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Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest / X. Chen in Remote sensing of environment, vol 91 n° 1 (15/05/2004)
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Titre : Using Lidar and effective LAI data to evaluate Ikonos and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest Type de document : Article/Communication Auteurs : X. Chen, Auteur ; Lee Alexander Vierling, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 14 - 26 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] analyse comparative
[Termes IGN] analyse des mélanges spectraux
[Termes IGN] analyse multicritère
[Termes IGN] couvert forestier
[Termes IGN] Dakota du Sud (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] forêt
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-ETM+
[Termes IGN] indice de végétation
[Termes IGN] Leaf Area Index
[Termes IGN] Pinus ponderosaRésumé : (Auteur) Structural and functional analyses of ecosystems benefit when high accuracy vegetation coverages can be derived over large areas. In this study, we utilize IKONOS, Landsat 7 ETM+, and airborne scanning light detection and ranging (lidar) to quantify coniferous forest and understory grass coverages in a ponderosa pine (Pinus ponderosa) dominated ecosystem in the Black Hills of South Dakota. Linear spectral mixture analyses of IKONOS and ETM+ data were used to isolate spectral endmembers (bare soil, understory grass, and tree/shade) and calculate their subpixel fractional coverages. We then compared these endmember cover estimates to similar cover estimates derived from lidar data and field measures. The IKONOS-derived tree/shade fraction was significantly correlated with the field-measured canopy effective leaf area index (LAIe) (r2 = 0.55, p Numéro de notice : A2004-235 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.11.003 En ligne : https://doi.org/10.1016/j.rse.2003.11.003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26762
in Remote sensing of environment > vol 91 n° 1 (15/05/2004) . - pp 14 - 26[article]Local geoid determination using global positioning systems / K. Jeyapalan in Surveying and land information science, vol 64 n° 1 (01/03/2004)
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Titre : Local geoid determination using global positioning systems Type de document : Article/Communication Auteurs : K. Jeyapalan, Auteur Année de publication : 2004 Article en page(s) : pp 65 - 75 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géodésie physique
[Termes IGN] altitude orthométrique
[Termes IGN] contrôle altimétrique
[Termes IGN] géoïde local
[Termes IGN] Iowa (Etats-Unis)
[Termes IGN] positionnement cinématique en temps réel
[Termes IGN] positionnement par GPS
[Termes IGN] prédictionRésumé : (Auteur) It is well established that elevations determined by global position systems are above reference ellipsoid heights and should be corrected for geoid undulation to determine the orthometric height or mean sea-level elevation. The paper describes research performed at Iowa State University in cooperation with Iowa Department of Transportation to determine the local geoid, N1 with + 2 cm accuracv for a countywide area, study its variation with time, and develop a method to predict the future local geoid with + 2 cm accuracy. This paper describes the data collection method, provides the results of three observations at six-month intervals for studying the variation of N with time; explains a method developed for predicting N1 and determining agreement with a fourth observation; and describes a procedure for establishing elevation control by global positioning systems for leveling and for establishing control in a real-time kinematic global positioning systems project. Numéro de notice : A2004-240 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26767
in Surveying and land information science > vol 64 n° 1 (01/03/2004) . - pp 65 - 75[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 121-04011 SL Revue Centre de documentation Revues en salle Disponible Impact of imagery temporal on land-cover change detection monitoring / R.S. Lunetta in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
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Titre : Impact of imagery temporal on land-cover change detection monitoring Type de document : Article/Communication Auteurs : R.S. Lunetta, Auteur ; D.M. Johnson, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 444 - 454 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] acquisition d'images
[Termes IGN] analyse diachronique
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] détection de changement
[Termes IGN] écosystème
[Termes IGN] flore locale
[Termes IGN] forêt
[Termes IGN] image Landsat-TM
[Termes IGN] luminance lumineuse
[Termes IGN] occupation du sol
[Termes IGN] surveillance forestièreRésumé : (Auteur) An important consideration for monitoring land-cover (LC) change is the nominal temporal frequency of remote sensor data acquisitions required to adequately characterize change events. Ecosystem-specific regeneration rates are an important consideration for determining the required frequency of data collections to minimize change omission errors. Clear-cut forested areas in north central North Carolina undergo rapid colonization from pioneer (replacement) vegetation that is often difficult to differentiate spectrally from that previously present. This study compared change detection results for temporal frequencies corresponding to 3-, 7-, and 10-year time intervals for near-anniversary date Landsat 5 Thematic Mapper (TM) data acquisitions corresponding to a single path/row. Change detection was performed using an identical change vector analysis (CYA) technique for all imagery dates. Although the accuracy of the 3-year analysis was acceptable (86.3%, K = 0.55), a significant level of change omission errors resulted (51.7%). Accuracies associated with both the 7-year (43.6%, K = 0. 10) and 10year (37.2%, K= 0.05) temporal frequency analyses performed poorly, with excessive change omission errors of 84.8% and 86.3%, respectively. The average rate of LC change observed over the study area for the 13-year index period (1987-2000) was approximately 1.0% per annum. Overall results indicated that a minimum of 3-4-year temporal data acquisition frequency is required to monitor LC change events in north central North Carolina. Reductions in change omission errors could probably best be achieved by further increasing temporal data acquisition frequencies to a 1-2-year time interval. Numéro de notice : A2004-071 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.10.022 En ligne : https://doi.org/10.1016/j.rse.2003.10.022 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26599
