Most cited papers in Remote Sensing in Agriculture
What are the most cited papers in Remote Sensing in Agriculture?
The most cited paper in Remote Sensing in Agriculture is "WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas" (Stephen E. Fick, Robert J. Hijmans, 2017), with 17,637 citations. Next come "Google Earth Engine: Planetary-scale geospatial analysis for everyone" (15,009) and "Red and photographic infrared linear combinations for monitoring vegetation" (11,851).
Showing 50 of 100 papers. Every paper with more than 1,770 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas Stephen E. Fick, Robert J. Hijmans · International Journal of Climatology | 15 May 2017 | 17,637 |
| 2 | Google Earth Engine: Planetary-scale geospatial analysis for everyone Noel Gorelick, M. Hancher, Mike Dixon et al. · Remote Sensing of Environment | 6 Jul 2017 | 15,009 |
| 3 | Red and photographic infrared linear combinations for monitoring vegetation Compton J. Tucker · Remote Sensing of Environment | May 1979 | 11,851 |
| 4 | Overview of the radiometric and biophysical performance of the MODIS vegetation indices ALFREDO R. HUETE, Kamel Didan, Tomoaki Miura et al. · Remote Sensing of Environment | Nov 2002 | 9,991 |
| 5 | AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization BRENT N. HOLBEN, T. F. Eck, I. Slutsker et al. · Remote Sensing of Environment | Oct 1998 | 8,604 |
| 6 | A soil-adjusted vegetation index (SAVI) ALFREDO R. HUETE · Remote Sensing of Environment | Aug 1988 | 7,978 |
| 7 | Random forest in remote sensing: A review of applications and future directions Mariana Belgiu, Lucian Drăguţ · ISPRS Journal of Photogrammetry and Remote Sensing | 14 Feb 2016 | 7,201 |
| 8 | NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space Bo‐Cai Gao · Remote Sensing of Environment | Dec 1996 | 7,034 |
| 9 | Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery Hanqiu Xu · International Journal of Remote Sensing | 7 Jul 2006 | 6,019 |
| 10 | Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services Matthias Drusch, Umberto Del Bello, Stefane Carlier et al. · Remote Sensing of Environment | 28 Feb 2012 | 4,842 |
| 11 | Status of land cover classification accuracy assessment Giles M. Foody · Remote Sensing of Environment | Apr 2002 | 4,605 |
| 12 | Object based image analysis for remote sensing Thomas Blaschke · ISPRS Journal of Photogrammetry and Remote Sensing | 29 Aug 2009 | 4,539 |
| 13 | Review Article Digital change detection techniques using remotely-sensed data Ashbindu Singh · International Journal of Remote Sensing | Jun 1989 | 3,870 |
| 14 | Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 Ramakrishna Nemani, Charles D. Keeling, Hirofumi Hashimoto et al. · Science | 6 Jun 2003 | 3,753 |
| 15 | On digital soil mapping Alex B. McBratney, Maria de Lourdes Mendonça-Santos, Budiman Minasny · Geoderma | 8 Aug 2003 | 3,685 |
| 16 | MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets M. A. Friedl, Damien Sulla‐Menashe, Bin Tan et al. · Remote Sensing of Environment | 15 Oct 2009 | 3,637 |
| 17 | Using the satellite-derived NDVI to assess ecological responses to environmental change Nathalie Pettorelli, Jon Olav Vik, Atle Mysterud et al. · Trends in Ecology & Evolution | 10 Jun 2005 | 3,616 |
| 18 | The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019 Jie Yang, Xin Huang · Earth system science data | 11 Aug 2021 | 3,582 |
| 19 | Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages Daniel A. Sims, John A. Gamon · Remote Sensing of Environment | 25 Jul 2002 | 3,525 |
| 20 | Support vector machines in remote sensing: A review Giorgos Mountrakis, Jungho Im, Caesar Ogole · ISPRS Journal of Photogrammetry and Remote Sensing | 4 Dec 2010 | 3,464 |
| 21 | A survey of image classification methods and techniques for improving classification performance Dengsheng Lu, Qihao Weng · International Journal of Remote Sensing | Mar 2007 | 3,426 |
| 22 | A modified soil adjusted vegetation index Jiaguo Qi, Abdelghani Chehbouni, ALFREDO R. HUETE et al. · Remote Sensing of Environment | May 1994 | 3,409 |
| 23 | Deep learning models for plant disease detection and diagnosis Konstantinos P. Ferentinos · Computers and Electronics in Agriculture | Feb 2018 | 3,356 |
| 24 | Machine Learning in Agriculture: A Review Konstantinos G. Liakos, Patrizia Busato, Dimitrios Moshou et al. · Sensors | 14 Aug 2018 | 3,332 |
