Keyword

crop mapping

Description: The identification and spatial delineation of crop types using geographic information, field observations, and often remote sensing or machine-learning methods.

Primary topic: Remote Sensing in Agriculture (75%)

Wikidata ID: wiki/Q132531533

OpenAlex ID: keywords/crop-mapping

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

2020 · Haifa Tamiminia, Bahram Salehi, et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 1,370

Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

2011 · Claire Boryan, Zhengwei Yang, et al. · Geocarto International · 1,212

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

2011 · Dennis C. Duro, Steven E. Franklin, et al. · Remote Sensing of Environment · 991

Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains

2007 · Brian D. Wardlow, Stephen L. Egbert · Remote Sensing of Environment · 769

Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0)

2007 · Peter J. Lawrence, Thomas N. Chase · Journal of Geophysical Research Atmospheres · 685

Unmanned Aerial Vehicles in Agriculture: A Review of Perspective of Platform, Control, and Applications

2019 · Jeongeun Kim, Seungwon Kim, et al. · IEEE Access · 614

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Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping

2017 · Andrii Shelestov, Mykola Lavreniuk, et al. · Frontiers in Earth Science · 451

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Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms

2015 · Jinwei Dong, Xiangming Xiao, et al. · Remote Sensing of Environment · 391

The 10-m crop type maps in Northeast China during 2017–2019

2021 · Nanshan You, Jinwei Dong, et al. · Scientific Data · 380

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Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

2019 · Luo Liu, Xiangming Xiao, et al. · Remote Sensing of Environment · 376

Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery

2013 · Liheng Zhong, Peng Gong, et al. · Remote Sensing of Environment · 373

A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges

2021 · Nadia Delavarpour, Cengiz Koparan, et al. · Remote Sensing · 351

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Synergistic Use of Radar Sentinel-1 and Optical Sentinel-2 Imagery for Crop Mapping: A Case Study for Belgium

2018 · Kristof Van Tricht, Anne Gobin, et al. · Remote Sensing · 337

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Landsat Analysis Ready Data for Global Land Cover and Land Cover Change Mapping

2020 · Peter Potapov, Matthew C. Hansen, et al. · Remote Sensing · 295

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National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey

2017 · Xiao-Peng Song, Peter V. Potapov, et al. · Remote Sensing of Environment · 278

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DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping

2020 · Jinfan Xu, Yue Zhu, et al. · Remote Sensing of Environment · 268

Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil

2011 · Damien Arvor, Milton Jonathan, et al. · International Journal of Remote Sensing · 263

Crop type classification using a combination of optical and radar remote sensing data: a review

2019 · Aiym Orynbaikyzy, Ursula Gessner, et al. · International Journal of Remote Sensing · 259

Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA

2015 · Pengyu Hao, Yulin Zhan, et al. · Remote Sensing · 251

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Object- and pixel-based analysis for mapping crops and their agro-environmental associated measures using QuickBird imagery

2009 · Isabel Luisa Castillejo-González, Francisca López-Granados, et al. · Computers and Electronics in Agriculture · 247

Early-season mapping of winter wheat in China based on Landsat and Sentinel images

2020 · Jie Dong, Yangyang Fu, et al. · Earth system science data · 241

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Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review

2023 · Abhasha Joshi, Biswajeet Pradhan, et al. · Remote Sensing · 234

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Hyperspectral Remote Sensing of Vegetation and Agricultural Crops

2011 · Prasad Thenkabail, John Lyon, et al. · CRC Press eBooks · 229

Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources

2020 · Yuchuan Luo, Zhao Zhang, et al. · Environmental Research Letters · 224

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A Combined Random Forest and OBIA Classification Scheme for Mapping Smallholder Agriculture at Different Nomenclature Levels Using Multisource Data (Simulated Sentinel-2 Time Series, VHRS and DEM)

2017 · Valentine Lebourgeois, Stéphane Dupuy, et al. · Remote Sensing · 215

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Works count: 3,331

Citation count: 36,530