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Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley / L. Zhong in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)
[article]
Titre : Phenology-based crop classification algorithm and its implications on agricultural water use assessments in California's central valley Type de document : Article/Communication Auteurs : L. Zhong, Auteur ; P. Gong, Auteur ; Gregory S. Biging, Auteur Année de publication : 2012 Article en page(s) : pp 799 - 813 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte agricole
[Termes IGN] classification par arbre de décision
[Termes IGN] cultures
[Termes IGN] Enhanced vegetation index
[Termes IGN] évapotranspiration
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] image Terra-MODIS
[Termes IGN] phénologie
[Termes IGN] segmentation d'imageRésumé : (Auteur) The overarching goal of this study was to map specific crop types in the Central Valley, California and estimate the effect of classification uncertainty on the calculation of crop evapotranspiration (ETc). A phenology-based classification (PBC) approach was developed to identify crop types based on phenological and spectral metrics derived from the time series of Landsat TM/ETM_ imagery. Phenological metrics, calculated by fitting asymmetric double sigmoid functions to temporal profiles of enhanced vegetation index (EVI), were capable of separating crop types with distinct crop calendars. An innovative method was used to compute spectral metrics to represent crops' spectral characteristics at certain phenological stages instead of any specific imaging date. Crop mapping using these metrics showed a stable performance without influences of low-quality data and inter-annual differences in imaging dates. The requirement for ground reference data by the PBC approach was low because classification algorithms were mostly built according to the knowledge on crop calendars and agricultural practices. Techniques including image segmentation, data fusion with MODIS imagery, and decision tree were incorporated to make the approach effective and efficient. Though moderate accuracy (~65.0 percent) was achieved, ETc calculated by the Food and Agriculture Organization (FAO) 56 method showed that the estimate of water use was not likely to be significantly affected by the classification error in PBC. All these advantages imply the strength of the PBC approach in the regular crop mapping of the Central Valley. Numéro de notice : A2012-428 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.8.799 En ligne : https://doi.org/10.14358/PERS.78.8.799 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31874
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 8 (August 2012) . - pp 799 - 813[article]Synthesizing urban remote sensing through application, scale, data and case studies / E.A. Wentz in Geocarto international, vol 27 n° 5 (August 2012)
[article]
Titre : Synthesizing urban remote sensing through application, scale, data and case studies Type de document : Article/Communication Auteurs : E.A. Wentz, Auteur ; D.A. Quattrochi, Auteur ; M. Netzband, Auteur ; S.W. Myint, Auteur Année de publication : 2012 Article en page(s) : pp 425 - 442 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Atlanta (Géorgie)
[Termes IGN] chaleur
[Termes IGN] classification barycentrique
[Termes IGN] classification ISODATA
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] image Quickbird
[Termes IGN] image Terra-ASTER
[Termes IGN] milieu urbain
[Termes IGN] Phoenix
[Termes IGN] villeRésumé : (Auteur) This article describes the outcomes of an international workshop on urban remote sensing. The workshop synthesized the needs of remote sensing scientists to better monitor and analyse urban physical and social dynamics. The workshop was held with urban land use forecasting workshop in April 2011 in Arizona. The four major themes of the jointly held workshops were application, data, scale and case studies. Application refers to how data are used to address urban problems. Data refers to the sources and types of raw data available. Scale is the ever-present concern over data reduction and resolution. Case studies examine a single urban area, typically based on one or two primary themes. One outcome was to integrate multiple case studies to form an urban typology. To respond to this need, this article integrates two case studies on the urban heat island in Atlanta, GA and Phoenix, AZ based on the four themes. Numéro de notice : A2012-372 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.687400 Date de publication en ligne : 24/05/2012 En ligne : https://doi.org/10.1080/10106049.2012.687400 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31818
