ABSTRACT
North Carolina ............................................................................... 474 24.2.3 Thermal Remote Sensing of Estuarine Flushing .......................... 476 24.2.4 Integrating Remote Sensing and Field Surveillance
of Mosquito Vectors ...................................................................... 478 24.2.4.1 Approach ....................................................................... 478 24.2.4.2 Study Area, Mosquito Data, and Imagery
Acquisition .................................................................... 479 24.2.4.3 Image Processing and Spatial Analysis ........................ 479 24.2.4.4 Results of Integrated Remote Sensing and
Mosquito Surveillance Data Analysis ..........................480 24.3 Data Fusion of Spatially Overlapped Multi-View Imagery ........................ 481 24.4 Conclusions ................................................................................................. 482 References .............................................................................................................. 483
research questions, post hoc validation, or continual observation and monitoring. Well-known remote-sensing applications include defense and reconnaissance, resource inventories such as agriculture, forestry, wetlands, land cover and land use patterns, and meteorology. Less well-known but emerging fi elds of applied remote sensing include health and coastal hazards. Remote sensing of coastal processes, such as sea-level rise, could demonstrate atmospheric and sea-surface temperature analysis for documenting the existence of thermal-induced expansion, apply terrestrial resources satellites (e.g., Landsat) to inventory, classify, and detect changes in shorelines and wetlands, and contribute to the long-term monitoring, erosion and subsidence rates, and hazard mitigation applications using very high resolution aerial photography, hyperspectral sensing, and active sensors including synthetic aperture radar (SAR) and light detection and ranging (LIDAR).
