AI: 10 Reasons to Believe - Luis Figueroa present Space4Good (EN)
Nonprofits & Activism
Introduction
Introduction
Luis Figo, a representative from Space for Good, discusses the innovative ways in which remote sensing and artificial intelligence (AI) are utilized to unravel the complexities of biodiversity. Through high-resolution satellite imagery and advanced AI techniques, Space for Good is making significant strides in environmental conservation.
Understanding Remote Sensing
Remote sensing refers to gathering data about an area from a distance, often using satellite imagery. An example of this can be found by exploring Google Maps and enabling satellite imagery, which serves as the primary input for Space for Good's initiatives. Figo presents two different types of data: 3D constructions made through laser scanning and high-resolution images, where one pixel corresponds to 30 meters on the ground. This data, while incredibly useful, poses challenges due to its sheer volume, ranging from gigabytes to terabytes.
The Role of AI in Analyzing Biodiversity
AI is crucial for streamlining data processes associated with remote sensing, allowing for repetitive analyses of environmental changes. For instance, machine learning algorithms are applied to detect illegal deforestation in regions like Indonesia. Traditional linear regression methods are insufficient given the complexity of biodiversity, necessitating a shift towards machine learning and deep learning.
The capability of machine learning enables analysis at larger scales, incorporating vast amounts and various types of data, which enhances the accuracy of biodiversity assessments.
Case Studies: Innovative Applications
Case Study 1: Forest Inventory in Amsterdam
Space for Good undertook a project called "Retrievable" for the municipality of Amsterdam, aiming to perform a comprehensive forest inventory. This labor-intensive task typically involves significant resources, but by utilizing three datasets—aerial imagery and high-spectral resolution images—Figo's team was able to classify individual trees efficiently. By overlapping these datasets, they delineated each tree, extracting important information such as species identification, carbon storage estimates, and tree conditions. This data was compiled into a manageable format, showing the municipality which areas were thriving and which required intervention.
Case Study 2: Monitoring Biodiversity in Indonesia
In a second case study, a similar approach was applied in Indonesia's dense forests, areas that are difficult for researchers to access physically. Collaborating with local communities, drones were deployed to collect multispectral imagery, analyzing tree species differentiation as viewed through the unique ‘vision’ of an orangutan, which can distinguish various shades of green. Furthermore, this project focused on high-value trees, integral for combating illegal deforestation.
Additionally, acoustic data was utilized to record sounds within the rainforest. By employing specialized software and machine learning algorithms, researchers could identify patterns and determine the species of birds and bats present in the area.
Conclusion
Luis Figo emphasizes that the integration of remote sensing and AI provides an unprecedented opportunity to monitor and protect biodiversity effectively. By leveraging technological advancements, organizations like Space for Good can make informed decisions and take action to preserve ecosystems globally.
Keywords
Remote Sensing, Artificial Intelligence, Biodiversity, Space for Good, Machine Learning, Deforestation, Forest Inventory, Multispectral Imagery, Acoustic Data.
FAQ
Q: What is remote sensing?
A: Remote sensing is the acquisition of data about an area from a distance, using satellite or aerial imagery.
Q: How does AI contribute to biodiversity monitoring?
A: AI automates data analysis processes, allowing for the detection of changes in biodiversity, such as illegal deforestation, and enhancing modeling capabilities through machine learning.
Q: What kind of projects does Space for Good undertake?
A: Space for Good conducts various projects to assess and monitor biodiversity, including forest inventories and wildlife monitoring using remote sensing and AI technologies.
Q: How is local community involvement integrated into these projects?
A: Local communities assist by providing insights and data collection in inaccessible regions, such as using drones to gather environmental data.
Q: Why is multispectral imagery important for biodiversity studies?
A: Multispectral imagery allows researchers to differentiate various tree species based on how they reflect light, providing deeper insights into forest composition.