Our technology for global resilience. Data science for our planet’s health and future.
Our Technology
Thanks to our flexible and automated platform, with a zero-code approach, we can guarantee fast and rapid multi-temporal analyzes to identify risks impacting ecosystems and to offer decision support information in order to achieve the pre-set sustainable development goals. We offer you the ability to learn from the past, monitor the present and design sustainable places for the future. Latitudo 40 is not just a technology platform, but a complex environmental operating system that helps you in sustainability, resilience and urban development projects.
The dataset is obtained by applying Latitudo 40 proprietary machine learning algorithms to Copernicus Sentinel images in order to obtain a land surface temperature map for use in studying the Urban Heat Islands phenomenon.
These datasets show the occurrence of the Surface Urban Heat Island (SUHI) effect on the city’s territory. This dataset describes the average LST difference observed over a specific period (at least monthly), between each map location (10m pixel resolution) and a reference temperature value, in order to display and assess the intensity of the SUHI. It is important to highlight that UHI usually refers to the difference of air temperature between rural areas and urban areas during the night when the latter is minimum.
An innovative multi-temporal dataset that shows the ability of urban green infrastructure to contribute to the netZero objectives, by removing CO2 from the atmosphere. The dataset is calculated from a very high resolution land cover map to which the estimated surface biomass, subsurface biomass, soil characteristics and estimated dead organic matter are added in the application of the specific proprietary machine learning model.
Latitudo 40 has implemented its own version of an algorithm based on a Generative Adversarial Network capable of creating products with a spatial resolution of 1m from Sentinel 2 images for the R, G, B and NIR bands. The algorithm has been trained over time using very high spatial resolution (submetric) datasets acquired from heterogeneous sensors including, to name a few, those from the Worldview 2 and 3 satellites, Planet Labs SkySat and Airbus Pleiades.
Surface albedo in rural and urban environments is one of the most influential parameters in assessing the effects of solar radiation on the earth's surface. The study of UHI and, above all, of the effects of any mitigation actions taken cannot disregard an assessment of albedo.
Latitudo 40 implemented a regression model based on a variation of a convolutional network used in a multitude of application scenarios (U-Net) in order to generate an information layer for the identification and classification of green infrastructures in urban environments. In this way is possible to obtain data which delineates with high precision the city areas with the presence of green (including tree-lined avenues) and which, by virtue of the intensity trends of the vegetation indices and the identification of the tree canopies (tree cover density), allows to carry out further analyses on the microclimatic performance of the green area.
The dataset is obtained by applying Latitudo 40 proprietary machine learning algorithms to Copernicus Sentinel images in order to obtain a land surface temperature map for use in studying the Urban Heat Islands phenomenon.
These datasets show the occurrence of the Surface Urban Heat Island (SUHI) effect on the city’s territory. This dataset describes the average LST difference observed over a specific period (at least monthly), between each map location (10m pixel resolution) and a reference temperature value, in order to display and assess the intensity of the SUHI. It is important to highlight that UHI usually refers to the difference of air temperature between rural areas and urban areas during the night when the latter is minimum.
An innovative multi-temporal dataset that shows the ability of urban green infrastructure to contribute to the netZero objectives, by removing CO2 from the atmosphere. The dataset is calculated from a very high resolution land cover map to which the estimated surface biomass, subsurface biomass, soil characteristics and estimated dead organic matter are added in the application of the specific proprietary machine learning model.
Latitudo 40 has implemented its own version of an algorithm based on a Generative Adversarial Network capable of creating products with a spatial resolution of 1m from Sentinel 2 images for the R, G, B and NIR bands. The algorithm has been trained over time using very high spatial resolution (submetric) datasets acquired from heterogeneous sensors including, to name a few, those from the Worldview 2 and 3 satellites, Planet Labs SkySat and Airbus Pleiades.
Surface albedo in rural and urban environments is one of the most influential parameters in assessing the effects of solar radiation on the earth's surface. The study of UHI and, above all, of the effects of any mitigation actions taken cannot disregard an assessment of albedo.
Latitudo 40 implemented a regression model based on a variation of a convolutional network used in a multitude of application scenarios (U-Net) in order to generate an information layer for the identification and classification of green infrastructures in urban environments. In this way is possible to obtain data which delineates with high precision the city areas with the presence of green (including tree-lined avenues) and which, by virtue of the intensity trends of the vegetation indices and the identification of the tree canopies (tree cover density), allows to carry out further analyses on the microclimatic performance of the green area.
Our Innovations
Platform Overview
A flexible platform that uses a zero-code approach to guarantee you quick and easy access to the most useful information to achieve the set sustainable development goals.
