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A Preview of Recent Land Cover Mapping for Connecticut - This presentation provides an overview and update of the Connecticut's Changing Landscape multitemporal land cover project, including preliminary statistics and graphics that show landscape change in Connecticut over the 21-year period from 1985 to 2006. In addition to land cover, a number of other derived products are described. These include forest fragmentation mapping, urban growth modeling, and impervious surface estimation. CCNR 2008. 5.8 Mb |
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Simulating Future Suburban Development in Connecticut - The presentation proposes a method to simulate future changes in forest fragmentation resulting from suburban development in northeastern United States. Analysis results are presented for several towns in Connecticut. ASPRS 2007. 6.6 Mb |
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Impervious Surface Estimation: A Comparison of Techniques - This project reports on several approaches to estimating percent imperviousnessand compares impervious surface estimates derived from modeling approaches such as Subpixel Classification, Impervious Surface Analysis Tool (ISAT) and Population Density and Land Use-based Regression model. NEARC 2006. 3.5 Mb |
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The Urban Growth Management Initiative: Preliminary Results - Conducted as part of a team that included Columbia University and Williams College, CLEAR researchers looked at urban extent and expansion over a ten-year period for 120 cities with a population over 100,000, worldwide. This study, funded by The World Bank and the National Science Foundation, is providing insight into the relationships of population growth and urban expansion in developing countries. ASPRS 2005. 4.4 Mb |
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Temporal
Characterization of Connecticut’s Landscape: Methods, Results, and
Applications - An
overview methods for percent impervious quantification, land use
change, urban growth modeling, and forest fragmentation
characterization. ASPRS 2003. 19.8 Mb |

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A Comparison of Land Use and Land Cover Change Detection Methods - A comparison of the
results of different land use and land cover change detection
approaches: traditional post-classification cross-tabulation,
cross-correlation analysis, neural networks, knowledge-based expert
systems, and image segmentation and object-oriented classification. ASPRS 2002. 9.8 Mb |

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A Forest Fragmentation Index to Quantify the Rate of Forest Change - Using time series
land cover information, changes in the forest landscape can be
compared over time. Details of our model for calculating the forest
fragmentation index are presented as well as a case study of its
application to a town in one of the study watersheds. ASPRS 2002. 4.4 Mb |

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A Knowledge-based Appoach for Reducing Cloud and Shadow - Completely
cloud-free remotely sensed images are not always available, especially
in tropical, neo-tropical, or humid climates, posing complications and
perhaps serious constraints to image analysis. A knowledge-based
approach to reduce cloud and shadow using two dates of Landsat TM
imagery is presented. ASPRS 2002. 2.1 Mb |

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Development of a Model to Quantify and Map Urban Growth - Our model produces an output map identifying five types of urban
growth: in-fill, expansion, isolated, linear branching, and clustered
branching. The resulting map presents a powerful visual and
quantitative assessment of the type of urban growth occurring across
the landscape, allowing local land use decision makers to see clearly
the results of past land use choices as well as the potential effects
of future decisions. The basis for the development of our urban
growth model and examples of its application is presented. ASPRS 2002. 5.2 Mb |

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Subpixel Impervious Surface Mapping - This presentation is about subpixel impervious
surface mapping using Neural Network Classifier and Erdas Subpixel
Classifier technology. ASPRS 2002. |

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Measuring Impervious Surfaces for Non-point Source
Pollution Modeling - This presentation is about measuring percent of
impervious surface based on planimetric data and remote sensing
derived landuse/landcover data for non-point source pollution
modeling. ASPRS 2000. |

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Introduction to Remote Sensing - This presentation provides an introduction into
the concepts, data, and applications of remote sensing. |