopy base height and canopy bulk density estimates using airborne and spaceborne lidar " 01_data.zip ALS .laz data. The corrected positions for GEDI footprints were used to clip the ALS 12.5-m buffer radius to compute ...
Pascual, Adrián, Gonzalez-Ferreiro, Eduardo, Botequim, Brigite, Guerra Hernández, Juan   +3 more
openaire   +2 more sources

Mapping of urban forest canopy height through diffusion-enhanced deep learning by using sentinel-2 and urban geospatial data

International Journal of Digital Earth
Urban canopy height is a key indicator for assessing urban ecosystem services and ecological functions. However, the fragmentation and heterogeneity of urban forests pose challenges to the deep learning methods that perform well in large-scale forest ...
Nuo Xu, Yanqi Dong, Jiali Zi, Yi Xia, Fu Xu, Chao Mou, Feixiang Chen   +6 more
doaj   +1 more source

Evaluating ICESat-2 and GEDI with Integrated Landsat-8 and PALSAR-2 for Mapping Tropical Forest Canopy Height

Remote Sensing
Mapping forest canopy height is critical for climate modeling and forest management, and tropical forests present unique challenges for remote sensing due to their dense vegetation and complex structure.
Aobo Liu, Yating Chen, Xiao Cheng
doaj   +1 more source

Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Urban forest canopy height is an important indicator for urban carbon storage, vegetation ecosystems services, and devising effective forest management strategies to combat global climate change.
Kun Xiao, Xiaoyang Zhao, Ying Ding, Chen Huang, Jueyu Lin, Yuxuan Mai, Ying Sun, Qinchuan Xin   +7 more
doaj   +1 more source

Evaluation of Global and High-Resolution Canopy Height Models for Forest Monitoring and Disturbance Detection: From GEDI Footprint to Deep Learning High-Resolution Mapping

Remote Sensing
Accurate mapping of forest canopy height is fundamental to modern forestry, providing essential structural data for biomass estimation and monitoring forest health.
Stanislav Herber, Tomáš Mikita, Zdeněk Patočka, Nikola Žižlavská   +3 more
doaj   +1 more source

Assessing the Accuracy of Global Canopy Height Models: A Comprehensive Review

Bosque (Valdivia)
Accurate measurements of canopy heights play a pivotal role in estimating vegetation biomass. The Advanced Topographic Laser Altimeter System (ATLAS), and the Global Ecosystem Dynamics Investigation (GEDI) have significantly improved LiDAR capability for three-dimensional mapping.
openaire   +3 more sources

Estimation of forest canopy height from GEDI L1B data using an improved composite Gaussian model for optimized waveform decomposition

Geo-spatial Information Science
Spaceborne LiDAR is essential for accurate forest canopy height measurement, which is crucial for assessing forest biomass and carbon storage. Since its launch in 2018, the Global Ecosystem Dynamics Investigation (GEDI) has been focused on estimating ...
Binbin Wang, Hua Sun, Song Chen, Yitao Tang, Ming Chen, Yi Long, Jing Yi   +6 more
doaj   +1 more source

Temporal GWAS and QTL mapping of UAV-derived digital canopy height reveals stage-specific genetic effects in bread wheat. [PDF]

Plant Phenomics
Fania F, Spadanuda P, Puglisi D, Angione G, Colella I, Pecorella I, Esposito S, De Vita P.   +7 more
europepmc   +1 more source