Data Space
An interface that collects and displays all the most useful, valuable and interesting data extracted from satellite images.
The data contained within our dashboard is organized for you to better analyse, understand and solve the global problems of our planet.
Super Resolution
The innovation of an algorithm that allows you to translate SAR images into optical images, making incredible improvements in terms of resolution.
SuperSAR is one of the latest technology additions to our platform.
Place Simulator
Latitudo 40 Place Simulator is a tool capable of simulating and evaluating future urban scenarios using exclusively satellite images.
It's time to make sustainable decisions for your planet. Thanks to our platform, everything will be simpler and more effective.
News
Joining the Data Space for Smart and Sustainable Cities and Communities
We are excited to announce our participation in the Data Space for Smart and Sustainable Cities and Communities (DS4SSCC) initiative, funded by the European Commission. The DS4SSCC initiative brings together a diverse consortium of partners, including municipalities,...
Blog post South Summit 2023 Madrid
We had the opportunity to participate at the South Summit 2023 in Madrid. As finalists in the Mobility and Intelligent Cities category, we had the opportunity to showcase our innovative solutions and connect with industry leaders, investors, and fellow entrepreneurs...
Latitudo 40 at the ChangeNOW 2023 in Paris
Last week Latitudo 40 had the incredible opportunity to attend ChangeNOW 2023 in Paris, a three-day summit that brings together the greatests ideas and minds fighting for sustainability and against climate change. During the event, hosted in the Grand Palais Éphémère,...
Carbon neutrality, main road to Zero Emission Economy
Tracking the concentration of carbon dioxide, the main catalyst for global warming released into the Earth’s atmosphere as a result of human activity, is necessary in order to understand whether we are on track to prevent climate change. However, the gas, which comes...
Joining the Data Space for Smart and Sustainable Cities and Communities
We are excited to announce our participation in the Data Space for Smart and Sustainable Cities and Communities (DS4SSCC) initiative, funded by the European Commission. The DS4SSCC initiative brings together a diverse consortium of partners, including municipalities,...
Blog post South Summit 2023 Madrid
We had the opportunity to participate at the South Summit 2023 in Madrid. As finalists in the Mobility and Intelligent Cities category, we had the opportunity to showcase our innovative solutions and connect with industry leaders, investors, and fellow entrepreneurs...
Latitudo 40 at the ChangeNOW 2023 in Paris
Last week Latitudo 40 had the incredible opportunity to attend ChangeNOW 2023 in Paris, a three-day summit that brings together the greatests ideas and minds fighting for sustainability and against climate change. During the event, hosted in the Grand Palais Éphémère,...
Carbon neutrality, main road to Zero Emission Economy
Tracking the concentration of carbon dioxide, the main catalyst for global warming released into the Earth’s atmosphere as a result of human activity, is necessary in order to understand whether we are on track to prevent climate change. However, the gas, which comes...
Precision Farming: efficiency and prospects
Precision farming is an innovative method in agriculture using the latest technologies to improve crop quality. Precision farming technologies involve the use of accurate remote sensing data, such as images or videos from drones or satellites. Such images allow you to...
Latitudo 40 allo SMAU Napoli
SMAU Napoli è l’appuntamento di riferimento per le imprese che vogliono avviare attività di sviluppo e portare sul mercato le proprie innovazioni. Siamo felici di partecipare per portare le nostre soluzioni di sostenibilità, grazie all’analisi di immagini satellitari....
High resolution satellite imagery for field analytics
With the rapid development of IT solutions, farmers can monitor the development of agricultural crops online, predict crop yields, effectively manage a land bank and plan agricultural operations. Satellite monitoring is the observation of the development of crops...
The satellites monitoring of coastline erosion
The coastline is the boundary between land and sea, which constantly changes its shape and position due to dynamic environmental conditions. Coastline change is mainly associated with waves, tides, winds, periodic storms, sea level changes, geomorphological processes...
When Carbon Credits enter a marketplace: the Latitudo 40’s approach
As you know, air pollution is a global environmental problem. Developed countries are the ones that emit the most greenhouse gases per year. The amount of these gases causes a greater retention of heat in the atmosphere and, as a result, an increase in average global...
Latitudo 40 to be selected as one of the Hello Tomorrow Deep Tech Pioneers!
Latitudo 40 has been selected as one of the Hello Tomorrow Deep Tech Pioneers: this is a dedicated community for the best deep tech startups from around the world. We are talking about game-changers developing cutting-edge technology to bring positive change to our...
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