Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Mathias Wessel; Melanie Brandmeier; Dirk Tiede

doi:10.3390/rs10091419

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Mathias Wessel, Melanie Brandmeier, Dirk Tiede^*

^*Corresponding author for this work

Geoinformatics

Research output: Contribution to journal › Article › peer-review

Translated title of the contribution	Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data
Original language	English
Article number	1419
Journal	Remote Sensing
Volume	10
Issue number	9
DOIs	https://doi.org/10.3390/rs10091419
Publication status	Published - 1 Sept 2018

Keywords

Forest classification
GIS
Random Forest
Remote sensing
Support Vector Machines

Fields of Science and Technology Classification 2012

105 Geosciences
207 Environmental Engineering, Applied Geosciences

Access to Document

10.3390/rs10091419

Cite this

@article{7790411dd9854339af4beded43e49c87,

title = "Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data",

keywords = "Forest classification, GIS, Random Forest, Remote sensing, Support Vector Machines",

author = "Mathias Wessel and Melanie Brandmeier and Dirk Tiede",

year = "2018",

month = sep,

day = "1",

doi = "10.3390/rs10091419",

language = "English",

volume = "10",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "9",

}

TY - JOUR

T1 - Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

AU - Wessel, Mathias

AU - Brandmeier, Melanie

AU - Tiede, Dirk

PY - 2018/9/1

Y1 - 2018/9/1

KW - Forest classification

KW - GIS

KW - Random Forest

KW - Remote sensing

KW - Support Vector Machines

UR - http://www.scopus.com/inward/record.url?scp=85053627427&partnerID=8YFLogxK

U2 - 10.3390/rs10091419

DO - 10.3390/rs10091419

M3 - Article

AN - SCOPUS:85053627427

SN - 2072-4292

VL - 10

JO - Remote Sensing

JF - Remote Sensing

IS - 9

M1 - 1419

ER -

Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data

Keywords

Fields of Science and Technology Classification 2012

Access to Document

Other files and links

Cite this