Maize cropping systems mapping using rapideye observations in agro-ecological landscapes in Kenya

Sensors (Switzerland)

Volumn 17, Issue 11, 2017, Pages

  Richard, Kyalo ^a   Abdel Rahman, Elfatih M ^a,b   Subramanian, Sevgan ^a   Nyasani, Johnson O ^a,c   Thiel, Michael ^d   Jozani, Hosein ^d   Borgemeister, Christian ^e   Landmann, Tobias ^a  

^a INTERNATIONAL CENTRE OF INSECT PHYSIOLOGY AND ECOLOGY ICIPE   (Kenya)

^b UNIVERSITY OF KHARTOUM   (Sudan)

^c KENYA AGRICULTURAL AND LIVESTOCK RESEARCH ORGANIZATION   (Kenya)

^d UNIVERSITY OF WÜRZBURG   (Germany)

^e UNIVERSITY OF BONN   (Germany)

Author keywords

Bi temporal; Cropping systems; Kenya; Random forest; RapidEye

Indexed keywords

CROPS; DECISION TREES; ECOLOGY; LAND USE; MAPPING;

CLASSIFICATION APPROACH; CROPPING SYSTEMS; KENYA; RANDOM FORESTS; RAPIDEYE; SATELLITE ACQUISITION; SPATIAL AND TEMPORAL RESOLUTIONS; WIDE AREA ASSESSMENTS;

HIERARCHICAL SYSTEMS;

AGRICULTURE; CROP; DEVICES; ECOLOGY; HUMAN; KENYA; MAIZE; PHYSIOLOGY; PROCEDURES; TELECOMMUNICATION;

AGRICULTURE; CROPS, AGRICULTURAL; ECOLOGY; HUMANS; KENYA; SATELLITE COMMUNICATIONS; ZEA MAYS;

EID: 85033407593     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17112537     Document Type: Article

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