中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Co-Registration of Two DEMs: Impacts on Forest Height Estimation From SRTM and NED at Mountainous Areas

文献类型:SCI/SSCI论文

作者Ni W. J. ; Sun G. Q. ; Zhang Z. Y. ; Guo Z. F. ; He Y. T.
发表日期2014
关键词Digital elevation model (DEM) co-registration forest canopy height mountain National Elevation Dataset (NED) Shuttle Radar Topography Mission (SRTM) elevation data biomass lidar
英文摘要The digital elevation model from the Shuttle Radar Topography Mission (SRTM) and the National Elevation Dataset (NED) have been used to estimate the forest canopy height. Most of such studies have been conducted over flat areas; the method performance has not been carefully examined over mountainous areas. This study, which is conducted over two mountainous test sites located in California and New Hampshire, reveals that the co-registration of these two digital elevation models (DEMs) is crucial to ensuring the quality of the results. The image co-registration method used in interferometric SAR processing is adapted to the co-registration of two DEMs. The forest canopy height from the Laser Vegetation Imaging Sensor (LVIS) is used as the reference data. The results showed that the misregistration between SRTM and NED was very obvious at both test sites. After the co-registration, the R-2 of the correlation between the height of the C-band scattering phase center derived from SRTM minus NED and the forest canopy height derived from LVIS data was improved from 0.19 to 0.51, and RMSE was reduced from 16.4 m to 6.8 m for slope up to 55 degrees at the California test site, while the R-2 was improved from 0.39 to 0.57 and RMSE was reduced from 5.4 m to 3.6 m for slopes up to 45 degrees at the New Hampshire test site. The influences of data resolution and terrain slopes were also investigated. The results showed that reducing the data resolution by spatial averaging could not reduce the influence of DEM misregistration.
出处Ieee Geoscience and Remote Sensing Letters
11
1
273-277
收录类别SCI
语种英语
ISSN号1545-598X
源URL[http://ir.igsnrr.ac.cn/handle/311030/29669]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Ni W. J.,Sun G. Q.,Zhang Z. Y.,et al. Co-Registration of Two DEMs: Impacts on Forest Height Estimation From SRTM and NED at Mountainous Areas. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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