Skip to Search
Skip to Navigation
Skip to Content

Research Materials - Presentations

  • 2014
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000

A Fully Automated Approach to Classifying Urban Land Use and Cover from LiDAR, Multi-spectral Imagery, and Ancillary Data

The purpose of this research was to develop a fully automated algorithm that is capable of deriving 1-meter resolution land cover and land use information from LiDAR data, multi-spectral imagery, and ancillary data. The algorithm uses a decision tree approach to identify urban land cover features based on both structural and spectral properties including height, surface roughness, return characteristics, brightness, and normalized difference vegetation index (NDVI). Urban land use was inferred from land cover features using object geometry and spatial context information along with ancillary data. Accuracy assessments of both land cover and land use classifications showed that our proposed methods are robust across the range of urban to rural landscapes in Connecticut. The overall accuracy of the urban land covers (buildings, low impervious cover) was 95%. Land use maps will be assessed through comparisons with those currently in use by planners and decision-makers in Connecticut. ASPRS Pecora 2014. 2 Mb.


Atlas of Urban Expansion: 2015 Edition

The Atlas of Urban Expansion provides the geographic and quantitative dimensions of urban expansion and its key attributes in cities the world over. The data and images are available for free downloading, for scholars, public officials, planners, those engaged in international development, and concerned citizens. The global empirical evidence presented is critical for an informed discussion of plans and policies to manage urban expansion everywhere. This presentation overviews the classification of multitemporal Landsat imagery – circa 1990, 2000, and 2013 – as well as the derived urban growth maps and metrics. ASPRS PECORA 2014. 9 Mb

Fusion of KH-Series Declassified Satellite Imagery and Landsat MSS data in Support of Urban Land Cover Classification - This presentation describes the procedures by which the KH-series declassified military intelligence imagery were geometrically-corrected and registered to Landsat data, fusion of the KH-data with Landsat MSS, the derivation of 1970’s urban land use information, and the calculation of urban growth metrics. The power of leveraging the high resolution of the military reconnaissance imagery with the multispectral information contained in the vintage Landsat MSS data in historical land use analyses is illustrated. PECORA 2008. 19 Mb

Importing Google Earth Data into a GIS - Google Earth is a rich resource of satellite imagery and geographic data that allows for on-screen mapping of features. However, features mapped in Google Earth cannot be directly used in a GIS. We present a tool that converts the kml files generated by Google Earth into a shapefile that can be used in ArcGIS. We also present a method by which screen captures from Google Earth can be geo-referenced in ArcGIS and can thus be overlain with other GIS data. The tool presented works with files generated by Google Earth 4.2 (and 4.3) and requires ArcGIS 9.2. NEARC 2008. 1 Mb

An Improved Method for Classifying Forest Fragmentation - Forest fragmentation reduces the ecological, economic, and recreational value of a forest resource. Fragmentation in the northeast is driven in large part by suburban growth. Identifying areas of forest fragmentation will allow better planning to minimize future fragmentation of the region’s forest. We present a tool that analyzes forest fragmentation by classifying forest into one of four classes: core, perforated, edge, and patch. The tool can perform landscape level analysis and can be applied to any land cover type. The tool requires ArcGIS 9.2 with spatial analyst. NEARC 2008. 2 Mb

Estimation Tool for Impervious Surfaces (ETIS) - This presentation describes functionality of newly developed ETIS tool. This tool allows calculating the amount of imperviousness for specified area based on land cover and population density data. It was developed using linear regression equation and a set of coefficients based on the classes of the land cover map used. There are several sets of coefficients included with the Toolbox for Connecticut Land Cover (CCL) 2002 and National Land Cover Data (NLCD) 2001, but ETIS also allows to import custom sets and to demonstrate the effect of change in land cover on the amount of imperviousness.. NEARC 2008. 1.9 Mb

