| Cite this article: | 岳程鹏,李兴.基于Landsat8-OLI遥感数据反演乌梁素海浮游植物生物量[J].灌溉排水学报,0,():-. |
| Yue chengpeng,Li Xing.基于Landsat8-OLI遥感数据反演乌梁素海浮游植物生物量[J].灌溉排水学报,0,():-. |
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| DOI： |
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| Retrieval of phytoplankton biomass in Lake Wuliangsuhai based on OLI remote sensing data |
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Yue chengpeng, Li Xing
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Inner Mongolia Normal University
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| Abstract: |
| 【Objective】In order to evaluate the applicability of the phytoplankton biomass inversion model in spring, summer and autumn in Lake Wuliangsuhai .【Method】The paper used the landsat 8-OLI remote sensing data,combined with actual chlorophyll a data , constructed a inversion model of phytoplankton biomass in Lake Wuliangsuha,and verified the accuracy and universality of the inversion model.【Result】The results showed that the fitting degree of the quadratic polynomial regression equation in spring was poor, the decisive factor was 0.463 and the root-mean-square error of the data was 2.71 mg/m3;the fitting degree of the quadratic polynomial regression equation in summer was optimal, the decisive factor was 0.86 and the root-mean-square error of the data was 3.67 mg/m3;the fitting degree of the quadratic polynomial regression equation in autumn was relatively poor , the decisive factor was 0.602 and the root-mean-square error of the data was 4.67 mg/m3.【Conclusion】Synchronous data and proper inversion method are important prerequisites for improving the accuracy of remote sensing inversion models. |
| Key words: Phytoplankton;Biomass; Chlorophyll a; Remote sensing invertion; Lake Wuliangsuhai |
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