TY  - RPRT
AU  - Kunzer, Claudia
AU  - Fosnight, Eugene A.
PY  - 2002//
TI  - Satellite images for land cover monitoring-navigating through the maze
BT  - Information for Decision Making Series, United Nations Environment Programme
KW  - Africa
KW  - agriculture
KW  - application
KW  - archive
KW  - area
KW  - Asia
KW  - assessment
KW  - change
KW  - data
KW  - data center
KW  - data source
KW  - decision-making
KW  - development
KW  - disaster
KW  - drying
KW  - Earth
KW  - Earth observation
KW  - environment
KW  - environmental change
KW  - EROS
KW  - EROS Data Center
KW  - fire
KW  - forest
KW  - forest cover
KW  - forest cover change
KW  - forest fire
KW  - forestry
KW  - global
KW  - global change
KW  - global change research
KW  - global dataset
KW  - growth
KW  - human
KW  - human activity
KW  - hydrology
KW  - ice
KW  - image
KW  - imagery
KW  - integration
KW  - lake
KW  - land
KW  - land cover
KW  - land use
KW  - land use/land cover
KW  - Landsat
KW  - Landsat 1
KW  - Landsat data
KW  - large area
KW  - Las Vegas
KW  - map
KW  - meteorological satellite
KW  - military
KW  - NASA
KW  - National Aeronautics and Space Administration (NASA)
KW  - natural disaster
KW  - non-USGS series
KW  - North America
KW  - polar region
KW  - publication
KW  - regional
KW  - remote sensing
KW  - remote sensing image
KW  - Reports
KW  - research
KW  - satellite
KW  - satellite data
KW  - satellite image
KW  - satellite imagery
KW  - satellite remote sensing
KW  - Sioux Falls
KW  - South America
KW  - South Dakota
KW  - spatial
KW  - spatial data
KW  - SPOT
KW  - Systeme Pour l'observation de la Terre (SPOT)
KW  - technique
KW  - technology
KW  - time series
KW  - U.S.Geological Survey (USGS)
KW  - UNEP
KW  - United Nations Environment Programme (UNEP)
KW  - urban
KW  - urban growth
KW  - urban sprawl
KW  - USGS
KW  - west Asia
KW  - wetland
N2  - 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'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 "hot spots" (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'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.
SN  - http://na.unep.net/siouxfalls/reparchive.php
UR  - http://na.unep.net/siouxfalls/reparchive.php
N1  - exported from refbase (http://eros.usgs.gov/refbase/show.php?record=25498), last updated on Fri, 21 Sep 2012 12:14:00 -0500
ID  - Kunzer+Fosnight2002
ER  -