DOI: 10.1016/j.jag.2014.09.002
Scopus记录号: 2-s2.0-84938751712
论文题名: Combined use of lidar data and multispectral earth observation imagery for wetland habitat mapping
作者: Rapinel S ; , Hubert-Moya L ; , Clémentb' B
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 37 起始页码: 56
结束页码: 64
语种: 英语
英文关键词: CORINE biotopes
; Object-based classification
; Vegetation formations
; Very high spatial resolution
; Wetland function
Scopus关键词: ecosystem function
; habitat type
; image classification
; lidar
; mapping
; multispectral image
; spatial resolution
; wetland
英文摘要: Although wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon and providing an abundance of ecological services, the inventory and characterization of wetland habitats are most often limited to small areas. This explains why the understanding of their ecological functioning is still insufficient for a reliable functional assessment on areas larger than a few hectares. While LiDAR data and multispectral Earth Observation (EO) images are often used separately to map wetland habitats, their combined use is currently being assessed for different habitat types. The aim of this study is to evaluate the combination of multispectral and multiseasonal imagery and LiDAR data to precisely map the distribution of wetland habitats. The image classification was performed combining an object-based approach and decision-tree modeling. Four multispectral images with high (SPOT-5) and very high spatial resolution (Quickbird, KOMPSAT-2, aerial photographs) were classified separately. Another classification was then applied integrating summer and winter multispectral image data and three layers derived from LiDAR data: vegetation height, microtopography and intensity return. The comparison of classification results shows that some habitats are better identified on the winter image and others on the summer image (overall accuracies = 58.5 and 57.6%). They also point out that classification accuracy is highly improved (overall accuracy = 86.5%) when combining LiDAR data and multispectral images. Moreover, this study highlights the advantage of integrating vegetation height, microtopography and intensity parameters in the classification process. This article demonstrates that information provided by the synergetic use of multispectral images and LiDAR data can help in wetland functional assessment. © 2014 Elsevier B.V.. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79518
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: LETG-RENNES COSTEL UMR CNRS 6554, Université Rennes 2, Place du recteur Henri Le Moal, Rennes cedex, France; ECOBIO UMR CNRS 6553, Université Rennes 1, Avenue Général Leclerc, Rennes cedex, France
Recommended Citation:
Rapinel S,, Hubert-Moya L,, Clémentb' B. Combined use of lidar data and multispectral earth observation imagery for wetland habitat mapping[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,37