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Correcting distortion of polarimetric SAR data induced by ionospheric scintillation / Jun Su Kim in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)
[article]
Titre : Correcting distortion of polarimetric SAR data induced by ionospheric scintillation Type de document : Article/Communication Auteurs : Jun Su Kim, Auteur ; Konstantinos Panagiotis Papathanassiou, Auteur ; Rolf Scheiber, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 6319 - 6335 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] bande P
[Termes IGN] correction ionosphérique
[Termes IGN] données polarimétriques
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radar
[Termes IGN] scintillationRésumé : (auteur) A correction methodology for distortions induced by ionospheric scintillation on fully polarimetric synthetic aperture radar (SAR) data is proposed. The correction is based on deriving the phase distortion induced by the ionosphere from Faraday rotation estimates. The estimated phase distortion is then used for correction. In order to compensate the phase and time-Doppler history distortions, the correction has to be performed at the slant range of the ionospheric layer, i.e., on partially focused single-look complex data. Accordingly, the performance of the proposed correction methodology depends, among other factors, on knowledge of the altitude of the effective ionospheric layer (assuming the thin ionospheric layer model). Its estimation from the SAR data itself is therefore also addressed. The methodology was applied and validated on simulated P-band data for various ionospheric conditions and on real L-band data acquired by the Advanced Land Observation Satellite Phased Array L-band SAR (PALSAR). Numéro de notice : A2015-842 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2431856 Date de publication en ligne : 05/08/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2431856 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79186
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 12 (December 2015) . - pp 6319 - 6335[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015121 SL Revue Centre de documentation Revues en salle Disponible Measuring urban volume: geospatial technique and application / Ronald C. Estoque in Tsukuba geoenvironmental sciences, vol 11 ([01/12/2015])
[article]
Titre : Measuring urban volume: geospatial technique and application Type de document : Article/Communication Auteurs : Ronald C. Estoque, Auteur ; Yuji Murayama, Auteur ; Takeo Tadono, Auteur ; Rajesh B. Thapa, Auteur Année de publication : 2015 Article en page(s) : pp 13 - 20 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse spatiale
[Termes IGN] hauteur du bâti
[Termes IGN] image ALOS-PRISM
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle numérique du bâti
[Termes IGN] volume (grandeur)
[Termes IGN] zone urbaineRésumé : (auteur) Geospatial techniques based on remote sensing and geographic information system (GIS) are important in urban studies. However, based on traditional techniques, the analysis of the intensity ans spatial pattern of urban land use is, in most cases, based only on the lateral extent of built-up lands (two-dimensional). The increasing availability of geospatial data, such remote sensing satellite imageries and digital surfaces models, provides an opportunity for the integration of the third dimension in urban analysis, i.e. height of urban features such as high-rise buildings, into urban studies, and thus enables the estimation of the so-called urban volume. This study introduces a geospatial technique for estimating urban volume, focusing on the use of a digital surface model (DSM) derived from Alos PRISM data. It also presents a method for deriving a digital terrain model (DTM) from a DSM. The proposed technique was tested in Makati City, Metro Manila, Philippines. Overall, the results show that the proposed technique is capable of taking into consideration the height dimension in urban analysis. The proposed two-step grid-based method for deriving a DTM from DSM is also implementable and promising. In this method, there is a need to calibrate the size of the mesh for identifying the pixels or points to be used in DTM interpolation. This is because different mesh size can produce subtantially different DTMs, suface feature height values and urban volumes estimates. Numéro de notice : A2015--037 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81048
in Tsukuba geoenvironmental sciences > vol 11 [01/12/2015] . - pp 13 - 20[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 15916-01 37.20 Tiré à part Centre de documentation Revues en salle Disponible Forest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI / Yuanwei Qin in ISPRS Journal of photogrammetry and remote sensing, vol 109 (November 2015)
[article]
Titre : Forest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI Type de document : Article/Communication Auteurs : Yuanwei Qin, Auteur ; Xiangming Xiao, Auteur ; Jinwei Dong, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 1 - 16 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] base de données d'occupation du sol
[Termes IGN] carte de la végétation
[Termes IGN] carte thématique
[Termes IGN] Chine
[Termes IGN] classification par arbre de décision
[Termes IGN] forêt
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Terra-MODIS
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] superposition d'images
