Centre de documentation
scientifique

Dépouillements

Study of tectonics in relation to the seismic activity of the Davalt area, Nasik district, Maharashtra, India using remote sensing and GIS techniques / J. Sarup in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2371 - 2387 Titre : Study of tectonics in relation to the seismic activity of the Davalt area, Nasik district, Maharashtra, India using remote sensing and GIS techniques Type de document : Article/Communication Auteurs : J. Sarup, Auteur ; M. Muthukumaran, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 2371 - 2387 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] classification dirigée [Termes IGN] géologie locale [Termes IGN] géomorphologie locale [Termes IGN] image IRS [Termes IGN] image multitemporelle [Termes IGN] Inde [Termes IGN] séisme [Termes IGN] système d'information géographique [Termes IGN] tectonique Résumé : (Auteur) Well-documented geological data (from both field and satellite) in the Deccan Volcanic Provinces (DVP) in and around the Dalvat region, Nasik District, India has been analysed by Geographic Information System (GIS) techniques and reported in this paper so as to relate the geology and structures with recent seismicity. It has been the belief among earth scientists that the Deccan Traps in Maharashtra, India is tectonically stable as the region attained solidity long ago. However, recent activity in the study area altered this concept and it is now accepted that seismic activity is still continuing on a mild scale. As such, the need has arisen to take into consideration historical as well as recent geological data to study in detail the tectonic setup in the Deccan Traps. Using the well-known relationship between the shear zone, lineaments, and geomorphology, and incorporating these with tectonic events, an attempt has been made to explore the geology and structures in and around the Dalvat region. Field observations and signatures on remote sensing data show that there is evidence of fault traces in the form of shear zones and slickensides in the Deccan Traps near the Kosurde, Dhanoli, Chikhli, and Manchandar villages of the Nasik District. The study has further been incorporated with seismic density data. Magnitudes of 3.9 were recorded as the maximum micro-epicentres, and they fell on the shear fractures detected in the area of study. In order to identify seismically vulnerable areas, seismic hazard zonation (SHZ) mapping has been carried out. Different data layers, including structural, lithological, geomorphological, drainage, and soil have been visually interpreted, scanned, and rectified. A rose diagram of the lineaments shows trends in the NNE–SSW to NS falling on major seismic zones of the study area, showing weaker zones beneath the surface. Raster images were digitized for conversion to a vector coverage using ERDAS 8.6. and ArcGIS 8.3. The ordinal scale (qualitative) relative weighting rating technique was used to give a seismic hazard index (SHI) value to delineate various seismic hazard zones; namely very low, low, moderate, high, and very high. Copyright Taylor & Francis Numéro de notice : A2006-306 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500497846 En ligne : https://doi.org/10.1080/01431160500497846 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28030 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A new method to determine near surface air temperature from satellite observations / Ranjit Singh in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2831 - 2846 Titre : A new method to determine near surface air temperature from satellite observations Type de document : Article/Communication Auteurs : Ranjit Singh, Auteur ; C.M. Kishtawal, Auteur Année de publication : 2006 Article en page(s) : pp 2831 - 2846 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] algorithme génétique [Termes IGN] image DMSP-SSM/I [Termes IGN] image NOAA-AVHRR [Termes IGN] température au sol [Termes IGN] température de surface de la mer [Termes IGN] température en altitude [Termes IGN] vapeur d'eau Résumé : (Auteur) We present a new method to determine the near surface air temperature (Ta) from satellite observations. The satellite observed parameters of total precipitable water (W), atmospheric boundary layer (~500 m) water vapour (Wb), and sea surface temperature (SST) are used to derive Ta. A genetic algorithm (GA) is used to find the optimum relation between the input (W, Wb, SST) and output (Ta) parameters. The input data consist of 6 years (1988–1993) of insTanTaneous as well as monthly averages of W, Wb from the Special Sensor Microwave Imager (SSM/I), and SST data from the Advanced Very High Resolution Radiometer (AVHRR). Ta observations based on Comprehensive Ocean Atmospheric Data Set (COADS) are used to develop and evaluate the new methodology. The global mean root mean square (rms) error for instantaneous Ta estimates is 1.4°C and for monthly averages it decreases to 0.74°C. Slightly higher discrepancies between Ta derived from the new method and in situ data are found over the western boundary currents (such as the Kuroshio and Gulf Stream) during wintertime. These regions are characterized by continental cold air outbreak and seasonal current systems, particularly during wintertime. During these conditions weak coupling between SST and Ta may be one of the reasons for large error over these regions. Our method improves