Browsing NILU by Subject "Remote sensing"
Now showing items 1-12 of 12
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Comparison of dust-layer heights from active and passive satellite sensors
(Journal article; Peer reviewed, 2018)Aerosol-layer height is essential for understanding the impact of aerosols on the climate system. As part of the European Space Agency Aerosol_cci project, aerosol-layer height as derived from passive thermal and solar ... -
Land surface temperature validation for WACMOS-ET. Reference input data set validation report.
(NILU report; 09/2017, Research report, 2017)The Land Surface Temperature (LST) products generated specifically for the WAter Cycle Observation Multi-mission Strategy – EvapoTranspiration (WACMOS-ET) project, funded by the European Space Agency (ESA), are evaluated ... -
Measurement of volcanic ash in Norwegian air space. WP 1.4.2 Improved detection of ash clouds.
(NILU OR;39/2013, Research report, 2013)Water and ice clouds and temperature conditions may often influence the detection of volcanic ash affected pixels in infrared satellite images. Several methods are available for the detection of ash clouds in SEVIRI images. ... -
Measurement of volcanic ash in Norwegian air space. WP 1.4.4 Reduced uncertainty in satellite-based estimates of ash concentrations.
(NILU OR;35/2013, Research report, 2013)Satellite-based measurements of volcanic ash give the total amount of volcanic ash per area, typically in units of grams of volcanic ash per square meter. To convert this to concentration the vertical thickness of the ash ... -
Performance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP data
(Journal article; Peer reviewed, 2018) -
Rotational Raman scattering in the O2-A and O2-B bands: simulations for Carbonsat, FLEX/FLORIS, MERIS and OLCI.
(NILU OR;10/2012, Research report, 2012)Rotational Raman scattering (RRS) causes filling-in of absorption lines in Earth shine spectra. It is routinely accounted for in analysis of UV and visible spectra measured both by satellite and ground-based instruments. ... -
Satellite remote sensing of Arctic fires - a literature and data review
(NILU report;29/2022, Research report, 2023)The main aim of this report is to prepare for the proposed SGA #17 of the Caroline Herschel Framework Partnership Agreement on Copernicus User Uptake Work Programme 2020 named “Arctic peat- and forest-fire information ... -
Synergistic exploitation of the methane product from Sentinel-SP for applications in the Arctic (STEPS)
(NILU report;14/2022, Research report, 2022)The main goal of this feasibility study was to evaluate the potential of adding value to the Sentinel 5P TROPOMI methane product over Norway and the Arctic through the synergistic use of relevant observations from other ... -
The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation
(Journal article; Peer reviewed, 2019)The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm retrieves vertical dust concentration profiles from cloud-free Infrared Atmospheric Sounding Interferometer (IASI) thermal infrared (TIR) radiances ... -
Towards better exploitation of Satellite data for monitoring Air Quality in Norway using downscaling techniques (SAT4AQN). Final project report.
(NILU report;2/2019, Research report, 2020)The main goal for the “Towards better exploitation of Satellite data for monitoring Air Quality in Norway using downscaling techniques” (Sat4AQN) project was to evaluate the potential of spatially downscaling satellite ... -
WP 1.2 Operationalization of satellite-based volcanic ash measurements.
(NILU OR;10/2013, Research report, 2013)Data from the SEVIRI instrument is available at NILU through EUMETCast. These data are processed at NILU to retrieve volcanic ash loading in a satellite pixel. The report describes operationalization and automatization of ... -
WP 1.4.1: Visualization of modelled SEVIRI IR-scenes for quality control.
(NILU OR;11/2013, Research report, 2013)The SEVIRI instrument produces infrared images. The report describes how the RTTOV radiative transfer model is used to simulate SEVIRI images for an ash situation.