A framework for large-area mapping of past and present cropping activity using seasonal landsat images and time series metrics

Remote Sensing

Volumn 8, Issue 4, 2016, Pages

  Schmidt, Michael ^a   Pringle, Matthew ^a   Devadas, Rakhesh ^b   Denham, Robert ^a   Tindall, Dan ^a  

^a DEPARTMENT OF ENVIRONMENT AND RESOURCE MANAGEMENT   (Australia)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Agriculture; Classification; Crop mapping; Data mining; GEOBIA; Land management; Land use; Landsat Time Series (LTS); Synthetic image generation; Time series

Indexed keywords

AGRICULTURE; CLASSIFICATION (OF INFORMATION); CROPS; DATA MINING; DECISION TREES; LAND USE; NATURAL RESOURCES MANAGEMENT; PHOTOMAPPING; TIME SERIES;

CROP MAPPING; GEOBIA; LAND MANAGEMENTS; LANDSAT TIME SERIES; SYNTHETIC IMAGE GENERATION;

MAPPING;

EID: 84971597268     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs8040312     Document Type: Article

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