Estimate of Peatland Distribution in Estonia Using an Integrated GIS/RS Approach

Proceedings of the 33rd International Symposium on Remote Sensing of Environment, 2009

Gardi C, Sommer S, Seep K, and Montanarella L.

“Determination of the spatial extent of peatland is important for the evaluation of soil carbon stocks. At European Level there is a need to provide accurate and updated estimate of the distribution of peatland. Comparison of national data with EU wide land cover mapping shows that there is limited compatibility between the different data sets. The aim of the present study is to test a methodology of standardized mapping and monitoring of peatlands at regional level (national to supra-national bio-climatic regions) based on the enhanced integration of existing thematic maps through GIS analysis in combination with remote sensing, using Estonia as study case. Existing national maps and field inventory of Estonian peatlands have been used for a GIS based evaluation of peatland relevant information contained in Corine Land Cover. Remote sensing has been employed in 2 ways: a multispectral approach using Landsat TM and a phenology oriented time series analysis of SPOT VEGETATION NDVI both implemented for the entire territory of Estonia. The remote sensing results are evaluated against the existing high resolution Estonian map of peatlands. In the case study it could be shown that peatlands are both spectrally and phenologically clearly distinct from other land cover types and therefore have a good potential to allow semiautomated mapping over large areas with relatively high accuracy, which lays the basis for efficient montoring and mapping of peatland change.”

Social Disorganization and Crisis Intervention: A Spatial Analysis

Paper presented at The American Society of Criminology Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA, 04 November 2009

Cindy Stewart

“Responding to Watson, et al’s (2008) hypotheses related to social disorganization and police intervention with persons in mental health crisis, this study utilizes spatial analysis to address whether Crisis Intervention Team (CIT) responses vary across geographic areas. GIS mapping is utilized to test whether factors of social disorganization play a role in crisis intervention outcomes.”

Quantifying Human Disturbance in Watersheds: Variable Selection and Performance of a GIS-based Disturbance Index for Predicting the Biological Condition of Perennial Streams

Ecological Indicators, Volume 10, Issue 2, March 2010, Pages 264-273

James A. Falcone, Daren M. Carlisle, and Lisa C. Weber

“Characterizing the relative severity of human disturbance in watersheds is often part of stream assessments and is frequently done with the aid of Geographic Information System (GIS)-derived data. However, the choice of variables and how they are used to quantify disturbance are often subjective. In this study, we developed a number of disturbance indices by testing sets of variables, scoring methods, and weightings of 33 potential disturbance factors derived from readily available GIS data. The indices were calibrated using 770 watersheds located in the western United States for which the severity of disturbance had previously been classified from detailed local data by the United States Environmental Protection Agency (USEPA) Environmental Monitoring and Assessment Program (EMAP). The indices were calibrated by determining which variable or variable combinations and aggregation method best differentiated between least- and most-disturbed sites. Indices composed of several variables performed better than any individual variable, and best results came from a threshold method of scoring using six uncorrelated variables: housing unit density, road density, pesticide application, dam storage, land cover along a mainstem buffer, and distance to nearest canal/pipeline. The final index was validated with 192 withheld watersheds and correctly classified about two-thirds (68%) of least- and most-disturbed sites. These results provide information about the potential for using a disturbance index as a screening tool for a priori ranking of watersheds at a regional/national scale, and which landscape variables and methods of combination may be most helpful in doing so.”