upon the air temperature estimates of earlier studies. Copyright Taylor & Francis Numéro de notice : A2006-307 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500195234 En ligne : https://doi.org/10.1080/01431160500195234 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28031 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Cloud base heights retrieved during night-time conditions with MODIS data / K. Hutchinson in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2847 - 2862 Titre : Cloud base heights retrieved during night-time conditions with MODIS data Type de document : Article/Communication Auteurs : K. Hutchinson, Auteur ; E. Wong, Auteur ; S.C. Ou, Auteur Année de publication : 2006 Article en page(s) : pp 2847 - 2862 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] altitude [Termes IGN] image NPP-VIIRS [Termes IGN] image Terra-MODIS [Termes IGN] nébulosité [Termes IGN] nuage Résumé : (Auteur) The capability to retrieve cloud base heights was developed under the US National Polar-orbiting Operational Environmental Satellite System (NPOESS) programme as one of 27 data products to be created from data collected by the Visible Infrared Imager Radiometer Suite (VIIRS). First launch of the VIIRS sensor, which is the high-resolution Earth imager of the NPOESS programme, comes on National Aeronautics & Space Administration's (NASA) NPOESS Preparatory Project (NPP). In preparation for this launch, extensive testing of the VIIRS cloud algorithms was completed to verify that product performance will satisfy system requirements before the cloud algorithms were hosted in the NPOESS ground processing centre. The approach taken to retrieve cloud base height converts cloud optical properties into a geometric thickness which is then subtracted from the cloud top height. Performance of the cloud base height algorithms has been verified recently using MODIS data, together with temporarily and spatial coincident observations of cloud thickness values made with the millimetre cloud radar operated at the US Department of Energy Atmospheric Radiation Measurement (ARM) Program Southern Great Plains site in Oklahoma. Of particular significance is the clear demonstration that both cloud optical properties and cloud base heights are retrieved accurately during night-time conditions with the VIIRS algorithms, since neither of these products is currently produced by the NASA EOS programme. Based upon these analyses, the VIIRS cloud algorithms are expected to satisfy NPOESS requirements, making VIIRS the first operational satellite sensor capable of retrieving three-dimensional cloud fields. Copyright Taylor & Francis Numéro de notice : A2006-308 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500296800 En ligne : https://doi.org/10.1080/01431160500296800 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28032 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Some issues in the classification of DAIS hyperspectral data / M. Pal in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2895 - 2916 Titre : Some issues in the classification of DAIS hyperspectral data Type de document : Article/Communication Auteurs : M. Pal, Auteur ; Paul M. Mather, Auteur Année de publication : 2006 Article en page(s) : pp 2895 - 2916 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classificateur paramétrique [Termes IGN] classification dirigée [Termes IGN] classification par arbre de décision [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par réseau neuronal [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] Espagne [Termes IGN] image DAIS [Termes IGN] image hyperspectrale [Termes IGN] précision de la classification [Termes IGN] qualité du processus [Termes IGN] transformation orthogonale Résumé : (Auteur) Classification accuracy depends on a number of factors, of which the nature of the training samples, the number of bands used, the number of classes to be identified relative to the spatial resolution of the image and the properties of the classifier are the most important. This paper evaluates the effects of these factors on classification accuracy using a test area in La Mancha, Spain. High spectral and spatial resolution DAIS data were used to compare the performance of four classification procedures (maximum likelihood, neural network, support vector machines and decision tree). There was no evidence to support the view that classification accuracy inevitably declines as the data dimensionality increases. The support vector machine classifier performed well with all test data sets. The use of the orthogonal MNF transform resulted in a decline in classification accuracy. However, the decision-tree approach to feature selection worked well. Small increases in classifier accuracy may be obtained using more sophisticated techniques, but it is suggested here that greater attention should be given to the collection of training and test data that represent the range of land surface variability at the spatial scale of the image. Copyright Taylor & Francis Numéro de notice : A2006-309 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500185227 En ligne : https://doi.org/10.1080/01431160500185227 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28033 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Incorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach / A.E. Daniels in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2949 - 2975 