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Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project

Inbal Becker-Reshef, Chris Justice, Mark Sullivan, Eric Vermote, Compton Tucker, Assaf Anyamba, Jen Small, Ed Pak, Ed Masuoka, Jeff Schmaltz, Matthew Hansen, Kyle Pittman (+4 others)
2010 Remote Sensing  
This paper discusses the operational components and new developments of the GLAM monitoring system as well as the future role of earth observations in global agricultural monitoring.  ...  The Global Agriculture Monitoring Project (GLAM), a joint NASA, USDA, UMD and SDSU initiative, has built a global agricultural monitoring system that provides the USDA Foreign Agricultural Service (FAS  ...  Acknowledgements The Global Agricultural Monitoring Project is made possible through funding provided by the NASA Applied Science Program and the USDA Foreign Agricultural Service, grant code NNS06AA03A  ... 
doi:10.3390/rs2061589 fatcat:5npom4h4vvhp5djldopwuzsg3m

Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

Clement Atzberger
2013 Remote Sensing  
The paper starts with an overview of the main agricultural challenges. This section is followed by a brief overview of existing operational monitoring systems.  ...  The selected applications are put in the context of the global challenges the agricultural sector is facing: minimizing the environmental impact, while increasing production and productivity.  ...  system; Felix Rembold (JRC Ispra) for discussing the original manuscript; Zoltan Balint, Peris Muchiri and SWALIM at FAO Somalia (Nairobi) for contributions regarding the CDI drought index; and Anja Klisch  ... 
doi:10.3390/rs5020949 fatcat:yclqblcxgjeb3ha2ohdqnc4obe

Estimating Global Cropland Extent with Multi-year MODIS Data

Kyle Pittman, Matthew C. Hansen, Inbal Becker-Reshef, Peter V. Potapov, Christopher O. Justice
2010 Remote Sensing  
The results reflect the value of MODIS as a generic global cropland indicator for intensive agriculture production regions, but with little sensitivity in areas of low agricultural intensification.  ...  This study examines the suitability of 250 m MODIS (MODerate Resolution Imaging Spectroradiometer) data for mapping global cropland extent.  ...  Acknowledgements This study was made possible through funding provided by the NASA Applied Science Program and the USDA Foreign Agricultural Service via the Global Agriculture Monitoring (GLAM) project  ... 
doi:10.3390/rs2071844 fatcat:wwgjdpewxzh2jj4d7iaia43daq

Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study

Inbal Becker-Reshef, Belen Franch, Brian Barker, Emilie Murphy, Andres Santamaria-Artigas, Michael Humber, Sergii Skakun, Eric Vermote
2018 Remote Sensing  
uses them in combination with easily accessibly coarse spatial resolution remotely sensed time series data.  ...  Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges.  ...  As such, frequent observations are critical for effectively monitoring the crop's rapid development and state, which currently is only achieved by coarse spatial resolution sensors such as MODIS.  ... 
doi:10.3390/rs10101659 fatcat:scbqdepodzfpbgbjnifdiu4j5a

How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes?

Louise Leroux, Audrey Jolivot, Agnès Bégué, Danny Seen, Bernardin Zoungrana
2014 Remote Sensing  
) statistical data of agriculture and a sample of 55 very-high-resolution images.  ...  Accurate cropland maps at the global and local scales are crucial for scientists, government and nongovernment agencies, farmers and other stakeholders, particularly in food-insecure regions, such as Sub-Saharan  ...  Finally, the authors thank the AGRHYMET Center in Niamey for providing the agricultural statistics in Burkina Faso.  ... 
doi:10.3390/rs6098541 fatcat:rurkqp55abaaljgl5cw4mhstqm

An Automated Cropland Classification Algorithm (ACCA) for Tajikistan by Combining Landsat, MODIS, and Secondary Data

Prasad S. Thenkabail, Zhuoting Wu
2012 Remote Sensing  
The TCL statistics accurately matched with the national statistics of Tajikistan for irrigated and rainfed croplands, where about 70% of croplands were irrigated and the rest rainfed.  ...  The research contributes to the efforts of global food security through research on global croplands and their water use (e.g., https://powellcenter.usgs.gov/globalcroplandwater/).  ...  Finally, authors would also like to thank USGS John Wesley Powell Center for Analysis and Synthesis for funding the Working group on Global Croplands (WGGC).  ... 
doi:10.3390/rs4102890 fatcat:kvn2gsmjcbdrpapkqs64b27vau

USA Crop Yield Estimation with MODIS NDVI: Are Remotely Sensed Models Better Than Simple Trend Analyses?

David M. Johnson, Arthur Rosales, Richard Mueller, Curt Reynolds, Ronald Frantz, Assaf Anyamba, Ed Pak, Compton Tucker
2021 Remote Sensing  
This is facilitated through the Global Inventory Modeling and Mapping Studies/Global Agricultural Monitoring system, which provides open access to pertinent real-time normalized difference vegetation index  ...  Over the last decade though, satellite imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS) has been used to corroborate the survey information.  ...  Data The foundational dataset for this work is summarized time series NDVI data provided via the Global Agriculture Monitoring (GLAM) system [66] .  ... 
doi:10.3390/rs13214227 fatcat:74zanldd3bam7dwwtizrwc3xvy

A contemporary decennial examination of changing agricultural field sizes using Landsat time series data

