Claim · model-written summary
The scaling bias can be corrected through Taylor expansion.
- Outcome
- Taylor expansione2
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier
Verbatim
e2“This bias can be c orrected through Taylor expansion”
Title
WU Xiaoda National Remote Sensing Bulletin 2014
Other claims from this paper (5)
- Observation An obvious scale mismatch exists between ground-based LAI and coarse-scale remote sensing LAI in heterogeneous land surfaces.
- Method / resource The scaling bias caused by NDVI nonlinearity compensates for the scaling bias between LAI and NDVI.
- Recommendation All three types of uncertainties should be considered when the model is non-linear.
- Recommendation A fine-scale LAI map should be used as a bridge between ground-based LAI and coarse-scale remote sensing LAI.
- Observation Uncertainties in the validation of LAI remote sensing products are significant.