Results 11 to 20 of about 21,023 (158)
Earth and Space ScienceMeasuring and mapping vegetation structure is essential for understanding the functioning of terrestrial ecosystems and for informing environmental policies.
Vítězslav Moudrý +39 more
doaj +8 more sources
A high-resolution canopy height model of the Earth. [PDF]
Nat Ecol Evol, 2023 AbstractThe worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to manage terrestrial ecosystems, mitigate climate change and prevent biodiversity loss.
Lang N, Jetz W, Schindler K, Wegner JD.
europepmc +8 more sources
Publisher Correction: A high-resolution canopy height model of the Earth. [PDF]
Nat Ecol EvolLang N, Jetz W, Schindler K, Wegner JD.
europepmc +3 more sources
Integrating UAVs and Canopy Height Models in Vineyard Management: A Time-Space Approach [PDF]
Remote Sensing, 2021 The present study illustrates an operational approach estimating individual and aggregate vineyards’ canopy volume estimation through three years Tree-Row-Volume (TRV) measurements and remotely sensed imagery acquired with unmanned aerial vehicle (UAV) Red-Green-Blue (RGB) digital camera, processed with MATLAB scripts, and validated through ArcGIS ...
Alberto Sassu +5 more
openaire +2 more sources
A 0.6-meter resolution canopy height model for the contiguous United States. [PDF]
Sci DataAbstract Above-ground vertical structure is a critical variable for ecosystem monitoring, carbon accounting, and land management. However, the high cost and limited coverage of airborne lidar hinder its widespread application. To address this, we developed NAIP-CHM, a 0.6-meter resolution canopy height and structure model (CHM ...
Morford SL +6 more
europepmc +2 more sources
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA [PDF]
Remote Sensing, 2017 Light detection and ranging (Lidar) data can be used to create wall-to-wall forest structure and fuel products that are required for wildfire behavior simulation models. We know that Lidar-derived forest parameters have a non-negligible error associated with them, yet we do not know how this error influences the results of fire behavior modeling that ...
Maggi Kelly +6 more
openaire +5 more sources
Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data
Sensors, 2023 Rice canopy height and density are directly usable crop phenotypic traits for the direct estimation of crop biomass. Therefore, it is crucial to rapidly and accurately estimate these phenotypic parameters.
Linlong Jing +3 more
doaj +1 more source
Canopy height estimation using drone-based RGB images
Smart Agricultural Technology, 2023 Canopy height is an important crop biophysical parameter. It provides information about the crop growth as well as act as an input parameter for biomass and crop yield models.
Aravind Bharathi Valluvan +3 more
doaj +1 more source
Remote Sensing, 2022 PolInSAR is an active remote sensing technique that is widely used for forest canopy height estimation, with the random volume over ground (RVoG) model being the most classic and effective forest canopy height inversion approach.
Hongbin Luo +4 more
doaj +1 more source
Weak Environmental Controls of Tropical Forest Canopy Height in the Guiana Shield
Remote Sensing, 2016 Canopy height is a key variable in tropical forest functioning and for regional carbon inventories. We investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the ...
Youven Goulamoussène +5 more
doaj +1 more source