Assessment of multi-resolution image data for mangrove leaf area index mapping
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- 作者：Muhammad Kamala ; b ; m.kamal@uq.edu.au" class="auth_mail" title="E-mail the corresponding author ; m.kamal@ugm.ac.id" class="auth_mail" title="E-mail the corresponding author ; Stuart Phinna ; s.phinn@uq.edu.au" class="auth_mail" title="E-mail the corresponding author ; Kasper Johansena ; k.johansen@uq.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Leaf area index ; Mangroves ; Spatial resolution ; Segmentation ; Regression analysis ; Spectral vegetation indices
- 刊名：Remote Sensing of Environment
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：176
- 期：Complete
- 页码：242-254
- 全文大小：2710 K
文摘
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We assessed different image pixel sizes and segmentation sizes for LAI estimation.
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NDVI and ALOS AVNIR-2 are the best LAI predictors for the study sites.
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The optimum pixel size to estimate LAI correlates with the dominant object size.
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The size of the field plot correlates with the optimum pixel size to estimate LAI.
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Image segmentation significantly increases the accuracy of LAI estimates.