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Seasonal sensitivity analysis of impervious surface estimation with satellite imagery / C. Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Seasonal sensitivity analysis of impervious surface estimation with satellite imagery Type de document : Article/Communication Auteurs : C. Wu, Auteur ; F. Yuan, Auteur Année de publication : 2007 Article en page(s) : pp 1393 - 1401 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse de sensibilité
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] Ohio (Etats-Unis)
[Termes IGN] régression
[Termes IGN] surface imperméable
[Termes IGN] variation saisonnièreRésumé : (Auteur) Numerous approaches have been developed to quantify the distribution of impervious surfaces using remote sensing technologies. Most of these approaches have been applied to data from a single time period, typically in the summer season (June to September). Presently, it is not clear whether there is an optimal time for impervious surface estimation with these methods. In this paper, the seasonal sensitivity of impervious surface estimation is examined. In particular, Landsat TM/ETM+ imagery for four different seasons has been acquired for the environs of Franklin County, Ohio. Two impervious surface estimation methods, spectral mixture analysis and regression modeling, are used to test for seasonal variations. Results indicate that the summer image provides better accuracy with the spectral mixture analysis method, while consistent accuracies are obtained for all four seasons with regression modeling. Copyright ASPRS Numéro de notice : A2007-543 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1393 En ligne : https://doi.org/10.14358/PERS.73.12.1393 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28906
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1393 - 1401[article]Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent / S. Drobot in Remote sensing of environment, vol 111 n° 2-3 (30 November 2007)
[article]
Titre : Using remote sensing data to develop seasonal outlooks for Arctic regional sea-ice minimum extent Type de document : Article/Communication Auteurs : S. Drobot, Auteur Année de publication : 2007 Article en page(s) : pp 136 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Arctique
[Termes IGN] Canada
[Termes IGN] épaisseur de la glace
[Termes IGN] glace de mer
[Termes IGN] prévision à court terme
[Termes IGN] régression linéaire
[Termes IGN] variation saisonnièreRésumé : (Auteur) This paper discusses the development of simple multiple linear regression (MLR) models for developing seasonal forecasts of the annual minimum sea-ice extent in the Beaufort/Chukchi Seas, the Laptev/East Siberian Seas, the Kara/Barents Seas, and the Canadian Arctic Archipelago regions. The potential predictor data are based on mean monthly weighted indices of sea-ice concentration, multiyear sea-ice concentration, surface skin temperature, surface albedo, and downwelling longwave radiation flux at the surface. Predictions are developed based on data available in March (spring forecast), to coincide with the National American Ice Service's annual outlooks, and based on data available in June (summer forecast), which would provide a seasonal revision. The final regression equations retain one to three predictors, and each of the MLR models is superior to climatology. The r2 for the MLR models range from a low of 0.44 (for the spring forecast in the Canadian Arctic Archipelago) to a high of 0.80 (for the summer forecast in the Beaufort/Chukchi Seas). Copyright Elsevier Numéro de notice : A2007-486 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.03.024 En ligne : https://doi.org/10.1016/j.rse.2007.03.024 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28849
in Remote sensing of environment > vol 111 n° 2-3 (30 November 2007) . - pp 136 - 147[article]Dual-frequency altimeter signal from Envisat on the Amery ice-shelf / Pascal Lacroix in Remote sensing of environment, vol 109 n° 3 (15 August 2007)
[article]
Titre : Dual-frequency altimeter signal from Envisat on the Amery ice-shelf Type de document : Article/Communication Auteurs : Pascal Lacroix, Auteur ; Benoit Legrésy, Auteur ; et al., Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 285 - 294 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement du signal
[Termes IGN] altimétrie par radar
[Termes IGN] Antarctique
[Termes IGN] bande S
[Termes IGN] calotte glaciaire
[Termes IGN] crevasse
[Termes IGN] écho radar
[Termes IGN] épaisseur de la glace
[Termes IGN] image Envisat-AATSR
[Termes IGN] réflectance de surface
[Termes IGN] réflexion spéculaire
[Termes IGN] traitement du signal