Urban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl - We developed several sets of metrics to measure the phenomenon of urban sprawl. The analysis generates quantitative measurements of a city’s compactness, openness, and population density as well as generates maps indicating areas of sprawling development in a city. These metrics are applicable to any city in the world and can be used to measure change in urban sprawl over time. These metrics will be applied to a global sample of 120 cities to analyze change in urban sprawl over a 10 year period. This analysis will allow us to rigorously quantify the trends in urban spatial development for each of the major regions of the world.. ESRI 2008. 1.2 Mb

Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling - CLEAR has been utilizing a raster based forest fragmentation model developed by Riitters et al, to assess the impact of landscape change on forest resources in the State of Connecticut and surrounding region. This presentation overviews the issues involved with forest fragmentation modeling using land cover of different spatial resolutions and how the model has been refined to provide a consistent result independent of the spatial resolution of the land cover used. ASPRS 2008. 1 Mb

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

Back to Top

Object-oriented Classification and Mapping of Salt Marsh Vegetation Using in situ Radiometry and Multi-seasonal, High Resolution Satellite Remote Sensing Data - This presentation is about our research that uses high resolution multi-temporal QuickBird satellite imagery, in situ radiometry information, and image segmentation and object oriented classification techniques to map dominant vegetation species in select coastal marshes in Long Island Sound. MultiTemp 2007. 13.8 Mb

Quantitative Assessment of the Accuracy of Spatial Estimation of Impervious Cover - This project reports on several approaches to estimating percent imperviousness and is part of ongoing research aimed at developing a suite of analysis tools for effective land management. ASPRS 2007. 4.5 Mb

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

Urban Growth Analysis: Calculating Metrics to Quantify Urban Sprawl - The presentation describes a study that measured changes in urban sprawl for a global sample of 120 major cities over a 10 year period. Numerous metrics are proposed that enable rigorous measurements of the spatial structure in the study cities. ASPRS 2007. 1.0 Mb

Back to Top

Forest Fragmentation in Connecticut: What Do We Know and Where Are We Headed? - This presentation provides an overview of forest fragmentation in the state of Connecticut. As the title says, what do we know and where are we headed. CT Forest Forum November 2006. 12.4 Mb

Classification of Coastal Wetland Systems using Multiple Remote Sensing Data Types and Analytical Techniques - This presentation is about our research that uses high resolution multi-temporal QuickBird satellite imagery, in situ radiometry information, and image segmentation and object oriented classification techniques to map dominant vegetation species in select coastal marshes in Long Island Sound. IGARSS 2006. 9.2 Mb

Classification of Tidal Wetland Communities using Multi-temporal, Single Season QuickBird Imagery - This presentation is about our research that uses high resolution multi-temporal QuickBird satellite imagery, in situ radiometry information, and image segmentation and object oriented classification techniques to map dominant vegetation species in select coastal marshes in Long Island Sound. ASPRS 2006. 4.6 Mb


No presentations posted for 2005

Temporal Characterization of Impervious Surfaces for the State of Connecticut - This presentation overviews the Sub-pixel Classifier and how it was used to estimate multi-temporal, per-pixel impervious surfaces from four dates of Landsat satellite imagery. ASPRS 2004. 5.1 Mb

Development of a Population Density and Land Use Based Regression Model to Calculate the Amount of Imperviousness - Developing, assessing and refining the regression-based modeling technique to be used with National Land Cover Data (NLCD) and population density to predict percent imperviousness. Interpolating population density value for Connecticut watersheds and estimating percent imperviousness for CT Census tracts and watersheds. ASPRS 2004. 8.1 Mb


No presentations posted for 2003

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

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

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

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

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

Back to Top


No presentations posted for 2001

Assessment of Land Use Change and Forest Fragmentation through Remote Sensing-based Visualizations - How do you use remote sensing based visualizations to assess land use change and forest fragmentation? You will have an idea after you view this presentation. ASPRS 2000.

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