Title of article :
Comparison of four global FAPAR datasets over Northern Eurasia for the year 2000
Author/Authors :
McCallum ، نويسنده , , Ian and Wagner، نويسنده , , Wolfgang and Schmullius، نويسنده , , Christiane and Shvidenko، نويسنده , , Anatoly and Obersteiner، نويسنده , , Michael and Fritz، نويسنده , , Steffen and Nilsson، نويسنده , , Sten، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
The Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) has been identified as one of several key satellite-derived biophysical datasets. With multiple global FAPAR datasets now available and a lack of in-situ measurements and comparison studies in the far north, this study attempts to provide the reader with an indication of the performance of four global FAPAR datasets (MODIS, CYCLOPES, JRC and GLOBCARBON) over Northern Eurasia in the year 2000 via comparison. Within the year 2000 growing season, both the MODIS and CYCLOPES datasets recorded on average similar but substantially higher values than the JRC and GLOBCARBON datasets. Among three of the four datasets, a high level of agreement in deciduous broadleaf forests and croplands was observed. Largest disagreement occurred among needleleaf forests and grassland/shrubland. Potential reasons for discrepancies among the datasets include different retrieval methods, use of LAI and land cover, snow effects and others. Findings from this study and other published results suggest that overall, JRC best captures FAPAR over northern Eurasia in the year 2000. However, when considering individual landcover types, any one or more of the four products may be suitable. There exists a real need for more in-situ measurements in this region — the lack of such measurements makes evaluation extremely difficult. It appears that areas north of 60° urgently require further investigation.
Keywords :
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) , NORTHERN EURASIA , MODIS , CYCLOPES , GLOBCARBON , JRC
Journal title :
Remote Sensing of Environment
Journal title :
Remote Sensing of Environment