Knowledge Resource Center for Ecological Environment in Arid Area
REMOTE SENSING METHODOLOGY FOR DETECTION OF ENVIRONMENTAL REGIME SHIFTS IN SEMI-ARID REGION | |
Sofue, Yuki1,2; Hoshino, Buho1; Nduati, Eunice2; Kondoh, Akihiko3; Kai, Kenji3; Purevsuren, Ts.1; Baba, Kenji1 | |
通讯作者 | Hoshino, Buho |
会议名称 | IEEE International Geoscience & Remote Sensing Symposium |
会议日期 | JUL 23-28, 2017 |
会议地点 | Fort Worth, TX |
英文摘要 | Precipitation is one of the most important factors for growth of plants especially in arid and semi-arid regions. In this study, we show that vegetation in the arid and semi-arid Gobi region is sensitive to the dynamics of precipitation. Using satellite imagery we analyzed the space-time features of seasonal vegetation evolution and anomaly patterns from 1985 to 2013. Cross correlation analysis was used to evaluate the response of vegetation to precipitation. We found that vegetation in low precipitation areas such as around Gansu in China was degraded than that in high precipitation areas. |
英文关键词 | Vegetation response to precipitation Environmental regime shifts NDVI Hovmoller diagrams |
来源出版物 | 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
ISSN | 2153-6996 |
出版年 | 2017 |
页码 | 5113-5116 |
EISBN | 978-1-5090-4951-6 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Japan |
收录类别 | CPCI-S |
WOS记录号 | WOS:000426954605028 |
WOS关键词 | VEGETATION DYNAMICS ; NDVI ; STEPPE |
WOS类目 | Geosciences, Multidisciplinary ; Remote Sensing |
WOS研究方向 | Geology ; Remote Sensing |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/306805 |
作者单位 | 1.Rakuno Gakuen Univ, Grad Sch Dairy Sci, Ebetsu, Hokkaido 0698501, Japan; 2.Chiba Univ, Grad Sch Sci, Chiba, Japan; 3.Chiba Univ, Ctr Environm Remote Sensing, Chiba, Japan; 4.Nagoya Univ, Grad Sch Environm Studies, Nagoya, Aichi, Japan |
推荐引用方式 GB/T 7714 | Sofue, Yuki,Hoshino, Buho,Nduati, Eunice,et al. REMOTE SENSING METHODOLOGY FOR DETECTION OF ENVIRONMENTAL REGIME SHIFTS IN SEMI-ARID REGION[C]:IEEE,2017:5113-5116. |
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