Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/22833
Title: Efficiency Evaluation of MODIS Data Products In Monitoring and Mapping The Wild land Fire
Authors: Hsbalkhalig, Dalia Omer Saeed
Supervisor, -Mohamed Elamin Ahmed Babiker
Keywords: Engineering
MODIS Data Products
Monitoring and Mapping The Wild land Fire
Dinder National Park
Issue Date: 28-Apr-2019
Publisher: Sudan University of Science and Technology
Citation: Hsbalkhalig, Dalia Omer Saeed . Efficiency Evaluation of MODIS Data Products In Monitoring and Mapping The Wild land Fire : Case study Dinder National Park \ Dalia Omer Saeed Hsbalkhalig ; Mohamed Elamin Ahmed Babiker .- Khartoum: Sudan University of Science and Technology, College of Engineering, 2018 .-48p. :ill. ;28cm .- M.Sc
Abstract: El Dinder National Park (DNP) is one of the oldest parks in Africa. It was established in 1935. DNP is included in the UNSCO list of biosphere reserves since 1987. Fire in DNP starting in early as mid-September. During the dryness seasons in DNP, the number of forest fires increase rapidly and there is need to develop, with high efficiency, fire prevention strategies, in order to avoid the loss of natural resources. As any other natural disaster, there for, this research used analysis of the remote sensing data time-series of multispectral satellite imagery of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data to generate a historical back ground of wild land fire regime. Burned area were detected for the years 2013-2014-2015 based on direct method of visual and digital interpretation ofburned scars area, to locate and map areas that have been burnt in past events (burnt scars), burned areas identifiable on imagery by bare ground and dark charcoal/ash appearance.The static result shows the maximum area burnt in the park in year 2013 (1342.63Km2 ) and the minimum area burnt in year 2013 (1334 Km2 ).The study revealed several important facts regarding the fires, which generally begin in September and continue until November and reach the highest extent . This month,modissensor has also proved highly efficient in detecting and mapping fires .The study reveals that most of the fires were in the eastern, northern, southern and central parts of the country of the study area .The least exposed areas were in the western part of the study area.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/22833
Appears in Collections:Masters Dissertations : Engineering

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