Internet Rice Information Service (IRIS)

<body topmargin=0 leftmargin=0 marginheight=0 marginwidth=0> <table cellpadding=0 cellspacing=0 border=0><tr> <td valign="top" rowspan="2" width=210 BGCOLOR="#99CC99" TEXT="#080000" bgproperties="fixed" background="1948dfc3.jpg"> <div> <B><IMG SRC="1fdb56c0.gif" border=0 width="181" height="108" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></B></div> <bR> <div> <A HREF="index.htm" TARGET="_top" TITLE="EnvironmentEcologyForestry"><U><B>Return to Home</B></U></A></div> <div> <A HREF="id8.htm" TARGET="_top" TITLE="Trust and Mission"><U><B>Trust and Mission</B></U></A></div> <div> <A HREF="id33.htm" TARGET="_top" TITLE="Resource Persons"><U><B>Resource Persons</B></U></A></div> <div> <A HREF="id26.htm" TARGET="_top" TITLE="Curriculum Vitae of Claude R. Heimo"><U><I><B><IMG BORDER="0" SRC="Symb075c00b700c811111100.gif" HEIGHT="13" WIDTH="24" ALIGN="bottom" HSPACE="0" VSPACE="0">CV Claude R. 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As such, an international consortium led by sarmap developed a new operational rice information service, for the rice growing regions of East and Southeast Asia, providing to re-insurance companies, rice industries, national and international development institutions, and food traders reliable information on rice acreage, transplanting time, growth status, damages, yield, production and harvest time.</div> <bR> <div> While rice transplanting time, acreage, growth status and damages are determined by using Earth Observation (EO) data, rice yield, production and harvest time are estimated in a predictive way using a hybrid approach, which is based on the combination of an Agro-Meteorological Model and a Statistical Model. Clients can access the IRIS information service through the Internet. An easy-to-use web-application provides them with predictive statistics in the form of tables, graphs and/or maps for any sub-district and any rice season in Asia.</div> <bR> <div> An overview of the service is given in the figure below. </div> <bR> <DIV ALIGN="LEFT"></DIV> <div> <IMG SRC="208be100.jpg" border=0 width="446" height="528" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> <bR> <bR> <bR> <div> IRIS depends on a large extent from the use of Synthetic Aperture Radar (SAR) data from high-resolution satellites processed by SARscape®, a semi-automatic SAR processing chain developed by sarmap in 2000. The basic idea behind the generation of rice acreage statistics using Synthetic Aperture Radar (SAR) techniques is the analysis of changes in the acquired data over time. Measurement of temporal changes of SAR response due to the rice plants phenological status - an increase in the SAR backscatter corresponds to a growth in the rice plants - lead to the identification of the areas subject to transplanting. In order to process SAR data in an efficient way, the processing is carried out using PCs in parallel coordinated by a SAR server, which supervises the whole data handling and stores the computed rice acreage statistics to a Central Database. Rice acreage and transplanting dates are, together with meteorological data and crop parameters, the essential information required for the estimation of production, yield and harvest moment. </div> <bR> <div> The prerequisite for a complete automatic processing is the availability and the continuously update of the Central Database. The rice acreage statistics are stored in map format showing the rice extent and, in form of numerical tables, quantifying the dimension of the area at the smallest administrative level - typically village unit - cultivated by rice. These products are linked to district, region, province and country, so that statistics on any of these administrative units can be produced.</div> <bR> <div> As a result of this new service, rice statistics are now available through the Internet. Clients can access the IRIS information service on the IRIS website. A dedicated and easy-to-use web-application provides clients with predictive data in the form of tables, graphs and/or maps for any sub-district and any rice season in Eastern and South-eastern regions of Asia.</div> <bR> <DIV ALIGN="LEFT"></DIV> <div> <IMG SRC="20ac53c0.jpg" border=0 width="453" height="316" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> <bR> <div> The selection of the rice statistics on the IRIS website is carried out in three steps:</div> <bR> <div> <IMG BORDER="0" SRC="Symb075c00b700dc00000000.gif" HEIGHT="15" WIDTH="24" ALIGN="bottom" HSPACE="0" VSPACE="0">Geographical Selection</div> <bR> <bR> <DIV ALIGN="LEFT"></DIV> <div> <IMG SRC="20c809f0.jpg" border=0 width="384" height="159" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> <bR> <bR> <bR> <div> <IMG BORDER="0" SRC="Symb075c00b700dc00000000.gif" HEIGHT="15" WIDTH="24" ALIGN="bottom" HSPACE="0" VSPACE="0">Temporal Selection </div> <bR> <DIV ALIGN="LEFT"></DIV> <div> <IMG SRC="20ea8020.jpg" border=0 width="424" height="258" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> <bR> <bR> <bR> <div> <IMG BORDER="0" SRC="Symb075c00b700dc00000000.gif" HEIGHT="15" WIDTH="24" ALIGN="bottom" HSPACE="0" VSPACE="0">Rice Statistics</div> <bR> <DIV ALIGN="LEFT"></DIV> <div> <IMG SRC="210fbcb0.jpg" border=0 width="507" height="203" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> <bR> <div> <IMG BORDER="0" SRC="Symb075c00b700dc00000000.gif" HEIGHT="15" WIDTH="24" ALIGN="bottom" HSPACE="0" VSPACE="0">Exemple of high-resolution Mapping Product processed by <FONT SIZE="2" COLOR="#000000" FACE="Arial" >SARscape® (Mekong-Vietnam)</FONT></div> <bR> <bR> <DIV ALIGN="LEFT"></DIV> <div> <TABLE BORDER="2" CELLPADDING="2" CELLSPACING="1" WIDTH="631" BORDERCOLORLIGHT="#C0C0C0" BORDERCOLORDARK="#808080" FRAME="BOX" RULES="ALL" ALIGN="BOTTOM" HSPACE="0" VSPACE="0" > <tR> <tD VALIGN=TOP HEIGHT= 294 ><NOBR><div> <IMG SRC="26a18200.gif" border=0 width="280" height="288" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> </NOBR></tD> <tD VALIGN=TOP><NOBR><bR> <bR> <bR> <div> <IMG SRC="2702fbb0.gif" border=0 width="303" height="187" ALIGN="BOTTOM" HSPACE="0" VSPACE="0"></div> </NOBR></tD> </tR> </TABLE></div> <bR> <bR> <bR> </td> </tr></table></body>