Most cited papers in Remote Sensing and LiDAR Applications
What are the most cited papers in Remote Sensing and LiDAR Applications?
The most cited paper in Remote Sensing and LiDAR Applications is "Overview of the radiometric and biophysical performance of the MODIS vegetation indices" (ALFREDO R. HUETE, Kamel Didan, Tomoaki Miura et al., 2002), with 9,991 citations. Next come "Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery" (6,019) and "CONDENSATION—Conditional Density Propagation for Visual Tracking" (4,900).
Showing 50 of 100 papers. Every paper with more than 1,020 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | CONDENSATION—Conditional Density Propagation for Visual Tracking Michael Isard, Andrew Blake · International Journal of Computer Vision | Aug 1998 | 4,900 |
| 4 | Remote Sensing And Image Interpretation THOMAS M. LILLESAND, Ralph W. Kiefer, Jonathan Chipman | 1979 | 4,476 |
| 5 | ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes Angela Dai, Anne Lynn S. Chang, Manolis Savva et al. | Jul 2017 | 4,270 |
| 6 | ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications Matthew Westoby, James Brasington, Neil F. Glasser et al. · Geomorphology | 6 Sep 2012 | 4,137 |
| 7 | Tree allometry and improved estimation of carbon stocks and balance in tropical forests Jérôme Chave, Christophe Andalo, Sandra Brown et al. · Oecologia | 22 Jun 2005 | 3,599 |
| 8 | 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 |
| 9 | SECOND: Sparsely Embedded Convolutional Detection Yan Yan, Yuxing Mao, Bo Li · Sensors | 6 Oct 2018 | 3,426 |
| 10 | A modified soil adjusted vegetation index Jiaguo Qi, Abdelghani Chehbouni, ALFREDO R. HUETE et al. · Remote Sensing of Environment | May 1994 | 3,409 |
| 11 | Road Extraction by Deep Residual U-Net Zhengxin Zhang, Qingjie Liu, Yunhong Wang · IEEE Geoscience and Remote Sensing Letters | 8 Mar 2018 | 3,178 |
| 12 | Improved allometric models to estimate the aboveground biomass of tropical trees Jérôme Chave et al. · Global Change Biology | 10 May 2014 | 3,146 |
| 13 | 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 |
| 14 | Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina, P. Molina · ISPRS Journal of Photogrammetry and Remote Sensing | Apr 2014 | 3,006 |
| 15 | Optimization of soil-adjusted vegetation indices Geneviève Rondeaux, M. D. Steven, Frédéric Baret · Remote Sensing of Environment | Feb 1996 | 2,922 |
| 16 | Monitoring vegetation phenology using MODIS Xiaoyang Zhang, M. A. Friedl, Crystal Schaaf et al. · Remote Sensing of Environment | 4 Feb 2003 | 2,590 |
| 17 | Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications Jinru Xue, Baofeng Su · Journal of Sensors | 2017 | 2,509 |
| 18 | Three-dimensional alpha shapes Herbert Edelsbrunner, Ernst P. Mücke · ACM Transactions on Graphics | 1994 | 2,504 |
| 19 | Benchmark map of forest carbon stocks in tropical regions across three continents Sassan S Saatchi, Nancy L. Harris, Sandra Brown et al. · Proceedings of the National Academy of Sciences | 31 May 2011 | 2,446 |
| 20 | Deep Learning for 3D Point Clouds: A Survey Yulan Guo, Hanyun Wang, Qingyong Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 29 Jun 2020 | 2,375 |
| 21 | Development of a two-band enhanced vegetation index without a blue band Zixiao Jiang, ALFREDO R. HUETE, K. Didan et al. · Remote Sensing of Environment | 28 Jul 2008 | 2,219 |
| 22 | Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model Wouter Verhoef · Remote Sensing of Environment | Oct 1984 | 2,038 |
| 23 | A comparison of vegetation indices over a global set of TM images for EOS-MODIS ALFREDO R. HUETE · Remote Sensing of Environment | Mar 1997 | 2,032 |
| 24 | The application of small unmanned aerial systems for precision agriculture: a review Chunhua Zhang, John M. Kovacs · Precision Agriculture | 30 Jul 2012 | 2,022 |
| 25 | Farming the planet: 1. Geographic distribution of global agricultural lands in the year 2000 Navin Ramankutty, Amato T. Evan, Chad Monfreda et al. · Global Biogeochemical Cycles | 16 Jan 2008 | 2,022 |
