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In the past works, a large number of sequential landing images have been captured in the runway-mode experimental flights [6, 7, 9].
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Full carbon accounting from deforestation and forest degradation will require careful consideration of sequential land-use transitions (Figure 5).
Nevertheless, it is found that optimum or at least close to optimum results can be obtained with sequential land plot study using the new method for all cases.
Approach 3 data are recommended as the basis for establishing REDD+ baselines [21], since fine-scale spatial information 20-600 m) is necessary to track sequential land-use transitions at a given location through time (Figure 5).
The study reveals that the unrestricted coordinate method under the sequential land plot scenario yields the best optimization results, with the smallest cost of energy and the largest wind farm efficiency.
This study used a sampling design based on soil samples taken on farm plots, which had been submitted to a wide range of spatial and temporal sequential land-uses, including soils that were only recently denuded.
We conclude that the analysis of sequential land cover datasets using the kind of statistical models developed here offers a promising way to investigate ecological processes such as forest succession at a large spatial scale.
In particular, two scenarios are considered: 1) the varying land plot scenario, where the land plot availability is included in the decision variables of the optimization, and 2) the sequential land plot scenario, where the land plot availability is fixed prior to optimization.
Full carbon accounting from deforestation and forest degradation will require careful consideration of sequential land-use transitions.
Approach 3 data are recommended as the basis for establishing REDD+ baselines [ 21], since fine-scale spatial information 20-600 m) is necessary to track sequential land-use transitions at a given location through time.
Fig. 5 Workflow of data-driven detection on the landing sequential images.
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