[Termes IGN] teneur en carboneRésumé : (auteur) Forests and their changes are important to the regional and global carbon cycle, biodiversity and ecosystem services. Some uncertainty about forest cover area in China calls for an accurate and updated forest cover map. In this study, we combined ALOS PALSAR orthorectified 50-m mosaic images (FBD mode with HH and HV polarization) and MODIS time series data in 2010 to map forests in China. We used MODIS-based NDVI dataset (MOD13Q1, 250-m spatial resolution) to generate a map of annual maximum NDVI and used it to mask out built-up lands, barren lands, and sparsely vegetated lands. We developed a decision tree classification algorithm to identify forest and non-forest land cover, based on the signature analysis of PALSAR backscatter coefficient data. The PALSAR-based algorithm was then applied to produce a forest cover map in China in 2010. The resulting forest/non-forest classification map has an overall accuracy of 96.2% and a Kappa Coefficient of 0.91. The resultant 50-m PALSAR-based forest cover map was compared to five forest cover databases. The total forest area (2.02 × 106 km2) in China from the PALSAR-based forest map is close to the forest area estimates from China National Forestry Inventory (1.95 × 106 km2), JAXA (2.00 × 106 km2), and FAO FRA (2.07 × 106 km2). There are good linear relationships between the PALSAR-based forest map and the forest maps from the JAXA, MCD12Q1, and NLCD-China datasets at the province and county scales. All the forest maps have similar spatial distributions of forest/non-forest at pixel scale. Our PALSAR-based forest map recognizes well the agro-forests in China. The results of this study demonstrate the potential of integrating PALSAR and MODIS images to map forests in large areas. The resultant map of forest cover in China in 2010 can be used for many studies such as forest carbon cycle and ecological restoration. Numéro de notice : A2015-854 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.08.010 En ligne : https://doi.org/10.1016/j.isprsjprs.2015.08.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79234
in ISPRS Journal of photogrammetry and remote sensing > vol 109 (November 2015) . - pp 1 - 16[article]Multitemporal fluctuations in L-Band Backscatter from a japanese forest / Manabu Watanabe in IEEE Transactions on geoscience and remote sensing, vol 53 n° 11 (November 2015)
[article]
Titre : Multitemporal fluctuations in L-Band Backscatter from a japanese forest Type de document : Article/Communication Auteurs : Manabu Watanabe, Auteur ; Takeshi Motohka, Auteur ; Tomohiro Shiraishi, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 5799 - 5813 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse forestière
[Termes IGN] coefficient de rétrodiffusion
[Termes IGN] constante diélectrique
[Termes IGN] données multitemporelles
[Termes IGN] forêt
[Termes IGN] image ALOS
[Termes IGN] image radar moirée
[Termes IGN] JaponRésumé : (Auteur) The temporal variations (diurnal and annual) in arboreal (εTree) and bare soil (εSoil) dielectric constants and their correlation with precipitation were examined for several trees in Japan. A significant (1 σ (standard deviation) and 2 σ) εTree increase is observed after rainfall at 89.8% and 90.5% probability. However, rainfall does not always induce significant εTree increases. Rainfall of more than 5 mm/day can induce 1 σ εTree Tree increase at a 59.6% probability. In order to examine whether the increase in εTree affects the L-band σ0 variation in a forest, the four-year temporal variation of the L-band backscattering coefficient (σ0) was estimated from observations by the Advanced Land Observing Satellite Phased Array type L-band Synthetic Aperture Radar. Observed maximum absolute deviations from the mean over the forest area were 1.0 and 1.2 dB for σHH0 and σHV0, respectively, and 4.0 and 3.0 dB over open land. σ0 and rainfall correlations show that εTree and σForest0 are proportional to precipitation integrated over seven or eight days; εSoil and σOpen land0 are proportional to precipitation integrated over three days. This finding indicates that εTree variations influence σForest areas0. A stronger correlation between σHV0 and precipitation is observed in several sites with low σHV0, where less biomass is expected, and several sites with high σHV0, where more biomass is expected. A weaker correlation between σHV0 and precipitation is observed for several sites with high σ- sub>HV0. These differences may be explained by the different contributions of double bounce scattering and potential transpiration, which is a measure of the ability of the atmosphere to remove water from the surface through the processes of transpiration. The two other results were as follows: 1) The functional relation between aboveground biomass and σ0 showed dependence on precipitation data, this being an effect connected with seasonal changes of the εTree. This experiment reinforces the fact that the dry season is preferable for retrieval of woody biomass from inversion of the functional dependence of SAR backscatter and for avoiding the influence of rainfall. 2) The complex dielectric constant for a tree trunk, which is measured between 0.2 and 6 GHz, indicates that free water is dominant in the measured tree. Numéro de notice : A2015-774 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2415832 Date de publication en ligne : 05/06/2015 En ligne : https://doi.org/10.1109/TGRS.2015.2415832 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78832
