Explanipedia

The Multi-Temporal Urban Development SpaceNet Dataset Open

Adam Van Etten, David B. Hogan, Jesus Martinez-Manso, Jacob Shermeyer, N. Weir , et al. · 2021

Satellite imagery analytics have numerous human development and disaster response applications, particularly when time series methods are involved. For example, quantifying population statistics is fundamental to 67 of the 231 United Natio…

Road Network and Travel Time Extraction from Multiple Look Angles with Spacenet Data Open

Adam Van Etten, Jacob Shermeyer, David B. Hogan, N. Weir, Ryan Lewis · 2020

Identification of road networks and optimal routes directly from remote\nsensing is of critical importance to a broad array of humanitarian and\ncommercial applications. Yet while identification of road pixels has been\nattempted before, e…

RarePlanes: Synthetic Data Takes Flight Open

Jacob Shermeyer, Thomas Hossler, Adam Van Etten, David B. Hogan, Ryan Lewis , et al. · 2020

RarePlanes is a unique open-source machine learning dataset that incorporates both real and synthetically generated satellite imagery. The RarePlanes dataset specifically focuses on the value of synthetic data to aid computer vision algori…

SpaceNet 6: Multi-Sensor All Weather Mapping Dataset Open

Jacob Shermeyer, David B. Hogan, Jason Brown, Adam Van Etten, N. Weir , et al. · 2020

Within the remote sensing domain, a diverse set of acquisition modalities exist, each with their own unique strengths and weaknesses. Yet, most of the current literature and open datasets only deal with electro-optical (optical) data for d…

Comet Time Series Visualizer: CometTS Open

Jacob Shermeyer · 2019

Comet Time Series (CometTS) is a software package and tool that enables workflows for the analysis and visualization of a time series of satellite imagery for the data science and geographic science communities.The tool aims to enable popu…

SpaceNet MVOI: A Multi-View Overhead Imagery Dataset Open

N. Weir, David Lindenbaum, Alexei Bastidas, Adam Van Etten, Varun Kumar , et al. · 2019

Detection and segmentation of objects in overheard imagery is a challenging task. The variable density, random orientation, small size, and instance-to-instance heterogeneity of objects in overhead imagery calls for approaches distinct fro…

Comet Time Series Visualizer: CometTS Open

Jacob Shermeyer · 2019

Comet Time Series (CometTS) is a software package and tool that enables workflows for the analysis and visualization of a time series of satellite imagery for the data science and geographic science communities. The tool aims to enable pop…

Mapping Crop Residue by Combining Landsat and WorldView-3 Satellite Imagery Open

W. Dean Hively, Jacob Shermeyer, Brian T. Lamb, Craig S. T. Daughtry, Miguel Quemada , et al. · 2019

A unique, multi-tiered approach was applied to map crop residue cover on the Eastern Shore of the Chesapeake Bay, United States. Field measurements of crop residue cover were used to calibrate residue mapping using shortwave infrared (SWIR…

The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery Open

Jacob Shermeyer, Adam Van Etten · 2019

We explore the application of super-resolution techniques to satellite imagery, and the effects of these techniques on object detection algorithm performance. Specifically, we enhance satellite imagery beyond its native resolution, and tes…

The Effects of Super-Resolution on Object Detection Performance in\n Satellite Imagery Open

Jacob Shermeyer, A. Van Etten · 2018

We explore the application of super-resolution techniques to satellite\nimagery, and the effects of these techniques on object detection algorithm\nperformance. Specifically, we enhance satellite imagery beyond its native\nresolution, and …

Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices Open

W. Dean Hively, Brian T. Lamb, Craig S. T. Daughtry, Jacob Shermeyer, Gregory W. McCarty , et al. · 2018

Crop residues serve many important functions in agricultural conservation including preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop residue cover on a field surface reflects the outcome of tilla…

Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data Open

James E. Vogelmann, Phung Van Khoa, Do Xuan Lan, Jacob Shermeyer, Hua Shi , et al. · 2017

Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses conc…

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