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Support vector machine to map oil palm in a heterogeneous environment · Peerford

Article · Journal · 2014

Support vector machine to map oil palm in a heterogeneous environment

Isaac Nooni, A.A. Duker, I. Van Duren, Louis Addae‐Wireko, Edward Matthew Osei

International Journal of Remote Sensing

Closed access
International · 2 countries

Go to the publisher 10.1080/01431161.2014.930201

Citations: 56from other works
Field-weighted impact: 1.941.00 is the world average for its field and year
Among its field: 84th percentileby citations, against works of its field and year
Authors: 5from 3 institutions

Authors

5 authors across 3 institutions in 2 countries

Isaac NooniFirst authorCorresponding
as printed: I.K. Nooni
A.A. Duker
- Kwame Nkrumah University of Science and Technology (GH)
I. Van Duren
Louis Addae‐Wireko
- Kwame Nkrumah University of Science and Technology (GH)
as printed: L. Addae-Wireko
Edward Matthew OseiSenior author
- Kwame Nkrumah University of Science and Technology (GH)
as printed: E.M. Osei Jnr

Countries on it

Ghana

Also on it

International Institute for Geo-Information Science and Earth Observationfacility · NL
University of Twenteeducation · NL

Fields

A work can sit in several, each with a score

Oil Palm Production and SustainabilityTopic
Remote Sensing in AgricultureTopic
Remote-Sensing Image ClassificationTopic