|关键词: 荒漠草原 典型物种 多光谱数据 面向对象影像分析 基于像元影像分析
|Identification of typical species in desert steppe based on uav multispectral images
Na Mula, Ha Situya, Li Yuan, Wang Wuyun, Li Fei
Inner Mongolia Agricultural University
|【 Objective 】 To accurately obtain the spatial distribution information of grassland plant species is an important basis for monitoring biodiversity, community reconstruction and ecological function maintenance of grassland ecosystem. To obtain the spatial distribution of plant species timely and accurately can provide effective technical means for the extraction of grassland plant species information. 【 Methods 】 Based on uav multispectral images, information extraction methods of typical species in desert steppe were studied at pixel scale and object scale respectively. At the pixel scale, samples are defined to calculate the separability of samples, and then different classifiers are selected for classification. At the object scale, the segmentation of remote sensing image is firstly studied to select the best segmentation scale. On this basis, the optimal characteristic variables were extracted and the vegetation information was extracted by threshold classification method. 【 Result 】 High-resolution uav multispectral data could provide an effective data base for species information extraction in desert steppe. The object-oriented image analysis technique performed best, with an overall accuracy of 85.16% and a Kappa coefficient of 0.71. The mapping accuracy and user accuracy of Stipa cylindrica were 97.6% and 86%, respectively. The overall accuracy and Kappa coefficient were 80.40% and 0.70, respectively. The mapping accuracy and user accuracy of Stipa cylindrica were 90.08% and 76.46%, respectively. The overall accuracy of the traditional maximum likelihood classification method is 74.68%, and the Kappa coefficient is 0.64. The mapping accuracy and user accuracy of Stipa breviflora are 72.40 and 81.96, respectively. 【 Conclusion 】 Uav multi-spectral data has a strong ability to identify concentrated and contiguous vegetation species, while the accuracy of species identification for sporadic distribution is not ideal. However, the results of this study can provide a certain reference for large-scale grassland plant species identification.
|Key words: desert grassland typical species multispectral data object oriented image analysis based on pixel image analysis