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Canopy height model and NAIP imagery pairs across CONUS [PDF]
Scientific DataCanopy height models (CHM) provide detailed environmental vertical structure information and are an important indicator and input for ecological and geospatial applications.
Brady W. Allred +2 more
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Remote Sensing, 2022 Forest canopy height model (CHM) is useful for analyzing forest stocking and its spatiotemporal variations. However, high-resolution CHM with regional coverage is commonly unavailable due to the high cost of LiDAR data acquisition and computational cost ...
Sungchan Oh +5 more
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International Journal of Digital EarthThe discrepancies in data across different phases and the unexplored optimal spatial resolution present challenges when using multi-temporal canopy height models to accurately discern actual forest growth.
Zhexiu Yu +3 more
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ESTIMATING TREE CANOPY HEIGHT IN DENSELY FOREST-COVERED MOUNTAINOUS AREAS USING GEDI SPACEBORNE FULL-WAVEFORM DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Tree canopy height is an important parameter for estimating forest carbon stock, and mountainous areas with dense vegetation cover are the main distribution areas of trees, so it is important to accurately measure the forest canopy height in mountainous ...
C. Liu, S. Wang
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A Framework for Improving Wall-to-Wall Canopy Height Mapping by Integrating GEDI LiDAR
Remote Sensing, 2022 Spatially continuous canopy height is a vital input for modeling forest structures and functioning. The global ecosystem dynamics investigation (GEDI) waveform can penetrate a canopy to precisely find the ground and measure canopy height, but it is ...
Cangjiao Wang +8 more
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Modeling tree canopy height using machine learning over mixed vegetation landscapes
International Journal of Applied Earth Observations and Geoinformation, 2021 Although the random forest algorithm has been widely applied to remotely sensed data to predict characteristics of forests, such as tree canopy height, the effect of spatial non-stationarity in the modeling process is oftentimes neglected.
Hui Wang +4 more
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Large-eddy simulations of surface roughness parameter sensitivity to canopy-structure characteristics [PDF]
Biogeosciences, 2015 Surface roughness parameters, namely the roughness length and displacement height, are an integral input used to model surface fluxes. However, most models assume these parameters to be a fixed property of plant functional type and disregard the ...
K. D. Maurer +3 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 The forest canopy height is a key indicator for measuring global forest carbon stocks. Spaceborne LiDAR, a satellite remote sensing technology, plays an essential role in large-scale canopy height estimations.
Shufan Wang +4 more
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Remote Sensing, 2020 Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations of canopy height are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data.
Sujit Madhab Ghosh +2 more
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AIRBORNE X-HH INCIDENCE ANGLE IMPACT ON CANOPY HEIGHT RETREIVAL: IMPLICATIONS FOR SPACEBORNE X-HH TANDEM-X GLOBAL CANOPY HEIGHT MODEL [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 To support international climate change mitigation efforts, the United Nations REDD+ initiative (Reducing Emissions from Deforestation and Degradation) seeks to reduce land use induced greenhouse gas emissions to the atmosphere. It requires independent
M. L. Tighe +4 more
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