Paul Sutton

Professor

University of Denver
Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Paul Sutton is a Professor at the University of Denver, USA. His research areas include ecological economics, environmental monitoring, and sustainable development, as reflected in his recent articles on light pollution, industrial activity monitoring, and the value of coastal wetlands. He is actively involved in the co-creation of initiatives aimed at promoting a regenerative future and assessing learning outcomes in the field of geography.

Articles (12)

Year:

2024

Year:

2023

Year:

2023

This paper reports on the first daily global monitoring program for natural gas flaring and industrial sites producing waste heat based on satellite observed infrared emissions. The Visible Infrared Imaging Radiometer Suite (VIIRS) collects nightly global infrared data in spectral bands ranging from near infrared (NIR) to longwave infrared (LWIR), providing a unique capability to detect and characterize infrared emitters at night. The VIIRS nightfire (VNF) algorithm identifies infrared (IR) emitters with multiple spectral bands and calculates the temperature, source area, and radiant heat via Planck curve fitting and physical laws. VNF data are produced nightly and extend from 2012 to the present. The most common infrared emitter is biomass burning, which must be filtered out. Industrial IR emitters can be distinguished from biomass burning based on temperature and persistence. The initial filtering to remove biomass burning was performed with 15 arc second grids formed from eleven years of VIIRS data, spanning 2012–2022. The locations and shapes of the remaining features were used to guide the generation of super-resolution pixel center clouds. These data clouds were then analyzed to define bounding vectors for single emitters and to split larger clusters into multiple emitters. A total of nearly 20,000 IR emitters were identified; each was assigned an identification number, and the type of emitter was recorded. Nightly temporal profiles were produced for each site, revealing activity patterns back to 2012. Nightly temporal profiles were kept current with weekly updates. Temporal profiles from individual sites were aggregated by country to form monthly profiles extending back to 2012. The nightly and monthly temporal profiles were suitable for analyzing industrial production, identifying disruption events, and tracking recovery. The data could also be used in tracking progress in energy conservation and greenhouse gas emission inventories.

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (7)

sharolyn anderson

Australian National University

AUSTRALIA
View details

Dale Rothman

Term Associate Professor

George Mason University

UNITED STATES
View details

Feng Chi Hsu

University of Colorado Boulder

UNITED STATES
View details

Kenneth Mulder

Visiting Associate Professor of Data Science

Mount Holyoke College

UNITED STATES
View details

Ida Kubiszewski

Associate Professor

University College London

UNITED KINGDOM
View details

James David Hopeward

University of South Australia

AUSTRALIA
View details

Steven D. Miller

Colorado State University

UNITED STATES
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.