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 11 (November 2015) . - pp 5799 - 5813[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015111 SL Revue Centre de documentation Revues en salle Disponible Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data / Lauri Korhonen in Silva fennica, vol 49 n° 5 ([01/10/2015])
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Titre : Tropical forest canopy cover estimation using satellite imagery and airborne lidar reference data Type de document : Article/Communication Auteurs : Lauri Korhonen, Auteur ; Daniela Ali-Sisto, Auteur ; Timo Tokola, Auteur Année de publication : 2015 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] canopée
[Termes IGN] couvert forestier
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-AVNIR2
[Termes IGN] image optique
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] Laos
[Termes IGN] placette d'échantillonnage
[Termes IGN] régression logistique
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) The fusion of optical satellite imagery, strips of lidar data and field plots is a promising approach for the inventory of tropical forests. Airborne lidars also enable an accurate direct estimation of the forest canopy cover (CC), and thus a sample of lidar strips can be used as reference data for creating CC maps which are based on satellite images. In this study, our objective was to validate CC maps obtained from an ALOS AVNIR-2 satellite image wall-to-wall, against a lidar-based CC map of a tropical forest area located in Laos. The reference CC values which were needed for model training were obtained from a sample of four lidar strips. Zero-and-one inflated beta regression (ZOINBR) models were applied to link the spectral vegetation indices derived from the ALOS image with the lidar-based CC estimates. In addition, we compared ZOINBR and logistic regression models in the forest area estimation by using >20% CC as a forest definition. Using a total of 409 217 30 × 30 m population units as validation, our model showed a strong correlation between lidar-based CC and spectral satellite features (root mean square error = 12.8%, R2 = 0.82). In the forest area estimation, a direct classification using logistic regression provided better accuracy than the estimation of CC values as an intermediate step (kappa = 0.61 vs. 0.53). It is important to obtain sufficient training data from both ends of the CC range. The forest area estimation should be done before the CC estimation, rather than vice versa. Numéro de notice : A2015-673 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.14214/sf.1405 En ligne : http://www.silvafennica.fi/article/1405 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78293
in Silva fennica > vol 49 n° 5 [01/10/2015][article]Understanding the effects of ALS pulse density for metric retrieval across diverse forest types / Phil Wilkes in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 8 (August 2015)PermalinkCartographie du châtaignier en Alsace par imagerie satellite multi-date / Colette Meyer in Revue Française de Photogrammétrie et de Télédétection, n° 211 - 212 (juillet - décembre 2015)PermalinkSavannah woody structure modelling and mapping using multi-frequency (X-, C- and L-band) Synthetic Aperture Radar data / Laven Naidoo in ISPRS Journal of photogrammetry and remote sensing, vol 105 (July 2015)PermalinkCompilation de données radar et optiques pour la cartographie des classes d'occupation du sol aux environs du système lacustre de Bizerte (Tunisie du Nord) / Ibtissem Amri in Photo interprétation, European journal of applied remote sensing, vol 51 n° 2 (juin 2015)PermalinkMapping aboveground biomass in northern japanese forests using the ALOS PRISM digital surface model / Takeshi Motohka in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)PermalinkCalibration of SAR polarimetric images by means of a covariance matching approach / Alberto Villa in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)PermalinkTemporal decorrelation in L-, C-, and X-band satellite radar interferometry for pasture on drained cs / Yu Morishita in IEEE Transactions on geoscience and remote sensing, vol 53 n° 2 (February 2015)PermalinkApport de la télédétection radar polarimétrique pour la discrimination et la distribution spatiale des groupements végétaux / Florence Palla (2015)PermalinkRetrieving three-dimensional displacement fields of mining areas from a single InSAR pair / Zhi Wei Li in Journal of geodesy, vol 89 n° 1 (January 2015)PermalinkTopographic correction of ALOS-PALSAR images using InSAR-derived DEM / Anup Das in Geocarto international, vol 30 n° 1 - 2 (January - February 2015)PermalinkModelling electrical conductivity of soil from backscattering coefficient of microwave remotely sensed data using artificial neural network / Walaiporn Phonphan in Geocarto international, vol 29 n° 7 - 8 (November - December 2014)PermalinkLand cover and soil type mapping from spaceborne PolSAR Data at L-Band with probabilistic neural network / Oleg Antropov in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)PermalinkQuantification of L-band InSAR coherence over volcanic areas using LiDAR and in situ measurements / Mélanie Arab-Sedze in Remote sensing of environment, vol 152 (September 2014)PermalinkAdvanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development / O. Idrees Mohammed in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkCoastal