Descripteur
Termes IGN > 1- Descripteurs géographiques > monde (géographie politique) > Amérique (géographie politique) > Etats-Unis > Kansas (Etats-Unis ; état)
Kansas (Etats-Unis ; état) |
Documents disponibles dans cette catégorie (12)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Spectral reflectance estimation of UAS multispectral imagery using satellite cross-calibration method / Saket Gowravaram in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 10 (October 2021)
[article]
Titre : Spectral reflectance estimation of UAS multispectral imagery using satellite cross-calibration method Type de document : Article/Communication Auteurs : Saket Gowravaram, Auteur ; Haiyang Chao, Auteur ; Andrew Molthan, Auteur ; et al., Auteur Année de publication : 2021 Article en page(s) : pp 735 - 746 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] aéronef
[Termes IGN] distribution du coefficient de réflexion bidirectionnelle BRDF
[Termes IGN] étalonnage croisé
[Termes IGN] forêt
[Termes IGN] image captée par drone
[Termes IGN] image Landsat-8
[Termes IGN] image multibande
[Termes IGN] image proche infrarouge
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] orthoimage
[Termes IGN] orthorectification
[Termes IGN] prairie
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectraleRésumé : (Auteur) This paper introduces a satellite-based cross-calibration (SCC) method for spectral reflectance estimation of unmanned aircraft system (UAS) multispectral imagery. The SCC method provides a low-cost and feasible solution to convert high-resolution UAS images in digital numbers (DN) to reflectance when satellite data is available. The proposed method is evaluated using a multispectral data set, including orthorectified KHawk UAS DN imagery and Landsat 8 Operational Land Imager Level-2 surface reflectance (SR) data over a forest/grassland area. The estimated UAS reflectance images are compared with the National Ecological Observatory Network's imaging spectrometer (NIS) SR data for validation. The UAS reflectance showed high similarities with the NIS data for the near-infrared and red bands with Pearson's r values being 97 and 95.74, and root-mean-square errors being 0.0239 and 0.0096 over a 32-subplot hayfield. Numéro de notice : A2021-676 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.14358/PERS.20-00091R2 En ligne : https://doi.org/10.14358/PERS.20-00091R2 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98863
in Photogrammetric Engineering & Remote Sensing, PERS > vol 87 n° 10 (October 2021) . - pp 735 - 746[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 105-2021101 SL Revue Centre de documentation Revues en salle Disponible Understanding the geodetic signature of large aquifer systems: Example of the Ozark Plateaus in Central United States / Stacy Larochelle (2021)
Titre : Understanding the geodetic signature of large aquifer systems: Example of the Ozark Plateaus in Central United States Type de document : Article/Communication Auteurs : Stacy Larochelle, Auteur ; Kristel Chanard , Auteur ; Luce Fleitout, Auteur ; Jérôme Nicolas Fortin, Auteur ; Adriano Gualandi, Auteur ; Laurent Longuevergne, Auteur ; Paul Rebischung , Auteur ; Sophie Violette, Auteur ; Jean-Philippe Avouac, Auteur Editeur : Washington DC [Etats-Unis] : Earth and Space Science Open Archive ESSOAr Année de publication : 2021 Projets : 1-Pas de projet / Importance : 29 p. Note générale : bibliographie
soumis au Journal of Geophysical Research - Solid EarthLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] aquifère
[Termes IGN] Arkansas (Etats-Unis)
[Termes IGN] déformation de la croute terrestre
[Termes IGN] élasticité
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] masse d'eau
[Termes IGN] Missouri (Etats-Unis)
[Termes IGN] Oklahoma (Etats-Unis)
[Termes IGN] série temporelle
[Termes IGN] surcharge hydrologiqueRésumé : (auteur) The continuous redistribution of water mass involved in the hydrologic cycle leads to deformation of the solid Earth. On a global scale, this deformation is well explained by redistribution in surface loading and can be quantified to first order with space-based gravimetric and geodetic measurements. At the regional scale, however, aquifer systems also undergo poroelastic deformation in response to groundwater fluctuations. Disentangling these related but distinct 3D deformation fields from geodetic time series is essential to accurately invert for changes in continental water mass, to understand the mechanical response of aquifers to internal pressure changes as well as to correct time series for these known effects. Here, we demonstrate a methodology to accomplish this task by considering the example of the well-instrumented Ozark Plateaus Aquifer System (OPAS) in central United States. We begin by characterizing the most important sources of signal in the spatially heterogeneous groundwater level dataset using an Independent Component Analysis. Then, to estimate the associated poroelastic displacements, we project geodetic time series corrected for surface loading effects onto orthogonalized versions of the groundwater temporal functions. We interpret the extracted displacements in light of analytical solutions and a 2D model relating groundwater level variations to surface displacements. In particular, the relatively low estimates of elastic moduli inferred from the poroelastic displacements and groundwater fluctuations may be indicative of surficial layers with a high fracture density. Our findings suggest that OPAS undergoes significant poroelastic deformation, including highly heterogeneous horizontal poroelastic displacements. Numéro de notice : P2021-006 Affiliation des auteurs : UMR IPGP-Géod+Ext (2020- ) Thématique : POSITIONNEMENT Nature : Preprint nature-HAL : Préprint DOI : 10.1002/essoar.10507870.1 Date de publication en ligne : 02/09/2021 En ligne : https://doi.org/10.1002/essoar.10507870.1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98994 Land cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)
[article]
Titre : Land cover characterization for hydrological modelling using thermal infrared emissivities Type de document : Article/Communication Auteurs : A. French, Auteur ; A. Inamdar, Auteur Année de publication : 2010 Article en page(s) : pp 3867 - 3883 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] caractérisation
[Termes IGN] couvert végétal
[Termes IGN] emissivité
[Termes IGN] évapotranspiration
[Termes IGN] image infrarouge
[Termes IGN] image Terra-MODIS
