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MP method provided best overall performance, followed closely by DFT with zero padding.
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Results show that both methods provide best estimates of hyetographs with maximum intensities and total depths in a realistic order of magnitude, whereas the uncertainty of rainfall estimated with the reverse model is rather large.
Images were obtainable in 93% to 100%, with the EBEF and AVPDm methods providing best results (100% of examinations).
Infrared-based method also provided best results in terms of time-saving strategy, reducing the measurement time to 8 min only.
The disaggregation method provided the best predictions of tree- and stand-level survival and growth.
The results indicated that no one method provided the best results under all weather conditions.
The Random Forests method provided the best estimates of the flow duration curves and all hydrological indices except mean flow.
The Maxwell method provided the best overall performance in terms of the ease of use and DNA yields for both high- and lower-biomass samples.
Although the proposed method provided the best result, there were still several false alarmed pixels, mainly located around the edges of buildings.
For initial shape space coverage, we found the Analytic overlap method provided the best trade-off between the speed of the Grid overlap method and the precision of the Exact overlap method.
Cao ([2006]) found that while the two constrained models performed slightly better than the unconstrained tree model in predicting tree and stand attributes, the disaggregation method provided the best predictions of tree- and stand-level survival and growth.
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