iiinova — where your digital self keeps evolving

Haha, no problem at all! Thanks for the smile! 😄

🤣 I can see that! I promise it's not a salad leaf

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Hey! There's no link for the map, as it's not part of any published report or paper, just my habit of sharing my work 😁

Sofia Lazar @sofialazar.bsky.social · 25/04/2025

𝖥𝗂𝗑𝖾𝖽 𝗍𝗁𝖺𝗍! 🎯 𝖲𝗐𝗂𝗉𝖾 𝗍𝗈 𝗌𝖾𝖾 𝖨𝗇𝖽𝗂𝖺'𝗌 𝗋𝗂𝗏𝖾𝗋𝗌 𝗂𝗇 𝟥𝖣.... 𝖻𝗅𝖾𝗇𝖽𝗂𝗇𝗀 𝖾𝗅𝖾𝗏𝖺𝗍𝗂𝗈𝗇, 𝗍𝗈𝗉𝗈𝗀𝗋𝖺𝗉𝗁𝗒, 𝖺𝗇𝖽 𝗁𝗒𝖽𝗋𝗈𝗅𝗈𝗀𝗒 🔥𝖥𝗎𝗇 𝖿𝖺𝖼𝗍: 𝟤𝟪𝟪𝟢 𝗋𝗂𝗏𝖾𝗋𝗌 𝖼𝗋𝗈𝗌𝗌 𝗍𝗁𝖾 𝖻𝗈𝗋𝖽𝖾𝗋𝗌, 𝖺𝗇𝖽 𝗍𝗁𝖾 𝗅𝗈𝗇𝗀𝖾𝗌𝗍 𝗉𝖺𝗍𝗁 𝗋𝗎𝗇𝗌 𝟥𝟢𝟫,𝟣𝟣𝟧 𝗄𝗆! #𝖦𝖨𝖲 #𝖱𝗌𝗍𝖺𝗍𝗌 #𝖬𝖺𝗉𝗉𝗂𝗇𝗀 #𝖨𝗇𝖽𝗂𝖺 #𝖧𝗒𝖽𝗋𝗈𝗅𝗈𝗀𝗒

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🌀 826 rivers flow into the DRC 🇨🇩 Today’s deep dive? Unveiling a river network so vast it spans all 26 provinces, linking ecosystems, borders, and lives. From Bas-Uele to Kinshasa 💧✨ #Geospatial #Hydrology #DRC #RStats #WaterMapping

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Sofia Lazar @sofialazar.bsky.social · 23/04/2025

🇫🇷 𝗠𝗔𝗣𝗣𝗜𝗡𝗚 𝗛𝗘𝗔𝗧 & 𝗣𝗢𝗣𝗨𝗟𝗔𝗧𝗜𝗢𝗡 🌡️👥 With summer heatwaves intensifying, I overlaid #MODIS LST and #GHSL 2030 population to spot where heat and people collide #ClimateAction #UrbanResilience #GIS #HeatIslands #Sustainability

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Sofia Lazar @sofialazar.bsky.social · 22/04/2025

Hmmm let do this, next time I will zoom in to Lagos and use colors that really highlights the LST effects!

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Sofia Lazar @sofialazar.bsky.social · 22/04/2025

One thing to note is that there are no red colors in the legend. One might expect high LST values in Lagos, but they are represented using blue the color indicating the highest LST level

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Sofia Lazar @sofialazar.bsky.social · 22/04/2025

🔥🌳 3D view of #Nigeria’s heat & green cover 🇳🇬 MODIS LST × Canopy Height = a map where trees cool, cities heat 🌿🔥 South = cooler, denser North = hotter, barer Cities = heat islands 🏙️ #GIS #Climate #Nigeria #DataViz #LST #Canopy #Trees #Forest

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Sofia Lazar @sofialazar.bsky.social · 21/04/2025

𝐂𝐚𝐦𝐛𝐨𝐝𝐢𝐚, 𝐜𝐚𝐧 𝐈 𝐡𝐞𝐚𝐫 𝐲𝐨𝐮 𝐬𝐡𝐨𝐮𝐭 🌿📢 for our forests?! From 1990 to 2024, we’ve seen a massive shift: green forests turning into scattered patches. The land is changing fast......Time to act, protect, and restore! #Cambodia #Forests #ClimateAction #TMFChange #ReforestCambodia #Rstats #Asia

