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Author (up) Müller, Hannes; Rufin, Philippe; Griffiths, Patrick; Siqueira, Auberto; Hostert, Patrick url  doi
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  Title Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape Type Journal Article
  Year 2015 Publication Remote Sensing of Environment Abbreviated Journal RSE  
  Volume Issue Pages  
  Keywords Compositing; Spectral–Temporal metrics; Landsat time series; Land use and land cover classification; Brazilian Cerrado; Savannas  
  Abstract Better spatial information on the global distribution of croplands and pastures is urgently needed. Without

reliable cropland–pasture separation it will be impossible to retrieve high-quality information on agricultural ex-

pansion or land use intensification, and on related ecosystem service provision. In this context, the savanna

biome is critically important, but information on land use and land cover (LULC) is notoriously inaccurate in

these areas. This is due to pronounced spatial–temporal dynamics of agricultural land use and spectral similari-

ties between cropland, pasture, and natural savanna vegetation. In this study, we investigated the potential to re-

liably separate cropland, pasture, natural savanna vegetation, and other relevant land cover classes employing

Landsat-derived spectral–temporal variability metrics for a savanna landscape in the Brazilian Cerrado. In

order to better understand the surplus value and limitations of spectral–temporal variability metrics for classifi-

cation purposes, we analyzed four datasets of different temporal depth, using 344 Landsat scenes across four

footprints between 2009 and 2012. Our results showed a reliable separation between cropland, pasture, and nat-

ural savanna vegetation achieving an adjusted overall accuracy of 93%. A similar accuracy and spatial consistency

of LULC classification could not be achieved based on spectral information alone, indicating the high additional

value of temporal information for identifying LULC classes in the complex land use systems of savanna land-

scapes. There is great potential for transferring our approach to other savanna systems which still suffer from

inaccurate LULC information.
 
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  Call Number geomatics @; geomatik @ Serial 351  
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