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Estimating the Area of Hashab Tree (Acacia senegal) Defoliated by Tree Locust Using Supervised Classification
Current Issue
Volume 2, 2017
Issue 6 (December)
Pages: 73-80   |   Vol. 2, No. 6, December 2017   |   Follow on         
Paper in PDF Downloads: 35   Since Oct. 25, 2017 Views: 1232   Since Oct. 25, 2017
Authors
[1]
Ahmed Ismail Ahmed Safi, Institute of Gum Arabic Research and Desertification Studies, University of Kordofan, Elobied, Sudan.
[2]
El Sayed El Bashir Mohamed, Crop Protection Department, Faculty of Agriculture, University of Khartoum, Khartoum, Sudan.
[3]
Amna Ahmed Hamid, Remote Sensing Authority, University of Khartoum, Khartoum, Sudan.
Abstract
The present study was conducted in two locations in Acacia Agricultural Company (Nawa and Elrahad locations) for three successive seasons; 2007/2008, 2008/2009 and 2009/2010), 37 km south east of ElObeid city. Field survey method is tedious and laborious to address large geographical area of tree locust problem, but remote sensing provides timely data to handle the problem immediately. The objective is to evaluate the role of remote sensing in identifying areas of defoliated Hashab tree by tree locust. In this context four treatments (non- defoliated Hashab trees, light, moderate and high defoliated Hashab trees by tree locust) were arranged in a randomized complete block design. These treatments are referred to as training areas (information classes). Ground Control Points were located and field data was collected. Supervised classification of Spot images (2009) was done based on predefined classes and on the analyst's familiarity with the geographical area and knowledge with the actual defoliation levels present in the image, then the numerical information in all spectral bands for the pixels comprising these areas are used to train the computer to recognize spectrally similar areas for each class. The computer uses a special program or algorithm to determine the numerical signatures for each training class with the help of Erdas Imagine 8.5 software. Accuracy assessment was done and ARC map 9.3 was used for map production. Results showed that the supervised classification recognized five major classes; non-defoliated, light, moderate, high defoliated Hashab trees and areas of tree locusts warms.
Keywords
Acacia senegal, Gum Arabic, Tree Locust, Supervised Classification
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