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Modeling species distribution in Kenya influenced by environmental parameters using Random Forest algorithm

Rudolph, Annika (2014) Modeling species distribution in Kenya influenced by environmental parameters using Random Forest algorithm. Bachelor's, Julius-Maximilians-Universität Würzburg.

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Item URL in elib:https://elib.dlr.de/93142/
Document Type:Thesis (Bachelor's)
Title:Modeling species distribution in Kenya influenced by environmental parameters using Random Forest algorithm
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rudolph, AnnikaUNSPECIFIEDUNSPECIFIED
Date:29 September 2014
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:50
Status:Published
Keywords:species distribution, Kenya, Random Forest, MODIS
Institution:Julius-Maximilians-Universität Würzburg
Department:Lehrstuhl für Fernerkundung
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Wöhrl, Monika
Deposited On:12 Dec 2014 14:55
Last Modified:12 Dec 2014 14:55

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