ISLSCP II FASIR-ADJUSTED NDVI, 1982-1998
收藏DataONE2012-07-12 更新2024-06-27 收录
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The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. FASIR-NDVI data are also used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. There are three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude. FASIR adjustments concentrated on reducing NDVI variations arising from atmospheric, calibration, view and illumination geometries and other effects not related to actual vegetation change.
FASIR NDVI was also generated to provide inputs for computing a 17-year time series of associated biophysical parameters, provided as a separate data set in this data collection. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.
经傅里叶校正、传感器与太阳天顶角校正、插值与重构(Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed,缩写为FASIR)的归一化差分植被指数(Normalized Difference Vegetation Index,缩写为NDVI)数据集,旨在生成一套17年尺度的卫星观测序列,用以记录陆地植被光合活动的月度变化。FASIR-NDVI数据还可应用于气候模型与生物地球化学模型,用于计算光合作用、大气与陆地表面间的CO₂交换、陆地表面蒸散发,以及陆地表面的能量吸收与释放过程。本数据集提供三种空间分辨率的数据文件,经纬度分辨率分别为0.25°、0.5°与1.0°。FASIR校正的核心目标为消除由大气效应、仪器校准偏差、观测视角与光照几何条件,以及其他与实际植被变化无关的因素所导致的NDVI波动。
FASIR-NDVI的构建同时可为计算相关生物物理参数的17年时间序列提供输入数据,此类参数已作为独立数据集收录于本数据集中。FASIR-NDVI数据集及其配套生物物理参数的生产工作,由美国国家航空航天局(NASA)陆地表面水文学项目与威尔士高等教育资助委员会(Higher Education Funding Council for Wales,缩写为HEFCW)资助,作为国际卫星陆地表面气候学计划(International Satellite Land Surface Climatology Project,缩写为ISLSCP)第二阶段数据集项目的核心组成部分。
创建时间:
2012-07-13



