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MOREAU M., LAFFLY D., JOLY D., BROSSARD T. |
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Title |
Analysing of plant colonization on an arctic moraine since the end of the Little Ice using remotely sensed data and a Bayesian approach. |
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Journal Article |
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2005 |
Publication  |
Remote sensing of environment |
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99 |
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3 |
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244-253 |
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304 |
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0034-4257 |
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yes |
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4048 |
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B. Montpetit, A. Royer, A. Roy, A. Langlois |
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Title |
In-situ passive microwave emission model parameterization of sub-arctic frozen organic soils |
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Year |
2018 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
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Volume |
205 |
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Pages |
112-118 |
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Keywords |
Frozen soil Passive microwave radiometry Snow radiometry Soil reflectivity model |
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1073 |
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0034-4257 |
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yes |
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8200 |
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Griselin Madeleine, Laffly Dominique, Bernard Eric, Tolle Florian, Marlin Christelle, Friedt Jean-Michel, Schwarborn G, Delangle E, |
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Title |
2D and 3D variations of an Arctic Glacier to recent climate change since forty years (Austre Lovenbreen, Svalbard, 79\degreN)
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Journal Article |
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Year |
2010 |
Publication |
REMOTE SENSING OF ENVIRONMENT |
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304 |
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0034-4257 |
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yes |
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Call Number |
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Serial |
2725 |
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Author |
Macelloni Giovanni, Leduc-Leballeur Marion, Brogioni Marco, Ritz Catherine, Picard Ghislain, |
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Title |
Analyzing and modeling the SMOS spatial variations in the East Antarctic Plateau |
Type |
Journal Article |
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Year |
2016 |
Publication |
REMOTE SENSING OF ENVIRONMENT |
Abbreviated Journal |
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Volume |
180 |
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Pages |
193-204 |
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Keywords |
Antarctica, Ice sheet temperature, Microwave emission model, SMOS, |
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Abstract |
The SMOS brightness temperature (TB) collected on the East Antarctic Plateau revealed spatial signatures at L-band that have never before been observed when only higher-frequency passive microwave observations were available, and this has opened up a new field of research. Because of the much greater penetration depth, modeling the microwave ice sheet emission requires taking into account not only snow conditions on the surface, but should also include glaciological information. Even if the penetration depth of the L-band is not well known due to the uncertainty on the imaginary part of the ice permittivity, it is likely to be of the order of several hundreds of meters, which means that the temperature of the ice over a depth of nearly 1000 m influences the emission. Over such a depth, the temperature is related to both the surface conditions and to the ice sheet thickness, which in turn depends on the bedrock topography and on other glaciological variables. The present paper aims to provide a thorough theoretical explanation of the observed TB spatial variation close to the Brewster angle at vertical polarization, in order to limit the effect of surface and vertical density variability in the firn. In order to provide reliable inputs to the microwave emission models used for simulating TB data, an in-depth analysis of the temperature profiles was performed by means of glaciological models. The comparison between simulated and observed data over three transects totalling 2000 km in East Antarctica pointed out that, whereas the emission models are capable of explaining the TB spatial variations of several kelvins (0.7 and 2.9 K), they are unable to predict its absolute value correctly. This study also shows that the main limiting factor in simulating low-frequency microwave data is the uncertainty in the currently available imaginary part of the ice permittivity. |
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902,1110 |
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Thesis |
Bachelor's thesis |
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0034-4257 |
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yes |
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Call Number |
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Serial |
6426 |
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Title |
Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling |
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Journal |
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Year |
