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Jérôme OLLIER

Perte du "MOL Comfort" : du flambage constaté sur les sister-ships - Le Marin - 0 views

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    Perte du "MOL Comfort" : du flambage constaté sur les sister-ships.
Jérôme OLLIER

Walkers spot bull shark as it swims near Perth marina - video - @AAPNewswire @guardianeco - 0 views

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    Walkers spot bull shark as it swims near Perth marina - video.
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    Walkers spot bull shark as it swims near Perth marina - video.
Jérôme OLLIER

Fishing companies lose millions of dollars every year and they don't know it - @physorg... - 0 views

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    Fishing companies lose millions of dollars every year and they don't know it.
Jérôme OLLIER

Via @IAMSPOnline - Mozambique loses millions of dollars from illegal fishing - @MacauHub - 0 views

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    Mozambique loses millions of dollars from illegal fishing.
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    Mozambique loses millions of dollars from illegal fishing.
Jérôme OLLIER

India's shrimp industry may have lost another 5% of output after monsoon floods - @unde... - 0 views

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    India's shrimp industry may have lost another 5% of output after monsoon floods.
Jérôme OLLIER

Via @MBSociety - The complex relationship between asset wealth, adaptation, and diversi... - 0 views

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    * Construction of Asset Wealth Index for Tanzanian Small-Scale Fisheries based on a Multiple Correspondence Approach. * Less wealthy fishers target fewer species and are less able to absorb changes in management measures such as closures. * Wealthier fishers with high adaptive capacity are able to better absorb the short-term losses of fisheries closures.
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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