Review of Overseas Crop Monitoring Systems with Remote Sensing
Received date: 2010-06-22
Revised date: 2010-08-30
Online published: 2010-10-10
Dependable information on large-area agricultural production and production estimation are essential for agricultural markets and the formulation of national and international agricultural policies. It can provide information and technical support for regional or global food security. Factors like worldwide climate change, increasing population and fast changes in land use/cover make the need more urgent. Traditional collection of crop information depends on huge in-situ investigation, which is expensive, time consuming and vulnerable to subjective difference. Along with the development in remote sensing technology and its application to crop information acquirement, some operational crop monitoring systems were developed and put into operation by several countries and international organizations. The development of major crop monitoring systems worldwide (United States, Europe, FAO, Canada, Brazil, Argentina, Russia and India) was reviewed and introduced in detail. The paper points out that the crop acreage estimation, crop yield prediction, crop condition monitoring and drought monitoring are the four primary themes in remote sensing based crop monitoring. In crop acreage monitoring, along with the development of remote sensing technology, the dependence of these systems on field survey has not been reduced, or even increased for some reasons. This is against the primary intention of remote sensing application: to reduce or substitute field survey. The potential of remote sensing in large-area crop monitoring has not been fully exerted. Independent crop yield predicting method with remote sensing is also in great need. How to increase the role of remote sensing will be the major direction for the development of remote sensing based crop monitoring systems.
Key words: Crop information; Remote sensing; System
Wu Bingfang, Meng Jihua, Li Qiangzi . Review of Overseas Crop Monitoring Systems with Remote Sensing[J]. Advances in Earth Science, 2010 , 25(10) : 1003 -1012 . DOI: 10.11867/j.issn.1001-8166.2010.10.1003
[1] FAO. 1.02 billion starving people worldwide, U.N. says[EB/OL]. http://www.news-medical.net/news/20090623/102-billion-starving-people-worldwide-UN-says.aspx,2009.
[2] 郑国光. 科学应对全球变暖 提高粮食安全保障能力[EB/OL].http://www.gov.cn/gzdt/ 2009-12/01/content_1477574.htm,2009.
[3] Khabir Ahmad. Global population will increase to nine billion by 2050. UN report[J].The Lancet, 2001, 357(9 259): 864.
[4] GEO. Developing a Strategy for Global Agriculturel Monitoring in the Frame Work of Group on Earth Observations (GEO) Workshop Report [R]. 2007.
[5] Meng Jihua, Wu Bingfang, Li Qiangzi, et al. Research advances and outlook of crop monitoring with remote sensing at field level[J].Remote Sensing Information, 2010, (3):134-140.[蒙继华,吴炳方,李强子,等. 农田农情参数遥感监测进展及应用展望[J].遥感信息, 2010, (3):134-140.]
[6] Li Deren. Towards photogrammetry and remote sensing:Status and future development[J].Journal of Wuhan Technical University of Surveying and Mapping,2000,25(1): 1-5.[李德仁. 摄影测量与遥感的现状及发展趋势[J].武汉测绘科技大学学报,2000,25(1): 1-5.]
[7] Macdonald R B. The LACIE symposium[C]// Lyndon B, ed. Johnson Space Center, National Aeronautics and Space Administration. Houston: NASA,1979.
[8] Hallum C R. Experiment design overview[C]// Proceedings of the Large Area Crop Inventory Experiment (LACIE)Symposium. Houston, Texas: NASA/JSC,1978.
[9] U.S. Department of Agriculture. AgRISTARS Preliminary Technical Program Plan[R]. 1979.
[10] Yates H W, Tarpley J D, Schneider S R, et al. The role of meteorological satellites in agricultural remote sensing[J].Remote Sensing of Environment,1984, 14:219-233.
[11] Kleweno D D, Miller C E. 1980 AgRISTARS DC/LC Project Summary: Crop Area Estimates for Kansas and Iowa[R]. ESS staff report-U.S. Dept. of Agriculture, Economics and Statistics Service.1981. (AGESS810414), 18.
[12] Genovese G. Methodology of the MARS Crop Yield Forecasting System[R]. 2004,114,EUR-report 21291 EN.
[13] Baruth B, Royer A, Genovese G, et al. The use of remote sensing within the MARS crop yield monitoring system of the European commission[C]//ISPRS Archives ‘Remote Sensing Applications for a Sustainable Future’,2006,Vol. XXXVI, Part 8.
[14] USDA FAS. GLAM-Global Agricultural Monitoring [EB/OL]. http://www.pecad.fas.usda.gov/glam.cfm,2005.
[15] Wu Bingfang. China crop watch system with remote sensing[J].Journal of Remote sensing,2004,8(6):482-496.[吴炳方.中国农情遥感速报系统[J].遥感学报,2004,8(6):482-496.]
[16] USDA FAS. Production, Supply and distribution online[EB/OL]. http://www.fas.usda.gov/psdonline/, 2007.
[17] USDA FAS, The FAS crop explorer: A web success story[EB/OL]. http://www.fas.usda.gov/info/fasworldwide/2005/06-2005, 2005.
[18] USDA NASS. History of remote sensing for crop acreage[EB/OL]. http://www.nass.usda.gov/surveys/remotely_sensed_data_crop_acreage/index.asp,2009.
[19] USDA NASS. Cropland data layer[EB/OL]. http://www.nass.usda.gov/research/cropland/SARS1a.htm,2010.
