Changes in Croplands as a Result of Large Scale Mining and the Associated Impact on Food Security Studied Using Time-Series Landsat Images

摘要: Geographic information systems and satellite remote sensing are emerging technologies in land-cover change assessment. They now provide an opportunity to gain insights into properties through the spatio-temporal data capture over several decades. The time series of Landsat images covering 1985–2009 period is used here explore impacts surface mining reclamation, which constitute a dominant force changes northwestern regions Czech Republic. Advanced quantification extent activities important for assessing how these affect ecosystem services such as croplands. employed from 1985, 1988, 1990, 2000, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009 assist mapping mines mine reclamation large few selected areas interest. image processing techniques based on pixel-by-pixel calculation vegetation index, NDVI. NDVI values classified defined classes CORINE Land Cover 2000 3280 km2 strip images. This distribution estimate local interest (184 km2, 368 737 1,474 km2). Thus, approximate stability 3,280 during whole disturbances mines. In case NDVI, it also includes variations, presumably caused by seasonal effects, meteorological conditions. However, main trends related long-term can be clearly understood. As result, other objectives explored period, cropland land use classes, patterns, their food security. presented modeling long 12 provides considerable experience framework identification also, certain degree, variability with its impact