Low Altitude Disaster Imagery (LADI) Dataset

Tutorials

• LADI v1 Tutorials by Andrew Weinert, Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren, Ryan Earley, Nadia Dimitrova
  
• LADI v2 Overview by Jeffrey Liu, Sam Scheele, Katherine Picchione
  

Tools & Applications

• NIST TRECVID 2020 - Disaster Scene Description and Indexing (DSDI) by TREC Video Retrieval Evaluation (TRECVID)
  
• Remote Sensing for Disaster Response Course by Beaver Works Summer Institute
  

Publications

• Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI by Vamshi Krishna Enabothala, Morgan Dutton, and Sandeep Verma
  
• An overview on the evaluated video retrieval tasks at TRECVID 2022 by George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Lukas Diduch, Jeffrey Liu, Yvette Graham, Georges Quenot
  
• Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021 by George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
  
• Large Scale Organization and Inference of an Imagery Dataset for Public Safety by Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert
  
• Train and Deploy an Image Classifier for Disaster Response by Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
  
• TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains by George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
  
• Video Testing at the FirstNet Innovation and Test Lab Using a Public Safety Dataset by Chris Budny, Jeffrey Liu, Andrew Weinert
  

New Zealand Imagery

Tutorials

• ArcGIS Workflows: NZ Imagery from a public AWS S3 bucket by Eagle Technology
  
• Browsing the s3://nz-imagery bucket by Toitū Te Whenua Land Information New Zealand
  
• Imagery survey naming and path conventions by Toitū Te Whenua Land Information New Zealand
  

Tools & Applications

• LINZ Basemaps by Toitū Te Whenua Land Information New Zealand
  
• LINZ Data Service by Toitū Te Whenua Land Information New Zealand
  
• LINZ Topographic Workflows - Bulk imagery processing with Kubernetes and Argo Workflows by Toitū Te Whenua Land Information New Zealand
  

Publications

• A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction by Guangming Wu, Zhiling Guo, Xiaodan Shi, Qi Chen, Yongwei Xu, Ryosuke Shibasaki and Xiaowei Shao
  
• A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning by T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla & Kofi Boakye
  
• Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response by Grant D. Pearse, Michael S. Watt, Julia Soewarto and Alan Y. S. Tan
  
• Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network by Yaning Yi, Zhijie Zhang, Wanchang Zhang, Chuanrong Zhang, Weidong Li and Tian Zhao
  

KyFromAbove on AWS

Tutorials

• KyFromAbove Bulk Download Area of Interest from Tile Index by Ian Horn
  
  Amazon S3
• KyFromAbove County Bulk Download by Ian Horn
  
  Amazon S3

Tools & Applications

• Kentucky From Above SpatioTemporal Asset Catalog by Ian Horn, Ky Div. of Geographic Information
  
• KyFromAbove Catalog Explorer by Boyd Shearer, Ky Div. of Geographic Information
  
• KyFromAbove Explorer by NV5
  

Publications

• A New View of Kentucky's Cities by Kent Anness
  
• KyFromAbove is democratizing key data in Kentucky by Matt Collins
  
• KyTopo! Kentucky's New Topographic Map Series by Kent Anness
  
• NV5 Earns 3 Excellence Awards at MAPPS 2026 by LiDAR News
  

OpenAerialMap on AWS

Tutorials

• Displaying OpenAerialMap Imagery in Simple GIS Client by Simple GIS Software
  
• How to Segment Buildings on Drone Imagery with Fast.ai & Cloud-Native GeoData Tools by Dave Luo
  
• OAM User Guide by Humanitarian OpenStreetMap Team
  
• Use deep learning to assess palm tree health by Julia Lenhardt
  

Tools & Applications

• New OpenAerialMap Browser by Kontur
  
• OpenAerialMap API for metadata about available images and map layers. by Humanitarian OpenStreetMap Team
  
• OpenAerialMap Broswer for exploring and accessing imagery by Humanitarian OpenStreetMap Team
  

Publications

• Analysing the use of OpenAerialMap images for OpenStreetMap edits. by Mandourah, Hochmair
  
• Mapping a response: Using satellite images to aid humanitarian action by ALNAP
  
• OpenAerialMap: A Distributed Commons for Searching and Hosting Free Imagery by Kate Chapman, Humanitarian OpenStreetMap Team
  

Vermont Open Geospatial on AWS

Tutorials

• Imagery Program FAQs by Vermont Center for Geographic Information
  
• Lidar Program FAQs by Vermont Center for Geographic Information
  

Tools & Applications

• Elevation Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Imagery Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Landcover Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Elevation by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Imagery by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Landcover by Vermont Center for Geographic Information
  

