@TechReport{Kunzer+Fosnight2002,
author="Kunzer, Claudia
and Fosnight, Eugene A.",
title="Satellite images for land cover monitoring-navigating through the maze",
year="2002",
optkeywords="Africa",
optkeywords="agriculture",
optkeywords="application",
optkeywords="archive",
optkeywords="area",
optkeywords="Asia",
optkeywords="assessment",
optkeywords="change",
optkeywords="data",
optkeywords="data center",
optkeywords="data source",
optkeywords="decision-making",
optkeywords="development",
optkeywords="disaster",
optkeywords="drying",
optkeywords="Earth",
optkeywords="Earth observation",
optkeywords="environment",
optkeywords="environmental change",
optkeywords="EROS",
optkeywords="EROS Data Center",
optkeywords="fire",
optkeywords="forest",
optkeywords="forest cover",
optkeywords="forest cover change",
optkeywords="forest fire",
optkeywords="forestry",
optkeywords="global",
optkeywords="global change",
optkeywords="global change research",
optkeywords="global dataset",
optkeywords="growth",
optkeywords="human",
optkeywords="human activity",
optkeywords="hydrology",
optkeywords="ice",
optkeywords="image",
optkeywords="imagery",
optkeywords="integration",
optkeywords="lake",
optkeywords="land",
optkeywords="land cover",
optkeywords="land use",
optkeywords="land use/land cover",
optkeywords="Landsat",
optkeywords="Landsat 1",
optkeywords="Landsat data",
optkeywords="large area",
optkeywords="Las Vegas",
optkeywords="map",
optkeywords="meteorological satellite",
optkeywords="military",
optkeywords="NASA",
optkeywords="National Aeronautics and Space Administration (NASA)",
optkeywords="natural disaster",
optkeywords="non-USGS series",
optkeywords="North America",
optkeywords="polar region",
optkeywords="publication",
optkeywords="regional",
optkeywords="remote sensing",
optkeywords="remote sensing image",
optkeywords="Reports",
optkeywords="research",
optkeywords="satellite",
optkeywords="satellite data",
optkeywords="satellite image",
optkeywords="satellite imagery",
optkeywords="satellite remote sensing",
optkeywords="Sioux Falls",
optkeywords="South America",
optkeywords="South Dakota",
optkeywords="spatial",
optkeywords="spatial data",
optkeywords="SPOT",
optkeywords="Systeme Pour l{\textquoteright}observation de la Terre (SPOT)",
optkeywords="technique",
optkeywords="technology",
optkeywords="time series",
optkeywords="U.S.Geological Survey (USGS)",
optkeywords="UNEP",
optkeywords="United Nations Environment Programme (UNEP)",
optkeywords="urban",
optkeywords="urban growth",
optkeywords="urban sprawl",
optkeywords="USGS",
optkeywords="west Asia",
optkeywords="wetland",
abstract="Increasing concern over how human activities interact and influence the global environment have led to the initiation and formulation of a number of environment assessment programs, treaties and agreements which call for increased, systematic observation of Earth systems. Such systematic observations require consistent, geographically referenced data that can be acquired over large areas repeatedly and at a reasonably low cost, using remote sensing technology. Since the launch of the first Meteorological Satellite in 1960, satellite remote sensing has emerged to be a cost-effective method for conducting time-series, large-scale observations of the Earth{\textquoteright}s systems. Satellite images can be used to map the entire world and to generate a number of global datasets needed for various thematic applications. This publication directly addresses these issues by focusing on a number of {\textquoteleft}{\textquoteleft}hot spots{\textquoteright}{\textquoteright} (i.e., locations that have undergone very rapid environmental change) by using stateof- the-art remote sensing and spatial data integration techniques to analyze and document these changes over a 30-year period (1972-2001). The hot spots cover major and diverse themes across the world, ranging from forest cover change in Rondonia (South America), urban sprawl in Las Vegas (North America), drying of Lake Chad (Africa), demise of wetlands in Mesopotamia (West Asia), emerging urban growth centers in Asia, to the ice shelf collapse in Polar regions. The primary data source for this project is the Landsat archive of digital satellite data housed at the USGS EROS Data Center, Sioux Falls, South Dakota. This unique archive is the longest running enterprise for the acquisition of satellite imagery of the Earth{\textquoteright}s surface from space; it thus provides a periodic and immensely valuable record of the state of the global environment dating back to 1972. Landsat was the first Earth observation satellite developed by NASA. Landsat 1 was launched on July 23, 1972. Since then, six additional satellites have been launched, the latest in 1999. Landsat data are arguably the most extensively used satellite datasets in the world; their applications range from global change research to assessment of land use/land cover, forest fires, forestry, agriculture, hydrology, natural disasters, and also many other disciplines. These datasets are being used by international, regional and national institutions representing government, commercial, industrial, civilian, military, and educational communities worldwide. The analyses made in this publication directly contribute to the mission of UNEP capacities to provide objective documentation and scientific evidence of environmental changes to governments and international development agencies, as well as civil society.",
optnote="exported from refbase (http://eros.usgs.gov/refbase/show.php?record=25498), last updated on Fri, 21 Sep 2012 12:14:00 -0500",
issn="http://na.unep.net/siouxfalls/reparchive.php",
opturl="http://na.unep.net/siouxfalls/reparchive.php"
}