Remote Sensing and LiDAR Applications
Remote Sensing and LiDAR Applications is a research topic within Environmental Engineering. Science Explorer counts 44k research works in it since 1950. 24.4% of them reached the world's top 10% most cited for their field and year.
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.
- Lidar Remote Sensing
- Forest Carbon Stocks
- Aboveground Biomass
- Tree Height Estimation
- Global Forest Mapping
- Airborne Laser Scanning
- Terrestrial Laser Scanning
- Forest Inventory
- Biomass Estimation
- Canopy Structure
- Research works
- 44k fractional, since 1950
- In the world top 10%
- 11k per year above
- Top-10% rate
- 24.4% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +64% the tick is no change
Which countries lead Remote Sensing and LiDAR Applications research?
By volume, China and the United States publish the most (5.1k and 1.3k works in 2022–2025).
By volume, 2022–2025
- 1 China 5.1k works
- 2 United States 1.3k works
- 3 India 523 works
- 4 Germany 508 works
- 5 Italy 435 works
- 6 Japan 324 works
- 7 Canada 298 works
- 8 South Korea 287 works
- 9 Spain 283 works
- 10 United Kingdom 280 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Remote Sensing and LiDAR Applications research?
By volume in 2022–2025, Wuhan University publishes the most Remote Sensing and LiDAR Applications research, followed by Chinese Academy of Sciences and Beijing Forestry University.
By volume, 2022–2025
- 1 Wuhan University China 135 works
- 2 Chinese Academy of Sciences China 120 works
- 3 Beijing Forestry University China 63 works
- 4 University of Chinese Academy of Sciences China 62 works
- 5 Tongji University China 55 works
- 6 Northeast Forestry University China 53 works
- 7 National University of Defense Technology China 50 works
- 8 Aerospace Information Research Institute China 50 works
- 9 Harbin Institute of Technology China 50 works
- 10 Beijing Institute of Technology China 50 works
Who are the leading researchers in Remote Sensing and LiDAR Applications?
The most-cited researchers publishing on Remote Sensing and LiDAR Applications include Luc Van Gool, Wolfram Burgard and Leonidas Guibas.
- 1 Luc Van Gool 8.5k citations
- 2 Wolfram Burgard 6.3k citations
- 3 Leonidas Guibas 6.3k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Remote Sensing and LiDAR Applications research done?
The largest centres of Remote Sensing and LiDAR Applications research in 2022–2025 are Beijing (China), Wuhan (China), Nanjing (China) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Lin’an Shi.
Largest cities, 2022–2025
Where it is the local speciality
- Lin’an ShiCN · 23.7 works12×
Location quotient: how much more of its research is in Remote Sensing and LiDAR Applications than the world average.
Where is the best place to study Remote Sensing and LiDAR Applications?
Among universities, judged by research, Guilin University of Technology, Wuhan University and China University of Geosciences score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | Guilin University of Technology China | 65.0 | 30.5% | 12.6× | 34 | +368.7% |
| 2 | Wuhan University China | 63.7 | 31.5% | 8.7× | 135 | +42.1% |
| 3 | China University of Geosciences China | 60.9 | 34.7% | 7.6× | 45 | +129.4% |
| 4 | Polytechnic University of Bari Italy | 59.0 | 50.1% | 7.2× | 11 | +143.0% |
| 5 | BOKU University Austria | 58.5 | 36.9% | 10.7× | 14 | +24.2% |
| 6 | Czech University of Life Sciences Prague Czechia | 58.2 | 17.2% | 10.0× | 13 | +324.3% |
| 7 | Aerospace Information Research Institute China | 57.4 | 25.6% | 33.3× | 50 | — |
| 8 | University of Agriculture in Krakow Poland | 56.8 | 23.7% | 12.5× | 13 | +193.8% |
| 9 | Hong Kong Polytechnic University Hong Kong | 56.6 | 44.4% | 2.8× | 31 | +116.5% |
| 10 | Nanjing Forestry University China | 56.5 | 31.0% | 8.4× | 49 | +55.8% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Remote Sensing and LiDAR Applications research growing?
Output in 2018–2022 was 64% higher than in 2013–2017, peaking in 2024. The fastest-growing topics are Remote Sensing and LiDAR Applications.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.