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Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates / Yasushi Yamaguchi in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3523 - 3534 Titre : Detection of a landslide movement as geometric misregistration in image matching of SPOT HRV data of two different dates Type de document : Article/Communication Auteurs : Yasushi Yamaguchi, Auteur ; S. Tanaka, Auteur ; T. Odajima, Auteur ; T. Kamai, Auteur ; S. Tsuchida, Auteur Année de publication : 2003 Article en page(s) : pp 3523 - 3534 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] analyse diachronique [Termes IGN] effondrement de terrain [Termes IGN] GPS en mode différentiel [Termes IGN] image multitemporelle [Termes IGN] image panchromatique [Termes IGN] image SPOT-HRV [Termes IGN] Japon [Termes IGN] mouvement de terrain [Termes IGN] positionnement par GPS Résumé : (Auteur) A landslide movement was detected as geometric misregistration in image matching between two SPOT HRV panchromatic image data of different acquisition dates. The test site is an active landslide in Itaya area, Yamagata Prefecture, northern Japan. The average rate of the landslide movement is approximately 1 cm per day based upon differential GPS measurements. Pixel level and subpixel level image matching was applied to an HRV image pair obtained on I November 1987 and 29 October 1993. As a result, the landslide movement was successfully detected as misregistration vectors between the two HRV scenes. The displacement is approximately 20m to 30m over the 6-year period between 1987 and 1993 and is consistent with the landslide movement inferred from the GPS measurements. Numéro de notice : A2003-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160110111063 En ligne : https://doi.org/10.1080/01431160110111063 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22556 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic / Y. Zhou in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3547 - 3563 Titre : Integrating interferometric SAR data with levelling measurements of land subsidence using geostatistic Type de document : Article/Communication Auteurs : Y. Zhou, Auteur ; Alfred Stein, Auteur ; Martien Molenaar, Auteur Année de publication : 2003 Article en page(s) : pp 3547 - 3563 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] bruit blanc [Termes IGN] Chine [Termes IGN] déformation de la croute terrestre [Termes IGN] données de terrain [Termes IGN] eau souterraine [Termes IGN] erreur [Termes IGN] erreur moyenne quadratique [Termes IGN] extraction du sursol [Termes IGN] géostatistique [Termes IGN] image radar moirée [Termes IGN] intégration de données [Termes IGN] interferométrie différentielle [Termes IGN] interféromètrie par radar à antenne synthétique [Termes IGN] krigeage [Termes IGN] nivellement [Termes IGN] précision centimétrique [Termes IGN] subsidence [Termes IGN] variogramme Résumé : (Auteur) Differential Synthetic Aperture Radar (SAR) interferometric (D-InSAR) data of ground surface deformation are affected by several error sources associated with image acquisitions and data processing. In this paper, we study the use of D-InSAR for quantifying land subsidence due to groundwater extraction. We model the data as the sum of a trend, a zeromean stochastic process and white noise. A geostatistical approach combines D-InSAR subsidence data with in situ levelling measurements. The objective of this paper is to correct the errors contained in the D-InSAR measurements by using measurements as the ground data to improve their accuracy. Discrepancies between the true subsidence values and original D-InSAR measurements are analysed at levelling points using variograms and predicted at unvisited points using kriging. The integrated measurements are obtained by subtracting the predicted errors from the original D-InSAR measurements. The proposed method is applied to data collected in the Tianjin (China) area where land subsidence occurs due to groundwater extraction. Results demonstrate the capability of the D-InSAR technique for detecting subsidence at the centimetre level, and of using a limited number of levelling points to improve the accuracy of D-InSAR deformation measurements provided the coherence of images used is high enough. Discrepancies between the true subsidence values and D-InSAR measurements are quantified using the root mean square error (RMSE). RMSE for the original data was equal to 2.8, and 0.8 for the integrated data, whereas the mean error was equal to 2.1 and 0.0, respectively. Numéro de notice : A2003-262 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000023880 En ligne : https://doi.org/10.1080/0143116021000023880 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22557 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images / Hans-Jürgen Stibig in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3651 - 3662 Titre : Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images Type de document : Article/Communication Auteurs : Hans-Jürgen Stibig, Auteur ; R. Beuchle, Auteur ; Frédéric Achard, Auteur Année de publication : 2003 Article en page(s) : pp 3651 - 3662 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] Asie du sud-est [Termes IGN] carte de la végétation [Termes IGN] classification automatique [Termes IGN] forêt tropicale [Termes IGN] image Landsat-TM [Termes IGN] image SPOT-Végétation [Termes IGN] occupation du sol [Termes IGN] onde électromagnétique [Termes IGN] rayonnement proche infrarouge Résumé : (Auteur) The objective of this study was to refine the methodology for a regional assessment of tropical forest cover in insular Southeast Asia from coarse resolution satellite images. SPOT4-Vegetafion 10-day composites from 1998 to 2000 were used for the generation of a cloud free sub-regional mosaic image. Pixel selection was based on minimum values in the short-wave (monthly composites) and near-infrared spectral bands (annual composites), providing a maximum discrimination between forest and non-forest. A forest cover map was derived from digital classification of the dataset. The classification result was validated by comparison with the interpretation of 19 Landsat Thematic Mapper (TM) reference sites distributed over the sub-region. Forest area estimates were derived from the map and compared to Forest Resources Assessment 2000 data compiled by the Food and Agricultural Organization (FAO) of the United Nations. Results show that the new coarse resolution satellite sensor can provide sufficient information for mapping of tropical forest cover at the regional and sub-regional level. Numéro de notice : A2003-263 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000024113 En ligne : https://doi.org/10.1080/0143116021000024113 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22558 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Airborne forest fire mapping with an adaptive infrared sensor / D. Oertel in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3663 - 3682 Titre : Airborne forest fire mapping with an adaptive infrared sensor Type de document : Article/Communication Auteurs : D. Oertel, Auteur ; J.G. Goldammer, Auteur ; H. Brueggemann, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 3663 - 3682 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Allemagne [Termes IGN] analyse spectrale [Termes IGN] atmosphère terrestre [Termes IGN] capteur aérien [Termes IGN] écosystème [Termes IGN] image multibande [Termes IGN] image thermique [Termes IGN] incendie de forêt [Termes IGN] perturbation [Termes IGN] prise de vue aérienne [Termes IGN] température de l'air Résumé : (Auteur) The international scientific community has called for more detailed data on vegetation fires to improve the understanding of their role in global atmospheric chemistry, and on fire itself as an ecosystem disturbance. The fire science community highlighted the value of information such as fire spatial distribution, timing, extent, energy release, burning efficiency and emissions. In order to obtain reliable information on these parameters, a combination of operational and experimental spaceborne sensors with in situ and airborne sensor measurements is required. A small satellite demonstrator mission on Bispectral InfraRed Detection (BIRD) was prepared by the Institute of Space Sensor Technology and Planetary Exploration of the German Aerospace Center (DLR). It was successfully launched on 22 October 2001 into a 570km sun-synchronous orbit. This paper presents new thermal mapping results obtained with the Advanced BIRD Airborne Simulator (ABAS) during a flight campaign over controlled forest fires in the open coal mining region of the Brandenburg country in Germany on 23 August 2001. These data have been successfully used to retrieve the effective area and effective temperature of forest fires by means of the application of the bispectral subpixel method. Numéro de notice : A2003-264 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000033267 En ligne : https://doi.org/10.1080/0143116021000033267 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22559 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible