Lmst

#RobertFletcher
Antropólogo ambiental y profesor de #EcologíaPolítica grupo Sociología del Desarrollo y el Cambio en #UniversidaddeWageningen, Países Bajos. La mayor parte de su investigación se ha llevado a cabo en América Latina (particularmente en Costa Rica y Chile), también ha empezado a trabajar en África Oriental

Mindy Hernández
Dirige el #LivingLab for Equitable Climate Action del #WorldResourcesInstitute. Es una investigadora conductual aplicada, centrada en comportamientos prosociales

Using Artificial Intelligence To Map The Earth’s Forests
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https://sustainability.fb.com/blog/2024/04/22/using-artificial-intelligence-to-map-the-earths-forests/ <-- shared technical article
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https://doi.org/10.1016/j.rse.2023.113888 <-- shared paper
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#GIS #spatial #mapping #AI #forestmonitoring #maps #climatechange #forests #forestmanagement #global #spatialanalysis #spatiotemporal #NVDI #canopy #canopyheight #SelfSupervisedLearning #SSL #visontransformers #GEDI #LiDAR #remotesensing #earthobservation #model #modeling #meta #WorldResourcesInstitute #LandAndCarbonLab

A map of the world’s canopy height obtained from AI models analyzing high resolution satellite imagery. All canopy height data and artificial intelligence models are free and publicly available for commercial use.

A map of the Central and northern South America's canopy height obtained from AI models analyzing high resolution satellite imagery. All canopy height data and artificial intelligence models are free and publicly available for commercial use.

maps - Examples of the canopy height maps on four different continents. The left panel shows the satellite image..., the middle panel shows the predicted canopy height, and a red dot in the right panel indicates the location where the analysis was done. The model generalizes well globally across different ecosystems

graphical abstract - Very high resolution canopy height maps from RGB imagery using self-supervised vision transformer and convolutional decoder trained on aerial lidar

"Viele #Wälder
weltweit verschwinden ein bisschen weniger

Wie geht es dem #Wald weltweit? Dazu veröffentlicht die Denkfabrik #WorldResourcesInstitute ihren jährlichen Bericht. Es gibt positive Entwicklungen – insgesamt aber ist die Lage nach wie vor bedenklich. Und wie sieht es in Deutschland aus?"

https://www.deutschlandfunk.de/waelder-zustand-weltweit-wri-deutschland-100.html

🔥 Total tropical primary #forest loss in 2023 totaled 3.7 million hectares, the equivalent of losing almost 10 football fields of forest per minute. 🍃 According to the #WorldResourcesInstitute, the top 5 countries for tropical primary forest #deforestation in 2023 were #Brazil, DR Kongo, #Bolivia, Indonesia, and #Peru. 🌎 https://research.wri.org/gfr/latest-analysis-deforestation-trends #Amazon #Amazonia

Graphic of Tropical primary forest loss, 2002-2023, on the website research.wri.org

Graphic of Top 10 countries for tropical primary forest loss in 2022 and 2023, on the website research.wri.org

So what's a fair share of the #GreenClimateFund for each wealthy nation to contribute?

Calculations by the #WorldResourcesInstitute a couple of years ago claimed that a 'fair share' for each wealthy nation that had pledged to contribute would be the equivalent of 0.22% of Gross National Income (#GNI) each year by 2020. The World Resources Institute found that during 2016–2018 (the first three years of the Green Climate Fund), only four countries were actually already meeting or exceeding their fair share of climate finance contributions: #Germany, #Japan, #France and #Luxembourg. #Sweden and #Norway were close (>80%). #Denmark was the only other country over 66%. At the very bottom of the list came the #USA and #Australia.

For Australia to be making a 0.22% 'fair share' of its (then) roughly US$1.3 trillion GNI, this would amount to around US$2.86b each year (=AU$4.33b). This obviously was not happening. How far short of its pledge had the Coalition government fallen? How much was Australia actually contributing? Even less than the World Resources Institute recorded...
4/8

A chart from the World Resources Institute put out a few years ago, displaying the relative contributions of various wealthy nations to the UN's Green Climate Fund. Only four nations are meeting or exceeding the 0.22% of GNI that the WRI considers a 'fair share'. Coming in very last with the least fair shares, are the USA and Australia.

#30DayMapChallenge Day 11: Red

Made an interactive web #map (app?) to visualize built-up/built area pixels (in red) in #Esri #landcover, #ESA #WorldCover, & #Google #WorldResourcesInstitute #DynamicWorld.

Link to app: https://tirthankar25.users.earthengine.app/view/built-compare

Earlier this year, we published a paper comparing all land cover classes (not just built-up) in these three datasets: https://doi.org/10.3390/rs14164101

#EarthEngine #EOchat #GISChat #RemoteSensing

#WorldResourcesInstitute

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