Results 31 to 40 of about 1,205,740 (288)
Geo-Spatial Information Science, 2023 Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest growth. Gao Fen-7 (GF-7) Satellite is China’s first sub-meter-level three-dimensional (3D) mapping satellite for civilian use, which was equipped with a
Liming Du +6 more
semanticscholar +1 more source
Remote Sensing, 2022 Continuous large-scale mapping of forest canopy height is crucial for estimating and reporting forest carbon content, analyzing forest degradation and restoration, or to model ecosystem variables such as aboveground biomass.
Camile Sothe +4 more
semanticscholar +1 more source
Remote Sensing, 2021 Global Ecosystem Dynamics Investigation (GEDI) satellite mission is expanding the spatial bounds and temporal resolution of large-scale mapping applications.
Iván Dorado-Roda +7 more
semanticscholar +1 more source
Maximum height of mountain forests abruptly decreases above an elevation breakpoint
GIScience & Remote Sensing, 2021 Canopy height is an excellent indicator of forest productivity, biodiversity and other ecosystem functions. Yet, we know little about how elevation drives canopy height in mountain areas.
Aitor Ameztegui +4 more
doaj +1 more source
Mapping global forest canopy height through integration of GEDI and Landsat data
, 2020 Consistent, large-scale operational monitoring of forest height is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives.
P. Potapov +13 more
semanticscholar +1 more source
Remote Sensing, 2022 LiDAR technology has been widely used to characterize structural parameters of forest ecosystems, which in turn are valuable information for forest monitoring.
Kamel Lahssini +3 more
semanticscholar +1 more source
Impact of height heterogeneity on canopy turbulence [PDF]
Journal of Fluid Mechanics, 2017 The flow development above and within homogeneous and heterogeneous canopies was experimentally studied using particle image velocimetry in a refractive-index-matching channel. The experiments were designed to gain insight into the effect of height heterogeneity on the structure and spatial distribution of the turbulence.
Hamed, A. M. +3 more
openaire +4 more sources
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
doaj +1 more source
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
doaj +1 more source
ICESat-2 data classification and estimation of terrain height and canopy height
International Journal of Applied Earth Observation and Geoinformation, 2023 ICESat-2 (Ice, Cloud, and Land Elevation Satellite-2) was launched in 2018 with a photon-counting LiDAR (Light Detection and Ranging) system, ATLAS (Advanced Topographic Laser Altimeter System). It is collecting massive earth elevation data all over the world, which has shown the potential of large-scale forest monitoring.
Li He +4 more
openaire +2 more sources