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Original Articles

A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas

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Pages 805-830 | Received 12 Dec 2008, Accepted 16 Mar 2009, Published online: 23 Feb 2010

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Crossref
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Crossref
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Crossref
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Crossref
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Crossref
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Crossref
Aparna R. Phalke & Mutlu Özdoğan. (2018) Large area cropland extent mapping with Landsat data and a generalized classifier. Remote Sensing of Environment 219, pages 180-195.
Crossref
Yaoliang Chen, Dengsheng Lu, Emilio Moran, Mateus Batistella, Luciano Vieira Dutra, Ieda Del’Arco Sanches, Ramon Felipe Bicudo da Silva, Jingfeng Huang, Alfredo José Barreto Luiz & Maria Antonia Falcão de Oliveira. (2018) Mapping croplands, cropping patterns, and crop types using MODIS time-series data. International Journal of Applied Earth Observation and Geoinformation 69, pages 133-147.
Crossref
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Crossref
Hua Shi, Roger F. Auch, James E. Vogelmann, Min Feng, Matthew Rigge, Gabriel Senay & James P. Verdin. (2018) Case Study Comparing Multiple Irrigated Land Datasets in Arizona and Colorado, USA. JAWRA Journal of the American Water Resources Association 54:2, pages 505-526.
Crossref
Mykola Lavreniuk, Nataliia Kussul & Alexei Novikov. (2018) Deep Learning Crop Classification Approach Based on Coding Input Satellite Data Into the Unified Hyperspace. Deep Learning Crop Classification Approach Based on Coding Input Satellite Data Into the Unified Hyperspace.
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Crossref
Nemanja Vagić. (2018) Comparative analysis of NDVI index and different satellite images classifications in determination the vegetation inventory of Vrčin settlement. Zbornik radova - Geografski fakultet Univerziteta u Beogradu:66-2, pages 63-83.
Crossref
Y. Shao, J. Ren & J.B. Campbell. 2018. Comprehensive Remote Sensing. Comprehensive Remote Sensing 29 38 .
Swapna Mahanand & Mukunda Dev Behera. (2017) Relationship Between Field-Based Plant Species Richness and Satellite-Derived Biophysical Proxies in the Western Ghats, India. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 87:4, pages 927-939.
Crossref
Jianbin Tao, Wenbin Wu & Wenbin Liu. (2017) Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001–2015. Sensors 17:11, pages 2622.
Crossref
Yeseul Kim, No-Wook Park & Kyung-Do Lee. (2017) Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps. Remote Sensing 9:9, pages 921.
Crossref
François Waldner & Pierre Defourny. (2017) Where can pixel counting area estimates meet user-defined accuracy requirements?. International Journal of Applied Earth Observation and Geoinformation 60, pages 1-10.
Crossref
Zhi Yang, Yun Shao, Kun Li, Qingbo Liu, Long Liu & Brian Brisco. (2017) An improved scheme for rice phenology estimation based on time-series multispectral HJ-1A/B and polarimetric RADARSAT-2 data. Remote Sensing of Environment 195, pages 184-201.
Crossref
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Crossref
Mohamed Elhag & Jarbou A. Bahrawi. (2017) Soil salinity mapping and hydrological drought indices assessment in arid environments based on remote sensing techniques. Geoscientific Instrumentation, Methods and Data Systems 6:1, pages 149-158.
Crossref
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Crossref
Bora Lee, Hyojung Kwon, Akira Miyata, Steve Lindner & John Tenhunen. (2016) Evaluation of a Phenology-Dependent Response Method for Estimating Leaf Area Index of Rice Across Climate Gradients. Remote Sensing 9:1, pages 20.
Crossref
Yang Shao, Gregory N. Taff, Jie Ren & James B. Campbell. (2016) Characterizing major agricultural land change trends in the Western Corn Belt. ISPRS Journal of Photogrammetry and Remote Sensing 122, pages 116-125.
Crossref
Pinki Mondal, Meha Jain, Mateusz Zukowski, Gillian Galford & Ruth DeFries. (2016) Quantifying fluctuations in winter productive cropped area in the Central Indian Highlands. Regional Environmental Change 16:S1, pages 69-82.
Crossref
Gudina Legese Feyisa, Leo Palao, Andy Nelson, Khin Thawda Win, Kin Nge Htar, Murali Krishna Gumma & David E. Johnson. (2016) RETRACTED: <i>A Participatory Iterative Mapping Approach and Evaluation of Three Machine Learning Algorithms for Accurate Mapping of Cropping Patterns in a Complex Agro-Ecosystems</i>. Advances in Remote Sensing 05:01, pages 1-17.
Crossref
Miro Govedarica, Dušan Jovanović, Filip Sabo, Mirko Borisov, Milan Vrtunski & Ivan Alargić. (2016) Comparison of MODIS 250 m products for early corn yield predictions: a case study in Vojvodina, Serbia. Open Geosciences 8:1.
