Results 21 to 30 of about 21,023 (158)
Influence of canopy height model methodology on determining abandoned agricultural areas [PDF]
Engineering for Rural Development, 2018 Determining areas affected by forest succession is one of the main tasks aimed at shaping rural areas. Effective determination of the parameters of the dynamics of forest succession in areas used for agriculture is the basis for understanding the phenomenon of land cultivation abandonment.
Piotr Bożek +2 more
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Remote Sensing, 2021 Forest canopy height is a basic metric characterizing forest growth and carbon sink capacity. Based on full-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR) data, this study used Polarimetric ...
Wei Chen +4 more
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Remote Sensing, 2018 Several decades of research have shown that canopy gaps drive tree renewal processes in the temperate deciduous forest biome. In the literature, canopy gaps are usually defined as canopy openings that are created by partial or total tree death of one or ...
Jean-Francois Senécal +2 more
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International Journal of Applied Earth Observations and Geoinformation, 2022 Remote sensing offers many advantages to supplement traditional, ground-based forest measurements, such as limiting time in the field and fast spatial coverage.
Alison L. Ritz +11 more
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ISPRS International Journal of Geo-Information, 2019 Forest canopy height plays an important role in forest management and ecosystem modeling. There are a variety of techniques employed to map forest height using remote sensing data but it is still necessary to explore the use of new data and methods.
Mingbo Liu +3 more
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Remote Sensing, 2020 Forest canopy height is an indispensable forest vertical structure parameter for understanding the carbon cycle and forest ecosystem services. A variety of studies based on spaceborne Lidar, such as ICESat, ICESat-2 and airborne Lidar, were conducted to ...
Xiaojuan Lin +6 more
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Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry [PDF]
Remote Sensing, 2020 Forest canopy height is one of the most important spatial characteristics for forest resource inventories and forest ecosystem modeling. Light detection and ranging (LiDAR) can be used to accurately detect canopy surface and terrain information from the backscattering signals of laser pulses, while photogrammetry tends to accurately depict the canopy ...
Qingwang Liu +9 more
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Methods in Ecology and Evolution, 2023 Vegetation canopy height is a relevant proxy for aboveground biomass, carbon stock, and biodiversity. Wall‐to‐wall information of canopy height with high spatial resolution and accuracy is not yet available on large scales.
Michael Schlund +4 more
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Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances
Remote Sensing, 2019 Forest-canopy height is an important parameter for the estimation of forest biomass and terrestrial carbon flux and climate-change research at regional and global scales.
Lei Cui +9 more
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Image to Image Deep Learning for Enhanced Vegetation Height Modeling in Texas
Remote Sensing, 2023 Vegetation canopy height mapping is vital for forest monitoring. However, the high cost and inefficiency of manual tree measurements, coupled with the irregular and limited local-scale acquisition of airborne LiDAR data, continue to impede its widespread
Lonesome Malambo, Sorin Popescu
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