Tropical forest regrowth has been included implicitly in large scale estimations of land-use change [8], but there is renewed interested in separating it from deforestation emissions [6].
Tropical forest regrowth has been included implicitly in large scale estimations of land-use change [ 8], but there is renewed interested in separating it from deforestation emissions [ 6].
Additionally, the second method is scalable for large-scale estimation because it can quickly detect scene changes by merely using an image pair without performing large-scale SfM.
In the era prior to the large-scale estimation of sea-ice production from Tamura et al. (2008), the linkage between the ice production and AABW could not be discussed.
Most studies on the carbon balance of selectively logged forests have estimated pre- and post-logging carbon stocks with remote sensing methods [16], allowing large-scale estimation of logging extent and quantification of canopy damage [14, 17, 18].
In conjunction with this monitoring network, intensive gravimetric soil moisture sampling conducted as part of the Soil Moisture Experiment in 2004 (SMEX04), contributed to the calibration of the network for large-scale estimation during the North American Monsoon System (NAMS).
Thus the biomass of herbs is easily overlooked in large-scale estimation of biomass but in the Gurbantunggut Desert the ecological significance (e.g. retaining ecosystem stability and species diversity, preventing sand diffusion, animal husbandry, soil nutrient cycling) of herbs, especially HSV, cannot be disregarded.
Large-scale estimation is in general more challenging than its small-scale counterpart.
Ensemble Kalman (EnKF) filtering is an established framework for large scale state estimation problems.
In this paper, we demonstrate the efficiency and versatility of PGO with two different applications: (1) the parallelization of a large scale parameter estimation problem associated with modeling water flow in a heterogeneous deep vadose zone; (2) the parallelization of a complex simulation-optimization procedure for searching for an optimal groundwater remediation design.
In this work we propose a new hybrid global method, based on the combination of an evolutionary search strategy with a local multiple-shooting approach, which offers a reliable and efficient alternative for the solution of large scale parameter estimation problems.
