Leaderboards/Remote Sensing in Agriculture

Remote Sensing in Agriculture

Last updated June 1, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Aroloye O. Numbere
University of Port Harcourt
5

Rising Stars Papers

1
Effects of Environmental Factors on Vegetation Health across Three States in Nigeria
Journal of Botanical Research|2025
0 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Kaleem Mehmood
Beijing Forestry University
99
2
Dorijan Radočaj
University of Osijek
99
3
Belachew Gizachew
Norwegian Institute of Bioeconomy Research
91
4
Hye-Jung Moon
Seoul National University of Science and Technology
90
5
Yue Hai
Chinese Academy of Sciences
84
6
Tianchu Wang
Beijing Forestry University
75
7
Siti Anis Dalila Muhammad Zahir
Universiti Malaysia Pahang Al-Sultan Abdullah
71
8
Jamshid Ali
Beijing Forestry University
64
9
E. Oliveira
University of Siena
64
10
Catherine Nakalembe
University of Maryland, College Park
60

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
Cropland Suitability Prediction Method Based on Biophysical Variables from Copernicus Data and Machine Learning
Applied Sciences|2025
7 cit.
5
Quantifying the impact of varied NPK fertilizer levels on oil palm plants during the nursery stage: A Vis-NIR spectral reflectance analysis
Smart Agricultural Technology|2025
5 cit.
6
Quantifying the impact of precipitation fluctuations on forest growth in Northeast China
Frontiers in Plant Science|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
Overcoming cloud obstruction: Fast forest-damage assessment in post-tropical cyclone optical remote sensing
Ecological Informatics|2025
0 cit.
10
A framework for EO-based National Agricultural Monitoring (EO-NAM) for the African Context
npj Sustainable Agriculture|2025
0 cit.

All-Time Leaders

The canon

All-Time Leaders Researchers

1
José Gómez‐Dans
National Centre for Earth Observation
60
2
Julius Musyoka Ndambuki
Tshwane University of Technology
59
3
Michael A. Wulder
Canadian Forest Service
58
4
Josep Peñuelas
Centre for Research on Ecology and Forestry Applications
51
5
Guido R. van der Werf
Vrije Universiteit Amsterdam
50
6
Hao Yang
National Engineering Research Center for Information Technology in Agriculture
43
7
Simon Willcock
University of Southampton
33
8
David A. Coomes
University of Cambridge
32
9
Antônio Maria Garcia Tommaselli
Universidade Estadual Paulista (Unesp)
30
10
Martin Stevens
University of Exeter
24

All-Time Leaders Papers

1
Interannual variability in global biomass burning emissions from 1997 to 2004
Atmospheric chemistry and physics|2006
2k cit.
2
Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)
Journal of Geophysical Research Biogeosciences|2013
1.7k cit.
3
Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power
Biogeosciences|2012
1.6k cit.
4
Human-induced nitrogen–phosphorus imbalances alter natural and managed ecosystems across the globe
Nature Communications|2013
1.5k cit.
5
Optical remotely sensed time series data for land cover classification: A review
ISPRS Journal of Photogrammetry and Remote Sensing|2016
1.2k cit.
6
Current status of Landsat program, science, and applications
Remote Sensing of Environment|2019
1.1k cit.
7
Accuracy Assessment of Land Use/Land Cover Classification Using Remote Sensing and GIS
International Journal of Geosciences|2017
946 cit.
8
Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015)
Geoscientific model development|2017
746 cit.
9
Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
Frontiers in Plant Science|2017
736 cit.
10
An integrated pan‐tropical biomass map using multiple reference datasets
Global Change Biology|2015
717 cit.

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