in Remote sensing of environment > vol 89 n° 4 (29/02/2004) . - pp 444 - 454[article]The consequences of urban transformation on net primary productivity in the United States / M.L. Imhoff in Remote sensing of environment, vol 89 n° 4 (29/02/2004)
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Titre : The consequences of urban transformation on net primary productivity in the United States Type de document : Article/Communication Auteurs : M.L. Imhoff, Auteur ; L. Bounoua, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 434 - 443 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bilan du carbone
[Termes IGN] biogéographie
[Termes IGN] biologie
[Termes IGN] Etats-Unis
[Termes IGN] photosynthèse
[Termes IGN] production agricole
[Termes IGN] urbanisation
[Termes IGN] utilisation du sol
[Termes IGN] variable biophysique (végétation)Résumé : (Auteur) We use data from two satellites and a terrestrial carbon model to quantify the impact of urbanization on the carbon cycle and food production in the US as a result of reduced net primary productivity (NPP). Our results show that urbanization is taking place on the most fertile lands and hence has a disproportionately large overall negative impact on NPP. Urban land transformation in the US has reduced the amount of carbon fixed through photosynthesis by 0.04 pg per year or 1.6% of the pre-urban input. The reduction is enough to offset the 1.8% gain made by the conversion of land to agricultural use, even though urbanization covers an area less than 3% of the land surface in the US and agricultural lands approach 29% of the total land area. At local and regional scales, urbanization increases NPP in resource-limited regions and through localized warming "urban heat" contributes to the extension of the growing season in cold regions. In terms of biologically available energy, the loss of NPP due to urbanization of agricultural lands alone is equivalent to the caloric requirement of 16.5 million people, or about 6% of the US population. Numéro de notice : A2004-070 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.10.015 En ligne : https://doi.org/10.1016/j.rse.2003.10.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26598
in Remote sensing of environment > vol 89 n° 4 (29/02/2004) . - pp 434 - 443[article]Delineation of forest/nonforest land use classes using nearest neighbor methods / R. Haapanen in Remote sensing of environment, vol 89 n° 3 (15/02/2004)
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Titre : Delineation of forest/nonforest land use classes using nearest neighbor methods Type de document : Article/Communication Auteurs : R. Haapanen, Auteur ; A.R. Ek, Auteur ; Andrew O. Finley, Auteur ; M.E. Bauer, Auteur Année de publication : 2004 Article en page(s) : pp 265 - 271 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification barycentrique
[Termes IGN] délimitation
[Termes IGN] forêt
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] Minnesota (Etats-Unis)
[Termes IGN] occupation du solRésumé : (Auteur) The k-Nearest Neighbor (kNN) method of forest attribute estimation and mapping has become an integral part of national forest inventory methods in Finland in the last decade. This success of kNN method in facilitating multisource inventory has encouraged trials of the method in the Great Lakes Region of the United States. Here we present results from applying the method to Landsat TM and ETM+ data and land cover data collected by the USDA Forest Service's Forest Inventory and Analysis (FIA) program. In 1999, the FIA program in the state of Minnesota moved to a new annual inventory design to reach its targeted full sampling intensity over a 5-year period. This inventory design also utilizes a new 4-subplot cluster plot configuration. Using this new plot design together with 1 year of field plot observations, the kNN classification of forest/nonforest/water achieved overall accuracies ranging from 87% to 91%. Our analysis revealed several important behavioral features associated with kNN classification using the new FIA sample plot design. Results demonstrate the simplicity and utility of using kNN to produce FIA defined forest/nonforest/water classifications. Numéro de notice : A2004-017 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.10.002 En ligne : https://doi.org/10.1016/j.rse.2003.10.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26545
in Remote sensing of environment > vol 89 n° 3 (15/02/2004) . - pp 265 - 271[article]Effect of grain size on remotely sensed spectral reflectance of sandy desert surfaces / G.S. Okin in Remote sensing of environment, vol 89 n° 3 (15/02/2004)
PermalinkSpatial simulation for translating from land use to land cover / Daniel G. Brown in International journal of geographical information science IJGIS, vol 18 n° 1 (january - february 2004)
PermalinkImpacts 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)
PermalinkPermalinkAutomated subpixel photobathymetry and water quality mapping / R.L. Huguenin in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
PermalinkAVIRIS measurements of chlorophyll, suspended minerals, dissolved organic carbon, and turbidity in the Neuse River, North Carolina / M.A. Karaska in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 1 (January 2004)
PermalinkHigh-resolution imaging from space: a world-wide survey (part 1 North America) / Gordon Petrie in Geoinformatics, vol 7 n° 1 (01/01/2004)
PermalinkProceedings of the sixth Annual Forest Inventory and Analysis Symposium, 2004 September 21-24, Denver, Colorado / Ronald E. McRoberts (2004)
PermalinkRemote sensing of atmospheric water vapor with the Global Positioning System / John Joseph Braun (2004)
PermalinkSpatial data infrastructure and policy development in Europe and the United States / Bastiaan Van Loenen (2004)
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