浏览全部资源
扫码关注微信
纸质出版日期： 2018-5 ，
录用日期： 2017-7-24
扫 描 看 全 文
倪文俭, 张大凤, 汪垚, 庞勇, 张志玉, 刘见礼, 何亚婷, 郭伟. 2018. 高分二号异轨立体数据的森林高度提取. 遥感学报, 22(3): 392–399
Ni W J, Zhang D F, Wang Y, Pang Y, Zhang Z Y, Liu J L, He Y T and Guo W. 2018. Extraction of forest height by using GF-2 cross-track stereo images. Journal of Remote Sensing, 22(3): 392–399
森林植被碳储量的空间分布格局及其动态变化是陆地生态系统碳收支核算的基础。作为森林地上生物量的重要指示因子，森林高度的精确估算是提高森林植被碳储量估算精度的关键。现有研究已证明，由专业星载摄影测量系统获取的立体观测数据可用于森林高度提取，但光学遥感数据最大的问题是受云雨等天气因素的影响严重。区域森林地上生物量产品的生产需要充分挖掘潜在数据源。国产高分二号卫星(GF-2)虽然不是为获取立体观测数据而设计的专业星载摄影测量系统，但其获取的图像空间分辨率可达0.8 m，且具备±35°的的侧摆能力，在重复观测区域可构成异轨立体观测。本文以分别获取于2015年6月20日和2016年7月19的GF-2数据作为立体像对，其标称轨道侧摆角分别为0.00118°和20.4984°，以激光雷达数据获取的林下地形(DEM)和森林高度(CHM)为参考，对利用GF-2立体观测数据进行森林高度提取进行了研究。通过对立体处理得到的摄影测量点云的栅格化得到DSM，以激光雷达数据提供的DEM作为林下地形，得到了GF-2的CHM。结果表明GF-2提取的CHM与激光雷达CHM空间分布格局较为一致，两者之间存在明显的相关性，像素对像素的线性相关性(
R
2
)达到0.51，均方根误差(RMSE)为3.6 m。研究结果表明，在林下地形已知的情况下，GF-2立体观测数据可用于森林高度估算。
A map of carbon storage and its dynamics of forest vegetation comprise the basic dataset for the calculation of the carbon balance of terrestrial ecosystems. Accurate estimation of forest canopy height
which is an important indicator of forest aboveground biomass
is essential for the mapping of carbon storage of forest vegetation carbon. Existing research has indicated that stereo images acquired by professional spaceborne or airborne stereo systems can be used to extract forest canopy height. However
the acquisition of optical photogrammetric images is hindered by cloud coverage and rains. Regional mapping of forest aboveground biomass should be based on the synergy of multiple sources of optical stereo images. Although the Chinese GF-2 is not a satellite specially designed for professional spaceborne photogrammetric systems
GF-2 theoretically possesses a stereo mapping capability because of its high spatial resolution of 0.8 m and rolling capability of ±35°. This study aims to explore the practical feasibility of extracting forest canopy height by using GF-2 stereo imagery. Two scenes of GF-2 images acquired on June 20
2015
and July 19
2016
are processed by a commercial stereoscopic processing software to generate the point cloud. A Digital Surface Model (DSM) is derived through the rasterization of the GF-2 point cloud. The canopy height model (CHM) is extracted from GF-2 DSM subtracted by the digital elevation model from LiDAR data. GF-2 CHM and LiDAR CHM are compared. GF-2 CHM exhibits approximately the same spatial pattern as LiDAR CHM. Pixel-by-pixel linear regression shows that GF-2 CHM is highly correlated with LiDAR CHM
with
R
2
= 0.51 and root-mean-square error = 3.6 m. Stereo imagery acquired by the Chinese GF-2 can be used to describe the vertical structure of forest canopy top. Forest canopy height can be extracted from GF-2 stereo imagery if an understory elevation of the ground surface is available.