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Sofia Lazar @sofialazar.bsky.social · 20/04/2025

👀 You saw #Brazil & the #Amazon TMF in #3D… My people in the #DRC said: 𝑾𝒉𝒆𝒓𝒆’𝒔 𝒐𝒖𝒓𝒔? 😏 Well… here it is! 🇨🇩✨ 𝐓𝐌𝐅 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐑𝐂 𝐢𝐧 𝐬𝐭𝐮𝐧𝐧𝐢𝐧𝐠 3𝐃! 🌿🌍 A vibrant forest, rich in life & vital for our planet 💧🌳 #TMF #DRC3D #CongoBasin #NatureIn3D #GIS #MappingTMF #Africa #ForestsMatter #ClimateAction #R

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Sofia Lazar @sofialazar.bsky.social · 20/04/2025

🟡 Mapping Africa's Aid Inequity: 15 years where global aid fell below average. 🚨 Using R, I visualized this disparity in an animated map. In 2005, Africa got just 4.9% of global aid, less than 1 in 20 dollars. 🌍 Data Source: #WorldBank #R #DataForDevelopment #AidAllocation #MappingAfrica

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Sofia Lazar @sofialazar.bsky.social · 19/04/2025

✅ The masterpiece for 🇧🇷 is here 🌱🔥 ! 🌳🌎✨ Tropical Moist Forest in full #3D GLORY — 2024 style. 🎨 + 🛰️ + 🌿 = WOW 📢 Let’s hear it, #Brazil! 💚💛 #3D #Brazil #RemoteSensing #GIS #EarthObservation #Rstats #Science

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Sofia Lazar @sofialazar.bsky.social · 19/04/2025

✅ I did my part... 🌳🌍 3D Amazon Rainforest: 2024 Tropical Moist Forest edition! Elevation, vegetation, human impact: all in one view 📊 Data: forobs.jrc.ec.europa.eu/TMF/data #3D #Amazon #EarthObservation #GIS #RemoteSensing #Rstats #EOData #SouthAmerica #Brazil #Peru

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Sofia Lazar @sofialazar.bsky.social · 19/04/2025

Hi, this is actually my own work, there’s no formal report available at the moment. The dataset can be downloaded from: forobs.jrc.ec.europa.eu/TMF/data You can also explore annual global changes here: forest-observatory.ec.europa.eu/forest/tmf

forobs.jrc.ec.europa.eu

Forest Observations

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Sofia Lazar @sofialazar.bsky.social · 18/04/2025

🅣🅗🅔 🅐🅜🅐🅩🅞🅝 🅡🅐🅘🅝🅕🅞🅡🅔🅢🅣: 🅐 🅢🅗🅘🅕🅣 🅕🅡🅞🅜 1990 🅣🅞 2024 🌱📊 From 🟢600 Mha of intact forest to just 🟢500.61 Mha. 🟠 66.67 Mha deforested 🟡 33.59 Mha degraded 💚 9.78 Mha regrowth—too little, too late? #AmazonRainforest #Geospatial #RStats #ForestConservation #Sustainability #ClimateChange #SpatialData

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Sofia Lazar @sofialazar.bsky.social · 16/04/2025

𝐅𝐫𝐚𝐧𝐜𝐞'𝐬 𝐂𝐥𝐢𝐦𝐚𝐭𝐞 🌡️🍃 This bivariate map reveals where temperature meets vegetation across France. Mediterranean regions glow magenta (hot+dry), while northern greens showcase resilient plant life. #DataViz #ClimateScience #RemoteSensing

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Sofia Lazar @sofialazar.bsky.social · 16/04/2025

🇧🇷 Tropical Moist Forest Crisis in Brazil: Since 1990, Brazil lost 86.86 Mha of undisturbed forests, while regrowth only covered 16.08 Mha. Deforestation escalates by 1,533%, and degradation is climbing. We must act for a sustainable future. 🌍 #Deforestation #ClimateAction #Brazil #Biodiversity

