Gabriela Ifimov

National Research Council Canada | NRC · NRC Aerospace

This presentation addresses the vicarious calibration and atmospheric correction of the Watersat Imaging Spectrometer Experiment (WISE) from measuring in situ water-leaving reflectance to validating remotely sensed water-leaving reflectance.

This presentation highlights the importance of system vicarious calibration for airborne imaging spectroscopy. It details the procedure, starting with in situ calculation of water leaving reflectance, modelization of at-sensor reflectance, determination of system vicarious calibration gains, and validation of atmospheric correction.

The increase in annual wildfires in many areas of the world has triggered international efforts to deploy sensors on airborne and space platforms to map these events and understand their behaviour. During the summer of 2017, an airborne flight campaign acquired mid-wave infrared imagery over active wildfires in Northern Ontario, Canada. However, it...

The study aims to classify the coastline of Manicouagan Peninsula, QC using WaterSat Imaging Experiment (WISE) hyperspectral imagery. A probabilistic pixel-based spectral classification scheme is integrated with contextual spatial pattern regularization using Bayesian MAP approach.

The data acquisition and initial spectroradiometric assessment of an airborne hyperspectral data set acquired with the novel WISE sensor for the mapping of a shallow aquatic environment in the Gulf of St. Lawrence is described.

Advances in Earth Observation technologies, particularly hyperspectral remote sensing, can fill important gaps in the information needed about shallow coastal habitats, which are among the most productive ecosystems of the world oceans (e.g. eelgrass meadows, kelp forests, etc). The main objectives of this project were 1) to test the new WaterSAT I...

Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arctic regions were developed and assessed as an integrated up-scaling methodology that considers: (i) calibration of a laboratory reflectance reference panel; (ii) cross-calibration of multiple field panels; (iii) quality assurance checks of field spectroscopy...

Hyperspectral remote sensing provides a wealth of data essential for vegetation studies encompassing a wide range of applications (e.g., species diversity, ecosystem monitoring, etc.). The development and implementation of UAV-based hyperspectral systems have gained popularity over the last few years with novel efforts to demonstrate their operabil...

Peatlands cover very large extents in northern regions and play a significant role in the global carbon cycle by functioning as a carbon sink. Large-scale satellite based monitoring systems, such as the Sentinel-2 Multispectral Instrument (MSI), are necessary to improve our understanding of how these ecosystems respond to climate change by providin...

Peatlands cover a large area in Canada and globally (12% and 3% of the landmass, respectively). These ecosystems play an important role in climate regulation through the sequestration of carbon dioxide from, and the release of methane to, the atmosphere. Monitoring approaches, required to understand the response of peatlands to climate change at la...