#Google Earth Engine

Melhore a visualização do Terreno no Google Earth

Our new AI model AlphaEarth Foundations has mapped the world in astonishing detail. 🌏🔍 Scientists can now create maps that track issues like crop health, deforestation, and more – in just hours – using our datasets available in @Google Earth Engine. Read the latest via our link in bio. 🔗

Google has expanded its Earth AI platform, which combines decades of geospatial modeling with Gemini’s artificial intelligence to help organizations tackle environmental and disaster response challenges. The new Geospatial Reasoning framework automatically connects weather forecasts, satellite imagery, and population data to answer complex queries in minutes. Early adopters include the World Health Organization, which is predicting cholera outbreaks in Congo, and nonprofits like GiveDirectly for disaster response. Satellite providers Planet and Airbus use the system to monitor deforestation and power line encroachment. Google is opening access to trusted testers and professional users, with integrated chat features allowing users to query Earth’s conditions through natural language. #trendingreels #ai #googleearth #maps #technology

¿Sabías que podemos pronosticar incendios forestales? 🔥🌲 Sí, creando un índice FWI (Fire Weather Index). Este índice nos permite evaluar el riesgo de incendios forestales mediante datos meteorológicos, y es crucial para la gestión de emergencias y la prevención de desastres. Para calcular el FWI, necesitamos datos como la temperatura, la humedad relativa, la velocidad del viento y la precipitación, obtenidos del modelo GFS. 🌡️💨 Primero, convertimos la temperatura de Kelvin a Celsius y la velocidad del viento de m/s a km/h. Luego, calculamos subíndices como FFMC, DMC y DC, que representan la humedad de los combustibles forestales. 🌳🔥 Estos subíndices se combinan para obtener el ISI y el BUI, los cuales nos indican la intensidad y la acumulación de combustibles. Finalmente, el índice FWI resulta de la combinación del ISI y el BUI, mostrando el riesgo de incendios en una escala de 0 a 50. En el mapa, los colores indican el nivel de riesgo: azul representa un riesgo bajo, verde un riesgo moderado, amarillo un riesgo alto y rojo un riesgo muy alto. 🟦🟩🟨🟥 Todo esto y más lo puedes aprender en nuestro curso "Análisis y gestión geoespacial de emergencias" en GIS Dev Academy. ¡Inscríbete ahora y domina el arte de pronosticar incendios! 🚒🔥 #gisdevacademy #emergencias #fwi #prevencionincendios #bomberos #SecretariaDeEmergencias #argentina #provinciadecordoba #chubut #gestionderiesgos #geospatialanalysis #fireweatherindex #gee #googleearthengine #meteorologia #incendiosforestales #proteccioncivil #desastresnaturales #SeguridadPublica #salta #incendiossalta #saltalalinda

This map holds more information than it looks like. Global ocean surface temperatures from ERA5, ECMWF's reanalysis product, processed through Google Earth Engine. What you're seeing isn't a satellite photo. It's a reconstruction a physically consistent model output spanning decades, merging observational data with atmospheric modeling. The kind of dataset that makes long-term climate analysis possible. The tropics stay warm. The poles stay cold. The currents do their work in between. And somewhere in those temperature gradients, you find monsoon patterns, crop stress signals, and flood triggers. Translating this data into something actionable for agriculture and disaster risk. #DataViz #SatelliteImagery #Pakistan #TechForGood #ClimateScience #ERA5 #GoogleEarthEngine #SeaSurfaceTemperature #GIS #RemoteSensing #AIGeoNavigators

This is a brand new AI project from Google. It’s called AlphaEarth. And this thing is like Google Maps, but on Level 100. Think of AlphaEarth like an open platform for studying the planet. It has access to any environmental data you could imagine…climate, weather, agriculture, everything. But here’s why it’s so powerful… Google took all the publicly available map data and used AI to compress it into super detailed 10x10m squares. So it’s like they built a virtual weather satellite that can locate any spot on Earth and deeply understand its environment. We’re talking about spots as small as your living room, they have that much precision. Now this breakthrough has a ton of amazing use cases… The data is extremely accurate at predicting weather patterns, flash flooding and wildfires before they happen. It’s also able to literally see through the clouds and assess potential farmland and soil fertility. But the best part is that this data can be used to study unmapped ecosystems, like the Amazon Rainforest and even Antarctica. Now that we have this data system covering the entire planet, scientists can analyze every spot on Earth, to map trends and understand patterns. And here’s the coolest piece… You can actually access any of this data yourself and build on top of it. Because it’s all open and publicly available. This breakthrough is gonna completely change how we understand the environment and build for the future. If you want to access the data: developers.google.com/earth-engine/datasets Follow @kallaway for more videos like this. #ai #artificialintelligence #tech #technology #google #earth #maps #environment #data #googlemaps #newtech

