首页> 外文期刊>British Journal of Environmental Sciences >MAPPING OF LAND COVER AND ESTIMATION OF THEIR EMISSIVITY VALUES FOR GAS FLARING SITES IN THE NIGER DELTA
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MAPPING OF LAND COVER AND ESTIMATION OF THEIR EMISSIVITY VALUES FOR GAS FLARING SITES IN THE NIGER DELTA

机译:土地覆盖的映射和尼日尔三角洲气体燃气地点的发射率值的估计

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This study examines the changes in land cover (LC) types at 6 gas flaring sites in Rivers State, Niger Delta region of Nigeria; and to estimate their emissivity () values. 15 Landsat scenes (3 Landsat 5 Thematic Mapper (TM) and 12 Landsat 7 Enhanced Thematic Mapper Plus (ETM+)) from 17 January 1986 to 08 March 2013 with < 30 % cloud contamination were used. All the sites are located within a single Landsat scene (Path 188, Row 057). Radiometric calibration of the multispectral bands of the data, and atmospheric correction for multispectral bands using dark object subtraction (DOS) method was carried out. The first unsupervised cluster analysis of the atmospherically corrected reflectance (bands 1-4) using the K-mean function of the MATLAB tool was carried out. The results obtained give 3 classes of LC type and cloud as the 4th class. The second cluster analysis was performed with the cloud-masked reflectance (bands 1-4) to give vegetation, soil, built up area and water LC types for all flaring sites. This was confirmed through the fieldwork observation for ground validation of Landsat 5 TM and Landsat 7 ETM+ in the Niger Delta that LC types obtained from satellite data are the same with those observed during the fieldwork. The method used to estimate value for LC types at these sites is based on the of 4 LC types present at each site. The changes in LC differ throughout the period for the 6 sites due to different human activities within each site. The values estimated for the 4 LC types for the sites are not stable but changing from 1986 to 2013 due to changes in LC types. The results of LC classification show that K-mean method can distinguish up to 4 LC types very well in the Niger Delta.
机译:这项研究检查了尼日利亚尼日尔三角洲地区的6个气体燃烧地点的土地覆盖(LC)类型的变化;并估计其发射率()值。从1986年1月17日至2013年3月8日,使用了15个Landsat场景(3 Landsat 5主题映射器(TM)和12 Landsat 7增强的主题映射器Plus(ETM+)),使用了<30%的云污染。所有站点都位于单个Landsat场景中(路径188,第057行)。使用深色对象减法(DOS)方法对数据的多光谱带的辐射校准以及对多光谱带的大气校正。使用MATLAB工具的K均值函数对大气校正反射率(频段1-4)进行了第一个无监督的聚类分析。获得的结果将3类LC类型和云作为第四类。第二个聚类分析是用云遮盖反射率(带1-4)进行的,以提供所有燃烧地点的植被,土壤,内部区域和水LC类型。通过现场工作观察证实了这一点,以对尼日尔三角洲的Landsat 5 TM和Landsat 7 ETM+进行地面验证,从卫星数据获得的LC类型与在现场工作期间观察到的LC类型相同。用于估计这些站点LC类型的值的方法基于每个站点上存在的4个LC类型。由于每个站点内的人类活动不同,这6个地点的LC变化在整个时期内有所不同。该站点的4种LC类型估计的值不稳定,而是由于LC类型的变化而从1986年变为2013年。 LC分类的结果表明,K-均值方法可以很好地区分尼日尔三角洲的多达4种LC类型。

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