Leaderboards/Remote Sensing and LiDAR Applications

Remote Sensing and LiDAR Applications

Last updated June 1, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Gabriel Navarro
Consejo Superior de Investigaciones Científicas
70

Rising Stars Papers

1
Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery
Remote Sensing|2024
22 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Xuehui Zhao
Chongqing University
99
2
Kaleem Mehmood
Beijing Forestry University
98
3
Belachew Gizachew
Norwegian Institute of Bioeconomy Research
82
4
Yuchen Bai
Unknown
79
5
Ramla Sheikh
University of Haripur
78
6
Tianchu Wang
Beijing Forestry University
64
7
E. Oliveira
University of Siena
50
8
Jamshid Ali
Beijing Forestry University
50
9
Rogério Pinto Espíndola
Universidade Federal do Rio de Janeiro
43
10
Szilárd Molnár
Technical University of Cluj-Napoca
23

Emerging Leaders Papers

1
Assessment of climatic influences on net primary productivity along elevation gradients in temperate ecoregions
Trees Forests and People|2024
50 cit.
2
Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project
Ecology and Evolution|2025
42 cit.
3
Remote sensing and integration of machine learning algorithms for above-ground biomass estimation in Larix principis-rupprechtii Mayr plantations: a case study using Sentinel-2 and Landsat-9 data in northern China
Frontiers in Environmental Science|2025
13 cit.
4
Applications of Machine Learning Methods in Sustainable Forest Management
Climate|2025
7 cit.
5
Close proximity aerial image for precision viticulture. A review
Journal of Plant Diseases and Protection|2025
2 cit.
6
Unlocking the power of L1 regularization: A novel approach to taming overfitting in CNN for image classification
PLoS ONE|2025
1 cit.
7
Remote Sensing for Vegetation Monitoring: Insights of a Cross-Platform Coherence Evaluation
Land|2026
1 cit.
8
Artificial Intelligence and Machine Learning in Remote Sensing for Tropical Forest Monitoring: Applications, Challenges, and Emerging Solutions
Remote Sensing|2026
1 cit.
9
Performance optimization of multilink laser powered UAV relay systems
Scientific Reports|2025
0 cit.
10
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing
Ecological Informatics|2025
0 cit.

All-Time Leaders

The canon

All-Time Leaders Researchers

1
Brigitta Szabó
University of Pannonia
78
2
Mikko Vastaranta
Research Council of Finland
67
3
Hao Yang
National Engineering Research Center for Information Technology in Agriculture
65
4
Petr Vopěnka
Czech University of Life Sciences Prague
63
5
Simon Willcock
University of Southampton
60
6
David A. Coomes
University of Cambridge
59
7
Antônio Maria Garcia Tommaselli
Universidade Estadual Paulista (Unesp)
58
8
Mahendra Dia
North Carolina State University
56
9
Erle C. Ellis
University of Maryland, Baltimore County
48
10
D. C. Finnegan
U.S. Army Engineer Research and Development Center
46

All-Time Leaders Papers

1
Terrestrial laser scanning in forest inventories
ISPRS Journal of Photogrammetry and Remote Sensing|2016
833 cit.
2
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Frontiers in Plant Science|2017
736 cit.
3
An integrated pan‐tropical biomass map using multiple reference datasets
Global Change Biology|2015
717 cit.
4
Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds
Forests|2016
687 cit.
5
On the Use of Unmanned Aerial Systems for Environmental Monitoring
Remote Sensing|2018
657 cit.
6
Lidar measurement of snow depth: a review
Journal of Glaciology|2013
642 cit.
7
Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure
Remote Sensing|2015
429 cit.
8
Individual Tree Detection and Classification with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
Remote Sensing|2017
411 cit.
9
Allometric equations for integrating remote sensing imagery into forest monitoring programmes
Global Change Biology|2016
403 cit.
10
Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest
Forests|2017
373 cit.

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