in Geocarto international > vol 27 n° 5 (August 2012) . - pp 425 - 442[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012051 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points / Y. Shao in ISPRS Journal of photogrammetry and remote sensing, vol 70 (June 2012)
[article]
Titre : Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points Type de document : Article/Communication Auteurs : Y. Shao, Auteur ; R. Lunetta, Auteur Année de publication : 2012 Article en page(s) : pp 78 - 87 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] classification dirigée
[Termes IGN] classification et arbre de régression
[Termes IGN] classification par réseau neuronal
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] image Terra-MODIS
[Termes IGN] occupation du sol
[Termes IGN] Perceptron multicouche
[Termes IGN] série temporelleRésumé : (Auteur) Support vector machine (SVM) was applied for land-cover characterization using MODIS time-series data. Classification performance was examined with respect to training sample size, sample variability, and landscape homogeneity (purity). The results were compared to two conventional nonparametric image classification algorithms: multilayer perceptron neural networks (NN) and classification and regression trees (CART). For 2001 MODIS time-series data, SVM generated overall accuracies ranging from 77% to 80% for training sample sizes from 20 to 800 pixels per class, compared to 67–76% and 62–73% for NN and CART, respectively. These results indicated that SVM’s had superior generalization capability, particularly with respect to small training sample sizes. There was also less variability of SVM performance when classification trials were repeated using different training sets. Additionally, classification accuracies were directly related to sample homogeneity/heterogeneity. The overall accuracies for the SVM algorithm were 91% (Kappa = 0.77) and 64% (Kappa = 0.34) for homogeneous and heterogeneous pixels, respectively. The inclusion of heterogeneous pixels in the training sample did not increase overall accuracies. Also, the SVM performance was examined for the classification of multiple year MODIS time-series data at annual intervals. Finally, using only the SVM output values, a method was developed to directly classify pixel purity. Approximately 65% of pixels within the Albemarle–Pamlico Basin study area were labeled as “functionally homogeneous” with an overall classification accuracy of 91% (Kappa = 0.79). The results indicated a high potential for regional scale operational land-cover characterization applications. Numéro de notice : A2012-290 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.04.001 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.04.001 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31736
in ISPRS Journal of photogrammetry and remote sensing > vol 70 (June 2012) . - pp 78 - 87[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2012041 SL Revue Centre de documentation Revues en salle Disponible Earth Observation scientific workflows in a distributed computing environment / T. Van Zyl in Transactions in GIS, vol 16 n° 2 (April 2012)
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Titre : Earth Observation scientific workflows in a distributed computing environment Type de document : Article/Communication Auteurs : T. Van Zyl, Auteur ; A. Vahed, Auteur ; G. Mcferren, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 233 - 248 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] flux de travaux
[Termes IGN] image Terra-MODIS
[Termes IGN] PostGIS
[Termes IGN] PostgreSQL
[Termes IGN] Web Processing ServiceRésumé : (Auteur) Geospatially Enabled Scientific Workflows offer a promising toolset to help researchers in the earth observation domain with many aspects of the scientific process. One such aspect is that of access to distributed earth observation data and computing resources. Earth observation research often utilizes large datasets requiring extensive CPU and memory resources in their processing. These resource intensive processes can be chained; the sequence of processes (and their provenance) makes up a scientific workflow. Despite the exponential growth in capacity of desktop computers, their resources are often insufficient for the scientific workflow processing tasks at hand. By integrating distributed computing capabilities into a geospatially enabled scientific workflow environment, it is possible to provide researchers with a mechanism to overcome the limitations of the desktop computer. Most of the effort on extending scientific workflows with distributed computing capabilities has focused on the web services approach, as exemplified by the OGC's Web Processing Service and by GRID computing. The approach to leveraging distributed computing resources described in this article uses instead remote objects via RPyC and the dynamic properties of the Python