Mikaela Weisse, who helps run this site, demonstrates how it works. The website makes it possible to monitor what's happening to distant tropical forests almost in real time through satellite imagery.
#Satellite eyes problem updating map upgrade
It's an upgrade of a system called Global Forest Watch, created by the World Resources Institute. But defenders of those forests have just deployed a new tool in their struggle to stop it - or at least alert the world when it's happening. The world continues to lose millions of acres of its most valuable tropical forests each year. Activists are using satellites to monitor deforestation, but cloud cover sometimes hides it from view. 8910-8918.Deforested land on Indonesia's Borneo Island. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction.
Topological Map Extraction from Overhead Images. Zuoyue Li, Jan Dirk Wegner, and Aurélien Lucchi.Proceedings of the European Conference on Computer Vision (ECCV) (2020). Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding. Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M Elshrif, Samuel Madden, and Amin Sadeghi.OpenStreetMap: User-Generated Street Maps. In International Joint Conference on Neural Networks (IJCNN). Unsupervised Change Detection in Satellite Images Using Convolutional Neural Networks. Kevin Louis de Jong and Anna Sergeevna Bosman.Neural Turtle Graphics for Modeling City Road Layouts. Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, and Sanja Fidler.IEEE Transactions on Geoscience and Remote Sensing 55, 6 (2017), 3322-3337. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network. Guangliang Cheng, Ying Wang, Shibiao Xu, Hongzhen Wang, Shiming Xiang, and Chunhong Pan.RoadTracer: Automatic Extraction of Road Networks from Aerial Images. Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Sam Madden, and David DeWitt.In ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL). Favyen Bastani, Songtao He, Sofiane Abbar, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, and Sam Madden.ISPRS Journal of Photogrammetry and Remote Sensing 130 (2017), 139-149. Simultaneous Extraction of Roads and Buildings in Remote Sensing Imagery with Convolutional Neural Networks. Rasha Alshehhi, Prashanth Reddy Marpu, Wei Lee Woon, and Mauro Dalla Mura.We show that our change-based approach reduces error rates four-fold. Our approach first compares satellite images captured at different times to identify portions of the physical road network that have visibly changed, and then updates the existing map accordingly. We then propose a novel method that leverages the progression of satellite imagery over time to substantially improve accuracy.
#Satellite eyes problem updating map update
In this paper, we first explain why current map extraction techniques yield low accuracy when extended to update existing maps. However, prior work largely focuses on the first step of this pipeline: these map extraction methods infer road networks from scratch given geospatial data sources (in effect creating entirely new maps), but do not address the second step of leveraging this extracted information to update the existing map data. An end-to-end map update system would first process geospatial data sources to extract insights, and second leverage those insights to update and improve the map. To address this challenge, much work has studied automatically processing geospatial data sources such as GPS trajectories and satellite images to reduce the cost of maintaining digital maps. Accurately maintaining digital street maps is labor-intensive.
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