[Termes IGN] variation saisonnièreRésumé : (Auteur) In Antarctica, radar altimeter measurements are sensitive to dielectric and penetration properties of the sensed medium (snow) such that the spacecraft's altitude can be biased. Since 2002, relatively low frequency radar measurements over the Amery Ice Shelf, east Antarctica, have been acquired using the Envisat dual frequency altimeter at S (3.2 GHz) and Ku (13.6 GHz) bands, which penetrate a few meters into the firn. The altimeter signal is however modified in summer by the presence of snowfilled crevasses. Indeed, the specularity of the snow surfaces in summer makes the altimetric signal sensitive mostly to nadir echoes, that increases the ratio between the crevasse signal and the surrounding ice-shelf signal at nadir. Crevasses are distinguished by differences in backscattering behavior compared with the surrounding ice-shelf signal. Crevasses are characterized by a strong backscatter coefficient at Ku band and anomalies in the S band altitude estimation. These two characteristics make snowfilled crevasses detectable by the dual frequency altimeter of Envisat. We first retrieve the geometric properties of the crevasses using a hyperbolic shape function, created by strong crevasse backscatter in the Ku waveform measurements. From this retrieved crevasse signal and further waveform analysis, we assess the properties of the snow surface and its sub-surface. The crevasse, due to its small size compared to the altimeter footprint, is found to be an excellent target to study snow properties of the ice-shelf. The anomalies in the S band altitude measurements over crevasses can then be explained by the presence of a double echo in the S band waveforms. This echo is attributed to a reflection at the base of the snowbridge, where we see evidence of sub-surface echos in the individual altimeter waveforms. Based on this observation, a methodology is developed to estimate the thickness of the snowbridge. We calculate the penetration depths in the summer snow surface of the Amery at Ku band, that is found to be around 6 m. Copyright Elsevier Numéro de notice : A2007-312 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2007.01. En ligne : https://doi.org/10.1016/j.rse.2007.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28675
in Remote sensing of environment > vol 109 n° 3 (15 August 2007) . - pp 285 - 294[article]Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[article]Evaluation of the potential of SAR ERS and ASAR Envisat sensors in multi-incidence and multi-polarisation modes for landscape study in French Guyana: examples of Kourou and Saint Laurent du Maroni / J.L. Kouame in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)
[article]
contenu dans ISPRS Commission 1 Symposium 2006, Paris, Marne-la-Vallée, 3-6 Juillet 2006: Des capteurs à l'imagerie, 2. Tome 2 / Alain Baudoin (2006)
Titre : Evaluation of the potential of SAR ERS and ASAR Envisat sensors in multi-incidence and multi-polarisation modes for landscape study in French Guyana: examples of Kourou and Saint Laurent du Maroni Type de document : Article/Communication Auteurs : J.L. Kouame, Auteur ; Pierre-Louis Frison , Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 53 - 53 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] analyse comparative
[Termes IGN] analyse discriminante
[Termes IGN] angle d'incidence
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] image Envisat-ASAR
[Termes IGN] image ERS-SAR
[Termes IGN] image radar
[Termes IGN] Kourou
[Termes IGN] mesure de la qualité
[Termes IGN] occupation du sol
[Termes IGN] polarisation
[Termes IGN] Saint-Laurent-du-Maroni
[Termes IGN] surveillance du littoral
[Termes IGN] variation saisonnièreRésumé : (Auteur) This study aims to assess the contribution of ENVISAT ASAR data for the monitoring of the littoral plains of Kourou and Saint Laurent du Maroni (French Guyana). It presents results of qualitative and quantitative analyses of SAR ERS and ASAR ENVISAT data based on the following comparative criteria for landscape types discrimination: 1- Comparison between SAR ERS and ASAR ENVISAT in same configuration acquisition (mode IS2), 2- Seasonal influences (dry vs rainy season effects), 3- Incidence angle influences (exploitation of ASAR ENVISAT incidence angle range), 4- Polarization influences (exploitation of ASAR ENVISAT Image and Alternating Polarization modes data). The calibration of the different considered radar images allows their inter comparison in order to obtain information about landscape type's properties (dielectric, moistures, real evolutions) and on homogeneous parcel of land. The study showed that different parameters, like the season, the incidence angle, and the polarization, strongly influence the radar signal observed over such landscape types. In addition, results show that ASAR-IS2 mode, similar to ERS-SAR configuration ensures the continuity of SAR ERS-1&2 for land surface monitoring. However, it arises that discrimination between various types of landscape are confusing when analysing the backscattering coefficient values alone. The backscattering coefficients only cannot allow discriminating all the different landscape classes. Other parameters like texture, structure, geographical position, form and size are needed for landscape type's discrimination from radar images. Copyright SFPT Numéro de notice : A2006-622 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueNat DOI : sans En ligne : https://www.isprs.org/proceedings/XXXVI/part1/Papers/PS2-27.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28345
in Revue Française de Photogrammétrie et de Télédétection > n° 182 (Juin 2006) . - pp 53 - 53[article]Exemplaires(1)
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