2017 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
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Volume |
203 |
Issue |
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Pages |
296-321 |
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Keywords |
Aerosol burden Aerosol remote sensing Climate data record Climate modelling ENVISAT GOMOS Lidar Stratospheric aerosol extinction Volcanic eruptions |
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Abstract |
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Programme |
209 |
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ISSN |
0034-4257 |
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0034-4257 |
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Approved |
yes |
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Call Number |
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Serial |
6753 |
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Author |
M. Leduc-Leballeur, G. Picard, G. Macelloni, L. Arnaud, M. Brogioni, A. Mialon, Y. H. Kerr |
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Title |
Influence of snow surface properties on L-band brightness temperature at Dome C, Antarctica |
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Journal |
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Year |
2017 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
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Volume |
199 |
Issue |
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Pages |
427-436 |
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Keywords |
Cryosphere Microwave SMOS Snow emission modeling |
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Programme |
1110 |
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0034-4257 |
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0034-4257 |
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yes |
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Call Number |
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Serial |
6774 |
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Author |
Giovanni Macelloni, Marion Leduc-Leballeur, Francesco Montomoli, Marco Brogioni, Catherine Ritz, Ghislain Picard |
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Title |
On the retrieval of internal temperature of Antarctica Ice Sheet by using SMOS observations |
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Journal |
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Year |
2019 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
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Volume |
233 |
Issue |
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Pages |
111405 |
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Keywords |
Cryosphere L band Snow/ice microwave emission model |
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Abstract |
Internal temperature is an essential parameter for understanding ice sheet dynamics. Glaciological models provide estimations of temperature profiles over Antarctica and few boreholes are also available, but, at present, no measurement exists at the scale of the whole continent. The analysis of passive L-band observations from the Soil Moisture and Ocean Salinity (SMOS) satellite shows that, thanks to the high penetration depth (i.e. up to 1500?m), it is possible to infer information on in depth glaciological properties of the ice sheet including temperature. In this study, the temperature profile is retrieved from SMOS observations using jointly glaciological and emission models. The developed methodology is valid in the inner part of Antarctica where the ice sheet is almost stable (i.e. its velocity is limited to 10?m?yr?1). This analysis points out that in several cases, differences are observed between retrieved temperature profiles and those predicted by glaciological models. In particular, some geophysical parameters, namely the geothermal heat flux and the mean annual accumulation, need to be modified with respect to their prior values in order to simulate SMOS brightness temperatures. Results also clearly show that the reliability of the retrieved profile in depth decreases with increasing ice thickness due to the limited penetration of microwaves in the ice. The obtained results prove the capability of L band (1.4?GHz) passive microwave sensors for investigating the internal temperature of the ice-sheet. |
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1110 |
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0034-4257 |
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0034-4257 |
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yes |
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Serial |
6977 |
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Title |
Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) |
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Journal |
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Year |
2021 |
Publication |
Remote Sensing of Environment |
Abbreviated Journal |
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Volume |
263 |
Issue |
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Pages |
112534 |
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Keywords |
Antarctic ice sheet Field measurements Modeling Radar altimetry Remote sensing SMRT Waveform |
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Abstract |
