Authors: Olusola Festus*, University of Missouri - Kansas City
Topics: Urban Geography, Land Use and Land Cover Change, Remote Sensing
Keywords: Urban wetland, LiDAR, remote sensing, Terrain modeling, Landscape
Session Type: Paper
Start / End Time: 10:00 AM / 11:40 AM
Room: Lafayette, Marriott, River Tower Elevators, 41st Floor
Presentation File: No File Uploaded
This study is aimed at further buttressing recent and past researchers that have continuously identify the growing influence of urbanization on Kansas City wetland landscape. It uses the emerging LIDAR (Light Detection and Ranging) techniques and integrating multispectral remote sensing imagery to assess the impact of wetland dynamics as an indicator of a coupled effects on urbanization and landscape change. Previously, and more recently satellite remote sensing data have been variously used to adequately classify land use land cover (LULC) patterns. These studies are only limited to the traditional 2D wetland landscape models and lacking vertical information about wetland landscape indices. USGS LiDAR data is used to derive both primary and secondary terrain attributes. Terrain attributes such as Compound Topographic Index (CTI) and Stream Power Index (SPI) were derived from the generated Digital Terrain Model (DTM). Supervised maximum likelihood classification was used both in Erdas Imagine and TerrSet software for multispectral Landsat image in metropolitan Kansas City to identify Imperviousness, greenness index, surface skin temperature and change detection of emergent wetlands. The result shows that precipitation can swell and increase wetlands which in turns impact on the landscape, most especially the large ones in little blue river watershed. Increase urbanization due to the built-up area is also shown to have impacted on the freshwater wetland emergent, these are clearly seen on the Landsat image classification and 3D LiDAR data visualization analysis.