AI News, High Resolution Land Cover Mapping using Deep learning artificial intelligence

Land-cover dynamics unveiled / Sentinel-2 / Copernicus / Observing the Earth / Our Activities / ESA

It can, for example, support experts working with land-cover classification and can serve as input for services in areas such as agriculture, forestry and land-degradation assessments.

The land-cover dynamic layer was produced with GeoVille’s processing engine LandMonitoring.Earth, a fully-automated land-monitoring system built on data streams from the Copernicus Sentinel-1 and Sentinel-2 missions, as well as ESA third party missions such as the US Landsat.

Landuse Classification from Satellite Imagery using Deep Learning

With the abundance of remote sensing satellite imagery, the possibilities are endless as to the kind of insights that can be derived from them. One such use is to ...

Using convolutional networks and satellite imagery to identify patterns in urban environments

Using convolutional networks and satellite imagery to identify patterns in urban environments at a large scale Adrian Albert (MIT & SLAC) Marta Gonzalez (MIT) ...

Video Abstract: AI for Earth Classification

Understanding the land cover types and locations within specific regions enables effective environmental conservation. With sufficiently high spatial and ...

ArcGIS and Microsoft AI: Scalable GeoAI in the Cloud

This session demonstrates how ArcGIS together with Microsoft AI help provide world class GoeAI capabilities. The session will include detailed technical ...

Esri UC 2017: Microsoft AI

Microsoft's Dr. Lucas Joppa drops by Esri UC 2017 to discuss how the two companies, along with the Chesapeake Conservancy, are joining forces to bring ...

Kaggle Competition "Forest Cover Type Prediction"

Contributed by Aravind Kolumum Raja and Thomas Kolasa. They enrolled in the NYC Data Science Academy 12 week full time Data Science Bootcamp ...

Automated Detection of Archaeology in the New Forest using Deep Learning with Remote Sensor Data

As a result of the New Forest Knowledge project, many new sites were discovered. This was partly due to the undertaken LiDAR survey which was followed by ...

Combining satellite imagery and machine learning to predict poverty

The elimination of poverty worldwide is the first of 17 UN Sustainable Development Goals for the year 2030. To track progress towards this goal, we need more ...

Deep Learning State of the Art (2019) - MIT

New lecture on recent developments in deep learning that are defining the state of the art in our field (algorithms, applications, and tools). This is not a complete ...

Machine Learning in ArcGIS

Machine Learning (ML) refers to a set of data-driven algorithms and techniques that automate the prediction, classification, and clustering of data. Machine ...