Results 11 to 20 of about 991,372 (223)

Estimates of Forest Canopy Height Using a Combination of ICESat-2/ATLAS Data and Stereo-Photogrammetry

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, Min Xu, Chunxiang Cao, Yongfeng Dang, Barjeece Bashir, Bo Xie, Zhibin Huang   +6 more
doaj   +3 more sources

Comparison of three global canopy height maps and their applicability to biodiversity modeling: Accuracy issues revealed

Ecosphere
Global mapping of forest height is an extremely important task for estimating habitat quality and modeling biodiversity. Recently, three global canopy height maps have been released, the global forest canopy height map (GFCH), the high‐resolution canopy ...
Vítězslav Moudrý, Lukáš Gábor, Suzanne Marselis, Petra Pracná, Vojtěch Barták, Jiří Prošek, Barbora Navrátilová, Jan Novotný, Markéta Potůčková, Kateřina Gdulová, Pablo Crespo‐Peremarch, Jan Komárek, Marco Malavasi, Duccio Rocchini, Luis A. Ruiz, Jesús Torralba, Michele Torresani, Roberto Cazzolla Gatti, Jan Wild   +18 more
doaj   +2 more sources

The Transferability of Random Forest in Canopy Height Estimation from Multi-Source Remote Sensing Data

Remote Sensing, 2018
Canopy height is an important forest structure parameter for understanding forest ecosystem and improving global carbon stock quantification accuracy.
Shichao Jin, Yanjun Su, Shang Gao, Tianyu Hu, Jin Liu, Qinghua Guo   +5 more
doaj   +3 more sources

Accuracy Assessment of GEDI Terrain Elevation and Canopy Height Estimates in European Temperate Forests: Influence of Environmental and Acquisition Parameters

Remote Sensing, 2020
Lidar remote sensing has proven to be a powerful tool for estimating ground elevation, canopy height, and additional vegetation parameters, which in turn are valuable information for the investigation of ecosystems.
Markus Adam, Mikhail Urbazaev, Clémence Dubois, Christiane Schmullius   +3 more
doaj   +3 more sources

Forest Canopy Height Estimation from Calipso Lidar Measurement

EPJ Web of Conferences, 2016
The canopy height is an important parameter in aboveground biomass estimation. Lidar remote sensing from airborne or satellite platforms, has a unique capability for forestry applications.
Lu Xiaomei, Hu Yongxiang, Lucker Patricia L., Trepte Charles   +3 more
doaj   +2 more sources

Canopy height and biomass distribution across the forests of Iberian Peninsula. [PDF]

Sci Data
Acknowledgements: MAZ, JTT, JA and VCA acknowledge support from the Spanish Ministry of Science and Innovation (grant LARGE, Nº PID2021-123675OB-C41, Agencia Estatal de Investigación).
Su Y, Schwartz M, Fayad I, García M, Zavala MA, Tijerín-Triviño J, Astigarraga J, Cruz-Alonso V, Liu S, Zhang X, Chen S, Ritter F, Besic N, d'Aspremont A, Ciais P.   +14 more
europepmc   +2 more sources

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

Remote Sensing, 2022
Canopy height is a fundamental parameter for determining forest ecosystem functions such as biodiversity and above-ground biomass. Previous studies examining the underlying patterns of the complex relationship between canopy height and its environmental ...
Esmaeel Adrah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, Shaurya Bajaj, Rodrigo Vieira Leite, Siti Munirah Mazlan, Carlos Alberto Silva, Maggie Chel Gee Ooi, Mohd Nizam Mohd Said, Khairul Nizam Abdul Maulud, Adrián Cardil, Midhun Mohan   +11 more
doaj   +1 more source

Vegetation height products between 60° S and 60° N from ICESat GLAS data. [PDF]

, 2012
We present new coarse resolution (0.5 ×0.5 )vegetation height and vegetation-cover fraction data sets between 60 S and 60 N for use in climate models and ecological models.
S. O. Los, L. Chasmer, R. A. Hill, Jacqueline Rosette, Hopkinson, C., N. Kljun, P. R. J. North, North , P.R.J, Suarez, J., Mahoney, C., Chasmer, L., E. van Gorsel, Peter North, Berni, J.A., Kljun, N., J. C. Suárez, Sietse Los, van Gorsel, E., C. Hopkinson, Hill, R.A., C. Mahoney, Natascha Kljun, J. A. J. Berni, Los, S.O, Rosette, J., J. A. B. Rosette   +25 more
core   +2 more sources

Canopy Height Estimation Using Sentinel Series Images through Machine Learning Models in a Mangrove Forest

Remote Sensing, 2020
Canopy height serves as a good indicator of forest carbon content. Remote sensing-based direct estimations of canopy height are usually based on Light Detection and Ranging (LiDAR) or Synthetic Aperture Radar (SAR) interferometric data.
Sujit Madhab Ghosh, Mukunda Dev Behera, Somnath Paramanik   +2 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