[20] FAO. Famine early warning system network[EB/OL]. http://www.fews.net/pages/default.aspx, 2010.
[21] USDA NASS. Limited use for crop condition and crop yield[EB/OL]. http://www.nass.usda.gov/surveys/remotely_sensed_data_crop_yield/index.asp,2009.
[22] USGS. EROS early warning and environmental monitoring program[EB/OL]. http://earlywarning.usgs.gov/?l=en, 2010.
[23] EC JRC. The monitoring agricultural resources[EB/OL]. http://mars.jrc.ec.europa.eu, 2010.
[24] EC JRC. MARS unit-about us[EB/OL]. http://mars.jrc.it/mars/About-us, 2010.
[25] EC. GMES info [EB/OL]. http://www.gmes.info/, 2010.
[26] EC JRC. MARSOP introduction[EB/OL]. http://www.marsop.info, 2010.
[27] ESA. GMES Services Element (GSE) [EB/OL]. http://www.esa.int/esaLP/SEM2UV2IU7E_LPgmes_0.html, 2006.
[28] EC JRC. The Crop Growth Monitoring System (CGMS) [EB/OL]. http://mars.jrc.it/mars/About-us/AGRI4CAST/Crop-yield-forecast/The-Crop-Growth-Monitoring-System-CGMS,2010.
[29] Bochenek Z. Operational use of NOAA data for crop condition assessment in Poland[C]//EARSeL Symposium on Remote Sensing in the 21st Century: Economic and Environmental Applications. Valladolid, 1999 (in Anglais).
[30] Dabrowska-Zielinska K, Kogan F, Ciolkosz A, et al. Modeling of crop growth conditions and crop yield in Poland using AVHRR-based indices[J].International Journal of Remote Sensing,2002, 23(6):1 109-1 123.
[31] Aleksandra Bujakiewicz, Jozef Jachimski, Romuald Kaczynski. The Polish National Report for Photogrammetry and Remote Sensing 2000-2004[R]. XX ISPRS Congress in Istanbul, 2004.
[32] Zsuzsanna Suba , Gábor Csornai, Csaba Wirnhardt, et al. The Remote Sensing Based Hungarian Crop Production Forecast Program (Cropmon) and Its Other Applications[M]. Springer Berlin Heidelberg, Cartography in Central and Eastern Europe, 2010.
[33] Csornai G. CROPMON: Hungarian crop production forecast by remote sensing[C]//ISPRS Archives XXXVI-8/W48 Workshop proceedings. Remote Sensing Support to Crop Yield Forecast and Area Estimates. Commission VIII, WG VIII/10, Stresa, Italy,2006,36(8/W48).
[34] Martino L. The Agrit System for Short-term Estimates in Agriculture: A Project for 2004[R]. Polish Seminar: Information Systems in Agriculture. Krakow,2003.
[35] Giovacchini A,Brunetti A. Agricultural statistics by remote sensing in Italy: An ultimate cost analysis[C]//Conference on the Application of Remote Sensing to Agricultural Statistics. Belgirate. Office for Publications of the E.C. Luxembourg,1992.
[36] FAO, Global information and early warning system[EB/OL]. http://www.fao.org/WAICENT/faoinfo/economic/giews/english/index.htm, 2010.
[37] Hielkema J U, Snijders F L. Operational use of environmental satellite remote sensing and satellite communications technology for global food security and locust control by FAO: The ARTEMIS and DIANA systems[J].Acta Astronautica,1994, 32(9):603-616.
[38] FAO, WinDisp3.5 user′s manual [EB/OL]. http://www.fao.org/giews/english/windisp/manuals/WD35EN41.htm,1999.
[39] FAO, WinDisp-Map and Image Display and Analysis Software [EB/OL]. http://www.fao.org/giews/english/windisp/dl.htm,2003.[40] Food insecurity and vulnerability information and mapping systems. FIVIMS-better information for targeted action in hunger reduction[EB/OL]. http://www.fivims.org/, 2009.
[41] Statistics Canda. Overview of the crop condition assessment program[EB/OL]. http://www26.statcan.ca/ccap/overview-apercu-eng.jsp,2010.
[42] CONAB, GEOSAFRAS[EB/OL]. http://www.conab.gov.br/conabweb/index.php?PAG=81,2010.
[43] MinAgri-Argentina[EB/OL]. http://www.minagri.gob.ar/,2010.
[44] CONAE, Argentina on space[EB/OL]. http://www.en.argentina.ar/_en/science-and-education/C1477-argentina-on-space. php,2009.
[45] http://www.agrocosmos.gvc.ru/,2010.
[46] National Crop Forecasting Centre (NCFC)[EB/OL]. http://dacnet.nic.in/eands/ncfc/ncfc.htm,2010.
[47] Crop acreage and production estimation[EB/OL]. http://dacnet.nic.in/eands/cape.htm,2010.
[48] Patil V C, Ajit Maru, Shashidhara G B, et al. Remote sensing, geographical information system and precision farming in India: Opportunities and challenges[C]//Asian Agricultural Information Technology & Management. Proceedings of the Third Asian Conference for Information Technology in Agriculture (CAAS, AFITA), Beijing,2002.
[49] Indian space research organisation, forecasting of agriculture outputs through satellite, agrometeorology and land based observations (FASAL) [EB/OL].http://www.isro.org/scripts/rsa_fasal.aspx, 2010.
/
〈 |
|
〉 |