Improving the accuracy of remotely sensed irrigated areas using post-classification enhancement through UAV capability

Remote Sensing

Volumn 10, Issue 5, 2018, Pages

  Nhamo, Luxon ^a   van Dijk, Ruben ^b   Magidi, James ^c   Wiberg, David ^d   Tshikolomo, Khathu ^e  

^a INTERNATIONAL WATER MANAGEMENT INSTITUTE   (South Africa)

^b WAGENINGEN UNIVERSITY   (Netherlands)

^c TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

^d INTERNATIONAL WATER MANAGEMENT INSTITUTE   (Sri Lanka)

^e Limpopo Provincial Government   (South Africa)

Author keywords

Accuracy assessment; Field verification; Irrigated areas; Mapping; Remote sensing; Unmanned aerial vehicle

Indexed keywords

AGRICULTURE; ANTENNAS; CLASSIFICATION (OF INFORMATION); DROUGHT; MAPPING; MAXIMUM LIKELIHOOD; PROCESSING; REMOTE SENSING; SATELLITE IMAGERY; UNMANNED AERIAL VEHICLES (UAV);

ACCURACY ASSESSMENT; FIELD VERIFICATIONS; IMAGE PROCESSING - METHODS; INVASIVE ALIEN SPECIES; IRRIGATED AREAS; NORMALIZED DIFFERENCE VEGETATION INDEX; SATELLITE IMAGE CLASSIFICATION; SUPERVISED CLASSIFIERS;

IMAGE ENHANCEMENT;

EID: 85047555300     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10050712     Document Type: Article

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