PE and RS PUBLIC November 2011 : Page-1072Peer-Reviewed Articles 1113 Quantifying Urban Landscape Water Conservation Potential Using High Resolution Remote Sensing and GIS Fayek A. Farag, Roger K. Kjelgren, and Joanna Endter-Wada Urban landscaped areas in two suburbs of Salt Lake City, Utah were quantified through remote sensing and subsequent geographic information systems analysis that integrated localized reference evapotranspiration and municipal property and water billing data to determine amounts of urban landscape irrigation water that potentially could be conserved. 1123 Estimating Aboveground Carbon of Moso Bamboo Forests Using the k Nearest Neighbors Technique and Satellite Imagery Guomo Zhou, Xiaojun Xu, Huaqiang Du, Hongli Ge, Yongjun Shi, and Yufeng Zhou The k Nearest Neighbors technique with the new SCID metric was used to estimate aboveground carbon of Moso bamboo forests. 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This consent does not extend to other kinds of copying, such as copying for general distribu-tion, for advertising or promotional purposes, for creating new collective works, or for resale. 1133 Daily MODIS Data Trends of Hurricane-induced Forest Impact and Early Recovery Elijah Ramsey III, Joseph Spruce, Amina Rangoonwala, Yukihiro Suzuoki, James Smoot, Jerry Gasser, and Terri Bannister MODIS and 25 m optical and radar satellite data integrated for tracking daily wetland forest trends 1145 A Volumetric Approach to Population Estimation Using Lidar Remote Sensing Zhenyu Lu, Jungho Im, and Lindi Quackenbush The applicability of lidar data for population estimation at the census block level using various modeling techniques based on the volume of the residential buildings that were delineated using a modified building detection algorithm. 1157 Automatic Georeferencing of Aerial Images Using Stereo High-Resolution Satellite Images Jaehong Oh, Charles K. Toth, and Dorota A. Grejner-Brzezinska A new method for automated aerial image geo-referencing based on image-to-image matching, using stereo high-resolution satellite images as reference data. 1169 Detection of Swimming Pools by Geographic Object-based Image Analysis to Support West Nile Virus Control Efforts Minho Kim, James B. Holt, Rebecca J. Eisen, Kerry Padgett, William K. Reisen, and Janet B. Croft Automatic detection of swimming pools was conducted using geographic object-based image analysis with very high spatial resolution satellite imagery, i.e., GeoEye-1, to aid in West Nile Virus control efforts. Is your contact information current? Contact us at members@asprs.org or log on to http://www.asprs.org/Member-Area/ to update your information. We value your membership. 1072 November 2011 Photogrammetric engineering & remote SenSing Publication List Using a screen reader? Click Here |
