Results 41 to 50 of about 183,096 (290)

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

Model versus nature: Hydrodynamics in mangrove pneumatophores [PDF]

open access: yes, 2016
Water flows through submerged and emergent vegetation control the transport and deposition of sediment in coastal wetlands. Many past studies into the hydrodynamics of vegetation fields have used idealized vegetation mimics, mostly rigid dowels of ...
Bryan, Karin R.   +3 more
core   +1 more source

Regional scale rain-forest height mapping using regression-kriging of spaceborne and airborne lidar data : application on French Guiana [PDF]

open access: yes, 2016
LiDAR data has been successfully used to estimate forest parameters such as canopy heights and biomass. Major limitation of LiDAR systems (airborne and spaceborne) arises from their limited spatial coverage.
Baghdadi, N.   +8 more
core   +6 more sources

Correction of Terrain Effects on Forest Canopy Height Estimation Using ICESat-2 and High Spatial Resolution Images

open access: yesRemote Sensing, 2022
The Ice, Cloud, and Land Elevation Satellite–2 (ICESat–2) carries the Advanced Topographic Laser Altimeter System (ATLAS), enabling global canopy height measurements from forest canopy height models (CHMs). Topographic slope is a crucial factor affecting
Bin Li   +6 more
doaj   +1 more source

Estimating Canopy Height at Scale

open access: yesCoRR
ICML Camera-Ready, 17 pages, 14 figures, 7 ...
Jan Pauls   +8 more
openaire   +4 more sources

Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances

open access: yesRemote 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
doaj   +1 more source

Attraction of Acorn-Infesting \u3ci\u3eCydia Latiferreana\u3c/i\u3e (Lepidoptera: Tortricidae) to Pheromone-Baited Traps [PDF]

open access: yes, 2017
Males of acorn-infesting Cydia latiferreana are attracted to an equilibrium mixture of the four isomers of 8, 10-dodecadien-l-ol acetate, the virgin female-produced pheromone. Trap height relative to the height of trees in which traps are placed seems to
Galford, J. R   +2 more
core   +2 more sources

Deep learning-driven forest canopy height mapping in boreal regions through multi-source remote sensing fusion: Integrating Sentinel-1/2, PALSAR, and ICESat-2/LVIS data

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Forest canopy height is a key indicator for estimating forest carbon sinks and managing vegetation growth. Existing methods for fusing optical and Light Detection and Ranging (LiDAR) data still have limitations in canopy height estimation for boreal ...
Chenxi Liu   +6 more
doaj   +1 more source

Ice storm effects on the canopy structure of a northern hardwood forest after 8 years [PDF]

open access: yes, 2009
Ice storms can cause severe damage to forest canopies, resulting in differential mortality among tree species and size classes and leading to long-lasting changes in the vertical structure and composition of the forest.
Hamburg, Steven P.   +2 more
core   +3 more sources

Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data

open access: yesISPRS 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
doaj   +1 more source

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