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Formulation of Mathematical Model for Gum Tree Productivity That Subjected to Tree Locust Attack by Using Remotely Sense Data
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Volume 5, 2017
Issue 6 (December)
Pages: 123-127   |   Vol. 5, No. 6, December 2017   |   Follow on         
Paper in PDF Downloads: 41   Since Oct. 25, 2017 Views: 2078   Since Oct. 25, 2017
Ahmed Ismail Ahmed Safi, Gum Arabic Research Centre, University of Kordofan, Elobeid, Sudan.
El Sayed El Bashir Mohamed, Crop Protection Department, Faculty of Agriculture, University of Khartoum, Khartoum, Sudan.
Amna Ahmed Hamid, Remote Sensing and Seismology Authority, National Center for Research, Khartoum, Sudan.
In this study, a field survey and remote sensing were integrated and carried out for three successive seasons in an area of 28000 feddans (11331 hectares) of Acacia senegal plantation of the Acacia Project (Nawa and Elrahad locations), 37 km south east of El Obeid city. North Kordofan State. Field survey method is time consuming to demonstrate large spatial scale of tree locust problem, but remote sensing provides timely data to tackle the problem immediately. The objective was to develop a model for estimating gum productivity of Acacia senegal (hashab) defoliated by tree locust from satellite imagery using Normalized Difference Vegetation Index (NDVI). 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 (RCBD). Ground Control Points were located and field data was collected. NDVI images were created from Spot imageries (2009) with the help of ERDAS IMAGINE 8.5 Software. Image data is analyzed in conjunction with ancillary spatial data within the geographical information system (using ARC map 9.3) with regards to their spectral reflectance, and then the treatments were assigned to each class of the created NDVI images. NDVI showed that there were four classes: non-, light, moderate and high defoliated Hashab trees. There was a negative relationship between NDVI values and level of tree defoliation due to tree locust attack, but the relation is positive between NDVI and gum production. It can be concluded that, NDVI is a powerful tool for recognition of the different levels of hashab tree defoliation by tree locust attack and it is a useful index to generate an easy and practical method for measuring tree greenness. Results showed that the power function was the best model for estimating gum production of Acacia senegal defoliated by tree locust using NDVI, which can be exemplified by the following equation; Gum production (y) = 275.8x-2.07 where: 275.8 and 2.07 are empirical coefficients and X stand for NDVI.
Acacia Senegal, Gum Arabic, Tree Locust, NDVI
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