Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/JSTARS.2010.2052591 |
Development and Application of Multi-Temporal Colorimetric Transformation to Monitor Vegetation in the Desert Locust Habitat | |
Pekel, Jean-Francois1; Ceccato, Pietro2; Vancutsem, Christelle2; Cressman, Keith3; Vanbogaert, Eric1; Defourny, Pierre1 | |
通讯作者 | Pekel, Jean-Francois |
会议名称 | 5th International Workshop on Multi-Temporal Imagery Analysis |
会议日期 | JUL 28-30, 2009 |
会议地点 | Storrs, CT |
英文摘要 | The Desert Locust (Schistocerca gregaria) is the most feared of all the locusts worldwide. Satellite imagery can provide a continuous overview of ecological conditions (i.e., vegetation, soil moisture) suitable for the Desert Locust at the continental scale and in near real time. To monitor green vegetation, most remote sensing techniques are based on vegetation indices (e. g., NDVI). However, several limitations have been observed for this index based approaches in sparsely vegetated areas. To guarantee a more robust and reliable image-independent discrimination between vegetation and non-vegetated surface types, an innovative multi-temporal and multi-spectral image analysis method was developed based on a combination of MIR, NIR and Red reflectance measurements. The proposed approach is based on a transformation of the RGB color space into HSV that decouples chromaticity and luminance. A complete automatic processing chain combining the daily observations of MODIS and SPOT VEGETATION, was designed to provide user-friendly vegetation dynamic maps at 250 m resolution over the entire locust area every 10 days. This new product informs users about the location of green vegetation and its temporal evolution. The methodology is currently implemented at the Vlaamse instelling voor technologisch onderzoek (VITO) to provide vegetation dynamic maps every dekade to the Desert Locust Information Service at FAO. |
英文关键词 | Color space Desert Locust dynamic map early warning HSV MODIS real time monitoring SPOT VEGETATION vegetation monitoring |
来源出版物 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING |
ISSN | 1939-1404 |
出版年 | 2011 |
卷号 | 4 |
期号 | 2 |
页码 | 318-326 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Belgium;USA;Italy |
收录类别 | SCI-E ; CPCI-S |
WOS记录号 | WOS:000290992900009 |
WOS关键词 | SEGMENTATION ; REFLECTANCE ; PROSPECTS ; INDEXES |
WOS类目 | Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/299570 |
作者单位 | 1.Catholic Univ Louvain, Earth & Life Inst, B-1348 Louvain, Belgium; 2.Columbia Univ, Earth Inst, Int Res Inst Climate & Soc IRI, Palisades, NY 10964 USA; 3.FAO AGP, Desert Locust Informat Serv, I-00153 Rome, Italy |
推荐引用方式 GB/T 7714 | Pekel, Jean-Francois,Ceccato, Pietro,Vancutsem, Christelle,et al. Development and Application of Multi-Temporal Colorimetric Transformation to Monitor Vegetation in the Desert Locust Habitat[C]:IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,2011:318-326. |
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