HIGHLIGHTS
- who: NARI and collaborators from the UnivGrenoble Alpes, UnivSavoie Mont Blanc, CNRS, LECA, Grenoble, France have published the Article: remote sensing, in the Journal: (JOURNAL) of 28/09/2015
- what: Conversely, the NARI-based mblm model showed low surface available, it showed of surface loss dueusing to cloud and Conversely, the NARI-based loss of 8.35% because19.44% the model was calibrated up to sixhillshade. dates, depending on local cloud cover mblm model showed low surface loss of 8.35% because the model was calibrated using up to six . The authors propose that the . . .
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