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Normalized Difference Vegetation IndexSynonyme(s)NDVI |
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Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI-rainfall relationship / Giles M. Foody in Remote sensing of environment, vol 88 n° 3 (15/12/2003)
[article]
Titre : Geographical weighting as a further refinement to regression modelling: an example focused on the NDVI-rainfall relationship Type de document : Article/Communication Auteurs : Giles M. Foody, Auteur Année de publication : 2003 Article en page(s) : pp 283 - 293 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] méthode des moindres carrés
[Termes IGN] modèle de régression
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] précipitationRésumé : (Auteur) The regression analyses undertaken commonly in remote sensing are aspatial, ignoring the locational information associated with each sample site at which the variables under study were measured. Typically, basic ordinary least squares regression analysis is used to derive a relationship that is believed to be uniformly applicable across the study area. Although such global analyses may appear satisfactory, often with large coefficients of determination derived, they may provide an inappropriate description of the relationship between the variables under study. In particular, a global regression analysis may miss local detail that can be significant if the relationship is spatially nonstationary. Local statistical approaches, such as geographically weighted regression, include the spatial coordinates of the sample sites in the analysis and may provide a more appropriate basis for the investigation of the relationship between variables. The potential value of geographically weighted regression to the remote sensing community is illustrated with reference to the relationship between the normalised difference vegetation index (NDVI) and rainfall over north Africa and the Middle East over an 8-year period. For each year, spatial non-stationarity was evident, particularly with regard to the slope parameter of the regression model. Moreover, the conventional ordinary least squares regression models, while superficially strong (minimum R2 == 0.67), were relatively poor local descriptors of the relationship. Relative to this, the geographically weighted approach to regression provided considerably stronger relationships from the same data sets (minimum R2 = 0.96) as well as highlighting areas of local variation. The implications of the difference in the outputs from the two types of regression analysis are illustrated with reference to the use of the derived NDVI-rainfall relationships in mapping desert extent. For example, with the data relating to 1987 the southern limit of the Sahara was generally estimated to lie at a more southerly position when the relationship derived from OLS rather than geographically weighted regression was used. Numéro de notice : A2003-346 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.08.004 En ligne : https://doi.org/10.1016/j.rse.2003.08.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26426
in Remote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 283 - 293[article]Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions / C. Royo in International Journal of Remote Sensing IJRS, vol 24 n° 22 (November 2003)
[article]
Titre : Usefulness of spectral reflectance indices as durum wheat yield predictors under contrasting Mediterranean conditions Type de document : Article/Communication Auteurs : C. Royo, Auteur ; N. Aparicio, Auteur ; D. Villegas, Auteur ; J. Casadesus, Auteur ; P. Monneveux, Auteur ; J.L. Araus, Auteur Année de publication : 2003 Article en page(s) : pp 4403 - 4419 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] blé (céréale)
[Termes IGN] couvert végétal
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] réflectance spectrale
[Termes IGN] réflectance végétale
[Termes IGN] rendement agricoleRésumé : (Auteur) Early prediction of crop yield can be an important tool for identifying promising genotypes in breeding programmes. To assess whether measurements of canopy reflectance at given stages of development could be used for yield forecasting and to identify the most appropriate indices, locations and growth stages for durum wheat yield assessment, nine field experiments, each including 20 or 25 durum wheat (Triticum turgidum L. var durum) genotypes, were carried out under a wide range of Mediterranean conditions. Canopy reflectance was recorded with a portable field spectroradiometer at several times from booting to physiological maturity. and nine indices were further derived. Grain yield15 was measured at harvesting. The results indicated that milkgrain stage was the most appropriate developmental stage for yield assessment. However, some indices were also sensitive to yield variations when determined at anthesis or even heading