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APPLICATION OF AN AGROMETEOROLOGICAL MODEL (FAO # 33) FOR PREDICTING SUGARCANE CROPS USING THE NDVI S-10 AND DMP SPOT-VEGETATION PRODUCTS. Diego Rocha. 7 to 18 February, 2011.
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APPLICATION OF AN AGROMETEOROLOGICAL MODEL (FAO # 33) FOR PREDICTING SUGARCANE CROPS USING THE NDVI S-10 AND DMP SPOT-VEGETATION PRODUCTS Diego Rocha 7 to 18 February, 2011
The application of the Agrometeorological spectral model, based on Report No. 33 of FAO for Estimating the harvest productivity can help on improving the planning, monitoring and control of crops. RELEVANCE OF THE APPLICATION
The aim of this application is apply the FAO # 33 agrometeorological model for estimating sugarcane crops by using the NDVI S-10, DMP SPOT Vegetation products. OBJECTIVE OF THE APPLICATION
Local / Regional (in-situ) data DATA USED Sugarcane plantation in the city of Coruripe in Alagoas Sate, Brazil. The sugarcane parameters used are: BF = Factor breath (0,5 for temp. ≥ 20°C and 0,6 for temp <20°C (GOUVÊA, 2008)); APF = Agricultural Productivity Factor (2,9) (RUDDORF, 1985); Ky= yield response factor (DOORENBOS E KASSAM, 1979). Kc= culture of coefficient
MATERIALS: • Remote Sensing Data: Vegetation-2, SEVERI • Satellite digital data : Spot-5, Meteosat 9 • Products : NDVI S10 and Production of Dry Matter (DMP) for South America, Land SafETo • Data acquisition : 2009 • Spatialresolution: 1Km (Spot-5) and 3-4 Km Meteosat-9 • Source: EUMETCast service installed at LAPIS (Laboratory of Analysis and Processing of Satellite Images) at http://www.lapismet.com at University of Federal of Alagoas (UFAL) and SPOT Vegetation VITO at http://free.vgt.vito.be/ Data from EUMETCast – GEONETCast – DevCoCast
EQUATIONS (2) Yp =CGF*BF*APF*DMP (4) CGF = Compensation of Growth Factor; BF = Factorbreath (0,5 for temp. ≥ 20°C and 0,6 for temp <20°C); APF = AgriculturalProductivity Factor (2,9) propose by RUDORFF (1985); DMP = Productionofdry matter, on this point, the DMP Spot-Vegetation data initially processed are inserted. (5) Kc= Coeficient of Culture
Agrometeorological spectral model proposed based on the report number 33 from FAO (DOORENBOS and KASSAM, 1979). Ye = Yield estimated by the model; Yp= Maximum yield potential; Ky= yield response factor (DOORENBOS e KASSAM, 1979); ETr/ETp= Relative evapotranspiration.
In blue the relationship between the first and last ten-day period analyzed corresponding to April and August, respectively, of an idea of the behavior of the sugarcane during phenological period. And in red we have the relationship between periods of ten-days of lesser and greater productivity estimates that match the first ten days of April to the last of May respectively
Estimated production during the study period in only one pixel sample.
Conclusions Can use the ILWIS to perform agricultural modeling studies using products received by the SPOT Vegetation DevCoCast system. The study presents a good application potential, if properly implemented could help in forecasting and crop monitoring with good temporal scale.
Thanks to all team for data, support and opportunity