| 25 | Random forest classifier for remote sensing classification Mahesh Pal · International Journal of Remote Sensing | 2005 | 3,327 |
| 26 | Use of a green channel in remote sensing of global vegetation from EOS-MODIS Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak · Remote Sensing of Environment | Dec 1996 | 3,283 |
| 27 | Change detection techniques Dengsheng Lu, Paul W. Mausel, Eduardo S. Brondízio et al. · International Journal of Remote Sensing | 27 May 2004 | 3,252 |
| 28 | European phenological response to climate change matches the warming pattern Annette Menzel et al. · Global Change Biology | 6 Jul 2006 | 3,200 |
| 29 | On the relation between NDVI, fractional vegetation cover, and leaf area index Toby Nahum Carlson, David A.J. Ripley · Remote Sensing of Environment | Dec 1997 | 3,160 |
| 30 | Good practices for estimating area and assessing accuracy of land change Pontus Olofsson, Giles M. Foody, Martin Herold et al. · Remote Sensing of Environment | 11 Apr 2014 | 3,094 |
| 31 | The Sloan Digital Sky Survey Photometric System M. Fukugita, Takashi Ichikawa, James E. Gunn et al. · The Astronomical Journal | Apr 1996 | 3,069 |
| 32 | Characteristics of maximum-value composite images from temporal AVHRR data BRENT N. HOLBEN · International Journal of Remote Sensing | Nov 1986 | 3,044 |
| 33 | China and India lead in greening of the world through land-use management Chi Chen, Taejin Park, Xuhui Wang et al. · Nature Sustainability | 11 Feb 2019 | 3,008 |
| 34 | An assessment of the effectiveness of a random forest classifier for land-cover classification Victor Francisco Rodriguez-Galiano, Bardan Ghimire, John S. Rogan et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 6 Dec 2011 | 2,945 |
| 35 | Optimization of soil-adjusted vegetation indices Geneviève Rondeaux, M. D. Steven, Frédéric Baret · Remote Sensing of Environment | Feb 1996 | 2,922 |
| 36 | Greening of the Earth and its drivers Zaichun Zhu et al. · Nature Climate Change | 22 Apr 2016 | 2,790 |
| 37 | Global land cover mapping from MODIS: algorithms and early results M. A. Friedl, Douglas K. McIver, J.C.F. Hodges et al. · Remote Sensing of Environment | Nov 2002 | 2,773 |
| 38 | Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves Anatoly A. Gitelson, Yuri Gritz †, Mark N. Merzlyak · Journal of Plant Physiology | 2003 | 2,719 |
| 39 | Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data Thomas R. Loveland, Bradley C. Reed, Jesslyn F. Brown et al. · International Journal of Remote Sensing | 2000 | 2,692 |
| 40 | Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture D. Haboudane · Remote Sensing of Environment | 6 Mar 2004 | 2,646 |
| 41 | First operational BRDF, albedo nadir reflectance products from MODIS Crystal Schaaf et al. · Remote Sensing of Environment | Nov 2002 | 2,596 |
| 42 | Monitoring vegetation phenology using MODIS Xiaoyang Zhang, M. A. Friedl, Crystal Schaaf et al. · Remote Sensing of Environment | 4 Feb 2003 | 2,590 |
| 43 | Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications Jinru Xue, Baofeng Su · Journal of Sensors | 2017 | 2,509 |
| 44 | Ideal Spatial Adaptation by Wavelet Shrinkage David L. Donoho, Iain M. Johnstone · Biometrika | Aug 1994 | 2,508 |
| 45 | A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production Steven W. Running, Ramakrishna Nemani, Faith Ann Heinsch et al. · BioScience | 2004 | 2,503 |
| 46 | System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 Olaf Conrad, Benjamin Bechtel, Matthias Bock et al. · Geoscientific model development | 7 Jul 2015 | 2,471 |
| 47 | Deep learning in remote sensing applications: A meta-analysis and review Lei Ma, Yü Liu, Xueliang Zhang et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 28 Apr 2019 | 2,440 |
| 48 | PROSPECT: A model of leaf optical properties spectra Stéphane Jacquemoud, Frédéric Baret · Remote Sensing of Environment | Nov 1990 | 2,410 |
| 49 | An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data Compton J. Tucker, Jorge Enrique Díaz Pinzón, Molly E. Brown et al. · International Journal of Remote Sensing | 20 Oct 2005 | 2,376 |
| 50 | A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter Jin Chen, Per Jönsson, Masayuki Tamura et al. · Remote Sensing of Environment | 29 May 2004 | 2,370 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.