Estimation of crop area in some villages in Al-Gharbia governorate using GIS and remote sensing techniques
Abstract: A high-resolution satellite data with dynamic GPS were used to estimate the crop area estimation. This study presents an approach towards the development of a Geographic Information System (GIS) for crop area estimation at a sub-regional level. The overall system design aimed at supporting crop area estimation through area sampling points, remote sensing and the combination between them. Therefore, a system was realized for supporting sampling points survey design, field work, data processing as well as quality assessment of the input data. Based on this, two prototype systems were designed. The first is the high-resolution satellite data (WorldView-2) with1.8 meter multispectral resolution and eight bands. The other was Dynamic GPS with high resolution. The functions of the system were tested and evaluated, using field data collected from the studied area during the spring of 2012. The results of supervised classification method showed that, there are overlapping between urban areas and other crops especially wheat. due to the this is could be similarity in reflectance between the two types of land cover. The study found that, the accuracy degree of IMAGINE Objective classification was more than the accuracy degree of supervised classification in producer accuracy, user accuracy and overall accuracy for crops under estimation.
On the other hand the comparison between IMAGINE Objective results and official data revealed that, there was a convergence between the values obtained from IMAGINE Objective modules and official data of many villages of the strategic crops such as wheat and clover
Publication year 2014
Pages 853-872.
Organization Name
Country Egypt
City المنوفية
Publisher Name: جامعة المنوفية
Place: شبين الكوم - محفظة المنوفية
serial title مجلة المنوفية للبحوث الزراعية 2014 – مجلد 39 العدد 2(الجزء الثاني) 853-872.
Volume 39 .
Author(s) from ARC
AGROVOC
TERMS		 Geographical information systems. Remote sensing.
Publication Type Journal
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