programming language. The Vistrails environment has been extended to allow for geospatial processing through the EO4Vistrails package (http://code.google.com/p/eo4vistrails/). In order to allow these geospatial processes to be seamlessly executed on distributed resources such as cloud computing nodes, the Vistrails environment has been extended with both multi-tasking capabilities and distributed processing capabilities. The multi-tasking capabilities are required in order to allow Vistrails to run side-by-side processes, a capability it does not currently have. The distributed processing capabilities are achieved through the use of remote objects and mobile code through RPyC. Numéro de notice : A2012-162 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01317.x Date de publication en ligne : 13/04/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01317.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31609
in Transactions in GIS > vol 16 n° 2 (April 2012) . - pp 233 - 248[article]Carbon Stock of European Beech Forest : A Case at M. Pizzalto, Italy / Aida Taghavi Bayat in APCBEE Procedia, vol 1 (2-20)
[article]
Titre : Carbon Stock of European Beech Forest : A Case at M. Pizzalto, Italy Type de document : Article/Communication Auteurs : Aida Taghavi Bayat, Auteur ; Hein van Gils, Auteur ; Michael Weir, Auteur Année de publication : 2012 Article en page(s) : pp 159 - 168 Langues : Anglais (eng) Descripteur : [Termes IGN] analyse diachronique
[Termes IGN] biomasse aérienne
[Termes IGN] Enhanced vegetation index
[Termes IGN] Fagus (genre)
[Termes IGN] image Terra-MODIS
[Termes IGN] Italie
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] puits de carbone
[Termes IGN] régression linéaire
[Termes IGN] saison
[Termes IGN] teneur en carbone
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) In order to estimate carbon stock in above ground biomass (CS-AGB) of M. Pizzalto forest in the Central-Apennines in Italy, the moderate resolution imaging spectroradiometer (MODIS) vegetation index data (NDVI and EVI) were used in combination with field data. Biotic and abiotic parameters (slope angle, slope gradient, elevation, seasonal incoming solar radiation, length of growing season (LGS), soil type and forest management type) has been used in the modelling. NDVI and EVI values of field samples were extracted and used to estimate the LGS of beech forest for the six year period (2005-2010). Two management types, old-growth forest and young forest, showed average AGB and CS-AGB were 247 and 123 tons.ha-1 respectively in 2010 comparable to values for beech forests in the Apennines and Europe. LGS and management are the significant variables in a linear regression model for CS - AGB. Therefore, the forest authority can manage the young forest as sinks of carbon in agreement with the Kyoto protocol of the United Nations Framework Convention on Climate Change (UNFCCC). Numéro de notice : A2012-693 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.apcbee.2012.03.026 En ligne : https://doi.org/10.1016/j.apcbee.2012.03.026 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=74830
in APCBEE Procedia > vol 1 (2-20) . - pp 159 - 168[article]Seismic-zonation of Port-au-Prince using pixel- object-based imaging analysis methods on Aster GDEM / S. Yong in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 9 (September 2011)PermalinkThe application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)PermalinkSub-canopy soil moisture modeling in n-dimensional spectral feature space / A. Ghulam in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 2 (February 2011)PermalinkGIS integration dream: former raster nightmare / K. Jones in Geoinformatics, vol 14 n° 1 (01/01/2011)PermalinkPM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region / E. Emili in Remote sensing of environment, vol 114 n° 11 (15/11/2010)PermalinkAtmospheric correction to IRS-P6 AWiFS data and its validation with ground measurements: a study over the semi-arid region / Ashu Sharma in Geocarto international, vol 25 n° 7 (November 2010)PermalinkPositional accuracy analysis of satellite imagery by circular statistics / A. Cuartero in Photogrammetric Engineering & Remote Sensing, PERS, vol 76 n° 11 (November 2010)PermalinkEvaluation de teneurs en plomb dans les rejets des mines de Jalta et de Bougrine (Tunisie) en se basant sur données satellitaires (ASTER) / S. Gannouni in Photo interprétation, European journal of applied remote sensing, vol 46 n° 3-4 (septembre 2010)PermalinkMapping the North : the updated North Circumpolar Region map by the atlas of Canada / R.E. Kramers in Cartographica, vol 45 n° 3 (September 2010)PermalinkTélédétection et salinité. Cartographie de la salinité des sols de la plaine algérienne du Bas-Chéliff / A. Douaoui in Géomatique expert, n° 76 (01/09/2010)Permalink