中文版 | English
Arid
Multiangular crop differentiation and LAI estimation using PROSAIL model inversion
Mazumdar;Deepayan Dutta
出版年2011
学位授予单位Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2011, Arts and Science, Department of Geography
英文摘要Understanding variations in remote sensing data with illumination and sensor angle changes is important in agricultural crop monitoring. This research investigated field bidirectional reflectance factor (BRF) in crop differentiation and PROSAIL leaf area index (LAI) estimation. BRF and LAI data were collected for planophile and erectophile crops at three growth stages. In the solar principal plane, BRF differed optimally at 860 nm 60 days after planting (DAP) for canola and pea, at 860 nm 45 and 60 DAP for wheat and barley, and at 860 nm and 670 nm 45 and 60 DAP for planophiles versus erectophiles. The field BRF data helped better understand PROSAIL LAI estimation. NDVI was preferred for estimating LAI, however the MTVI2 vegetation index showed high sensitivity to view angles, particularly for erectophiles. The hotspot was important for crop differentiation and LAI. Availability of more along-track, off-nadir looking spaceborne sensors was recommended for agricultural crop monitoring. xiii, 161 leaves : ill., map ; 29 cm
英文关键词Artificial satellites in agriculture Leaf area index -- Data processing Dissertations Academic
语种英语
URLhttp://hdl.handle.net/10133/3103
来源机构University of Lethbridge
资源类型学位论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/245762
推荐引用方式
GB/T 7714		 Mazumdar;Deepayan Dutta. Multiangular crop differentiation and LAI estimation using PROSAIL model inversion[D]. Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, c2011, Arts and Science, Department of Geography,2011.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Mazumdar;Deepayan Dutta]的文章
百度学术
百度学术中相似的文章
[Mazumdar;Deepayan Dutta]的文章
必应学术
必应学术中相似的文章
[Mazumdar;Deepayan Dutta]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。