Crossref
Sofanit Araya, Greg Lyle, Megan Lewis & Bertram Ostendorf. (2016) Phenologic metrics derived from MODIS NDVI as indicators for Plant Available Water-holding Capacity. Ecological Indicators 60, pages 1263-1272.
Crossref
M.A. Peña & A. Brenning. (2015) Assessing fruit-tree crop classification from Landsat-8 time series for the Maipo Valley, Chile. Remote Sensing of Environment 171, pages 234-244.
Crossref
Kathryn Sheffield, Elizabeth Morse-McNabb, Rob Clark, Susan Robson & Hayden Lewis. (2015) Mapping dominant annual land cover from 2009 to 2013 across Victoria, Australia using satellite imagery. Scientific Data 2:1.
Crossref
Kenneth L. Dudley, Philip E. Dennison, Keely L. Roth, Dar A. Roberts & Austin R. Coates. (2015) A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients. Remote Sensing of Environment 167, pages 121-134.
Crossref
Andrej Halabuk, Matej Mojses, Marek Halabuk & Stanislav David. (2015) Towards Detection of Cutting in Hay Meadows by Using of NDVI and EVI Time Series. Remote Sensing 7:5, pages 6107-6132.
Crossref
Pengyu Hao, Yulin Zhan, Li Wang, Zheng Niu & Muhammad Shakir. (2015) Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA. Remote Sensing 7:5, pages 5347-5369.
Crossref
Zhoupeng Ren, Duoquan Wang, Jimee Hwang, Adam Bennett, Hugh J. W. Sturrock, Aimin Ma, Jixia Huang, Zhigui Xia, Xinyu Feng & Jinfeng Wang. (2015) Spatial-Temporal Variation and Primary Ecological Drivers of Anopheles sinensis Human Biting Rates in Malaria Epidemic-Prone Regions of China. PLOS ONE 10:1, pages e0116932.
Crossref
Benewinde Zoungrana, Christopher Conrad, Leonard Amekudzi, Michael Thiel & Evariste Da. (2014) Land Use/Cover Response to Rainfall Variability: A Comparing Analysis between NDVI and EVI in the Southwest of Burkina Faso. Climate 3:1, pages 63-77.
Crossref
Fabian Löw & Grégory Duveiller. (2014) Defining the Spatial Resolution Requirements for Crop Identification Using Optical Remote Sensing. Remote Sensing 6:9, pages 9034-9063.
Crossref
Mohamed E. Hereher. (2014) The Lake Manzala of Egypt: an ambiguous future. Environmental Earth Sciences 72:6, pages 1801-1809.
Crossref
Priyadarshi Upadhyay, S. K. Ghosh & Anil Kumar. (2014) Entropy based noise clustering soft classification method for identification of wheat crop using time series MODIS data. Entropy based noise clustering soft classification method for identification of wheat crop using time series MODIS data.
Juliana S. dos Santos, Denise C. Fontana, Thiago S. F. Silva & Bernardo F. T. Rudorff. (2014) Identificação da dinâmica espaço-temporal para estimar área cultivada de soja a partir de imagens MODIS no Rio Grande do Sul. Revista Brasileira de Engenharia Agrícola e Ambiental 18:1, pages 54-63.
Crossref
Christopher Conrad, Maren Rahmann, Miriam Machwitz, Galina Stulina, Heiko Paeth & Stefan Dech. (2013) Satellite based calculation of spatially distributed crop water requirements for cotton and wheat cultivation in Fergana Valley, Uzbekistan. Global and Planetary Change 110, pages 88-98.
Crossref
Priyadarshi Upadhyay, S.K. Ghosh & Anil Kumar. (2013) Moist deciduous forest identification using temporal MODIS data — A comparative study using fuzzy based classifiers. Ecological Informatics 18, pages 117-130.
Crossref
Fuqun Zhou, Aining Zhang & Lawrence Townley-Smith. (2013) A data mining approach for evaluation of optimal time-series of MODIS data for land cover mapping at a regional level. ISPRS Journal of Photogrammetry and Remote Sensing 84, pages 114-129.
Crossref
Mohamed E. Hereher. (2013) The status of Egypt’s agricultural lands using MODIS Aqua data. The Egyptian Journal of Remote Sensing and Space Science 16:1, pages 83-89.
Crossref
O. Sus, M. W. Heuer, T. P. Meyers & M. Williams. (2013) A data assimilation framework for constraining upscaled cropland carbon flux seasonality and biometry with MODIS. Biogeosciences 10:4, pages 2451-2466.
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V.I. Kharuk, K.J. Ranson, P.A. Oskorbin, S.T. Im & M.L. Dvinskaya. (2013) Climate induced birch mortality in Trans-Baikal lake region, Siberia. Forest Ecology and Management 289, pages 385-392.
Crossref
M.J. Pringle, R.J. Denham & R. Devadas. (2012) Identification of cropping activity in central and southern Queensland, Australia, with the aid of MODIS MOD13Q1 imagery. International Journal of Applied Earth Observation and Geoinformation 19, pages 276-285.
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Jennifer D. Watts, Scott L. Powell, Rick L. Lawrence & Thomas Hilker. (2011) Improved classification of conservation tillage adoption using high temporal and synthetic satellite imagery. Remote Sensing of Environment 115:1, pages 66-75.
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