...
首页> 外文期刊>International journal of remote sensing >Capabilities of multispectral thermal data for identification of Anopheles gambiae mosquito larval habitats in African urban environments
【24h】

Capabilities of multispectral thermal data for identification of Anopheles gambiae mosquito larval habitats in African urban environments

机译:多光谱热数据识别非洲城市环境中冈比亚按蚊蚊虫幼虫栖息地的能力

获取原文
获取原文并翻译 | 示例

摘要

The satellite-based Multi-spectral Thermal Imager (MTI) employs a 15-waveband sensor that measures radiation in the visible and infrared spectrums. The MTI exhibits 5 m visible to 20 m thermal resolutions. This research examines whether available MTI image data provide details signalling mosquito larval habitats in urban locales of Malindi and Kisumu, Kenya. MTI data encompassing visible wavebands 2, 3 and 4 were selected to synthesize images containing positive Anopheles gambiae larval habitats that ranged from swamps to tree holes. Nine observers with varying degrees of experience (0-6 years) in interpreting remotely sensed data were asked to visually inspect 100 constructed land cover images and discern aquatic larval habitats. Twenty images of negative control habitats were included. Specific habitat status was contemporaneously verified by field tests. As a group, the observers correctly identified 54 of 900 (6%) observations of the positive larval habitats and 126 of 180 (70%) observations of the negative control habitats. Habitats most correctly identified were puddles, although aquatic habitat size did not influence the approach to identification. These results suggest that MTI images assembled from optical wavebands 2, 3 and 4 do not offer adequate spatial information for remote visual detection of Anopheles gambiae larval habitats due to inadequate display of surface features.
机译:基于卫星的多光谱热像仪(MTI)采用15波段传感器,可测量可见光谱和红外光谱中的辐射。 MTI的可见分辨率为5 m至20 m。这项研究检查了可用的MTI图像数据是否提供了在肯尼亚马林迪和基苏木市区内发出蚊子幼虫栖息地信号的详细信息。选择了包含可见波段2、3和4的MTI数据,以合成包含从沼泽到树洞不等的冈比亚按蚊幼虫栖息地的图像。要求9名具有不同程度(0-6年)经验的观察员(他们理解遥感数据)在视觉上检查100幅人工覆盖的土地覆盖图像并辨别水生幼体栖息地。包括二十个阴性对照栖息地的图像。通过现场测试同时验证了特定的栖息地状态。作为一组,观察员正确地确定了阳性幼虫栖息地的900个观测值中的54个(占6%)和阴性对照栖息地的180个观测值中有126个(占70%)。尽管水生生境的大小并不影响识别方法,但最能正确识别的栖息地是水坑。这些结果表明,由于表面特征显示不充分,由光波段2、3和4组装而成的MTI图像不能为遥远的冈比亚按蚊幼虫栖息地的远程视觉检测提供足够的空间信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号