Review of studies on tree species classification from remotely sensed data
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- 作者：Fabian Ewald Fassnachta ; fabian.fassnacht@kit.edu" class="auth_mail" title="E-mail the corresponding author ; Hooman Latifib ; hooman.latifi@uni-wuerzburg.de" class="auth_mail" title="E-mail the corresponding author ; Krzysztof Stereńczakc ; k.sterenczak@ibles.waw.pl" class="auth_mail" title="E-mail the corresponding author ; Aneta Modzelewskac ; a.modzelewska@ibles.waw.pl" class="auth_mail" title="E-mail the corresponding author ; Michael Lefskyd ; lefsky@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Lars T. Wasere ; lars.waser@wsl.ch" class="auth_mail" title="E-mail the corresponding author ; Christoph Straubf ; Christoph.Straub@lwf.bayern.de" class="auth_mail" title="E-mail the corresponding author ; Aniruddha Ghoshg ; anighosh@ucdavis.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Forestry ; Remote sensing ; Scale ; Tree species ; Classification ; Mapping ; Validation
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：1 December 2016
- 年：2016
- 卷：186
- 期：Complete
- 页码：64-87
- 全文大小：4178 K
文摘
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A review of remote-sensing based tree species classification is provided.
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Descriptive statistics on publication year, biomes, species numbers & sensor types
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Species related traits, classification methods and research gaps are discussed.
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We identified a lack of studies working with hypothesis driven questions.
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We identified a lack of studies focusing on larger geographic extents.