or booting. The capacity of spectral reflectance indices to forecast grain yield increased on locations that allowed genotypes to express their yield potentiality. Reflectance at 550 nm (R550), water index (WI), photochemical reflectance index (PRI). structural independent pigment index (SIPI), normalized difference vegetation index (NDVI) and simple ratio (SR) explained jointly a 95.7% of yield varlability when all the experiments were analysed together, 92% being explained by R550. When regression analyses were carried out separately for each experiment, spectral reflectance indices explained from 17.3% to 65.2% of total variation in yield. and the indices that best explained differences in yield were experimentdependent. Our data suggest that reflectance at 680 nm (R680), WI and SR may be suitable estimators of durum wheat grain yield under Mediterranean conditions, when determined at milkgrain stage. Numéro de notice : A2003-310 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000150059 En ligne : https://doi.org/10.1080/0143116031000150059 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22606
in International Journal of Remote Sensing IJRS > vol 24 n° 22 (November 2003) . - pp 4403 - 4419[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03221 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Land-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach / C.P. Lo in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Land-use and land-cover change, urban heat island phenomenon, and health implications: a remote sensing approach Type de document : Article/Communication Auteurs : C.P. Lo, Auteur ; D.A. Quattrochi, Auteur Année de publication : 2003 Article en page(s) : pp 1053 - 1063 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] Atlanta (Géorgie)
[Termes IGN] classification non dirigée
[Termes IGN] image Landsat-MSS
[Termes IGN] image Landsat-TM
[Termes IGN] milieu rural
[Termes IGN] milieu urbain
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] occupation du sol
[Termes IGN] ozone
[Termes IGN] pollution atmosphérique
[Termes IGN] risque sanitaire
[Termes IGN] santé
[Termes IGN] température de surface
[Termes IGN] utilisation du solNuméro de notice : A2003-235 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.1053 En ligne : https://doi.org/10.14358/PERS.69.9.1053 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22530
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1053 - 1063[article]AVHRR-based spectral vegetation Index for quantitative assessment of vegetation state and productivity: calibration and validation / F. Kogan in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 8 (August 2003)
[article]
Titre : AVHRR-based spectral vegetation Index for quantitative assessment of vegetation state and productivity: calibration and validation Type de document : Article/Communication Auteurs : F. Kogan, Auteur ; A. Gitelson, Auteur ; E. Zakarin, Auteur ; L. Spivak, Auteur ; L. Lebed, Auteur Année de publication : 2003 Article en page(s) : pp 899 - 906 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Advanced Very High Resolution Radiometer
[Termes IGN] étalonnage en vol
[Termes IGN] gestion des ressources
[Termes IGN] indice de végétation
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] troncRésumé : (Auteur) The goal of the work was to estimate, quantitatively, vegetation state and productivity using AVHRR based Vegetation Condition Index (VCI). The VCI algorithm includes application of postlaunch calibration to visible channels, calculation of NDVI from channels' reflectance, removal of high frequency noise from NDVI's annual time series, stratification of ecosystem resources, and separation of ecosystem and weather components in the NDVI value. The weather component was calculated by normalizing the NDVI to the difference of the extreme NDVI fluctuations (maximum and minimum), derived from multiyear data for each week and land pixel. The VCI was compared with wheat density measured in Kazakhstan. Six test fields were located in different climatic (annual precipitation 150 to 700 mm) and ecological (semi desert to steppe forest) zones with elevations from 200 to 700 m and a wide range of NDVI variation over space and season from 0.05 to 0.47. Plant density (PD) was measured in wheat fields by calculating the number of stems per unit area. PD deviation from year to year (PDD) was expressed as a deviation from median density calculated from multiyear data. The correlation between PDD and VCI all stations was positive and quite strong (r2 > 0.75) with the Standard Errors of Estimates (SEE) of PDD less than 16 percent ; for individual stations, the SEE was less than 11 percent. The results indicate that VCI is an appropriate index for monitoring weather impact on vegetation and for assessment of pasture and crop productivity in Kazakhstan. Because satellite observations provide better spatial and temporal coverage, the VCI based system will provide efficient tools for management of water resources and the improvement of agricultural planning. This system will serve as a prototype in the other parts of the world where ground observations are limited or not available. Numéro de notice : A2003-170 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.8.899 En ligne : https://doi.org/10.14358/PERS.69.8.899 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22466