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Sofia Lazar @sofialazar.bsky.social · 16/04/2025

ＴＨＥ　ＣＯＮＧＯ　ＢＡＳＩＮ　ＶＡＮＩＳＨＩＮＧ　ＬＩＦＥＬＩＮＥ The DRC's rainforest is disappearing! 🌍 maps from the 2024 #JRC #Tropical #Moist #Forest show a staggering 21.2% loss of intact forest over the past 34 years. From 130.5 Mha in 1990 to just 102.73 Mha in 2024. #CongoRainforest #Deforestation #ClimateCrisis #JRC

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Sofia Lazar @sofialazar.bsky.social · 14/04/2025

Saudi Arabia 🇸🇦 | Climate Reality in Color Average Site Water Balance (swb) & Climate Moisture Index (cmi) 📆 1981–2010 | CHELSA BIOCLIM+ From the green slopes of جبال السروات to the dry heart of الربع الخالي #ClimateScience #SaudiArabia #GIS #Hydrology #المناخ #البيئة

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Sofia Lazar @sofialazar.bsky.social · 14/04/2025

🟡 🅒🅛🅘🅜🅐🅣🅔 🅟🅡🅞🅙🅔🅒🅣🅘🅞🅝 A side-by-side of 🇫🇷 #France and 🇮🇹 #Italy showing projected climate shifts under #SSP1-2.6 (mitigation) vs #SSP5-8.5 (high emissions). Data from the #MPI-ESM1 model Access the #BIOCLIM+ dataset: 🔗 chelsa-climate.org/exchelsa-ext... #ClimateData #RStats #BIOCLIM+ #CHELSA

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Sofia Lazar @sofialazar.bsky.social · 09/04/2025

Are quieter regions left behind or do they simply function differently? #France #population #urbanplanning #Rstats

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🗺️ Hot or not? 🇸🇦 New #climateERA5 vs #climateCHELSA bivariate maps reveal striking differences in temp & rainfall across #climateSaudiArabia (1981–2010)! 🌡️#climateERA5: Hotter, drier deserts 🌧️#climateCHELSA: Cooler, wetter, more detailed 📊 Your dataset really matters in #climateMapping #R #2Dmaps

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Ohh silly me! 🤦‍♀️ How did I miss that?! 🙃... Classic map betrayal! Here is the wright map

Yes excatly , @hmillward.bsky.social suggested using red shades for temperature and blue for precipitation, as these are the standard and most casual color choices

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📢 To #Farmers, #Ecologists, #Policymakers & #Agribusiness: New #CHELSA climate data is in! 🇺🇸 🌡️ Hot & Dry (1-3): Drought risk 🌧️ Cool & Wet (3-1): Great for 🍓 🌾 Moderate (2-2): Corn/soybean belt 🌴 Hot & Wet (3-3): High disease risk 🗺️ Zoom into your state for details! #Climate #USA #GIS #Rstats

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🇫🇷 France’s Climate Risks at a Glance 🔴⚪🔵 Using high-res #CHELSA climate data, I mapped the alarming trends: 🌡️ Temps rising 2× faster than global average 🌧️ Rainfall dropping, crops & soil at risk Big thanks to @milos-makes-maps.bsky.social tut! #ClimateEmergency #France #Sustainability #Rstats

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Scipy2025/Notebooks/Tutorial_1_Forests.ipynb at main · symmy596/Scipy2025

Hi @bernardvanelegem.bsky.social Here’s a tutorial that might be useful for you: github.com/symmy596/Sci... In this tutorial, forests are defined based on the percentage of tree cover.

github.com

Contribute to symmy596/Scipy2025 development by creating an account on GitHub.

Right? Just zeros, ones, and somehow...boom: insight 😄

Yeah, it's pretty satisfying when things line up like that 😎

Haha definitely not black hole levels of data, but the forest data did try to test my laptop’s will ... yet HydroRIVERS was more polite 😅

Haha right? no need to show yourself out though, anyone who appreciates beautiful data is always welcome here 😎 Thanks a ton!