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Lior Springfield
Hi !I did a simple spark AR Project :When a target is detected, a first " transition " animation ( png sequence ) is played, when it is completed, a second animation is played and loop. All is working but when i lost the target and find it a second time, the animations didn't start at frame 0 and seems to continue looping. I can't find a way to do it. Can someone explain me how to completely " reset " the animation each time the target is found ? Thank you !
It is not possible to rotate a target tracker because it is not an object. The problem I was facing is that the texture used in the target tracker is for some reason rotated at 90 degrees with respect to the camera orientation, so the objects appearing upon the texture detection were rotated at 90 degrees as well.
The proposed Alternative Fuels Infrastructure Regulation (AFIR) in Article 3.1 sets out specific objectives about targets for electric recharging infrastructure dedicated to light-duty vehicles. AFIR prescribes that Member States must ensure that publicly accessible recharging stations for light-duty vehicles are deployed commensurate to the uptake of light-duty electric vehicles and that in their territory, publicly accessible recharging stations dedicated to light-duty vehicles are deployed that provide sufficient power output for those vehicles. To that end Member States shall ensure that, at the end of each year, starting from the entry into force of the Regulation, the following power output targets are met cumulatively:
The target output (kW) for Member State X is thus calculated as the sum of these two aspirational values, or in other words: the actual number of M1 and N1 battery electric vehicles (BEVs) registered in Member State X multiplied by 1.3 kW + the actual number of M1 and N1 Plug-in Hybrid vehicles registered in Member State X multiplied by 0.8. The target attainment of Member State X is then the ratio of the actual total power output of Member State X compared to the target power output of that same Member State X.
The AFIR target tracker is currently calculated using the maximum power output of all recharging points located in the Member States, as all EAFO data on recharging infrastructure is collected on a recharging point basis. This may, for the purposes of the AFIR target tracker, however, lead to an overrepresentation of the power output capacity available in the Member States since a recharging station that dynamically supplies electricity over two recharging points with a maximum power output equal to that of the recharging station itself, would be double counted. For this reason, EAFO and its data partner Eco-movement are currently reprocessing the recharging point and recharging pool data it receives from CPOs, to identify the number of recharging stations in the Member States and their respective power output. Once this exercise is completed, this may lead to recalculating the AFIR target tracker.
The Tracker assesses whether the global community is on track, off track or moving in the wrong direction to achieve these targets. See the FAQ for more information about how the Tracker complements the Forest Declaration Assessment and other forest monitoring efforts.
In 2022, global deforestation persisted despite needing a 10% annual reduction to reach zero deforestation by 2030. While the global deforestation rate in 2022 was 3.1% lower than the baseline from 2018-2020, it was still over one million hectares above the level needed. Thus, we are off track to meet this target. Learn more about why deforestation continues and what can be done about it.
The Targets Tracker uses satellite-based geospatial data to measure progress towards shared global deforestation and forest restoration targets.Statistics used to assess progress for the Target Tracker are derived directly from the input data sets (Hansen et al. 2013, Curtis et al. 2018, Potapov et al. 2020), and therefore are not sample-based estimates with measures of uncertainty. Accuracy metrics for each data set are available from the references provided. Where possible, the Tracker builds on existing progress monitoring efforts, such as the Forest Declaration Assessment. The Tracker is not meant to replace official progress monitoring, but instead to supplement country-led monitoring with independent, globally consistent data that provides additional transparency and accountability.
The Tracker focuses on two targets that represent the distillation of multiple global forest pledges into measurable objectives: to end deforestation by 2030, and to restore 350 Mha lost and degraded forests by 2030. (See sections on How is deforestation estimated and How is restoration estimated of lost and degraded forests.) At this point, the Tracker focuses on deforestation and forest restoration but cannot attribute those activities to particular interventions or actors such as corporations, who often have their own forest-related commitments. The Tracker also does not attempt to assess actions such as recent programs or other interim steps taken by governments and other actors to meet the targets. As such, there may be important groundwork being done that is critical to achieving impact, but that may take years to show up as progress in the Tracker. Many global commitments also include social goals related to Indigenous rights and gender equity; we acknowledge that these are just as important as the biophysical indicators tracked here, but currently lack the data for meaningful assessment of progress on those goals.
