出 处:《Journal of Geoscience and Environment Protection》2021年第9期34-51,共18页地球科学和环境保护期刊(英文)
摘 要:This paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out </span><span style="font-family:Verdana;">potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. </span></span><span style="font-family:Verdana;">Animal Trypanosomiasis </span><span style="font-family:Verdana;">is considered as </span><span style="font-family:Verdana;">an arthropod-borne viral disease which is </span><span style="font-family:Verdana;">endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. </span><span style="font-family:Verdana;">This anthropod-borne viral disease </span><span style="font-family:Verdana;">remains a threat to both humans and livestock in many communities, and the outbreak of such diseases </span><span style="font-family:Verdana;">i</span><span style="font-family:Verdana;">s shown to relate to fluctuations in the changing climate</span><span style="font-family:Verdana;"> mostly experienced whenever there are changes in global precipitation</span><span style="font-family:Verdana;"> which </span><span style="font-family:Verdana;">also relates to changes in sea surface temperatures otherwise known as </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">El Niňo Southern Oscillations</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> (ENSO). Monthly </span><span style="font-family:Verdana;">Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250</span><span style="font-family:""> </span><span style="font-family:Verdana;">meters spatial resolution obtained from NASA-MODIS/CMD w</span><span style="font-family:Verdana;">ere</span><span style="font-family:Verdana;"> subjected to principal component analysis utilizing the standardized principal components within a GIS environThis paper presents analysis of a cost effective methodology using remotely sensed data analysed within a geographical systems (GIS) environment for mapping out </span><span style="font-family:Verdana;">potential habitats of anthropod vectors responsible for trypanosomiasis in northern Nigeria. These geographical locations are areas with high population of livestock in Nigeria. </span></span><span style="font-family:Verdana;">Animal Trypanosomiasis </span><span style="font-family:Verdana;">is considered as </span><span style="font-family:Verdana;">an arthropod-borne viral disease which is </span><span style="font-family:Verdana;">endemic in about 37 countries of the sub-Saharan Africa and in particular northern Nigeria. </span><span style="font-family:Verdana;">This anthropod-borne viral disease </span><span style="font-family:Verdana;">remains a threat to both humans and livestock in many communities, and the outbreak of such diseases </span><span style="font-family:Verdana;">i</span><span style="font-family:Verdana;">s shown to relate to fluctuations in the changing climate</span><span style="font-family:Verdana;"> mostly experienced whenever there are changes in global precipitation</span><span style="font-family:Verdana;"> which </span><span style="font-family:Verdana;">also relates to changes in sea surface temperatures otherwise known as </span><span style="font-family:Verdana;">“</span><span style="font-family:Verdana;">El Niňo Southern Oscillations</span><span style="font-family:Verdana;">”</span><span style="font-family:Verdana;"> (ENSO). Monthly </span><span style="font-family:Verdana;">Satellite imageries in the form of Normalised Difference Vegetation Index (NDVI) at 250</span><span style="font-family:""> </span><span style="font-family:Verdana;">meters spatial resolution obtained from NASA-MODIS/CMD w</span><span style="font-family:Verdana;">ere</span><span style="font-family:Verdana;"> subjected to principal component analysis utilizing the standardized principal components within a GIS environ
关 键 词:TRYPANOSOMIASIS HABITAT Cost Effective Measures Principal Component Analysis (PCA) El–Niño Southern Oscillations (ENSO)
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...