Scaling characteristics of remotely-sensed surface net radiance over densely-vegetated grassland in Northern China - art. no. 62981O
文献类型：会议论文
| 作者 | Zhang W. J. ; Gao Z. Q. |
| 出版日期 | 2006 |
| 会议名称 | Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie) |
| 关键词 | scaling surface net radiance densely-vegetated grassland heterogeneity atmosphere transfer models broad-band conversions narrow-band heat-flux evapotranspiration temperature albedo |
| 页码 | O2981-O2981 |
| 英文摘要 | The surface heterogeneity of densely vegetated region is often ignored as it doesn't show such an obvious spatial variation as sparse region. This paper is to examine to which degree the estimation difference with scale change would be. The surface net radiation and related variables between six consecutive scales from 30 to 960 m over a dense grass covered region in Northern China are calculated with a simplified scheme based on Landsat ETM data. The estimation agreements between neighboring scales are evaluated with the mean absolute percent difference and the index of agreement. The two indices indicated variation is not so obvious and can't determine whether the study area is homogeneous or not. Further analyses of the fraction variation of land covers with scales and the change of related mean variables for individual land cover with scale, reach a consistent result that the major covers with larger patches are more insensitive to scale change than the minor ones with smaller patches. The introduction of land cover information improves detecting the effect of patches with different covers when the surface net radiation is considered. |
| 收录类别 | CPCI |
| 会议录出版者 | Spie-Int Soc Optical Engineering |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| ISBN号 | 0-8194-6377-9 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25398]  |
| 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 | Zhang W. J.,Gao Z. Q.. Scaling characteristics of remotely-sensed surface net radiance over densely-vegetated grassland in Northern China - art. no. 62981O[C]. 见:Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie). |
入库方式： OAI收割
来源：地理科学与资源研究所
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