The application of remote sensing to resource management and environmental quality programs in Kansas

Activities of the Kansas Applied Remote Sensing Program (KARS) designed to establish interactions on cooperative projects with decision makers in Kansas agencies in the development and application of remote sensing procedures are reported. Cooperative demonstration projects undertaken with several different agencies involved three principal areas of effort: Wildlife Habitat and Environmental Analysis; Urban and Regional Analysis; Agricultural and Rural Analysis. These projects were designed to concentrate remote sensing concepts and methodologies on existing agency problems to insure the continued relevancy of the program and maximize the possibility for immediate operational use. Completed projects are briefly discussed

Monitoring of Urban Growth and its Related Environmental Impacts: Niamey Case Study (Niger)

AbstractThe present contribution is about a preliminary study of the evolution of Niamey city (Niger) during last decades.Recent advances in remote sensing, both in satellite hardware technology and image availability development, provide opportunities image collection and multitemporal analysis on urban form and size that can be useful for policy and planning. Some opportunities for, and limitations on, monitoring urban growth using remote sensing data are shown in the present contribution; moreover examples of environmental impacts of urban growth, as monitored with remote sensing, are provided in order to define future development of dumps and quarries and its environmental impacts on Niamey city

Advances in remote sensing applications for urban sustainability

Abstract: It is essential to monitor urban evolution at spatial and temporal scales to improve our understanding of the changes in cities and their impact on natural resources and environmental systems. Various aspects of remote sensing are routinely used to detect and map features and changes on land and sea surfaces, and in the atmosphere that affect urban sustainability. We provide a critical and comprehensive review of the characteristics of remote sensing systems, and in particular the trade-offs between various system parameters, as well as their use in two key research areas: (a) issues resulting from the expansion of urban environments, and (b) sustainable urban development. The analysis identifies three key trends in the existing literature: (a) the integration of heterogeneous remote sensing data, primarily for investigating or modelling urban environments as a complex system, (b) the development of new algorithms for effective extraction of urban features, and (c) the improvement in the accuracy of traditional spectral-based classification algorithms for addressing the spectral heterogeneity within urban areas. Growing interests in renewable energy have also resulted in the increased use of remote sensing—for planning, operation, and maintenance of energy infrastructures, in particular the ones with spatial variability, such as solar, wind, and geothermal energy. The proliferation of sustainability thinking in all facets of urban development and management also acts as a catalyst for the increased use of, and advances in, remote sensing for urban applications

Remote Sensing in Applications of Geoinformation

Remote sensing, especially from satellites, is a source of invaluable data which can be used to generate synoptic information for virtually all parts of the Earth, including the atmosphere, land, and ocean. In the last few decades, such data have evolved as a basis for accurate information about the Earth, leading to a wealth of geoscientific analysis focusing on diverse applications. Geoinformation systems based on remote sensing are increasingly becoming an integral part of the current information and communication society. The integration of remote sensing and geoinformation essentially involves combining data provided from both, in a consistent and sensible manner. This process has been accelerated by technologically advanced tools and methods for remote sensing data access and integration, paving the way for scientific advances in a broadening range of remote sensing exploitations in applications of geoinformation. This volume hosts original research focusing on the exploitation of remote sensing in applications of geoinformation. The emphasis is on a wide range of applications, such as the mapping of soil nutrients, detection of plastic litter in oceans, urban microclimate, seafloor morphology, urban forest ecosystems, real estate appraisal, inundation mapping, and solar potential analysis

Effect of Urban Growth on Urban Thermal Environment: A Case Study of Sekondi-Takoradi Metropolis of Ghana

