{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T20:06:07Z","timestamp":1776715567617,"version":"3.51.2"},"reference-count":26,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2010,6,18]],"date-time":"2010-06-18T00:00:00Z","timestamp":1276819200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In recent years there has been a dramatic increase in the demand for timely, comprehensive global agricultural intelligence. Timely information on global crop production is indispensable for combating the growing stress on the world\u2019s crop production and for securing both short-term and long-term stable and reliable supply of food. Global agriculture monitoring systems are critical to providing this kind of intelligence and global earth observations are an essential component of an effective global agricultural monitoring system as they offer timely, objective, global information on croplands distribution, crop development and conditions as the growing season progresses. 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) with timely, easily accessible, scientifically-validated remotely-sensed data and derived products as well as data analysis tools, for crop-condition monitoring and production assessment. This system is an integral component of the USDA\u2019s FAS Decision Support System (DSS) for agriculture. It has significantly improved the FAS crop analysts\u2019 ability to monitor crop conditions, and to quantitatively forecast crop yields through the provision of timely, high-quality global earth observations data in a format customized for FAS alongside a suite of data analysis tools. FAS crop analysts use these satellite data in a \u2018convergence of evidence\u2019 approach with meteorological data, field reports, crop models, attach\u00e9 reports and local reports. The USDA FAS is currently the only operational provider of timely, objective crop production forecasts at the global scale. These forecasts are routinely used by the other US Federal government agencies as well as by commodity trading companies, farmers, relief agencies and foreign governments. 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.<\/jats:p>","DOI":"10.3390\/rs2061589","type":"journal-article","created":{"date-parts":[[2010,6,18]],"date-time":"2010-06-18T11:39:22Z","timestamp":1276861162000},"page":"1589-1609","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":240,"title":["Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project"],"prefix":"10.3390","volume":"2","author":[{"given":"Inbal","family":"Becker-Reshef","sequence":"first","affiliation":[{"name":"Geography Department, University of Maryland, College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Justice","sequence":"additional","affiliation":[{"name":"Geography Department, University of Maryland, College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark","family":"Sullivan","sequence":"additional","affiliation":[{"name":"Geography Department, University of Maryland, College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Vermote","sequence":"additional","affiliation":[{"name":"Geography Department, University of Maryland, College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Compton","family":"Tucker","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Assaf","family":"Anyamba","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jen","family":"Small","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ed","family":"Pak","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ed","family":"Masuoka","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeff","family":"Schmaltz","sequence":"additional","affiliation":[{"name":"NASA Goddard Space and Flight Center (GSFC), Greenbelt, MD 20771, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Hansen","sequence":"additional","affiliation":[{"name":"Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD 57007, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyle","family":"Pittman","sequence":"additional","affiliation":[{"name":"Geographic Information Science Center of Excellence, South Dakota State University, Brookings, SD 57007, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charon","family":"Birkett","sequence":"additional","affiliation":[{"name":"Earth System Science Interdisciplinary Center (ESSIC) University of Maryland Research Park (M-Square), College Park, MD 20742, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derrick","family":"Williams","sequence":"additional","affiliation":[{"name":"Foreign Agricultural Service, US Department of Agriculture, Washington, DC 20250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Curt","family":"Reynolds","sequence":"additional","affiliation":[{"name":"Foreign Agricultural Service, US Department of Agriculture, Washington, DC 20250, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bradley","family":"Doorn","sequence":"additional","affiliation":[{"name":"NASA Head Quarters, Washington, DC 20546-0001, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2010,6,18]]},"reference":[{"key":"ref_1","unstructured":"Justice, C., Becker-Reshef, I., Parihar, J.S., DeLince, J., Leo, O., Binfang, W., Defourny, P., Townshend, J.T., and Fan, J. The GEO Global Agricultural Monitoring System of Systems Task: An overview. 33rd International Symposium on Remote Sensing of Environment."},{"key":"ref_2","unstructured":"UN FAO (2005). Assessment of the World Food Security, FAO, UN. Report by the Committee on World Food Security from the Thirty First Session."},{"key":"ref_3","first-page":"24","article-title":"NASA\u2019s contribution to the Group on Earth Observations (GEO) Global Agricultural Monitoring System of Systems","volume":"21","author":"Justice","year":"2009","journal-title":"NASA Earth Observer"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1126\/science.208.4445.670","article-title":"Global crop forecasting","volume":"208","author":"Macdonald","year":"1980","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"615","DOI":"10.14358\/PERS.69.6.615","article-title":"The agricultural research service\u2019s remote sensing program: An example of interagency collaboration","volume":"69","author":"Pinter","year":"2003","journal-title":"Photogramm. Eng. Remote Sensing"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S0034-4257(70)80021-9","article-title":"Physical and physiological basis for the reflection of visible and near-infrared radiation from vegetation","volume":"1","author":"Knipling","year":"1970","journal-title":"Remote Sens. Environ."},{"key":"ref_7","first-page":"471","article-title":"Pattern recognition of soils and crops from space","volume":"41","author":"Leamer","year":"1975","journal-title":"Photogramm. Eng. Remote Sensing"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.1364\/JOSA.58.001023","article-title":"Interaction of light with a plant canopy","volume":"58","author":"Allen","year":"1968","journal-title":"J. Opt. Soc. Amer."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"S117","DOI":"10.2134\/agronj2006.0370c","article-title":"Application of spectral remote sensing for agronomic decisions","volume":"100","author":"Hatfield","year":"2008","journal-title":"Agron. J."},{"key":"ref_10","first-page":"5","article-title":"LACIE: An experiment in global crop forecasting","volume":"31","author":"Bauer","year":"1979","journal-title":"Crops Soils Mag."},{"key":"ref_11","unstructured":"USDA (2007). A Guide to USDA\u2019s International Programs, Available online: www.csrees.usda.gov\/nea\/international\/pdfs\/vis_guide.pdf."},{"key":"ref_12","unstructured":"USDA FAS The Foreign Agricultural Service, Available online: http:\/\/www.fas.usda.gov\/aboutfas.asp."},{"key":"ref_13","unstructured":"Reynolds, C.A. (,  2001). Input data sources, climate normals, crop models, and data extraction routines utilized by PECAD. Third International Conference on Geospatial Information in Agriculture and Forestry, Denver, CO, USA."},{"key":"ref_14","unstructured":"USDA FAS GLAM-Global Agricultural Monitoring, Available online: http:\/\/www.pecad.fas.usda.gov\/glam.cfm."},{"key":"ref_15","unstructured":"Kaupp, V., Hutchinson, C., Drake, S., Haithcoat, T., Leeuwen, W.V., Likholetov, V., Tralli, D., and Doorn, B. (2007). Benchmarking the USDA OGA DSS: A PECAD Update."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/S0034-4257(02)00089-5","article-title":"Atmospheric correction of MODIS data in the visible to middle infrared: first results","volume":"83","author":"Vermote","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_17","unstructured":"Bange, G., USDA World Agricultural Outlook Board, and Williams, D. World Agricultural Production, Available online: http:\/\/www.fas.usda.gov\/wap\/circular\/2009\/09-01\/productionfull01-09.pdf."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/S0034-4257(02)00076-7","article-title":"The MODIS fire products","volume":"83","author":"Justice","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"26","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1109\/TGRS.2008.2005977","article-title":"Towards a Generalized Approach for Correction of the BRDF Effect in MODIS Directional Reflectances","volume":"47","author":"Vermote","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Pittman, K.W., Hansen, M.C., Becker-Reshef, I., Potapov, P.V., and Justice, C.O. (2010). Estimating global cropland extent with multiyear MODIS data. Remote Sens., submitted.","DOI":"10.3390\/rs2071844"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/BF00058655","article-title":"Bagging predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Mach Learn"},{"key":"ref_23","unstructured":"Justice, C., and Becker-Reshef, I. (2007). Report from the Workshop on Developing a Strategy for Global Agricultural Monitoring in the framework of Group on Earth Observations (GEO) 16\u201318 July 2007, FAO, Rome, University of Maryland."},{"key":"ref_24","first-page":"194","article-title":"Evaluation and use of Resourcesat-1 data for agricultural applications","volume":"10","author":"Oza","year":"2008","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_25","first-page":"206","article-title":"Utilization of Resourcesat-1 data for improved crop discrimination","volume":"10","author":"Sai","year":"2008","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1654","DOI":"10.2134\/agronj2007.0170","article-title":"Corn and soybean mapping in the united states using MODN time-series data sets","volume":"99","author":"Chang","year":"2007","journal-title":"Agron. J."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/2\/6\/1589\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:02:44Z","timestamp":1760220164000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/2\/6\/1589"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,6,18]]},"references-count":26,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2010,6]]}},"alternative-id":["rs2061589"],"URL":"https:\/\/doi.org\/10.3390\/rs2061589","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,6,18]]}}}