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Anthropogenic fire regime detection using 1953 aerial photograph repository from the western desert of Australia
Pramudya F.S.a, Price M.H.b, Harto A.B.a, Wikantika K.a, Bird R.B.b
a Geodesy and Geomatics Engineering Program, Institute of Technology, Bandung (ITB), Indonesia
b Department of Anthropology, Pennsylvania State University (PSU), United States
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Covered by arid and semi-arid desert, 70 percent of Australia mainland has known for years for it’s social and cultural phenomenon of Aborigin people, the indigenous Australian tribes. Several comunities of Aboriginal tribes, such as Martu people, has developed methods according to genders, to meet their daily needs of food during the cool-dry season from May to August. Men focus on gun hunting, while the women focus on hunting wooden or iron digging sticks and burning small fires on a regular basis to support their foraging activities. Many researchers suggested that moderate and repeated burning has several positive impacts to the surrounding biotic web and terrestrial biodiversity, while preventing habitat loss at the local scale. Remote Sensing method, such as aerial photography and satellite imagery, are suitable technology that developed to acquire certain data or information in large-scale measurement especially in quantify past and present fire activity at spatial scales useful for a range of fire and vegetation management applications. In this research, an ununiformed illumination of Australian Panchromatic 1953 aerial image repository were reconstructed to widen the known information obtained using Landsat satellite mission data sets from 1970’s. The geometric reconstruction of the imagery was done using GCP acquired from Panchromatic Landsat 8 data using still land objects. The radiometric reconstruction was done using Contrast Limited Adaptive Histogram Equalization method, to the non-uniform illumination on each flight path and stitched into mosaic. The objective of this research is to evaluate the effectiveness of methods in Object Based Image Analysis (OBIA) feature extraction by using GLCM in very limited spectral information by comparing advance segmentation technique, the Multiresolution Segmentation and Segmentation.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Adaptive histogram equalization,CLAHE,GLCM,Multiresolution segmentation,Non-uniform illumination,OBIA,Object based,Object based image analysis (OBIA)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Aboriginal burning,CLAHE,GLCM,OBIA,Object based segmentation[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]