会议专题

Quantifying Spatial Heterogeneity of Coniferous Trees in ATM, CASI and Eagle Airborne Images

Spatial heterogeneity of airborne remote sensing images is critical for surface character delineation. The purpose of this paper is to quantify and evaluate the spatial variability and characteristic scales of Coniferous trees from multi-sensor airborne images by applying variogram modelling. The Airborne Thematic Mapper (ATM) Compact Airborne Spectrographic Imager (CASI-2), Specim AISA Eagle airborne images at Harwood, Northumberland, UK, were utilized, with spatial resolutions of 9m, 7.2m and 2.5m respectively. We demonstrate that variogram properties provide a robust assessment of the differences in spatial variability and characteristic scale between multi-sensor airborne datasets. Spatial variability of Coniferous trees in ATM airborne imagery is consistently larger than CASI airborne imagery in blue, green, red and infrared bands. The spatial variability of Eagle airborne images is strongest in red and near infrared bands but weakest in the blue band. For the blue, green, red and near infrared bands utilized, results indicate that the total within-scene variation of multi-sensor airborne images increases with wavelength. Moreover, the mean characteristic length scale consistently decreases with the nominal spatial resolution and spectral bands. It is recommended that applications of one type of tree development observations could take advantage of Eagle images in the near infrared band to gain more within-species information of spatial structure and its variability. Other applications like mapping tree species might exploit ATM images to obtain more information about spatial structure and its variability between different tree species.

Variogram modelling spatial variability ATM CASI Eagleairborne imagery Coniferous trees characteristic scale

Bingwen Qiu Canying Zeng Rong Long Chongcheng Chen Xiaoyang Tu

Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education,Spatial Information Research Centre of Fujian Province,Fuzhou University, Fuzhou 350002, Fujian, China

国际会议

2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services(第一届空间数据挖掘与地理知识服务国际学术会议 ICSDM 2011)

福州

英文

198-203

2011-06-29(万方平台首次上网日期,不代表论文的发表时间)