All Categories : Technical Papers : 2014 ASPRS Louisville Proceedings Bookmark and Share

Title : Rice Area and Probable Transplanting Dates Trends Mapping through a Remote Sensing Based Model
Company : American University in Cairo
File Name : Elshorbagy.pdf
Size : 2889305
Type : application/pdf
Date : 23-May-2014
Downloads : 2

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Authors: Ashraf Elshorbagy, Emad Imam and Mohamed Nour

Egypt faces a great challenge. Fixed water resources and increasing water demands. Rice is the main water–consuming crop planted in Egypt Delta. Thus mapping of where and when rice is planted is important. The planting occurs over a wide spatial and temporal span. Thus, rice mapping with traditional methods is doubtful. Elshorbagy (2013) developed a model for rice mapping utilizing MODIS (MOD09A1, MOD09Q1) products where the dynamics of Land Surface Water Index (LSWI), Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) throughout the rice-planting season were combined with an arable mapping module for rice area mapping. In the present study, ten years of historical multi-temporal MODIS imagery (2002-2011) were analyzed applying the developed model. For each main irrigation directorate an inventory of where and when rice was planted in the target period was mapped. The date intervals of maximum rice transplanting were identified. The most critical imagery dates for the model to well function were pinpointed. South-North rice transplanting lag trend was correctly mapped. The algorithm results were compared against the rice areas annual reports. There was good agreement between the estimated areas from the algorithm and the reports. Inter annual variation in rice areas was successfully mapped. In addition, the rice area and probable transplanting dates conforms to local planting practices. The findings of this study indicate that the algorithm can be used for rice areas and transplanting dates trends mapping on a timely and frequent manner.
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