[Termes IGN] image thermique
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] modèle hydrographique
[Termes IGN] Oklahoma (Etats-Unis)Résumé : (Auteur) Remote sensing with multispectral thermal infrared can improve regional estimation of evapotranspiration (ET) by providing new constraints on land surface energy balance. Current models use visible and near infrared bands to obtain vegetative cover, and sometimes use thermal infrared data for land surface temperature. Together these can yield good ET estimates. However, it may be possible to do even better by using remotely sensed thermal infrared emissivity, a surface property related to fractional vegetative cover but independent of plant greenness. Emissivities derived from clear-sky Moderate Resolution Imaging Spectroradiometer (MODIS) observations obtained in 2007 over the Southern Great Plains (Oklahoma and Kansas), USA, were compared with changes in Normalized Difference Vegetation Index (NDVI) for winter wheat and grazing land. Emissivity changes were independent of NDVI and sensitive to standing canopies, regardless of growth stage or senescence. Thus emissivities were seasonally dynamic, able to detect wheat harvest timing, and helpful for modelling ET. Numéro de notice : A2010-371 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431161.2010.483491 En ligne : https://doi.org/10.1080/01431161.2010.483491 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30565
in International Journal of Remote Sensing IJRS > vol 31 n° 14 (July 2010) . - pp 3867 - 3883[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-2010091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt The value of Lidar: in levee recertification and flood management / K. Legleiter in Geoinformatics, vol 13 n° 3 (01/04/2010)
[article]
Titre : The value of Lidar: in levee recertification and flood management Type de document : Article/Communication Auteurs : K. Legleiter, Auteur Année de publication : 2010 Article en page(s) : pp 24 - 27 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] cartographie des risques
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] eau pluviale
[Termes IGN] inondation
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] modèle numérique de terrainRésumé : (Auteur) LiDAR (Light Detection And Ranging) has become a widely accepted tool to generate accurate Digital Terrain Models (DTMs) used in a variety of water resource applications. This article discusses methods used to create accurate DTMs for several different dense LiDAR point spacings that can be found in challenging land geomorphology types and includes a case study to demonstrate how LiDAR is being used by water resource and GIS personnel to manage storm water, flood mapping, levee recertification, and emergency response applications. Copyright GEOinformatics Numéro de notice : A2010-136 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30331
in Geoinformatics > vol 13 n° 3 (01/04/2010) . - pp 24 - 27[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 262-2010031 SL Revue Centre de documentation Revues en salle Disponible A GIS analysis of the relationship between criminal offenses and parks in Kansas City, Kansas / N. Demotto in Cartography and Geographic Information Science, vol 33 n° 2 (April 2006)
[article]
Titre : A GIS analysis of the relationship between criminal offenses and parks in Kansas City, Kansas Type de document : Article/Communication Auteurs : N. Demotto, Auteur ; C.P. Davies, Auteur Année de publication : 2006 Article en page(s) : pp 141 - 157 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] espace vert
[Termes IGN] infraction
[Termes IGN] Kansas (Etats-Unis ; état)
[Termes IGN] milieu urbain
[Termes IGN] répartition géographique
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Most urban green space research focuses on the social benefits of parks and recreational areas. However, in areas with high levels of resource deprivation and physical disorder, parks may function as criminal marketplaces. Parks in such areas may cease to provide net benefits to the surrounding community and instead serve as a vector for criminal activity. Parks in eastern Kansas City, Kansas, are examined in terms of the probability of criminal marketplaces and beneficial social contribution. Variables for resource deprivation and social disorder are calculated for the study area and compared to national aggregates to identify which parks may behave as criminal marketplaces. In such cases, parks should exhibit an inverse relationship between distance from a park and number of criminal offenses per acre. Evaluating the incidence of crime near parks using geographic information systems (GIS) buffer analysis, proximity analysis, and spatial statistics demonstrates that parks in areas of extreme resource deprivation do not serve beneficial social roles, and some parks contradict conventional criminal justice and urban economic theory. Numéro de notice : A2006-287 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1559/152304006777681715 En ligne : https://doi.org/10.1559/152304006777681715 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28014
in Cartography and Geographic Information Science > vol 33 n° 2 (April 2006) . - pp 141 - 157[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-06021 RAB Revue Centre de documentation En réserve L003 Disponible Impacts of hydrologic soil properties on drought detection with MODIS thermal data / S. Park in Remote sensing of environment, vol 89 n° 1 (15/01/2004)PermalinkC-band scatterometer measurements of a tallgrass prairie / R.D. Martin in Remote sensing of environment, vol 29 n° 3 (01/09/1989)PermalinkMapping surface soil moisture with L-band radiometric measurements / J.R. Wang in Remote sensing of environment, vol 27 n° 3 (01/03/1989)PermalinkMeasuring and modeling spectral characteristics of a tallgrass prairie / G. Asrar in Remote sensing of environment, vol 27 n° 2 (01/02/1989)PermalinkEvaluating atmospheric correction models for retrieving surface temperatures from the AVHRR over a tallgrass prairie / D.I. Cooper in Remote sensing of environment, vol 27 n° 1 (01/01/1989)PermalinkRadiative surface temperatures of the burned and unburned areas in a tallgrass prairie / G. Asrar in Remote sensing of environment, vol 24 n° 3 (01/04/1988)PermalinkEvaluation and comparison of dominant backscattering sources at 10 ghz in two treatments of tall-grass prairie / R. Zoughi in Remote sensing of environment, vol 22 n° 3 (01/08/1987)Permalink