and marine ecological changes and fish cage culture development in Phu Quoc, Vietnam (2001 to 2011) / Diep Thi Hong Nguyen in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkAn inventory of the above ground biomass in the Mau Forest Ecosystem, Kenya / Mwangi James Kinyanjui in Open journal of forestry, vol 4 n° 10 (July 2014)PermalinkAn effective morphological index in automatic recognition of built-up area suitable for high spatial resolution images as ALOS and SPOT data / Bo Yu in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 6 (June 2014)PermalinkMonitoring coastal morphological changes using remote sensing and GIS in the Red river delta area, Vietnam / Si Son Tong in Photo interprétation, European journal of applied remote sensing, vol 50 n° 2 (juin 2014)PermalinkMultiple-entity based classification of airborne laser scanning data in urban areas / S. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 88 (February 2014)PermalinkStudy on the polarimetric characteristics of the Lop Nur arid area using PolSAR data / Zhihong Gao in Journal of applied remote sensing, vol 8 (2014)PermalinkAn innovative support vector machine based method for contextual image classification / Rogério Galante Negri in ISPRS Journal of photogrammetry and remote sensing, vol 87 (January 2014)PermalinkRetrieval of tropical forest biomass information from ALOS PALSAR data / Mahmudur Rahman in Geocarto international, vol 28 n° 5-6 (August - October 2013)PermalinkContribution des données ALOS et Landsat dans la cartographie et l'analyse des linéaments dans le Sahel central (Maroc occidental) / Adnane Habib in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)PermalinkInSAR-derived coseismic deformation of the 2010 Southeastern Iran earthquake (M6.5) and its relationship with the tectonic background in the South of Lut Block / Tomokazu Kobayashi in Bulletin of the GeoSpatial Information authority of Japan, vol 60 (March 2013)PermalinkDual-Polarimetric signatures of vegetation – a case study Biebrza / Dariusz Ziolkowski in Geoinformation issues, vol 5 n° 1 (2013)PermalinkAn underground-mining detection system based on DInSAR / Z. Hu in IEEE Transactions on geoscience and remote sensing, vol 51 n° 1 Tome 2 (January 2013)PermalinkEvaluation de l'apport de la télédétection radar pour la cartographie des végétations dans le Parc du Pilat / Cécile Cazals (2013)PermalinkApports des données ALOS PALSAR polarimétriques à la détection des zones humides littorales (Sassandra, Côte d'Ivoire) / Kouakou Hervé Kouassi in Photo interprétation, European journal of applied remote sensing, vol 48 n° 4 (décembre 2012)Permalink3D coseismic displacement of 2010 Darfield, New Zealand earthquake estimated from multi-aperture InSAR and D-InSAR measurements / J. Hu in Journal of geodesy, vol 86 n° 11 (November 2012)PermalinkExtraction de MNT à partir de paires ou triplets PRISM / Valerio Baiocchi in Géomatique expert, n° 89 (01/11/2012)PermalinkMapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery / J. Dong in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)PermalinkMonitoring ground subsidence in Shanghai maglev area using two kinds of SAR data / J. Wu in Journal of applied geodesy, vol 6 n° 3-4 (November 2012)PermalinkDetecting depolarized targets using a new geometrical perturbation filter / Armando Marino in IEEE Transactions on geoscience and remote sensing, vol 50 n° 10 Tome 1 (October 2012)PermalinkQuantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data / M. Rahman in Geocarto international, vol 27 n° 6 (October 2012)PermalinkA comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region / Dong Lu ; E. Moran ; et al. in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)PermalinkIonospheric artifacts in simultaneous L-band InSAR and GPS observations / J. Chen in IEEE Transactions on geoscience and remote sensing, vol 50 n° 4 (April 2012)PermalinkPotential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation / M. Sarker in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)PermalinkCharacterization of forests and deforestation in Cambodia using ALOS/PALSAR observation / R. Avtar in Geocarto international, vol 27 n° 2 (March 2012)PermalinkRelative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes / Q. Xu in ISPRS Journal of photogrammetry and remote sensing, vol 68 (March 2012)PermalinkJoint processing of Landsat and ALOS-PALSAR data for forest mapping and monitoring / E. Lehmann in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)PermalinkLong-term consecutive DInSAR for volume change estimation of land deformation / S. Sumantyo in IEEE Transactions on geoscience and remote sensing, vol 50 n° 1 (January 2012)PermalinkThe crustal deformation and fault model of the 2011 off the Pacific coast of Tohoku earthquake / T. Imakiire in Bulletin of the GeoSpatial Information authority of Japan, vol 59 (December 2011)PermalinkElectromagnetic land surface classification through integration of optical and radar remote sensing data / J. Baek in IEEE Transactions on geoscience and remote sensing, vol 49 n° 4 (April 2011)PermalinkOrthorectification of VHR optical satellite data exploiting the geometric accuracy of TerraSAR-X data / Peter Reinartz in ISPRS Journal of photogrammetry and remote sensing, vol 66 n° 1 (January - February 2011)PermalinkPrecise georeferencing of long strips of ALOS imagery / Clive Simpson Fraser in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 1 (January 2011)Permalink