عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Technique of remote sensing and its satellite products has many implementations in agricultural science and national resources. In this study, wheat yield in Esfahan province, Iran, were derived from MODIS satellite data over periods of 2000-2001(dry year) and 2004-2005 (wet year). For this purposes, 68 MODIS products of surface reflectance (MOD09GA) and land surface temperature LST (MOD11A2) over Esfahan in 8-day time step were collected. By using satellite data of LST and vegetation index NDVI, the amount of water stress during each time steps were estimated from a linear relation. Spatial distributions of active photosynthesis absorb radiation (APAR) were also estimated using NDVI index and meteorological data. Finally, cumulative dry matter as indicator of wheat yield was calculated using APAR, light use efficiency and water stress in each time. Actual biomass by using harvest index, converted to grain yield. The results indicated that the amount of dry matter in wet year (2004-2005) was 1.4 times of predicted production in the dry year (2000-2001). Isfahan city had the highest amount of increase and cities of Bigdel, Felavarjan, Ardestan showed the highest decrease in wheat yield production. Good trend of predicted yield with the observation data indicated a promise for application of this procedure for annual yield prediction before harvesting time in large regional scale.