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 8 (August 2003) . - pp 899 - 906[article]Applications and research using remote sensing for rangeland management / E.R. Hunt in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 6 (June 2003)
[article]
Titre : Applications and research using remote sensing for rangeland management Type de document : Article/Communication Auteurs : E.R. Hunt, Auteur ; James H. Everitt, Auteur ; J.C. Ritchie, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 675 - 693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] couvert végétal
[Termes IGN] données lidar
[Termes IGN] écosystème
[Termes IGN] flore locale
[Termes IGN] image Landsat
[Termes IGN] image NOAA-AVHRR
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] paturage
[Termes IGN] prairie
[Termes IGN] rugosité
[Termes IGN] surveillance écologique
[Termes IGN] système d'information géographique
[Termes IGN] télédétection aérienneRésumé : (Auteur) Rangelands are grasslands, shrublands, and savannas used by wildlife for habitat and livestock in order to produce food and fiber. Assessment and monitoring of rangelands are currently based on comparing the plant species present in relation to an expected successional end-state defined by the ecological site. In the future, assessment and monitoring may be based on indicators of ecosystem health, including sustainability of soil, sustainability of plant production, and presence of invasive weed species. USDA Agricultural Research Service (ARS) scientists are actively engaged in developing quantitative, repeatable, and low-cost methods to measure indicators of ecosystern health using remote sensing. Noxious weed infestations can be determined by careful selection of the spatial resolution, spectral bands, and timing of image acquisition. Rangeland productivity can be estimated with either Landsat or Advanced Very High Resolution Radiometer data using models of gross primary production based on radiation use efficiency. Lidar measurements are useful for canopy structure and soil roughness, indicating susceptibility to erosion. The value of remote sensing for rangeland management depends in part on combining the imagery with other spatial data within geographic information systems. Finally, ARS scientists are developing the knowledge on which future rangeland assessment and monitoring tools will be developed. Numéro de notice : A2003-115 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.6.675 En ligne : https://doi.org/10.14358/PERS.69.6.675 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22411
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 6 (June 2003) . - pp 675 - 693[article]Satellite multi-sensor data analysis of urban surface temperatures and Landcover / B. Dousset in ISPRS Journal of photogrammetry and remote sensing, vol 58 n° 1-2 (June - December 2003)PermalinkA comparative analysis of scanned maps and imagery for mapping applications / Costas Armenakis in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 5-6 (April - May 2003)PermalinkExpert system house detection in high spatial resolution: Imagery using size, shape, and context / J.A. Tullis in Geocarto international, vol 18 n° 1 (March - May 2003)PermalinkAssessment of the possible drought impact on farm production in the SE of the province of Buenos Aires, Argentina / T. Hartmann in ISPRS Journal of photogrammetry and remote sensing, vol 57 n° 4 (February - March 2003)PermalinkAssessment of regional forest and scrub productivity using a coupled vegetation process model with remote sensing / Nicholas C. Coops in Geocarto international, vol 17 n° 4 (December 2002 - February 2003)PermalinkIncorporating surface emissivity into a thermal atmospheric correction / N.A. Brunsell in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 12 (December 2002)PermalinkLandscape dynamics of the spread of sudden oak death / M. Kelly in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 10 (October 2002)PermalinkBidirectional NDVI and atmospherically resistant BRDF inversion for vegetation canopy / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)PermalinkEvaluation of narrowband and broadband vegetation indices for determining optimal hyperspectral wavebands for agricultural crop characterization / Prasad S. Thenkabail in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)PermalinkInundation discriminated using sun glint / V.C. Vanderbilt in IEEE Transactions on geoscience and remote sensing, vol 40 n° 6 (June 2002)Permalink