Radar altimeters are important tools to monitor the volume of the ice sheets. The penetration of radar waves in the snowpack is a major source of uncertainty to retrieve surface elevation. To correct this effect, a better understanding of the sensitivity of the radar waveforms to snow properties is needed. Here, we present an extension of the Snow Model Radiative Transfer (SMRT) to compute radar waveforms and conduct a series of simulations on the Antarctic ice sheet. SMRT is driven by snow and surface roughness properties measured over a large latitudinal range during two field campaigns on the Antarctic Plateau. These measurements show that the snowpack is rougher, denser, less stratified, warmer, and has smaller snow grains near the coast than on the central Plateau. These simulations are compared to satellite observations in the Ka, Ku, and S bands. SMRT reproduces the observed waveforms well. For all sites and all sensors, the main contribution comes from the surface echo. The echo from snow grains (volume scattering) represents up to 40% of the amplitude of the total waveform power in the Ka band, and less at the lower frequencies. The highest amplitude is observed on the central Plateau due to the combination of higher reflection from the surface, higher scattering by snow grains in the Ka and Ku bands, and higher inter-layer reflections in the S band. In the Ka band, the wave penetrates in the snowpack less deeply on the central Plateau than near the coast because of the strong scattering caused by the larger snow grains. The opposite is observed in the S band, the wave penetrates deeper on the central Plateau because of the lower absorption due to the lower snow temperatures. The elevation bias caused by wave penetration into the snowpack show a constant bias of 10 cm for all sites in the Ka band, and a bias of 11 cm, and 21 cm in the Ku band for sites close to the coast and the central Plateau, respectively. Now that SMRT is performing waveform simulations, further work will address how the snowpack properties affect the parameters retrieved by more advanced retracking algorithms such as ICE-2 for different snow cover surfaces. |
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1110 |
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0034-4257 |
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yes |
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Serial |
7997 |
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Year |
2021 |
Publication |
Remote Sensing |
Abbreviated Journal |
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Volume |
13 |
Issue |
10 |
Pages |
1978 |
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Keywords |
arctic cryosphere moraine photogrammetry snow water equivalent snowcover spatial dynamics UAV-SfM |
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Abstract |
The global climate shift currently underway has significant impacts on both the quality and quantity of snow precipitation. This directly influences the spatial variability of the snowpack as well as cumulative snow height. Contemporary glacier retreat reorganizes periglacial morphology: while the glacier area decreases, the moraine area increases. The latter is becoming a new water storage potential that is almost as important as the glacier itself, but with considerably more complex topography. Hence, this work fills one of the missing variables of the hydrological budget equation of an arctic glacier basin by providing an estimate of the snow water equivalent (SWE) of the moraine contribution. Such a result is achieved by investigating Structure from Motion (SfM) image processing that is applied to pictures collected from an Unmanned Aerial Vehicle (UAV) as a method for producing snow depth maps over the proglacial moraine area. Several UAV campaigns were carried out on a small glacial basin in Spitsbergen (Arctic): the measurements were made at the maximum snow accumulation season (late April), while the reference topography maps were acquired at the end of the hydrological year (late September) when the moraine is mostly free of snow. The snow depth is determined from Digital Surface Model (DSM) subtraction. Utilizing dedicated and natural ground control points for relative positioning of the DSMs, the relative DSM georeferencing with sub-meter accuracy removes the main source of uncertainty when assessing snow depth. For areas where snow is deposited on bare rock surfaces, the correlation between avalanche probe in-situ snow depth measurements and DSM differences is excellent. Differences in ice covered areas between the two measurement techniques are attributed to the different quantities measured: while the former only measures snow accumulation, the latter includes all of the ice accumulation during winter through which the probe cannot penetrate, in addition to the snow cover. When such inconsistencies are observed, icing thicknesses are the source of the discrepancy that is observed between avalanche probe snow cover depth measurements and differences of DSMs. |
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1108 |
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4442 |
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Alexander Kokhanovsky, Maxim Lamare, Olaf Danne, Carsten Brockmann, Marie Dumont, Ghislain Picard, Laurent Arnaud, Vincent Favier, Bruno Jourdain, Emmanuel Le Meur, Biagio Di Mauro, Teruo Aoki, Masashi Niwano, Vladimir Rozanov, Sergey Korkin, Sepp Kipfstuhl, Johannes Freitag, Maria Hoerhold, Alexandra Zuhr, Diana Vladimirova, Anne-Katrine Faber, Hans Christian Steen-Larsen, Sonja Wahl, Jonas K. Andersen, Baptiste Vandecrux, Dirk van As, Kenneth D. Mankoff, Michael Kern, Eleonora Zege, Jason E. Box |
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Title |
Retrieval of snow properties from the Sentinel-3 Ocean and Land Colour Instrument |
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Year |
2019 |
Publication |
Remote Sensing |
Abbreviated Journal |
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Volume |
11 |
Issue |
19 |
Pages |
2280 |
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Keywords |
albedo OLCI optical remote sensing Sentinel 3 snow characteristics sow grain size specific surface area |
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1110 |
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Bachelor's thesis |
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yes |
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7487 |
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