Remote Sensing in Agriculture
Remote Sensing in Agriculture is a research topic within Ecology. Science Explorer counts 45k research works in it since 1950. 27.7% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the use of remote sensing technology, particularly MODIS and Landsat data, for monitoring vegetation dynamics, phenology, and biomass estimation in response to global change and climate variability. The papers also explore the application of machine learning techniques for land cover classification and the assessment of ecological responses to environmental change.
- Remote Sensing
- Vegetation Monitoring
- Phenology
- MODIS
- Landsat
- NDVI
- Global Change
- Climate
- Biomass Estimation
- Machine Learning
- Research works
- 45k fractional, since 1950
- In the world top 10%
- 13k per year above
- Top-10% rate
- 27.7% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +74% the tick is no change
Which countries lead Remote Sensing in Agriculture research?
By volume, China and India publish the most (4.8k and 1.4k works in 2022–2025).
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 in Agriculture research?
By volume in 2022–2025, Chinese Academy of Sciences publishes the most Remote Sensing in Agriculture research, followed by University of Chinese Academy of Sciences and Wuhan University.
By volume, 2022–2025
- 1 Chinese Academy of SciencesChina 229 works
- 2 University of Chinese Academy of SciencesChina 118 works
- 3 Wuhan UniversityChina 99 works
- 4 Beijing Normal UniversityChina 84 works
- 5 Aerospace Information Research InstituteChina 83 works
- 6 China Agricultural UniversityChina 80 works
- 7 Institute of Geographic Sciences and Natural Resources ResearchChina 67 works
- 8 Ministry of Agriculture and Rural AffairsChina 65 works
- 9 Beijing Forestry UniversityChina 64 works
- 10 State Key Laboratory of Remote Sensing ScienceChina 56 works
Who are the leading researchers in Remote Sensing in Agriculture?
The most-cited researchers publishing on Remote Sensing in Agriculture include Luc Van Gool, David H. Weinberg and Josep Peñuelas.
- 1 Luc Van Gool Switzerland 8.5k citations
- 2 David H. Weinberg United States 4.7k citations
- 3 Josep Peñuelas Spain 4.1k citations
- 4 Philippe Ciais France 4k citations
- 5 Vipin Kumar United States 3.9k citations
- 6 James E. Gunn United States 3.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Remote Sensing in Agriculture research done?
The largest centres of Remote Sensing in Agriculture research in 2022–2025 are Beijing (China), Nanjing (China), Wuhan (China) and Guangzhou (China). Among places with at least 20 works in it, it is an unusually large share of all research in Lin’an Shi and São José dos Campos.
Largest cities, 2022–2025
Where it is the local speciality
- Lin’an ShiCN · 25.0 works12×
- São José dos CamposBR · 29.7 works12×
Location quotient: how much more of its research is in Remote Sensing in Agriculture than the world average.
Where is the best place to study Remote Sensing in Agriculture?
Among universities, judged by research, Northwest A&F University, Nanjing Agricultural University and China Agricultural University 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 | Northwest A&F UniversityChina | 78.7 | 53.7% | 11.1× | 56 | +227.9% |
| 2 | Nanjing Agricultural UniversityChina | 71.9 | 51.4% | 9.6× | 48 | +138.7% |
| 3 | China Agricultural UniversityChina | 68.8 | 51.5% | 11.2× | 80 | +18.5% |
| 4 | Agricultural University of AthensGreece | 64.0 | 38.5% | 13.6× | 15 | +304.9% |
| 5 | Henan Agricultural UniversityChina | 63.6 | 52.2% | 10.9× | 23 | +60.3% |
| 6 | Shenyang Agricultural UniversityChina | 62.3 | 49.6% | 8.3× | 14 | +199.4% |
| 7 | Aerospace Information Research InstituteChina | 61.9 | 34.9% | 55.2× | 83 | — |
| 8 | Wuhan UniversityChina | 60.3 | 40.7% | 6.4× | 99 | +111.5% |
| 9 | Parc Científic de la Universitat de ValènciaSpain | 60.3 | 42.9% | 30.5× | 12 | +54.8% |
| 10 | South Dakota State UniversityUnited States | 60.1 | 50.3% | 15.1× | 13 | +58.9% |
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 in Agriculture research growing?
Output in 2018–2022 was 74% higher than in 2013–2017, peaking in 2025. The fastest-growing topics are Remote Sensing in Agriculture.
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.