Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The multiplicity of land-use/cover changes in reducing the areas covered by vegetation is of growing concern in Uganda today. Consequently, the study intended to determine the magnitude and transition potential of land-use/cover changes in a trans-boundary river Sio catchment. The magnitude of land-use/cover changes was determined by an application of unsupervised image classification on the ortho-rectified Landsat TM/ETM images of 1986 and 2000 using ILWIS 3.3 software; whereas an ArcGIS 9.2-based Land Change Modeler was used for both change analysis and transition potential modeling. The results shod that in the period of 1986 to 2000, tlands and bushlands largely reduced by 21% and 5%, respectively, whereas small-scale farming and grasslands increased by 14% and 12%, respectively. The multilayer perceptron attained an accuracy of 97.03%, which is a higher percentage for the possible occurrences of land-use/cover changes in Sio catchment. The major drivers of land-use/cover changes are land ownershi...
['B. Barasa', 'J.G.M. Majaliwa', 'Shuaib Lwasa', 'Joy Apiyo Obando', 'Yazidhi Bamutaze']
I am writing a research paper on a idea Magnitude and transition potential of land-use/cover changes in the trans-boundary river Sio catchment using remote sensing and GIS
[{"from": "human", "value": "I am writing a research paper on a idea Magnitude and transition potential of land-use/cover changes in the trans-boundary river Sio catchment using remote sensing and GIS"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The multiplicity of land-use/cover changes in reducing the areas covered by vegetation is of growing concern in Uganda today. Consequently, the study intended to determine the magnitude and transition potential of land-use/cover changes in a trans-boundary river Sio catchment. The magnitude of land-use/cover changes was determined by an application of unsupervised image classification on the ortho-rectified Landsat TM/ETM images of 1986 and 2000 using ILWIS 3.3 software; whereas an ArcGIS 9.2-based Land Change Modeler was used for both change analysis and transition potential modeling. The results shod that in the period of 1986 to 2000, tlands and bushlands largely reduced by 21% and 5%, respectively, whereas small-scale farming and grasslands increased by 14% and 12%, respectively. The multilayer perceptron attained an accuracy of 97.03%, which is a higher percentage for the possible occurrences of land-use/cover changes in Sio catchment. The major drivers of land-use/cover changes are land ownershi..."}]