基于GLAS和MODIS数据的森林生物量估算——以云南省为例

Integrating GLAS and MODIS Data for Forest Aboveground Biomass Estimation—— A Case Study in Yunnan Province, China

森林植被在陆地上分布面积广泛,具有较高的生产力及生物量累计,在全球气候变化中起着重要的作用,已成为研究的热点之一。云南省作为中国的三大林区之一,对该地区的森林生物量进行研究具有较高的意义。本文利用GLAS和MODIS数据反演出连续的森林植被高度,并与实地测量的生物量数据建立多种生物量估算模型,最后选取效果最好的一元线性模型估算了云南省的森林生物量。结果表明GLAS与MODIS联合反演得到的森林平均高度结果较好,最终估算得到云南全省生物量。在检验时将估测的云南省香格里拉县生物量数据与实测生物量数据进行精度比较,估测精度为90.45%。对云南森林生物量研究,不仅可以丰富碳循环研究的理论与方法,也可促进东南亚和云南潜在的碳汇市场形成,并推进“森林云南”的建设。

Forest has the largest area,the highest productivity and the maximum biomass accumulation in terrestrial carbon cycle.It plays an important role and also has become a research focus in terrestrial ecosystem.In this paper,we proposed a new procedure which integrates GLAS and MODIS data for forest aboveground biomass estimation.First,the pixel-based(or continuous)average forest height is derived from the GLAS and MODIS data in Yunan Provence,China.Second,a series of biomass models are established from the field biomass measurements and the corresponding pixel-based average forest heights for each forest type.Finally,a forest biomass map of Yunnan Provence is produced by applying these biomass models on the whole MODIS-BRDF images.The results show that the integrated data(GLAS and MODIS)can be successfully used for forest biomass estimation,and the accuracy is 90.45%in Shangri-La County of Yunnan Provence,China comparing with the field biomass data.