期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2010
卷号:XXXVIII - Part 8
页码:875-877
出版社:Copernicus Publications
摘要:For the modeling and prediction of the global environment, investigation of the vegetation productivity, that dominates the global carbon cycle, is essential. Moreover, since vegetation provides us the resource of food, log, and fuel, the monitoring of vegetation dynamics and the analysis on its relation to climate change are significant. This study has two objectives. First is to develop an estimation algorithm of the forest Leaf Area Index (LAI), which represents the photosynthetic potential. The algorithm will be applicable to the measurement by the sensor "Second Generation Global Imager (SGLI)" of the satellite "Global Change Observation Mission (GCOM)-C" planed in fiscal year 2014. Second is to construct long-term satellite-derived vegetation dataset from which we can analyze the geographical distribution of vegetation and its decadal change. We make an attempt to bridge 13- year SGLI time series of vegetation data to the time series by other satellites such as NOAA's Advanced Very High Resolution Radiometer (AVHRR) etc. Field surveys will be carried out at the field sites of a black spruce forest in Fairbanks, USA and a temperate forest in Takayama, Japan to acquire the ground truth for the two objectives
关键词:Vegetation dynamics; Leaf area index (LAI); Forest radiative transfer model; Bidirectional reflectance ; factor (BRF)