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Total Vertical Uncertainty (TVU) modeling for topo-bathymetric LIDAR systems / Firat Eren in Photogrammetric Engineering & Remote Sensing, PERS, vol 85 n° 8 (August 2019)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 85 n° 8 (August 2019) . - pp 585 - 596 Titre : Total Vertical Uncertainty (TVU) modeling for topo-bathymetric LIDAR systems Type de document : Article/Communication Auteurs : Firat Eren, Auteur ; Jaehoon Jung, Auteur ; Christopher E. Parrish, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 585 - 596 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes descripteurs IGN] Floride (Etats-Unis) [Termes descripteurs IGN] incertitude géométrique [Termes descripteurs IGN] lidar bathymétrique [Termes descripteurs IGN] méthode de Monte-Carlo [Termes descripteurs IGN] modèle d'incertitude [Termes descripteurs IGN] modèle numérique bathymétrique [Termes descripteurs IGN] modèle numérique de surface [Termes descripteurs IGN] propagation d'incertitude [Termes descripteurs IGN] semis de points [Termes descripteurs IGN] surface de l'eau Résumé : (Auteur) This paper presents a comprehensive total vertical uncertainty (TVU) model for topo-bathymetric Light Detection and Ranging (LIDAR) systems. The TVU model consists of a combination of analytical uncertainty propagation for the subaerial (above water) portion and Monte Carlo simulation models for the subaqueous portion (water surface to seafloor). The TVU model was tested on a topo-bathymetric LIDAR data set collected by National Oceanic and Atmospheric Administration's National Geodetic Survey (NGS) in Southwest Florida, U.S., in May 2016 using a Riegl VQ-880-G topo-bathymetric LIDARsystem. The TVU values were compared against the empirical standard deviation and were found to capture the variability of uncertainty with depth while providing (slightly) conservative estimates of uncertainty. The results may be used to inform data acquisition protocols and data processing models. The model implementation is now beginning to be used operationally at NGS for topo-bathymetric LIDAR projects. Numéro de notice : A2019-414 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.85.8.585 date de publication en ligne : 01/08/2019 En ligne : https://doi.org/10.14358/PERS.85.8.585 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=93541 [article]

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Disaggregation of remotely sensed soil moisture in heterogeneous landscapes using holistic structure-based models / Subit Chakrabarti in IEEE Transactions on geoscience and remote sensing, vol 54 n° 8 (August 2016)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 54 n° 8 (August 2016) . - pp 4629 - 4641 Titre : Disaggregation of remotely sensed soil moisture in heterogeneous landscapes using holistic structure-based models Type de document : Article/Communication Auteurs : Subit Chakrabarti, Auteur ; Jasmeet Judge, Auteur ; Tara Bongiovanni, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 4629 - 4641 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] algorithme d'apprentissage [Termes descripteurs IGN] cultures [Termes descripteurs IGN] désagrégation [Termes descripteurs IGN] Floride (Etats-Unis) [Termes descripteurs IGN] humidité du sol [Termes descripteurs IGN] modèle de régression Résumé : (Auteur) In this paper, a novel machine learning algorithm is presented for disaggregation of satellite soil moisture (SM) based on self-regularized regressive models (SRRMs) using high-resolution correlated information from auxiliary sources. It includes regularized clustering that assigns soft memberships to each pixel at a fine scale followed by a kernel regression that computes the value of the desired variable at all pixels. Coarse-scale remotely sensed SM was disaggregated from 10 to 1 km using land cover (LC), precipitation, land surface temperature, leaf area index, and in situ observations of SM. This algorithm was evaluated using multiscale synthetic observations in NC Florida for heterogeneous agricultural LCs. It was found that the rmse for 96% of the pixels was less than 0.02 m 3/m3. The clusters generated represented the data well and reduced the rmse by up to 40% during periods of high heterogeneity in LC and meteorological conditions. The Kullback-Leibler divergence (KLD) between the true SM and the disaggregated estimates is close to zero, for both vegetated and bare-soil LCs. The disaggregated estimates were compared with those generated by the principle of relevant information (PRI) method. The rmse for the PRI disaggregated estimates is higher than the rmse for the SRRM on each day of the season. The KLD of the disaggregated estimates generated by the SRRM is at least four orders of magnitude lower than those for the PRI disaggregated estimates, whereas the computational time needed was reduced by three times. The results indicate that the SRRM can be used for disaggregating SM with complex nonlinear correlations on a grid with high accuracy. Numéro de notice : A2016-888 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1109/TGRS.2016.2547389 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83068 [article]

Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades / Caiyun Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 8 (August 2014)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 8 (August 2014) . - pp. 733 - 743 Titre : Combining hyperspectral and Lidar data for vegetation mapping in the Florida Everglades Type de document : Article/Communication Auteurs : Caiyun Zhang, Auteur Année de publication : 2014 Article en page(s) : pp. 733 - 743 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] apprentissage automatique [Termes descripteurs IGN] cartographie thématique [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] Floride (Etats-Unis) [Termes descripteurs IGN] image hyperspectrale [Termes descripteurs IGN] marais [Termes descripteurs IGN] traitement d'image [Termes descripteurs IGN] végétation Résumé : (Auteur)This study explored a combination of hyperspectral and lidar systems for vegetation mapping in the Florida Everglades. A framework was designed to integrate two remotely sensed datasets and four data processing techniques. Lidar elevation and intensity features were extracted from the original point cloud data to avoid the errors and uncertainties in the raster-based lidar methods. Lidar significantly increased the classification accuracy compared with the application of hyperspectral data alone. Three lidar-derived features (elevation, intensity, and topography) had the same contributions in the classification. A synergy of hyperspectral imagery with all lidar-derived features achieved the best result with an overall accuracy of 86 percent and a Kappa value of 0.82 based on an ensemble analysis of three machine learning classifiers. Ensemble analysis did not significantly increase the classification accuracy, but it provided a complementary uncertainty map for the final classified map. The study shows the promise of the synergy of hyperspectral and lidar systems for mapping complex wetlands. Numéro de notice : A2014-344 Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.8.733 En ligne : https://doi.org/10.14358/PERS.80.8.733 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73717 [article]

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Mapping and assessing of urban impervious areas using multiple endmember spectral mixture analysis: a case study in the city of Tampa, Florida / Fenqing Weng in Geocarto international, vol 28 n° 7-8 (November - December 2013)  

Public [article]  inGeocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 594 - 615 Titre : Mapping and assessing of urban impervious areas using multiple endmember spectral mixture analysis: a case study in the city of Tampa, Florida Type de document : Article/Communication Auteurs : Fenqing Weng, Auteur ; Ruiliang Pu, Auteur Année de publication : 2013 Article en page(s) : pp 594 - 615 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] analyse comparative [Termes descripteurs IGN] analyse des mélanges spectraux [Termes descripteurs IGN] carte d'occupation du sol [Termes descripteurs IGN] Floride (Etats-Unis) [Termes descripteurs IGN] image à moyenne résolution [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] multiple endmember spectral mixture analysis [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] surface imperméable [Termes descripteurs IGN] zone urbaine Résumé : (Auteur) The advance in remote sensing technology makes people easily assess urban growth. In this study, a multiple endmember spectral mixture analysis (MESMA) was examined in a sub-pixel analysis of Landsat Thematic Mapper (TM) imagery to map three physical components of urban land cover (LC): impervious surface, vegetation and soil, and compared with a traditional spectral mixture analysis (SMA) in mapping the physical components. A comparative analysis of the impervious surface areas (ISA) mapped with MESMA and SMA indicates that MESMA produced more accurately results of mapping urban physical components than those by SMA. With the multiyear Landsat TM data, we quantified sub-pixel percentage of ISA and the percentage of ISA changes to assess urban growth in Tampa, FL during the past 20 years. The experimental results demonstrate that MESMA approach is effective in mapping and monitoring urban land use/LC changes using moderate-resolution multispectral imagery at a sub-pixel level. Numéro de notice : A2013-698 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.764355 date de publication en ligne : 05/04/2013 En ligne : https://doi.org/10.1080/10106049.2013.764355 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32834 [article]

