Results 11 to 20 of about 33,462 (282)

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   +3 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   +4 more sources

Estimation of Forest Canopy Height and Aboveground Biomass from Spaceborne LiDAR and Landsat Imageries in Maryland

Remote Sensing, 2018
Mapping the regional distribution of forest canopy height and aboveground biomass is worthwhile and necessary for estimating the carbon stocks on Earth and assessing the terrestrial carbon flux. In this study, we produced maps of forest canopy height and
Mengjia Wang, Rui Sun, Zhiqiang Xiao
doaj   +4 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   +2 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   +3 more sources

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

Remote 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, Mukunda D. Behera, Subham Kumar, Pulakesh Das, Ambadipudi J. Prakash, Prasad K. Bhaskaran, Parth S. Roy, Saroj K. Barik, Chockalingam Jeganathan, Prashant K. Srivastava, Soumit K. Behera   +10 more
doaj   +2 more sources

Forest drought resistance distinguished by canopy height

Environmental Research Letters, 2018
How are the survival and growth of trees under severe drought affected by their size? While some studies have shown that large trees are more vulnerable to drought than smaller trees, others found that small trees are the more vulnerable. We explored the potential relationships between canopy height and forest responses to drought indicated by tree ...
Peipei Xu, Tao Zhou, Chuixiang Yi, Wei Fang, George Hendrey, Xiang Zhao   +5 more
openaire   +4 more sources

A 3-D Spatial–Spectral–Temporal Deep Regression Model for Improving Mangrove Canopy Height Estimation Through Fusion of Optimized Red-Edge Sentinel-2 Bands and Sentinel-1 SAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Mangroves are vital blue carbon ecosystems with high carbon storage, where canopy height is a key parameter for estimating above-ground biomass.
Ilham Jamaluddin, Ying-Nong Chen, Amalia Gita Ayudyanti, Lin Hui, Kuo-Chin Fan   +4 more
doaj   +2 more sources

Estimating Biomass and Canopy Height With LiDAR for Field Crop Breeding. [PDF]

Front Plant Sci, 2019
Above-ground biomass (AGB) is a trait with much potential for exploitation within wheat breeding programs and is linked closely to canopy height (CH). However, collecting phenotypic data for AGB and CH within breeding programs is labor intensive, and in the case of AGB, destructive and prone to assessment error.
Walter JDC, Edwards J, McDonald G, Kuchel H.   +3 more
europepmc   +5 more sources

Spaceborne canopy height products should be complemented with airborne laser scanning data: Towards a European canopy height model

Earth and Space Science
Measuring and mapping vegetation structure is essential for understanding the functioning of terrestrial ecosystems and for informing environmental policies. Recent years have seen a growing demand for high-resolution data on vegetation structure, driving their prediction at fine resolutions (1 m - 30 m) at state, continental, and global spatial ...
Vítězslav Moudrý, Ruben Remelgado, Matthias Forkel, Michele Torresani, Gaia Vaglio Laurin, Eliška Šárovcová, Virginia E. Garcia Millan, Fabian Jörg Fischer, Tommaso Jucker, Michal Gallay, Patrick Kacic, Christopher R. Hakkenberg, Žiga Kokalj, Krzysztof Stereńczak, Yousef Erfanifard, Duccio Rocchini, Jiří Prošek, Stephanie Roilo, Kateřina Gdulová, Anna F. Cord, Michela Perrone, Juan Alberto Molina‐Valero, Jiří Šmída, Peter Surový, Zlatica Melichová, Marco Malavasi, Rudolf Urban, Martin Štroner, Dominik Seidel, Szilárd Szabó, László Bertalan, Anette Eltner, Roberto Cazzolla Gatti, Ján Kaňuk, Vojtěch Barták, Daniel Franke, Benjamin Brede, Qian Song, Mikhail Urbazaev, W. Daniel Kissling   +39 more
core   +7 more sources