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Remote Sensing and LiDAR Applications

TopicLeading institutions, researchers & key papers

Remote Sensing and LiDAR Applications is a topic indexed in ScholarIQ from OpenAlex.

What is known about Remote Sensing and LiDAR Applications?

ScholarIQrecord summary

This cluster of papers focuses on the use of Lidar remote sensing technology for mapping and assessing various forest attributes such as carbon stocks, aboveground biomass, tree height, and canopy structure at global and regional scales. The papers cover techniques like airborne and terrestrial laser scanning, data fusion, individual tree detection, and biomass estimation, highlighting the importance of Lidar in sustainable forest management and ecological research.

How many works does Remote Sensing and LiDAR Applications have?

ScholarIQindexed works

Remote Sensing and LiDAR Applications has 115 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

What is the OpenAlex record for Remote Sensing and LiDAR Applications?

ScholarIQopenalex

The OpenAlex for Remote Sensing and LiDAR Applications is on the source record.

What are the most-cited papers on Remote Sensing and LiDAR Applications?

ScholarIQmost cited works
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation
Wuming Zhang, Jianbo Qi, Peng Wan, Hongtao Wang, Donghui Xie, Xiaoyan Wang, Guangjian Yan
Remote Sensing. 20161,539 CitationsOPEN ACCESS
The National Elevation Dataset
Dean B. Gesch, Michael J. Oimoen, Susan K. Greenlee, Charles A. Nelson, Michael J. Steuck, Dean J. Tyler
Photogrammetric Engineering & Remote Sensing. 20021,021 Citations
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
Guangjian Yan, Ronghai Hu, Jinghui Luo, Marie Weiss, Hailan Jiang, Xihan Mu, Donghui Xie, Wuming Zhang
Agricultural and Forest Meteorology. 2018452 CitationsOPEN ACCESS
Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA
Hao Tang, Matthew Brolly, Feng Zhao, Alan H. Strahler, Crystal Schaaf, Sangram Ganguly, Gong Zhang, Ralph Dubayah
Remote Sensing of Environment. 2014174 Citations
Automatic Extraction of Power Lines From Aerial Images
Guangjian Yan, Chaoyang Li, Guoqing Zhou, Wuming Zhang, Xiaowen Li
IEEE Geoscience and Remote Sensing Letters. 2007171 Citations

Where is Remote Sensing and LiDAR Applications research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock

How much of the research on Remote Sensing and LiDAR Applications is open access?

ScholarIQopen access share
47%OPEN ACCESS
Gold
40%
Green
0%
Hybrid
7%
Bronze
0%
Closed
53%

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