Wide-area mapping of small-scale features in agricultural landscapes using airborne remote sensing

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 109, Issue , 2015, Pages 165-177

  O'Connell, Jerome ^a   Bradter, Ute ^a   Benton, Tim G ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Aerial photography; Agriculture; Classification; Object orientated; Random forest; Spatial analysis

Indexed keywords

AERIAL PHOTOGRAPHY; AGRICULTURAL MACHINERY; AGRICULTURE; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION TREES; ECOLOGY; ECOSYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PHOTOGRAPHIC EQUIPMENT; PHOTOGRAPHY; REMOTE SENSING; SUSTAINABLE DEVELOPMENT; WOODEN FENCES;

AGRICULTURAL LANDSCAPES; AIRBORNE REMOTE SENSING; HIGH SPATIAL RESOLUTION; OBJECT BASED IMAGE ANALYSIS; OBJECT ORIENTATED; RANDOM FORESTS; SPATIAL ANALYSIS; SPATIAL CONFIGURATION;

IMAGE CLASSIFICATION;

AERIAL PHOTOGRAPHY; AGRICULTURAL LAND; ALGORITHM; ECOSYSTEM SERVICE; FOOD PRODUCTION; HABITAT QUALITY; IMAGE ANALYSIS; PASSERINE; REMOTE SENSING; SPATIAL RESOLUTION; SUSTAINABILITY;

AVES; CITRONELLA; EMBERIZA; EMBERIZA CITRINELLA;

EID: 84943617428     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.09.007     Document Type: Article

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