The Targets Tracker uses two data sets on tree cover extent in the year 2000 as a proxy for forests, and measures progress against these baselines. Tree cover extent is defined according to both of these data sets, and thus is slightly different for each target. For the target to end deforestation by 2030, forests include all tree cover above five meters and greater than 30% canopy density.Hansen et al. 2013, For the shared target to restore lost and degraded forests, forests include all tree cover of five meters in height and above, with no set minimum canopy density threshold.Potapov et al. 2022, Both are based on land cover and do not account for land use or distinguish between natural and planted forests. This is a biophysical definition of forests that does not necessarily align with national or global definitions. However, the Targets Tracker uses a proxy for deforestation that limits the inclusion of temporary losses or losses in planted forest, and thus more closely aligns with the definition of deforestation (see How is deforestation estimated for more information).
The targets tracker establishes a baseline rate of change in forest extent for each target to measure progress against. For the target to end deforestation by 2030, the most recent year of deforestation in the forest extent is compared to the average deforestation level from the years 2018-2020 (the same baseline period as the Forest Declaration Assessment uses). This baseline period was selected to smooth out single-year anomalies but does not extend back to 2017, when deforestation spiked due to extensive fires. With 10 years between when the pledges were developed in 2020 and the goal of zero deforestation in 2030, an annual 10% reduction in the baseline rate is needed to reach the target.
For the target to restore 350 Mha of lost or degraded forests by 2030, we use a baseline forest area of 4,122 Mha of tree cover in 2000Potapov et al. 2022, and compare that to a target of 4,472 Mha of forests in 2030 (an additional 350 Mha of forest). We use the average annual gross increase in tree cover from 2000-2020 to assess whether progress is sufficient to meet this target. A longer baseline period (2000-2020) was used for the restoration target in comparison to the baseline period for the deforestation target (2018-2020) due to data limitations of the tree cover gain data, which is only available as cumulative gain over five-year time intervals from 2000 to 2020. Given that forest gain is a gradual process, the longer baseline accounts for the time lag that would be expected between seedling establishment and satellite detection of crown cover. While forest gain is more difficult to detect from satellite imagery over short intervals in general,See Forest Gain Indicator current research efforts to map forest gain globally on an annual basis may support adjustment of the baseline in future updates.
For the shared target to end deforestation by 2030, on track means that the annual rate of deforestation is declining at a sufficient rate to reach zero by 2030, calculated as a 10% annual decrease from the baseline (average rate from 2018-2020). Off track means that the rate of loss is declining, but not at the rate needed. Wrong direction means that deforestation is increasing. New annual data will continue to be measured against the pathway to zero deforestation calculated from the 2018-2020 baseline.
For the shared target to restore lost and degraded forests, on track means that the average annual rate of tree cover gain is sufficient to reach 350 Mha of restored lost and degraded forests by 2030. Off track means that the average annual rate of tree cover gain is not sufficient to meet the 2030 target. Wrong direction means that no gain is happening. While we do not currently have annual data on tree cover gain, new data being developed by the University of Maryland will allow us to track gain on an annual basis in future versions of the target tracker.
The FDA and this Tracker are also aligned in the general approach to tracking progress towards restoration targets, though there are some differences. Both this Tracker and the FDA use the same data to track tree cover gain from 2000-2020. However, the FDA also uses Roe et al. 2021 to estimate the cost-effective restoration potential by country. Because Roe et al. estimates a cost-effective potential that is lower than the agreed-upon global target (295 Mha by 2050 vs. 350 Mha by 2030), this Tracker uses just the global restoration target of 350 Mha.
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