Results 11 to 20 of about 1,205,740 (288)

Evaluation and Comparison of ICESat-2 and GEDI Data for Terrain and Canopy Height Retrievals in Short-Stature Vegetation

Remote Sensing, 2023
Two space-borne light detection and ranging (LiDAR) missions, Global Ecosystem Dynamics Investigation (GEDI) and Ice, Cloud, and land Elevation Satellite-2 (ICESat-2), have demonstrated high capabilities in extracting terrain and canopy heights in forest
Xiaoxiao Zhu, S. Nie, Yamin Zhu, Yiming Chen, Bo Yang, Wang Li   +5 more
semanticscholar   +3 more sources

A Framework for Improving Wall-to-Wall Canopy Height Mapping by Integrating GEDI LiDAR

Remote Sensing, 2022
Spatially continuous canopy height is a vital input for modeling forest structures and functioning. The global ecosystem dynamics investigation (GEDI) waveform can penetrate a canopy to precisely find the ground and measure canopy height, but it is ...
Cangjiao Wang, A. Elmore, Izaya Numata, M. Cochrane, S. Lei, C. Hakkenberg, Yuanyuan Li, Yibo Zhao, Yu Tian   +8 more
semanticscholar   +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, S. Marselis, Petra Pracná, Vojtěch Barták, Jiří Prošek, B. Navrátilová, Jan Novotný, Markéta Potůčková, Kateřina Gdulová, P. Crespo‐Peremarch, Jan Komárek, M. Malavasi, D. Rocchini, Luis A. Ruiz, Jesús Torralba, Michele Torresani, R. Cazzolla Gatti, Jan Wild   +18 more
semanticscholar   +2 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.
S. Ghosh, M. D. Behera, Subham Kumar, P. Das, A. J. Prakash, P. Bhaskaran, P. Roy, S. K. Barik, J. Chockalingam, P. Srivastava, S. Behera   +10 more
semanticscholar   +3 more sources

Landsat-Scale Regional Forest Canopy Height Mapping Using ICESat-2 Along-Track Heights: Case Study of Eastern Texas

Remote Sensing, 2022
Spaceborne profiling lidar missions such as the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) are collecting direct elevation measurements, supporting the retrieval of vegetation attributes such as canopy height that are crucial in forest carbon ...
L. Malambo, S. Popescu, Meng Liu
semanticscholar   +3 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 ...
E. Adrah, W. M. Jaafar, H. Omar, S. Bajaj, R. Leite, Siti Munirah Mazlan, C. A. Silva, M. Ooi, M. N. Said, Khairul Nizam Abdul Maulud, A. Cardil, M. Mohan   +11 more
semanticscholar   +3 more sources

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

Remote 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.
Z. Xi, Huazheng Xu, Y. Xing, Weishu Gong, Guizhen Chen, Shuhang Yang   +5 more
semanticscholar   +3 more sources

Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation

ECCV Workshops
Estimating global tree canopy height is crucial for forest conservation and climate change applications. However, capturing high-resolution ground truth canopy height using LiDAR is expensive and not available globally.
Daniele Rege Cambrin, Isaac Corley, Paolo Garza   +2 more
semanticscholar   +4 more sources

Forest Canopy Height Estimation from Calipso Lidar Measurement [PDF]

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. This study introduces an innovative concept to estimate canopy height using CALIOP two wavelengths lidar measurements.
Lu Xiaomei, Hu Yongxiang, Lucker Patricia L., Trepte Charles   +3 more
openaire   +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.
S. Ghosh, M. D. Behera, S. Paramanik
semanticscholar   +3 more sources