The Digital Imaging and Remote Sensing (DIRS) Laboratory was formed over 30 years ago at the Rochester Institute of Technology (RIT) to serve as a focal point for remote sensing research and education at RIT. The DIRS Laboratory is one of the research laboratories within RIT's Chester F. Carlson Center for Imaging Science, an academic unit within the College of Science. DIRS focuses on the development of tools to extract information about the earth from aerial and satellite imaging systems with an emphasis on the application of science and engineering to solving end-to-end remote sensing problems using a systems engineering approach. This includes design and development of imaging instruments, developing algorithms to extract information from remotely sensed systems and measurement and modeling of the physical phenomena associated with the formation of remotely sensed images. DIRS currently has about 40 graduate students conducting advanced remote sensing research who are supported by 10 faculty and 10 full time research and administrative staff. DIRS has on-going research partnerships with multiple federal agencies, large and small companies, and other academic institutions.

Check out our Resources page for a listing of our equipment for image and ground reference data.

2015-16 DIRS Annual Report

DIRS Group Meeting Schedule Fall 2016. We meet Wednesdays at 11 am in CAR-3215.

9/7John KerekesOverview of DIRS Laboratory and Projects
9/14Zhaoyu CuiFuture Landsat Spatial-spectral Trade-off Study

Gefei Yang

Jared van Cor

Machine Learning and Statistical Analysis for Reflectance Spectrum Classification

Quantifying the Relevence of Earthshine in Exoatmospheric Imaging

9/28Adam GoodenoughDIRSIG 5.0

Mingming Wang

Ron Kemker

Validating DIRSIG 5 Via RAMI Scenes

Generating Labeled Data for Deep Semantic Segmentation in Remote Sensing Imagery


Emily Myers

Greg Badura

Predicting Above- and Below-ground Carbon Storage in Wetland Ecosystems

The Effect of Roughness on the Reflectance of Sediments


Runchen Zhao

Yue Wang

Improvements to an Earth Observing Statistical Performance Model with Applications to LWIR Spectral Variability

Stray Light Calibration for Landsat 8 TIRS


Ryan Ford

Paul Sponagle

Quantification of Cynobacteria Blooms Using UAS Imagery

Automated Flight Planning Tools for Imaging Purposes


Nirmalan Jeganathan

Tania Kleynhans


Estimating Top-of-atmosphere Thermal Infrared Radiance using MERRA2 Atmospheric Data


Mahshad Mahdavi

McKay Williams


Utsav Gewali

Colin Axel


Brittany Ambeau

Rehman Eon


Yihang Sun

Tim Gibbs