Data to Science Catalog

Tutorials

• Data to Science Notebook Tutorials by GDSL
  
• Data to Science User Manual by GDSL
  

Tools & Applications

• D2S Browser by GDSL
  
• Data to Science Web Application by GDSL
  

High Resolution Canopy Height Maps by WRI and Meta

Tools & Applications

• Global Canopy Height on Earth Engine by Meta and WRI
  

Publications

• Every tree counts: Large-scale mapping of canopy height at the resolution of individual trees by Jamie Tolan, Camille Couprie, and Tracy Johns
  
• Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar by Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
  
• Using Artificial Intelligence to Map the Earth’s Forests by Jamie Tolan, Camille Couprie, John Brandt, Justine Spore, Tobias Tiecke, Tracy Johns and Patrick Nease
  

NAIP on AWS

Tutorials

• Urban Tree Detection by Jonathan Ventura
  

Tools & Applications

• EOS Land Viewer by Earth Observing System
  
• VoyagerSearch showing off Batch + NAIP by Voyager
  

Publications

• Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery by Jonathan Ventura, Milo Honsberger, Cameron Gonsalves, Julian Rice, Camille Pawlak, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
  

Version 2 High Resolution Canopy Height Maps by WRI and Meta

Tutorials

• Get To Know A Dataset - CHMv2 by Meta
  
  

Tools & Applications

• Global Canopy Height on Earth Engine by Meta and WRI
  

Publications

• CHMv2: Improvements in Global Canopy Height Mapping using DINOv3 by John Brandt, Seungeun Yi, Jamie Tolan, Xinyuan Li, Peter Potapov,Jessica Ertel, Justine Spore, Huy V. Vo, Michael Ramamonjisoa, Patrick Labatut, Piotr Bojanowski, and Camille Couprie
  
• DINOv3 by Oriane Siméoni, Huy V. Vo, Maximilian Seitzer, Federico Baldassarre, Maxime Oquab, Cijo Jose, Vasil Khalidov, Marc Szafraniec, Seungeun Yi, Michaël Ramamonjisoa, Francisco Massa, Daniel Haziza, Luca Wehrstedt, Jianyuan Wang, Timothée Darcet, Théo Moutakanni, Leonel Sentana, Claire Roberts, Andrea Vedaldi, Jamie Tolan, John Brandt, Camille Couprie, Julien Mairal, Hervé Jégou, Patrick Labatut, Piotr Bojanowski
  

Indiana Statewide Digital Aerial Imagery Catalog

Tools & Applications

• ArcGIS Online Indiana Orthoimagery Viewer by Indiana Geographic Information Office (IGIO)
  
• IGIO Imagery Opendata S3 Browser by Indiana Geographic Information Office (IGIO)
  

Publications

• Recording of 2025 - 2028 Indiana Orthoimagery Program Presentation by Indiana Geographic Information Office (IGIO)
  

NOAA Emergency Response Imagery

Tutorials

• ERI notebook using SageMaker Studio Lab (SMSL) by Mya Sears
  
  Amazon SageMaker Studio Lab
• Using Emergency and Pre-Event Imagery by Jon Sellars
  

Publications

• Open data helps recovery in the aftermath of devastating weather events by Jena Kent
  

State of Colorado Imagery

Tutorials

• Colorado AWS Open Imagery Guide by State of Colorado OIT-GIS
  

Tools & Applications

• Colorado Public Imagery Downloader by State of Colorado OIT-GIS
  
• Colorado Public Imagery s3 Browser by State of Colorado OIT-GIS
  

AgricultureVision

Publications

• Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis by Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
  
• The 2nd International Workshop and Prize Challenge on Agriculture-Vision, Challenges & Opportunities for Computer Vision in Agricutlure by Humphrey Shi, Naira Hovakimyan, Jennifer Hobbs, Ed Delp, Melba Crawford, Zhen Li, David Clifford, Jim Yuan, Mang Tik Chiu, Xingqian Xu
  

Sub-Meter Canopy Tree Height of California in 2020 by CTrees.org

Publications

• Canopy Height Unlocked: California Forest Resources Detailed in New Tree-level Map by Daniel Melling
  
• Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model by Fabien H Wagner, Sophia Roberts, Alison L Ritz, Griffin Carter, Ricardo Dalagnol, Samuel Favrichon, Mayumi CM Hirye, Martin Brandt, Philippe Ciais and Sassan Saatchi
  

High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta

Tutorials

• Investigating environmental characteristics of US cities using publicly available ASDI datasets by Darren Ko
  
  Amazon SageMaker Studio Lab

Longitudinal Nutrient Deficiency

Publications

• Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery by Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs
  

New Jersey Statewide Digital Aerial Imagery Catalog

Tutorials

• Visualize Imagery Changes by stephanie.bosits@tech.nj.gov
  

Clay Model v0 Embeddings

Tutorials

• Revolutionizing earth observation with geospatial foundation models on AWS by Karsten Schroer, Bishesh Adhikari, and Iza Moise