Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.2188158 |
Combining geostatistical models and remotely sensed data to improve vegetation classification in horqin sandy land | |
Liao Chujiang | |
通讯作者 | Liao Chujiang |
会议名称 | International Conference on Optical Instruments and Technology - Optical Sensors and Applications |
会议日期 | MAY 17-19, 2015 |
会议地点 | Beijing, PEOPLES R CHINA |
英文摘要 | On different degrees of desertification land, there exists different vegetation communities, and spatial structure differences are obvious among different vegetation communities. This study implemented variogram calculation using typical sample selected from the image, adopting a common global optimization method to fit them into the spherical model. The results showed that the difference is obvious among different vegetation communities for the sill and range, such as, the sill and range are smaller for sample variogram of Artemisia halodendron and Salix flavida community than that of Artemisia halodendron and Caragana microphylla community, and the range for sample variogram of Agriophyllum arenarium community is bigger than that of Artemisia halodendron and Salix flavida community, but smaller than that of Artemisia halodendron and Caragana microphylla community. Incorporating the difference of the spatial structure characterization into the vegetation classification can improve sample separation, thereby increasing the overall classification accuracy. |
英文关键词 | geostatistical model image area variogram spherical model |
来源出版物 | 2015 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: OPTICAL SENSORS AND APPLICATIONS |
ISSN | 0277-786X |
出版年 | 2015 |
卷号 | 9620 |
EISBN | 978-1-62841-801-9 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | CPCI-S |
WOS记录号 | WOS:000360391800022 |
WOS关键词 | VARIOGRAMS ; DESERT |
WOS类目 | Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Optics ; Physics, Applied |
WOS研究方向 | Engineering ; Instruments & Instrumentation ; Optics ; Physics |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/304532 |
作者单位 | (1)China Acad Space Technol, Qian Xuesen Lab Space Technol, Beijing 100094, Peoples R China |
推荐引用方式 GB/T 7714 | Liao Chujiang. Combining geostatistical models and remotely sensed data to improve vegetation classification in horqin sandy land[C]:SPIE-INT SOC OPTICAL ENGINEERING,2015. |
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