2022
DOI: 10.1016/j.rse.2021.112835
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Global quasi-daily fractional vegetation cover estimated from the DSCOVR EPIC directional hotspot dataset

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Cited by 14 publications
(3 citation statements)
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“…To strengthen our findings on the forecasting errors of various models of adsorption energy in the single dataset which arises as a result of errors associated with theoretical computations, we further employed the RMSD analysis. It is true that the smaller the RMSD value, the less the deviation in the dataset . Hence, our basis on various conclusions is established.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To strengthen our findings on the forecasting errors of various models of adsorption energy in the single dataset which arises as a result of errors associated with theoretical computations, we further employed the RMSD analysis. It is true that the smaller the RMSD value, the less the deviation in the dataset . Hence, our basis on various conclusions is established.…”
Section: Resultsmentioning
confidence: 99%
“…It is true that the smaller the RMSD value, the less the deviation in the dataset. 78 Hence, our basis on various conclusions is established. The RMSD values for various models are presented in Table 7 , and the results are discussed as follows: It can be observed that DSDPBEP86 (RMSD = 1.6277) and PBE0DH (RMSD = 1.6101) outperformed the following training dataset.…”
Section: Resultsmentioning
confidence: 99%
“…Vegetation, an integral part of terrestrial ecosystems, is of great significance for stabilizing global climate through photosynthesis and respiration ( Pan et al., 2011 ; Griscom et al., 2017 ; Song et al., 2022 ). Meanwhile, as an indicator of ecosystem status, vegetation structure and function are highly responsive to climatic and anthropogenic influences ( Li et al., 2020 ; Piao et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%