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Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region / G. Xian in Geocarto international, vol 27 n° 6 (October 2012)  

Public [article]  inGeocarto international > vol 27 n° 6 (October 2012) . - pp 479 - 497 Titre : Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region Type de document : Article/Communication Auteurs : G. Xian, Auteur ; Collin Homer, Auteur ; B. Bunde, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 479 - 497 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Alabama (Etats-Unis) [Termes descripteurs IGN] analyse diachronique [Termes descripteurs IGN] Floride (Etats-Unis) [Termes descripteurs IGN] Géorgie (Etats-Unis) [Termes descripteurs IGN] image Landsat [Termes descripteurs IGN] littoral [Termes descripteurs IGN] Louisiane (Etats-Unis) [Termes descripteurs IGN] Mexique (golfe du) [Termes descripteurs IGN] Mississippi (Etats-Unis) [Termes descripteurs IGN] occupation du sol [Termes descripteurs IGN] surface imperméable [Termes descripteurs IGN] Texas (Etats-Unis) [Termes descripteurs IGN] urbanisation Résumé : (Auteur) We estimated urbanization rates (2001-2006) in the Gulf of Mexico region using the National Land Cover Database (NLCD) 2001 and 2006 impervious surface products. An improved method was used to update the NLCD impervious surface product in 2006 and associated land cover transition between 2001 and 2006. Our estimation reveals that impervious surface increased 416 km2 with a growth rate of 5.8% between 2001 and 2006. Approximately 1110.1 km2 of non-urban lands were converted into urban land, resulting in a 3.2% increase in the region. Hay/pasture, woody wetland, and evergreen forest represented the three most common land cover classes that transitioned to urban. Among these land cover transitions, more than 50% of the urbanization occurred within 50 km of the coast. Our analysis shows that the close-to-coast land cover transition trend, especially within 10 km off the coast, potentially imposes substantial long-term impacts on regional landscape and ecological conditions. Numéro de notice : A2012-510 Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.652675 date de publication en ligne : 01/02/2012 En ligne : https://doi.org/10.1080/10106049.2011.652675 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31956 [article]

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A process oriented areal interpolation technique: a coastal county example / B. Kar in Cartography and Geographic Information Science, vol 39 n° 1 (January 2012)  

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Influence of street reference data on geocoding quality / P. Zandbergen in Geocarto international, vol 26 n° 1 (February 2011)  

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Using geographical information system to model the effects of green space accessibility on mortality in Florida / C. Coutts in Geocarto international, vol 25 n° 6 (October 2010)  

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Evaluation of Terrasar-X observations for wetland INSAR application / S.H. Hong in IEEE Transactions on geoscience and remote sensing, vol 48 n° 2 (February 2010)

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Hernando County, Florida, Develops Central GIS in ArcNews [en ligne], Vol 30 n° 2 (Summer 2008)  

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Keeping an eye on government services / Keith Mann in ArcUser, vol 11 n° 1 (October 2008)

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Geometric integration of aerial and high-resolution satellite imagery and application in shoreline mapping / R. Li in Marine geodesy, vol 31 n° 3 (September - November 2008)

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Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)

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Airborne laser swath mapping: quantifying changes in sandy beaches over time scales of weeks to years / Ramesh L. Shrestha in ISPRS Journal of photogrammetry and remote sensing, vol 59 n° 4 (June - July 2005)

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Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute / V.K. Boken in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)

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