森林生物量森林高度摄影测量立体观测高分二号(GF-2)激光雷达
forest aboveground biomassforest heightphotogrammetrystereoscopic observationGF-2LiDAR
Beer C, Reichstein M, Tomelleri E, Ciais P, Jung M, Carvalhais N, Rödenbeck C, Arain M A, Baldocchi D, Bonan G B, Bondeau A, Cescatti A, Lasslop G, Lindroth A, Lomas M, Luyssaert S, Margolis H, Oleson K W, Roupsard O, Veenendaal E, Viovy N, Williams C, Woodward F I and Papale D. 2010. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. Science, 329(5993): 834–838
Drake J B, Dubayah R O, Clark D B, Knox R G, Blair J B, Hofton M A, Chazdon R L, Weishampel J F and Prince S. 2002. Estimation of tropical forest structural characteristics using large-footprint lidar. Remote Sensing of Environment, 79(2/3): 305–319
Gong P, Mei X L, Biging G S and Zhang Z X. 2002. Improvement of an oak canopy model extracted from digital photogrammetry. Photogrammetric Engineering and Remote Sensing, 68(9): 919–924
Hobi M L and Ginzler C. 2012. Accuracy assessment of digital surface models based on WorldView-2 and ADS80 stereo remote sensing data. Sensors, 12(5): 6347–6368
Kindermann G E, McCallum I, Fritz S and Obersteiner M. 2008. A global forest growing stock, biomass and carbon map based on FAO statistics. Silva Fennica, 42(3): 387–396
Lefsky M A, Harding D J, Keller M, Cohen W B, Carabajal C C, Del Bom Espirito-Santo F, Hunter M O and de Oliveira R Jr. 2005. Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters, 32(22): L22S02
Ni W J, Guo Z F, Zhang Z Y, Sun G Q and Huang W L. 2012. Semi-automatic extraction of digital surface model using ALOS/PRISM data with ENVI//Proceedings of 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich, Germany: IEEE: 6557–6560 [DOI: 10.1109/IGARSS.2012.6352097]
Ni W J, Ranson K J, Zhang Z Y and Sun G Q. 2014a. Features of point clouds synthesized from multi-view ALOS/PRISM data and comparisons with LiDAR data in forested areas. Remote Sensing of Environment, 149: 47–57
Ni W J, Sun G Q and Ranson K J. 2015b. Characterization of ASTER GDEM elevation data over vegetated area compared with lidar data. International Journal of Digital Earth, 8(3): 198–211
Ni W J, Sun G Q, Ranson K J, Pang Y, Zhang Z Y and Yao W. 2015a. Extraction of ground surface elevation from ZY-3 winter stereo imagery over deciduous forested areas. Remote Sensing of Environment, 159: 194–202
Ni W J, Sun G Q, Zhang Z Y, Guo Z F and He Y T. 2014b. Co-registration of two DEMs: impacts on forest height estimation from SRTM and NED at mountainous areas. IEEE Geoscience and Remote Sensing Letters, 11(1): 273–277
Pan Y D, Birdsey R A, Fang J Y, Houghton R, Kauppi P E, Kurz W A, Phillips O L, Shvidenko A, Lewis S L, Canadell J G, Ciais P, Jackson R B, Pacala S W, McGuire A D, Piao S L, Rautiainen A, Sitch S and Hayes D. 2011. A large and persistent carbon sink in the world’s forests. Science, 333(6045): 988–993
庞勇, 李增元, 陈尔学, 车学俭, 白黎娜, 谭炳香. 2003. 干涉雷达技术用于林分高估测. 遥感学报, 7(1): 8–13
Pang Y, Li Z Y, Chen E X, Che X J, Bai L N and Tan B X. 2003. InSAR technology and its application to estimate stand average height. Journal of Remote Sensing, 7(1): 8–13 (
Papathanassiou K P and Cloude S R. 2001. Single-baseline polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(11): 2352–2363
Sheng Y W, Gong P and Biging G S. 2001. Model-based conifer-crown surface reconstruction from high-resolution aerial images. Photogrammetric Engineering and Remote Sensing, 67(8): 957–965
St-Onge B, Jumelet J, Cobello M and Véga C. 2004. Measuring individual tree height using a combination of stereophotogrammetry and lidar. Canadian Journal of Forest Research, 34(10): 2122–2130
St-Onge B, Vega C, Fournier R A and Hu Y. 2008. Mapping canopy height using a combination of digital stereo-photogrammetry and lidar. International Journal of Remote Sensing, 29(11): 3343–3364
Toutin T. 2004. DTM generation from Ikonos in-track stereo images using a 3D physical model. Photogrammetric Engineering and Remote Sensing, 70(6): 695–702
张璐. 2014. 内蒙古大兴安岭兴安落叶松林分直径结构及生长过程研究. 呼和浩特: 内蒙古农业大学
Zhang L. 2014. Research the Diametric Structure of Forest Stands and the Growth Process of Larix Gmelinii at Daxing’ Anling in Inn Mongolia. Hohhot: Inner Mongolia Agricultural University
相关作者
相关机构
京公网安备11010802024621