首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >Determination of Green Phytomass in a Northern Boreal Forest by means of Landsat TM-data and a Forest Canopy Reflectance Model
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Determination of Green Phytomass in a Northern Boreal Forest by means of Landsat TM-data and a Forest Canopy Reflectance Model

机译:利用Landsat TM数据和林冠反射模型确定北方北方森林中的绿色植物

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摘要

The aim of this paper is to investigate the feasibility of using remotely sensed data for the determination of important biophysical parameters relevant to carbon modelling in northern boreal forests. Detailed ground and remotely sensed data (Landsat TM) have been collected in a forest area in Siggefora, central Sweden, dominated by Norway spruce and Scots pine. A forest canopy reflectance model has been used to model stand reflectances. Estimates of reflectances obtained from the model have been compared with reflectances measured in Landsat TM-data. The sensitivity of the model to different parameters has been analysed. Results of the study show that differences in satellite derived stand reflectances can be partly explained with a canopy reflectance model. The sensitivity analysis shows that conifer stand reflectance is influenced by the structural features rather than the leaf area index of the stand.
机译:本文的目的是研究使用遥感数据确定与北方北方森林碳模型有关的重要生物物理参数的可行性。详细的地面和遥感数据(Landsat TM)已在瑞典中部Siggefora的一片森林地区收集,该地区以挪威云杉和苏格兰松树为主。森林冠层反射率模型已用于模拟林分反射率。从模型获得的反射率估计值已与Landsat TM数据中测得的反射率进行了比较。分析了模型对不同参数的敏感性。研究结果表明,用冠层反射率模型可以部分解释卫星衍生林分反射率的差异。敏感性分析表明,针叶林林分反射率受结构特征的影响,而不是林分叶面积指数的影响。

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