Study on the feasibility of delineating mosquitogenic conditions in and around Delhi using Indian Remote Sensing Satellite data.

Indian journal of malariology Pub Date : 1996-09-01
V P Sharma, R C Dhiman, M A Ansari, B N Nagpal, A Srivastava, P Manavalan, S Adiga, K Radhakrishnan, M G Chandrasekhar
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Abstract

A feasibility study to identify mosquitogenic conditions in six study sites in and around Delhi (Bhalaswa lake, Nazafgarh drain, Seelampur lake, Sanjay lake, Okhla barrage and Hindon barrage) using Indian Remote Sensing Satellites was carried out. The water bodies with marshy areas, vegetation and human settlements were considered as environmental variables responsible for mosquitogenic conditions. Multidate IRS 1A and B, LISS-II satellite data were collected and analysed on Vax 11/780 computers. False colour composite (FCC) images were generated and land cover assessed using supervised classification based on ground truth training sets. Ground truth validation of satellite data was done on satellite pass dates. Concurrent monitoring of larval and adult mosquito density was performed by selecting sub-sites in each study site. The results indicate that mosquitogenic conditions can be identified (with limitation of resolution, i.e. 36.5 m) using FCC images and these images can be used as base maps of study sites. Characterization of study sites based on land cover was done from the view point of mosquitogenic conditions. Spatial changes in mosquito density vis-a-vis changes in environmental variables revealed positive correlation with water bodies and vegetation in some study sites.

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利用印度遥感卫星数据划定德里及其周边地区蚊虫孳生条件的可行性研究。
利用印度遥感卫星对德里及其周边6个研究点(Bhalaswa湖、Nazafgarh水渠、Seelampur湖、Sanjay湖、Okhla拦河坝和Hindon拦河坝)进行了可行性研究,以确定孳生蚊虫的条件。水体的沼泽区、植被和人类住区被认为是造成蚊虫孳生条件的环境变量。多日期IRS 1A和B、LISS-II卫星数据在Vax 11/780计算机上收集和分析。生成假彩色合成(FCC)图像,并使用基于地面真实度训练集的监督分类评估土地覆盖。卫星数据的地面真值验证是在卫星通过日期进行的。通过在每个研究点选择子点同时监测成蚊和幼虫密度。结果表明,利用FCC图像可以识别蚊虫孳生条件(分辨率限制为36.5 m),可作为研究点的底图。从诱蚊条件的角度出发,基于土地覆被对研究点进行了特征分析。部分研究点蚊密度相对于环境变量的空间变化与水体和植被呈正相关。
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