TY - GEN
T1 - Applying GEObia method to analyze climate changes associated to energy generation - analysis about oil exploration onshore at potiguar basin
AU - Alves, A.M.
AU - Amaro, V.E.
N1 - Conference code: 6
PY - 2016
Y1 - 2016
N2 - This paper deals with the discussion of the analysis of remote sensing data on onshore oil exploration occurring in the Potiguar Basin, in the state boundaries of Rio Grande do Norte - Brazil, from the perspective of changes in albedo index, surface reflectance and surface temperature associated with to those aspects. The albedo is considered a significant variable in understanding the energy balance that makes up an important element of the analysis of global climate change. Through the use of remote sensing tools and GIS, based on surface reflectivity algorithms and surface temperature from GEObia (GEOgraphic- Object-Based Image Analysis) from the sequence - Pan-sharpened composite, Radiance with atmospheric correction, Reflectance with atmospheric correction, and Surface temperature with emissivity correction, used in scenes produced by OLI sensors (Operational Land Imager) and TIRS (Thermal Infrared Sensor) Landsat-8 satellite, it was possible to determine the variations in surface reflectance and surface temperature, and compare them to index albedo therein the oilfield based on the method 6S + Liang (2000). The research indicates, with the determination of processed values, which areas of oil exploration to the analyzed time, present significant change rates, with a tendency to increase in reflectance and temperature associated with albedo changes, as well as other areas of renewable energy exploration.
AB - This paper deals with the discussion of the analysis of remote sensing data on onshore oil exploration occurring in the Potiguar Basin, in the state boundaries of Rio Grande do Norte - Brazil, from the perspective of changes in albedo index, surface reflectance and surface temperature associated with to those aspects. The albedo is considered a significant variable in understanding the energy balance that makes up an important element of the analysis of global climate change. Through the use of remote sensing tools and GIS, based on surface reflectivity algorithms and surface temperature from GEObia (GEOgraphic- Object-Based Image Analysis) from the sequence - Pan-sharpened composite, Radiance with atmospheric correction, Reflectance with atmospheric correction, and Surface temperature with emissivity correction, used in scenes produced by OLI sensors (Operational Land Imager) and TIRS (Thermal Infrared Sensor) Landsat-8 satellite, it was possible to determine the variations in surface reflectance and surface temperature, and compare them to index albedo therein the oilfield based on the method 6S + Liang (2000). The research indicates, with the determination of processed values, which areas of oil exploration to the analyzed time, present significant change rates, with a tendency to increase in reflectance and temperature associated with albedo changes, as well as other areas of renewable energy exploration.
U2 - 10.3990/2.404
DO - 10.3990/2.404
M3 - Conference contribution
SN - 978-90-365-4201-2
BT - Proceedings of GEOBIA 2016
A2 - Kerle, N.
A2 - Gerke, M.
A2 - Lefevre, S.
PB - University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
CY - Enschede
T2 - 6th International Conference on Geographic Object-Based Image Analysis, GEOBIA 2016
Y2 - 14 September 2016 through 16 September 2016
ER -