How GPS Actually Works 😱📍 Phone Location & Navigation 📡 #gps #howgpsworks #satellites #geography #map

AlphaEarth Foundations (Google DeepMind) é uma tecnologia que pega vários tipos de satélite ao mesmo tempo (imagens comuns, radar que atravessa nuvens, relevo e outras camadas) e transforma cada pedaço do planeta em um perfil numérico. O que é esse “perfil”? Não é uma foto. É um conjunto de números que funciona como uma assinatura do lugar. Ele resume coisas como: • padrão de vegetação ao longo do ano • umidade e textura do terreno (principalmente via radar) • mudanças na superfície • sinais de água, alagamento, seca e degradação • comportamento histórico comparável ano a ano O que isso permite fazer de inovador? Em vez de olhar uma imagem isolada e “interpretar no olho”, você passa a ter um dado que dá para: • comparar anos diferentes com consistência • detectar mudança real (e não ruído de uma semana) • encontrar padrões que uma imagem única não mostra • treinar modelos com menos esforço e menos dado rotulado Para que isso serve no mundo real (fora do agro)? Essa base vira o “motor” para sistemas que monitoram e antecipam risco, por exemplo: Clima e padrões ambientais • mapear histórico de vegetação e umidade como sinal de seca • identificar regiões que mudam mais rápido com calor, estresse hídrico e desertificação Enchentes e eventos extremos • detectar áreas com sinal de alagamento e mudança rápida no terreno • mapear risco de enchente recorrente (onde sempre acontece) • acelerar resposta e priorização (onde olhar primeiro) Incêndios e queimadas • identificar padrão de secura pré-fogo • mapear cicatriz de fogo e recuperação da vegetação Florestas, Amazônia, ecossistemas e gelo • detectar mudança de cobertura e fragmentação • acompanhar transformação de áreas difíceis de medir “no chão” • monitorar regiões remotas como Amazônia e Antártica com consistência O ponto revolucionário (resumo) Satélite deixa de ser só imagem e vira uma base padronizada de dados que cria um “histórico digital do planeta”, pronto para IA detectar padrões e mudanças em escala. #alphaearth #google #agro #agriculturadigital #agriculturadeprecisão

¿Trabajas en el campo y aún no usas Google Earth Pro? Estás dejando de aprovechar una herramienta poderosa para planificar tu finca, organizar potreros, ubicar cercos, medir áreas y calcular distancias… ¡sin necesidad de GPS costosos! Con nuestro curso aprenderás paso a paso cómo usar Google Earth Pro y My Maps para tomar mejores decisiones en tu predio. Mide. Planifica. Ahorra. Inscríbete hoy. #agroforesteria #agroforestal #agropecuaria #ganaderia #agricultor #agricultura #granja #agronomia #medioambiente #potrero #vacas #agroecologia #agriculturaregenerativa

Experiment dengan Google Earth Studio + After Effects hasilnya cool jg. #aftereffects #adobe #googleearth

One step closer to “ChatGPT for Earth” 🌎 Google DeepMind has launched AlphaEarth Foundations, an AI system that functions as a “virtual satellite” by integrating satellite data from multiple sources into unified digital representations called embeddings. It can see through clouds using radar data and maps Earth’s surface at 10-meter resolution with 24% fewer errors than existing systems while requiring 16 times less storage space. The AI enables real-time monitoring of deforestation, urban expansion, and agricultural changes, with applications ranging from Amazon rainforest protection to supply chain verification. Over 50 organizations, including the UN Food and Agriculture Organization, are already using the publicly available dataset through Google Earth Engine. #trendingreels #ai #googleearth #satellite #technology