Titre : Incorporating domain knowledge and spatial relationships into land cover classifications: a rule-based approach Type de document : Article/Communication Auteurs : A.E. Daniels, Auteur Année de publication : 2006 Article en page(s) : pp 2949 - 2975 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] carte d'occupation du sol [Termes IGN] classe d'objets [Termes IGN] classification à base de connaissances [Termes IGN] classification par maximum de vraisemblance [Termes IGN] données auxiliaires [Termes IGN] feuillu [Termes IGN] forêt tropicale [Termes IGN] interprétation automatique [Termes IGN] occupation du sol [Termes IGN] précision de la classification Résumé : (Auteur) For some tropical regions, remote sensing of land cover yields unacceptable results, particularly as the number of land cover classes increases. This research explores the utility of incorporating domain knowledge and multiple algorithms into land cover classifications via a rule-based algorithm for a series of satellite images. The proposed technique integrates the fundamental, knowledge-based interpretation elements of remote sensing without sacrificing the ease and consistency of automated, algorithm-based processing. Compared with results from a traditional maximum likelihood algorithm, classification accuracy was improved substantially for each of the six land cover classes and all three years in the image series. Use of domain knowledge proved effective in accurately classifying problematic tropical land covers, such as tropical deciduous forest and seasonal wetlands. Results also suggest that ancillary data may be most useful in the classification of historic images, where the greatest improvement was observed relative to results from maximum likelihood. The cost of incorporating contextual knowledge and extensive spatial data sets may be justified, since results from the proposed technique suggest a considerable improvement in accuracy may be achieved. Copyright Taylor & Francis Numéro de notice : A2006-310 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600567753 En ligne : https://doi.org/10.1080/01431160600567753 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28034 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A technique for generating natural colour images from false colour composite images / S.K. Patra in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°12-13-14 (July 2006) . - pp 2977 - 2989 Titre : A technique for generating natural colour images from false colour composite images Type de document : Article/Communication Auteurs : S.K. Patra, Auteur ; M. Shekher, Auteur ; et al., Auteur Année de publication : 2006 Article en page(s) : pp 2977 - 2989 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] bande spectrale [Termes IGN] couleur (variable spectrale) [Termes IGN] couleur à l'écran [Termes IGN] image en couleur composée [Termes IGN] point d'appui [Termes IGN] superposition d'images Résumé : (Auteur) Colour is widely used in remote sensing work. In many instances, the use of colour conveys additional information both visually and scientifically. Remote sensing satellites view the earth in different spectral bands, viz. near infrared (NIR), red, green, and blue bands, in a conventional multispectral imaging system. In the absence of a blue channel, colour images can be generated using near infrared, red, and green bands in what is known as a false colour composite (FCC) and does not look natural, like the image we see with the naked eye. For a trained interpreter, this does not pose any problems. However, when the intended use is a fly-through of a draped terrain, visual interpretation, or a display, meant for the non-remote sensing professional, this becomes a handicap. To overcome this, there is a requirement to generate natural colour composites (NCC) from the given false colour composite, which demands the simulation of a blue band to be combined with green and red bands. This paper describes a unique method of generating a blue band to form natural colour images from a given false colour image set. We use a spectral transformation method to establish a relationship between the false colour and true colour image pairs provided by a sensor with all the four bands, which has a broader spectral coverage. A transformation function is fitted by selecting radiometric control points along the line of geometric registration to find a set of coefficients to be used for simulating a blue band. This blue band, along with the green and red bands, provides a near true colour or ‘natural colour’ on the display. In this paper, we present a set of adjustable radiometric transformation coefficients to accommodate variation in spatial and dynamic range offered by sensors to generate natural colour. These coefficients seem to work on a large number of images of different seasons, provided similar spectral bands and terrain are used. The proposed ‘natural colour generator’ can be used in changing false colour images to natural colour images with the aim of ‘what you get is what you would have seen’. Copyright Taylor & Francis Numéro de notice : A2006-311 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600554322 En ligne : https://doi.org/10.1080/01431160600554322 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28035 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-06071	RAB	Revue	Centre de documentation	En réserve L003	Disponible