Results 1 to 10 of about 232,267 (259)

Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods

open access: yesRemote Sensing, 2022
Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas, but it is still a challenge to obtain spatio-continuous forest canopy heights with this technology.
Zhilong Xi   +5 more
doaj   +1 more source

Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India

open access: yesRemote Sensing, 2022
Forest canopy height estimates, at a regional scale, help understand the forest carbon storage, ecosystem processes, the development of forest management and the restoration policies to mitigate global climate change, etc.
Sujit M. Ghosh   +10 more
doaj   +1 more source

ESTIMATING TREE CANOPY HEIGHT IN DENSELY FOREST-COVERED MOUNTAINOUS AREAS USING GEDI SPACEBORNE FULL-WAVEFORM DATA [PDF]

open access: yesISPRS 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

Improving GEDI Forest Canopy Height Products by Considering the Stand Age Factor Derived from Time-Series Remote Sensing Images: A Case Study in Fujian, China

open access: yesRemote Sensing, 2023
Forest canopy height plays an important role in forest resource management and conservation. The accurate estimation of forest canopy height on a large scale is important for forest carbon stock, biodiversity, and the carbon cycle. With the technological
Xiaocheng Zhou   +7 more
doaj   +1 more source

Spatio-temporal change detection of forest canopy cover density in the Golestan National Park, Iran [PDF]

open access: yesEnvironmental Resources Research, 2021
In this study, spatio-temporal forest canopy cover density changes in the Golestan National Park (Iran) were assessed from 1967 to 2016 using aerial photos and satellite images in a Geographical Information Systems environment.
Mohsen Mosatfa   +2 more
doaj   +1 more source

Forest structure dependency analysis of L-band SAR backscatter [PDF]

open access: yesPeerJ, 2020
Forest structure plays an important role in forest biomass inversion using synthetic aperture radar (SAR) backscatter. Synthetic aperture radar (SAR) sensors with long-wavelength have the potentiality to provide reliable and timely forest biomass ...
Yongjie Ji   +4 more
doaj   +2 more sources

ForestTemp – Sub‐canopy microclimate temperatures of European forests [PDF]

open access: yesGlobal Change Biology, 2021
AbstractEcological research heavily relies on coarse‐gridded climate data based on standardized temperature measurements recorded at 2 m height in open landscapes. However, many organisms experience environmental conditions that differ substantially from those captured by these macroclimatic (i.e. free air) temperature grids.
Haesen, Stef   +51 more
openaire   +9 more sources

Characterization of Canopy Layering in Forested Ecosystems Using Full Waveform Lidar

open access: yesRemote Sensing, 2013
Canopy structure, the vertical distribution of canopy material, is an important element of forest ecosystem dynamics and habitat preference. Although vertical stratification, or “canopy layering,” is a basic characterization of canopy structure for ...
Ralph Dubayah   +4 more
doaj   +1 more source

SPECTRAL CHARACTERIZATION OF A CLOSED CANOPY AND OPEN CANOPY FOREST IN NORTHERN SIERRA MADRE NATURAL PARK [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Forest lands play crucial roles in nutrient recycling and climate regulation. The change of closed canopy forests to open canopy forests may indicate disturbance within the closed canopy forest.
C. Vidad   +8 more
doaj   +1 more source

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