Emma V. White, David P. Roy
2015 Geo: Geography and Environment  
Growing season cloud-free Landsat 30 m resolution images acquired from 9 to 25 years apart were used to extract field object classifications at seven sites located by examination of a global agricultural  ...  This study quantifies agricultural field size changes in a consistent manner using Landsat satellite data that also provide geographic context for the observed decadal scale changes.  ...  The Quickbird images were obtained from the NASA NGA commercial very-high resolution satellite data archive.  ... 
doi:10.1002/geo2.4 pmid:27669424 pmcid:PMC5020581 fatcat:fpdx6b6xnzbwrgcirfew4rzxgu

Automated cropping intensity extraction from isolines of wavelet spectra

Bingwen Qiu, Zhuangzhuang Wang, Zhenghong Tang, Chongcheng Chen, Zhanling Fan, Weijiao Li
2016 Computers and Electronics in Agriculture  
An overall accuracy of 88.9% is achieved when compared with in-situ observation data.  ...  At county level, the MODIS-derived sown areas and agricultural statistical data are well correlated (r 2 = 0.85).  ...  We also appreciate the anonymous reviewers from Computers and Electronics in Agriculture for their constructive comments.  ... 
doi:10.1016/j.compag.2016.04.015 fatcat:eb2dkytmhveubdphidtsg7boou

Single- and Multi-Date Crop Identification Using PROBA-V 100 and 300 m S1 Products on Zlatia Test Site, Bulgaria

Eugenia Roumenina, Clement Atzberger, Vassil Vassilev, Petar Dimitrov, Ilina Kamenova, Martin Banov, Lachezar Filchev, Georgi Jelev
2015 Remote Sensing  
The monitoring of crops is of vital importance for food and environmental security in a global and European context.  ...  The main goal of this study was to assess the crop mapping performance provided by the 100 m spatial resolution of PROBA-V compared to coarser resolution data (e.g., PROBA-V at 300 m) for a 2250 km 2 test  ...  We also thank Ilchovski for the assistance and ground collection information provided and the Ministry of Agriculture and Food (MAF) for the statistical data.  ... 
doi:10.3390/rs71013843 fatcat:7hovlartuncj3lmqjab2m55b2e

Assimilation of remote sensing into crop growth models: Current status and perspectives

Jianxi Huang, Jose L. Gómez-Dans, Hai Huang, Hongyuan Ma, Qingling Wu, Philip E. Lewis, Shunlin Liang, Zhongxin Chen, Jing-Hao Xue, Yantong Wu, Feng Zhao, Jing Wang (+1 others)
2019 Agricultural and Forest Meteorology  
The use of Earth Observation (EO) data allows crop monitoring at a range of spatial scales, but can be hampered by limitations in the data.  ...  Data assimilation (DA) provides a way of blending the monitoring properties of EO data with the predictive and explanatory abilities of crop growth models.  ...  ST/N006798/ 1), and NERC National Centre for Earth Observation (NCEO) (Project No. PR140015) and the European Commission H2020 MULTIPLY project (Project No. 687320).  ... 
doi:10.1016/j.agrformet.2019.06.008 fatcat:suuzc3dcujge5go5wfmnkj4x3i

Satellite imagery and household survey for tracking chickpea adoption in Andhra Pradesh, India

Murali Krishna Gumma, Kumara Charyulu Deevi, Irshad A. Mohammed, Rajeev K. Varshney, Pooran Gaur, Anthony M. Whitbread
2016 International Journal of Remote Sensing  
Significant growth in the chickpea-growing areas was observed in the four districts of Andhra Pradesh between 2001 and 2012.  ...  A subset of ground survey information was also used to assess the pixel-based accuracies of the MODIS-derived major cropland extent.  ...  Disclosure statement No potential conflict of interest was reported by the authors.  ... 
doi:10.1080/01431161.2016.1165889 fatcat:3h4tw6owsbg4ncitlvjkeo5o3i

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
Co-Sponsoring Organisations Delivered with the support of Scottish Enterprise Cooperating Organisations 3A  ...  The symposium, like our other conferences and activities, would not be possible without the dedicated contribution of our participants and members.  ...  We analyze the strength of the background subtracted correlations by applying EPR criterion, finding a strong violation that is in good agreement with the theoretical predictions.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

A comparison of global agricultural monitoring systems and current gaps

Steffen Fritz, Linda See, Juan Carlos Laso Bayas, François Waldner, Damien Jacques, Inbal Becker-Reshef, Alyssa Whitcraft, Bettina Baruth, Rogerio Bonifacio, Jim Crutchfield, Felix Rembold, Oscar Rojas (+11 others)
2019
This paper provides an overview of the eight main global and regional scale agricultural monitoring systems currently in operation and compares them based on the input data and models used, the outputs  ...  Global and regional scale agricultural monitoring systems aim to provide up-to-date information regarding food production to different actors and decision makers in support of global and national food  ...  Acknowledgements This work was partly financed by the SIGMA (Stimulating Innovation for Global Monitoring of Agriculture; http://www.geoglam-sigma.info/) project, which received funding from the European  ... 
doi:10.5445/ir/1000104960 fatcat:cqgd3sactfevhat7bml4xitvcy

Agriculture in West Africa in the Twenty-First Century: Climate Change and Impacts Scenarios, and Potential for Adaptation

Benjamin Sultan, Marco Gaetani
2016 Frontiers in Plant Science  
of Earth System vegetation 24 models in which they account for tropical croplands. 30 2011).  ...  signal growing proportionally with the projected global warming.  ... 
doi:10.3389/fpls.2016.01262 pmid:27625660 pmcid:PMC5004487 fatcat:vs4pekv7xveldmgsrrksynbiqu
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