气候变化领域集成服务门户(CCPortal): Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe

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DOI	10.1016/j.jag.2020.102190
	Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe
	Michez A.; Huylenbroeck L.; Bolyn C.; Latte N.; Bauwens S.; Lejeune P.
发表日期	2020
ISSN	15698432
卷号	92
英文摘要	Forest monitoring tools are needed to promote effective and data driven forest management and forest policies. Remote sensing techniques can increase the speed and the cost-efficiency of the forest monitoring as well as large scale mapping of forest attribute (wall-to-wall approach). Digital Aerial Photogrammetry (DAP) is a common cost-effective alternative to airborne laser scanning (ALS) which can be based on aerial photos routinely acquired for general base maps. DAP based on such pre-existing dataset can be a cost effective source of large scale 3D data. In the context of forest characterization, when a quality Digital Terrain Model (DTM) is available, DAP can produce photogrammetric Canopy Height Model (pCHM) which describes the tree canopy height. While this potential seems pretty obvious, few studies have investigated the quality of regional pCHM based on aerial stereo images acquired by standard official aerial surveys. Our study proposes to evaluate the quality of pCHM individual tree height estimates based on raw images acquired following such protocol using a reference filed-measured tree height database. To further ensure the replicability of the approach, the pCHM tree height estimates benchmarking only relied on public forest inventory (FI) information and the photogrammetric protocol was based on low-cost and widely used photogrammetric software. Moreover, our study investigates the relationship between the pCHM tree height estimates based on the neighboring forest parameter provided by the FI program. Our results highlight the good agreement of tree height estimates provided by pCHM using DAP with both field measured and ALS tree height data. In terms of tree height modeling, our pCHM approach reached similar results than the same modeling strategy applied to ALS tree height estimates. Our study also identified some of the drivers of the pCHM tree height estimate error and found forest parameters like tree size (diameter at breast height) and tree type (evergreenness/deciduousness) as well as the terrain topography (slope) to be of higher importance than image survey parameters like the variation of the overlap or the sunlight condition in our dataset. In combination with the pCHM tree height estimate, the terrain slope, the Diameter at Breast Height (DBH) and the evergreenness factor were used to fit a multivariate model predicting the field measured tree height. This model presented better performance than the model linking the pCHM estimates to the field tree height estimates in terms of r² (0.90 VS 0.87) and root mean square error (RMSE, 1.78 VS 2.01 m). Such aspects are poorly addressed in literature and further research should focus on how pCHM approaches could integrate them to improve forest characterization using DAP and pCHM. Our promising results can be used to encourage the use of regional aerial orthophoto surveys archive to produce large scale quality tree height data at very low additional costs, notably in the context of updating national forest inventory programs. © 2020 The Authors
英文关键词	Large frame aerial imagery; Photogrammetry; Structure from motion; Tree height
语种	英语
scopus关键词	airborne sensing; airborne survey; digital terrain model; forest canopy; forest inventory; height determination; orthophoto; photogrammetry; Western Europe
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156423
作者单位	University Rennes 2 LETG (CNRS UMR 6554), Place du Recteur Henri Le Moal, Rennes cedex, 35043, France; University of Liège (ULiege), Gembloux Agro-Bio Tech, TERRA Teaching and Research Centre (Forest is Life). 2, Passage des Déportés, Gembloux, 5030, Belgium
推荐引用方式 GB/T 7714	Michez A.,Huylenbroeck L.,Bolyn C.,et al. Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe[J],2020,92.
APA	Michez A.,Huylenbroeck L.,Bolyn C.,Latte N.,Bauwens S.,&Lejeune P..(2020).Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe.International Journal of Applied Earth Observation and Geoinformation,92.
MLA	Michez A.,et al."Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe".International Journal of Applied Earth Observation and Geoinformation 92(2020).