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GEOGLAM (GEO Global Agricultural Monitoring) Crop Assessment Tool

The Group on Earth Observations, a partnership of governments and international organizations, developed the Global Agricultural Monitoring (GEOGLAM) initiative in response to the growing calls for improved agricultural information. The goal of GEOGLAM is to strengthen the international community’s capacity to produce and disseminate relevant, timely and accurate forecasts of agricultural production at national, regional and global scales through the use of Earth Observations (EO), which include satellite and ground-based observations. This initiative is designed to build on existing agricultural monitoring programs and initiatives at national, regional and global levels and to enhance and strengthen them through international networking, operationally focused research, and data/method sharing.

The GEOGLAM Crop Monitor provides the Agricultural Market Information System (AMIS) with an international and transparent multi-source, consensus assessment of crop growing conditions, status, and agro-climatic conditions, likely to impact global production. This activity covers the four primary crop types (wheat, maize, rice, and soy) within the main agricultural producing regions of the AMIS countries. These assessments have been produced operationally since September 2013 and are published in the AMIS Market Monitor Bulletin. The Crop Monitor reports provide cartographic and textual summaries of crop conditions as of the 28th of each month, according to crop type.

Sources and Disclaimers: The Crop Monitor assessment is conducted by GEOGLAM with coordination from the University of Maryland. Inputs are from the following partners (in alphabetical order): Argentina (Buenos Aires Grains Exchange, INTA), Asia Rice Countries (AFSIS, ASEAN+3 & Asia RiCE), Australia (ABARES & CSIRO), Brazil (CONAB & INPE), Canada (AAFC), China (CAS), EU (EC JRC MARS), Indonesia (LAPAN & MOA), International (CIMMYT, FAO, IFPRI & IRRI), Japan (JAXA ), Mexico (SIAP), Russian Federation (IKI), South Africa (ARC & GeoTerraImage & SANSA), Thailand (GISTDA & OAE), Ukraine (NASU-NSAU & UHMC), USA (NASA, UMD, USGS – FEWS NET, USDA (FAS, NASS)), Viet nam (VAST & VIMHE-MARD). The findings and conclusions in this joint multi-agency report are consensual statements from the GEOGLAM experts, and do not necessarily reflect those of the individual agencies represented by these experts. Map data sources: Major crop type areas based on the IFPRI/IIASA SPAM 2005 beta release (2013), USDA/NASS 2013 CDL, 2013 AAFC Annual Crop Inventory Map, GLAM/UMD, GLAD/UMD, Australian Land Use and Management Classification (Version 7), SIAP, ARC, and JRC. The GEOGLAM crop calendars are compiled with information from AAFC, ABARES, ARC, Asia RiCE, Bolsa de cereales, CONAB, INPE, JRC, FAO, FEWS NET, IKI, INTA, SIAP, UHMC, USDA FAS, and USDA NASS.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Authors
Becker-Reshef, Inbal
Product Type
Software Tool
Spatial / Geographical Coverage Location
Global
Temporal Coverage
2013-08/
Frequency
Monthly
Contact Name
Becker-Reshef, Inbal
Contact Email
Public Access Level
Public
Primary Article

Justice, C; Becker-Reshef, I; McGaughey, K; Hansen, M; Whitcraft, A; Barker, B.; Humber, M.; Deshayes, M., “Enhancing Agricultural Monitoring with EO-based Information” http://www.apogeospatial.com/issues/AO_wi2015.pdf

Related Article

Becker-Reshef, I., Justice, C. O., Vermote, E., Whitcraft, A. K., & Claverie, M. (2013). International global crop condition assessments in the framework of GEOGLAM. Abstract B33L-01 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec.

Methods Citation

Humber, M. L., Becker-Reshef, I., Nordling, J., Barker, B., & McGaughey, K. (2014). GEOGLAM Crop Assessment Tool: Adapting from global agricultural monitoring to food security monitoring. Abstract B33C-0197 presented at 2014 Fall Meeting, AGU, San Francisco, Calif., 15-19 Dec.

License
Funding Source(s)
University of Maryland
U.S. Department of Agriculture
Dataset DOI (digital object identifier)
10.15482/USDA.ADC/1234202
Modified Date
2017-05-10
Release Date
2015-08-27
Ag Data Commons Keywords: 
  • Plants & Crops
  • Crop production
  • Agroecosystems & Environment
  • Weather and Climate
  • Maps & Multimedia
National Agricultural Library Thesaurus Term: