Mir Mustafizur Rahman

TL;DR: The HEAT (Home Energy Assessment Technologies) pilot project is a FREE Geoweb mapping service, designed to empower the urban energy efficiency movement by allowing residents to visualize the amount and location of waste heat leaving their homes and communities as easily as clicking on their house in Google Maps

TL;DR: Peatland disturbance in Alberta, Canada is studied, and induced methane emissions are approximately 4.4–5.1 kt higher per year than in undisturbed conditions, which will allow appropriate consideration of these emissions in future peatland management.

TL;DR: This study presents a novel workflow for mapping groundwater using orthophotography and photogrammetric point clouds acquired from unmanned aerial vehicles, and takes advantage of the fact that pockets of surface water are normally abundant in peatlands, which it assumes to be reflective of GWL in these porous, gently sloping environments.

TL;DR: UAV photogrammetric data acquired from an unmanned aerial vehicle (UAV or drone) to reproduce ground elevations measured in the field are found to capture elevation with accuracies, by root mean squares error, ranging from 14–42 cm, depending on the state of vegetation/surface complexity.

TL;DR: In this article, four relative radiometric normalization techniques including Histogram Matching, Pseudo Invariant Feature (PIF) Based Linear Regression, PIF-Based Theil-Sen Regression and No-Change Stratified Random Samples (NCSRS) based linear regression were evaluated on two adjacent TABI-1800 airborne flight-lines.