| 26 | Photometric Method For Determining Surface Orientation From Multiple Images Robert J. Woodham · Optical Engineering | Feb 1980 | 2,019 |
| 27 | Determination of Deforestation Rates of the World's Humid Tropical Forests Frédéric Achard, Hugh Douglas Eva, Hans‐Jürgen Stibig et al. · Science | 9 Aug 2002 | 2,015 |
| 28 | Interpolation of Spatial Data: Some Theory for Kriging Stephen L. Rathbun, Michael L. Stein · Journal of the American Statistical Association | Sep 2000 | 1,999 |
| 29 | Potentials and limits of vegetation indices for LAI and APAR assessment Frédéric Baret, G. Guyot · Remote Sensing of Environment | Feb 1991 | 1,992 |
| 30 | 3D Semantic Parsing of Large-Scale Indoor Spaces Iro Armeni, Ozan Şener, Amir Zamir et al. | Jun 2016 | 1,987 |
| 31 | Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps David J. MULLA · Biosystems Engineering | 13 Sep 2012 | 1,980 |
| 32 | UAV for 3D mapping applications: a review Francesco Nex, Fabio Remondino · Applied Geomatics | 7 Nov 2013 | 1,892 |
| 33 | Remote sensing for agricultural applications: A meta-review Marie J. Weiss, Frédéric Jacob, Grégory Duveiller · Remote Sensing of Environment | 12 Nov 2019 | 1,881 |
| 34 | Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps Alessandro Baccini, S. J. Goetz, Wayne Walker et al. · Nature Climate Change | 27 Jan 2012 | 1,868 |
| 35 | Matterport3D: Learning from RGB-D Data in Indoor Environments Anne Lynn S. Chang, Angela Dai, Thomas A. Funkhouser et al. | Oct 2017 | 1,833 |
| 36 | Review on Convolutional Neural Networks (CNN) in vegetation remote sensing Teja Kattenborn, Jens Leitloff, Felix Schiefer et al. · ISPRS Journal of Photogrammetry and Remote Sensing | 18 Jan 2021 | 1,820 |
| 37 | Graph-based approach for airborne light detection and ranging segmentation David Lopez Vilarino, Jose Carlos Cabaleiro, Jorge Martínez Sánchez et al. · Journal of Applied Remote Sensing | 10 Mar 2017 | 1,768 |
| 38 | FAST-LIO2: Fast Direct LiDAR-Inertial Odometry Wei Dong Xu, Yixi Cai, Dongjiao He et al. · IEEE Transactions on Robotics | 31 Jan 2022 | 1,716 |
| 39 | Joint 3D Proposal Generation and Object Detection from View Aggregation Jason S. Ku, Melissa Mozifian, Jungwook Lee et al. | Oct 2018 | 1,691 |
| 40 | A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing Sha Huang, Lina Tang, Joseph Pierre Hupy et al. · Journal of Forestry Research | 31 May 2020 | 1,675 |
| 41 | A review of vegetation indices A. Bannari, Denis Morin, F. Bonn et al. · Remote Sensing Reviews | Aug 1995 | 1,674 |
| 42 | Monitoring and estimating tropical forest carbon stocks: making REDD a reality Holly Gibbs, Sandra Brown, John O. Niles et al. · Environmental Research Letters | Oct 2007 | 1,674 |
| 43 | 1 year, 1000 km: The Oxford RobotCar dataset Will Maddern, Geoffrey Pascoe, Chris Linegar et al. · The International Journal of Robotics Research | 29 Nov 2016 | 1,657 |
| 44 | Remote sensing of foliar chemistry Paul J. Curran · Remote Sensing of Environment | Dec 1989 | 1,592 |
| 45 | An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation Wuming Zhang, Jianbo Qi, Peng Wan et al. · Remote Sensing | 15 Jun 2016 | 1,589 |
| 46 | Development of a 2001 National Land-Cover Database for the United States Collin G. Homer, Chengquan Huang, Limin Yang et al. · Photogrammetric Engineering & Remote Sensing | Jul 2004 | 1,587 |
| 47 | Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review Anna Chlingaryan, Salah Sukkarieh, Brett M. Whelan · Computers and Electronics in Agriculture | 5 Jun 2018 | 1,578 |
| 48 | Learning Low-Level Vision William T. Freeman, Egon C. Pasztor, Owen T. Carmichael · International Journal of Computer Vision | Oct 2000 | 1,485 |
| 49 | Argoverse: 3D Tracking and Forecasting With Rich Maps Ming-Fang Chang, John Lambert, Patsorn Sangkloy et al. | Jun 2019 | 1,482 |
| 50 | Applications of Remote Sensing in Precision Agriculture: A Review Rajendra P. Sishodia, Ram L. Ray, Sudhir Kumar Singh · Remote Sensing | 24 Sep 2020 | 1,448 |
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.