Sustainability seeks a way for human and natural systems to work together so that all species can survive and thrive over the long term, both locally and globally. The Bachelor of Science in Sustainability provides the broad fundamental knowledge, skills and competencies needed to drive sustainable outcomes that address today's urgent environmental, economic and social challenges. This degree can be applied across a wide range of fields, from management, design and planning to environmental services in business, nonprofit and public institutions.

https://www.jstage.jst.go.jp/article/sesj1988/19/5/19_5_415/_pdf

持続可能性(Sustainability)の要件

Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery

Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends

Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing

Urban sprawl: metrics, dynamics and modelling using GIS

Development of a geospatial model to quantify, describe and map urban growth

Remotely sensed land cover data can be a tremendous resource to land use decision makers, yet there is often a disconnect between the worlds of remote sensing and local government. The Connecticut’s Changing Landscape project is focused on bridging this gap. The project analyzes changes to the state’s landscape using Landsat-derived 30-m land cover and cross-correlation analysis. It includes seven dates spanning 30 years, from 1985 to 2015. During this period an additional 4.7 percent of the state was converted to development-related land covers, with corresponding losses to forest and agricultural land. New development was for the most part in attenuated patterns rather than concentrated near existing developed areas. Additional land cover analyses were conducted of agricultural areas, riparian corridors, core forest, and watershed imperviousness, to more closely examine issues of sustainability. Particular care is taken to make research findings accessible, understandable, and usable for the public through traditional outreach methods, and increasingly through internet mapping technology. As a result, the project has become a widely used resource informing the work of state, regional and local governments, nonprofit organizations, and researchers. A more concerted effort to integrate research and outreach is needed to ensure that land cover research has an impact on issues of land use and sustainability.

30 Years of Land Cover Change in Connecticut, USA: A Case Study of Long-Term Research, Dissemination of Results, and Their Use in Land Use Planning and Natural Resource Conservation

Technological advances in remote-sensing (RS) science and cultural changes brought about by the "digital revolution" are combining to bring the worlds of remote sensing and land-use planning closer together. The University of Connecticut is engaged in a series of three projects that investigate RS-based decision support systems (DSS) f o r local land-use officials. The NEMO Project is focused on town-level decisions, the Connecticut River Watersheds Project is focused on watershedlevel decisions, and the NAUTILUS Project is working on specific tools addressing urban sprawl. Each DSS is built upon a delivery system of professional outreach educational programs, based on RS information, and enhanced through the use of geographic information systems (CIS). A review of this work demonstrates that, when integrated with applications and outreach to form tailored decision support systems, RS information can be a powerful force in assisting local officials to plan better the growth of their communities. The Need for Better Land-Use Decisions Land use is the common thread that runs through some of the most vital issues facing America's communities today — issues like economic growth, natural resource protection, and quality of life. The need for more informed land-use decisions has become a priority issue for agencies and organiza tions from the Environmental Protection Agency to the National Homebuilder's Association, and is manifested in new programs focused on topics such as "sprawl," "liveable communities," and "smart growth." Evidence of the environmental, social, and economic

https://nemo.uconn.edu/publications/geospatial_pubs/remote_sensing_asa_decision1.pdf

Remote-Sensing-Enhanced Outreach Education as a Decision Support System for Local Land-Use Officials

Located between the two major metropolitan centers of New York and Boston, Connecticut is continuously faced with the difficult challenge of balancing natural resource protection with economic growth and development. Realizing the importance of spatial information in making informed land use decisions, researchers and educators at the University of Connecticut’s Center for Land use Education and Research (CLEAR) are working to provide needed information, education, and assistance to local land use decision makers. Now a part of CLEAR, research conducted under NAUTILUS – NASA’s Northeast Regional Earth Science Applications Center (RESAC) – is being used to identify and quantify impervious surfaces, urban growth, and forest fragmentation. The intent is to make this information available to local land use decision makers in Connecticut to assist them in planning activities. Various techniques have been applied to generate statewide information from Landsat imagery. Estimates of percent impervious surfaces were derived directly from the image data by using sub-pixel classification. Urban growth and forest fragmentation models depend on land cover as their input information. Land cover was derived for four dates of imagery over a 17-year period using a variety of methods including sub-pixel classification, supervised and unsupervised classification, and cross-correlation analysis. The urban growth model identifies areas of urban development and categorizes growth into one of five types: in-fill, expansion, isolated, linear branching, or clustered branching. The forest fragmentation model classifies forest pixels as one of five types: interior, perforated, edge, transition, or patch. Additionally the state of forest fragmentation is calculated for selected areas. This paper describes the generation of each of these information layers and how they are being applied as tools for land use planning in Connecticut.

https://clear.uconn.edu/publications/research/tech_papers/Hurd_at_al_ASPRS2003.pdf

Temporal characterization of connecticut's landscape: methods, results, and applications

Coastal Area Land-Cover Change Analysis for Connecticut

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