基于Sentinel-2的植被生物物理特征反演

Retrieval Biophysical Characteristics of Vegetation Based on Sentinel-2

以Sentinel-2多光谱卫星为主要数据源,定量反演研究区的植被覆盖度(fractional vegetation cover,FVC)、叶面积指数(leaf area index,LAI)、冠层叶绿素含量(canopy chlorophyll content,CCC)和冠层含水量(canopy water content,CWC)共4种生物物理特征。结果表明:研究区内植被理化参数分布情况为西北部和东北部较低,西南和东南部较高。不同作物类型的植被理化参数值不同,在8月下旬的植被生长期,旱地的理化参数值整体高于水稻的理化参数值。

Sentinel-2 multi-spectral satellite images were used as the main data source to quantitatively invert four biophysical characteristics,fractional vegetation coverage,leaf area index,canopy chlorophyll content and canopy water content in the study area.The results showed that the distribution of physicochemical parameters of vegetation in the study area was lower in the northwest and northeast,and higher in the southwest and southeast.The physicochemical parameters of vegetation of different crop types were different.In the vegetation growth period in late August,the physicochemical parameters of dryland were higher than those of rice.