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| 基金项目：江苏省自然资源厅、江苏省财政厅2021年度江苏省自然资源发展专项资金（海洋科技创新）项目“黄海湿地生态岸线调查与保护关键技术研究”（JSZRHYKJ202115） |
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| 摘要： |
| 探索一种新型的针对滨海湿地潮沟密布、可达性差、植被生长茂密且生长密度大等特点的生物量调查方法。应用多参数航空遥感系统与地面采样相结合的方法，开展激光雷达、航空高光谱、航空摄影测量，实现一机多参数采集，同时获取目标物的位置、图像及光谱信息，开展滨海湿地地面目标信息的识别分类；根据获得的多参数遥感数据，通过地物精细分类获取其植被类型分布现状，并构建估算模型，选取最优模型进行植被生物量计算；基于植被精细分类结果，结合高光谱数据、冠层高程数据，以地面实测植被生物量为样本，使用最佳模型对研究区内植被进行生物量计算。结果表明，大丰湿地地表分布以互花米草、芦苇为主，占比分别为43.89%和8.15%；植被总生物量为167 004.98 t。 |
| 关键词：滨海湿地 航空多参数遥感 植被分类 碳储量 盐城大丰 |
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| Abstract: |
| This study explores a novel biomass survey method tailored to the characteristics of coastal wetlands, such as dense tidal creeks, poor accessibility, and thick, high-density vegetation. An integrated approach combining an airborne multi-parameter remote sensing system with ground sampling was employed, utilizing LiDAR, airborne hyperspectral imaging, and aerial photogrammetry. This enabled simultaneous multi-parameter acquisition by a single sensor system, capturing the location, image, and spectral information of targets to support identification and classification of ground features in the coastal wetland. Based on the acquired multi-parameter remote sensing data, detailed classification of surface features was performed to obtain the distribution of vegetation types, and estimation models were constructed to select the optimal model for calculating vegetation biomass. Using the refined vegetation classification results, combined with hyperspectral data and canopy height data, and taking ground measured vegetation biomass as samples, the optimal model was applied to compute vegetation biomass in the study area. The results show that the surface cover in the Dafeng wetland is dominated by Spartina alterniflora and Phragmites australis, accounting for 43.89% and 8.15%, respectively, and the total vegetation biomass of the Dafeng wetland was calculated to be 167,004.98 t. |
| Keywords:coastal wetland airborne multi parameter remote sensing vegetation classification carbon stock Dafeng of Yancheng City |
| 许 云,贾 朔,严维兵,等.航空多参数遥感法调查盐城大丰湿地生物碳储量[J].地质学刊,2026,50(2):227-234 |
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