The Sekondi-Takoradi Metropolis of Ghana has been experiencing fast urban growth over the past two decade. This urban growth has resulted in changes in the surface cover which consequently has cause remarkable urban thermal environmental problems. This research used two multi-temporal Landsat Thematic (TM) and Enhanced Thematic Mapper Plus (ETM+) images of the years 1991 and 2008 respectively to evaluate the effect of urban growth on land surface temperature (LST) using an integrated remote sensing and GIS approach. Several remote sensing techniques were used to carry out urban growth analysis. This assisted in determining the changes that have taken place over the 17 year period. The integrated use of remote sensing and GIS was subsequently employed to analyse the effect of urban growth on surface temperature. Local climate change was also studied using multi-decade temperature data. The results showed that urban development had increased surface radiant temperature in the study area by 4.3 °C in the urban expanded areas. The results suggest that urban expansion has a certain effect on the monthly average surface temperature as well the seasonal average temperature changes of the Metropolis. Keywords: Land Surface Temperature, Urban Growth, Remote Sensing, Urban Heat Island, NDV

Analysis of urban sprawl at mega city Cairo, Egypt using multisensoral remote sensing data, landscape metrics and gradient analysis

This paper is intended to highlight the capabilities of synergistic usage of remote sensing, landscape metrics and gradient analysis. We aim to improve the understanding of spatial characteristics and effects of urbanization on city level. Multisensoral and multitemporal remotely sensed data sets from the Landsat and TerraSAR-X sensor enable monitoring a long time period with area-wide information on the spatial urban expansion over time. Landscape metrics aim to quantify patterns on urban footprint level complemented by gradient analysis giving insight into the spatial developing of spatial parameters from the urban center to the periphery. The results paint a characteristic picture of the emerging spatial urban patterns at mega city Cairo, Egypt since the 1970s

Trend Analysis of Las Vegas Land Cover and Temperature Using Remote Sensing

The Las Vegas urban area expanded rapidly during the last two decades. In order to understand the impacts on the environment, it is imperative that the rate and type of urban expansion is determined. Remote sensing is an efficient and effective way to study spatial change in urban areas and Spectral Mixture Analysis (SMA) is a valuable technique to retrieve subpixel landcover information from remote sensing images. In this research, urban growth trends in Las Vegas are studied over the 1990 to 2010 period using images from Landsat 5 Thematic Mapper (TM) and National Agricultural Imagery Program (NAIP). The SMA model of TM pixels is calibrated using high resolution NAIP classified image. The trends of land cover change are related to the land surface temperature trends derived from TM thermal infrared images. The results show that the rate of change of various land covers followed a linear trend in Las Vegas. The largest increase occurred in residential buildings followed by roads and commercial buildings. Some increase in vegetation cover in the form of tree cover and open spaces (grass) is also seen and there is a gradual decrease in barren land and bladed ground. Trend analysis of temperature shows a reduction over the new development areas with increased vegetation cover especially, in the form of golf courses and parks. This research provides a useful insight about the role of vegetation in ameliorating temperature rise in arid urban areas

Methodological approach for mapping ecosystem services in urban and suburban areas.

In Urban and suburban areas, the technology of remote sensing can offer a practical and economical means to study ecological quality of cities based on the specific functions or functional groups/biodiversity which support the supply of ecosystem services (e.g. habitats for species, maintenance of genetic diversity). This is because many ES are ecological processes or directly products by them. Other ecological processes can have detrimental effects on service supply. Thus, mapping the spatial distribution and the degree of ecosystem functionality can provide useful information of the service provided by them to the urban population. Within the framework of the Urbangaia project, the purpose of this study is to bridge present a methodology of ecosystem service related research in ecology and remote sensing in urban areas. Specifically, the study presents a remote sensing-based method for ES potential assessment in four European studies cases- Ghent, Coimbra, Vilnius and Leipzing-. Land cover was used as a proxy measure of ecosystem services because of its multiple linkages to carbon storage, watershed protection, and other types of services. For each land cover type, the services provided by the ecosystem are identified and given a monetary value based on previous studies and original calculations. A GeoEye-1 Satellite Sensor (0.5m spatial resolution) has been used in each study case, for its broad spatial coverage of its images. Several key areas are considered such as land cover, biodiversity, carbon, water and soil related ecosystem service. By the analysis of the different studies cases, the study also gives some global recommendation.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech