Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.2194466 |
Mapping crop based on phenological characteristics using time-series NDVI of Operational Land Imager data in Tadla irrigated perimeter, Morocco | |
Ouzemou, Jamal-eddine1; El Harti, Abderrazak1; El Moujahid, Ali2; Bouch, Naima2; El Ouazzani, Rabii2; Lhissou, Rachid1; Bachaoui, El Mostaph1 | |
通讯作者 | Ouzemou, Jamal-eddine |
会议名称 | Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII part of the International Symposium on Remote Sensing |
会议日期 | SEP 22-24, 2015 |
会议地点 | Toulouse, FRANCE |
英文摘要 | Morocco is a primarily arid to semi-arid country. These climatic conditions make irrigation an imperative and inevitable technique. Especially, agriculture has a paramount importance for the national economy. Retrieving of crops and their location as well as their spatial extent is useful information for agricultural planning and better management of irrigation water resource. Remote sensing technology was often used in management and agricultural research. Indeed, it's allows crops extraction and mapping based on phenological characteristics, as well as yield estimation. The study area of this work is the Tadla irrigated perimeter which is characterized by heterogeneous areas and extremely small size fields. Our principal objectives are: (1) the delimitation of the major crops for a good water management, (2) the insulation of sugar beet parcels for modeling its yields. To achieve the traced goals, we have used Landsat-8 OLI (Operational Land Imager) data pan-sharpened to 15 m. Spectral Angle Mapper (SAM) and Support Vector Machine (SVM) classifications were applied to the Normalized Difference Vegetation Index (NDVI) time-series of 10 periods. Classifications were calculated for a site of more than 124000 ha. This site was divided into two parts: the first part for selecting, training datasets and the second one for validating the classification results. The SVM and SAM methods classified the principal crops with overall accuracies of 85.27% and 57.17% respectively, and kappa coefficient of 80% and 43% respectively. The study showed the potential of using time-series OLI NDVI data for mapping different crops in irrigated, heterogeneous and undersized parcels in arid and semi-arid environment. |
英文关键词 | Landsat-8 OLI crop mapping NDVI Tadla irrigated perimeter Morocco |
来源出版物 | REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVII |
ISSN | 0277-786X |
出版年 | 2015 |
卷号 | 9637 |
EISBN | 978-1-62841-847-7 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Morocco |
收录类别 | CPCI-S |
WOS记录号 | WOS:000367321800044 |
WOS关键词 | CLASSIFICATION |
WOS类目 | Engineering, Multidisciplinary ; Remote Sensing ; Optics |
WOS研究方向 | Engineering ; Remote Sensing ; Optics |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/304130 |
作者单位 | 1.Team Remote Sensing & GIS Appl Geosci & Environm, Fac Sci & Tech, Beni Mellal, Morocco; 2.Sugar Refineries Tadla, Beni Mellal, Morocco |
推荐引用方式 GB/T 7714 | Ouzemou, Jamal-eddine,El Harti, Abderrazak,El Moujahid, Ali,et al. Mapping crop based on phenological characteristics using time-series NDVI of Operational Land Imager data in Tadla irrigated perimeter, Morocco[C]:SPIE-INT SOC OPTICAL ENGINEERING,2015. |
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