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Jérôme OLLIER

Australia and Timor-Leste to sign deal on contentious gasfield - @guardianeco - 0 views

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    Australia and Timor-Leste to sign deal on contentious gasfield.
Jérôme OLLIER

Study Suggests Crash Location of MH370 near 25°S, North of Underwater Search ... - 0 views

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    New analysis uses ocean currents, debris found to locate probable crash site.
Jérôme OLLIER

Via @Seasaver - Hunted for its meat, 213-kg leatherback turtle slaughtered in North Sum... - 0 views

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    Hunted for its meat, 213-kg leatherback turtle slaughtered in North Sumatra.
Jérôme OLLIER

A regional map of mangrove extent for Myanmar, Thailand, and Cambodia shows losses of 4... - 0 views

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    Southeast Asia is home to some of the planet's most carbon-dense and biodiverse mangrove ecosystems. There is still much uncertainty with regards to the timing and magnitude of changes in mangrove cover over the past 50 years. While there are several regional to global maps of mangrove extent in Southeast Asia over the past two decades, data prior to the mid-1990s is limited due to the scarcity of Earth Observation (EO) data of sufficient quality and the historical limitations to publicly available EO. Due to this literature gap and research demand in Southeast Asia, we conducted a classification of mangrove extent using Landsat 1-2 MSS Tier 2 data from 1972 to 1977 for three Southeast Asian countries: Myanmar, Thailand, and Cambodia. Mangrove extent land cover maps were generated using a Random Forest machine learning algorithm that effectively mapped a total of 15,420.51 km2. Accuracy assessments indicated that the classification for the mangrove and non-mangrove class had a producer's accuracy of 80% and 98% user's accuracy of 90% and 96%, and an overall accuracy of 95%. We found a decline of 6,830 km2 between the 1970s and 2020, showing that 44% of the mangrove area in these countries has been lost in the past 48 years. Most of this loss occurred between the 1970s and 1996; rates of deforestation declined dramatically after 1996. This study also elaborated on the nature of mangrove change within the context of the social and political ecology of each case study country. We urge the remote sensing community to empathetically consider the local need of those who depend on mangrove resources when discussing mangrove loss drivers.
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