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Calibration of NOAA16 AVHRR over a desert site using MODIS data / Eric F. Vermote in Remote sensing of environment, vol 105 n° 3 (15/12/2006)  

Public [article]  inRemote sensing of environment > vol 105 n° 3 (15/12/2006) . - pp 214 - 220 Titre : Calibration of NOAA16 AVHRR over a desert site using MODIS data Type de document : Article/Communication Auteurs : Eric F. Vermote, Auteur ; N.Z. Saleous, Auteur Année de publication : 2006 Article en page(s) : pp 214 - 220 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] Advanced Very High Resolution Radiometer [Termes IGN] analyse comparative [Termes IGN] désert [Termes IGN] étalonnage de capteur (imagerie) [Termes IGN] image Aqua-MODIS [Termes IGN] image Terra-MODIS [Termes IGN] rayonnement infrarouge [Termes IGN] Sahara, désert du [Termes IGN] Short Waves InfraRed Résumé : (Auteur) This paper presents a new approach to AVHRR-sensors cross-calibration in the visible to shortwave-infrared spectral domain using an a-priori, well calibrated sensor (MODIS). The approach has been tested over a stable Sahara desert site and was initially applied to compare the absolute calibration coefficients of three different bands of the Terra and Aqua MODIS instruments. The observed agreement was better than 1% for bands 1 (0.67um), 2 (0.87 um) and 7 (2.13 um). The approach was then applied to cross-calibrate the AVHRR sensor onboard NOAA16. The absolute calibration coefficients derived for bands 1 and 2, using the Terra MODIS as a reference, were compared to the vicarious coefficients derived using the ocean and clouds method [Vermote E.F. and Kaufman Y.J. (1995). Absolute calibration of AVHRR visible and near-infrared channels using ocean and cloud views, International Journal of Remote Sensing, 16, 13, 2317–2340.]. The coefficients were consistent within less than 1%. Copyright Elsevier Numéro de notice : A2006-557 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.06.015 En ligne : https://doi.org/10.1016/j.rse.2006.06.015 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28280 [article]

The use of AVHRR data to determine the concentration of visible and invisible tropospheric pollutants originating from a 1997 forest fire in Southeast Asia / M. Hashim in International Journal of Remote Sensing IJRS, vol 25 n° 21 (November 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 21 (November 2004) . - pp 4781 - 4794 Titre : The use of AVHRR data to determine the concentration of visible and invisible tropospheric pollutants originating from a 1997 forest fire in Southeast Asia Type de document : Article/Communication Auteurs : M. Hashim, Auteur ; A. Kannaiah, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 4781 - 4794 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Advanced Very High Resolution Radiometer [Termes IGN] données de terrain [Termes IGN] impact sur l'environnement [Termes IGN] incendie de forêt [Termes IGN] Indonésie [Termes IGN] pollution atmosphérique [Termes IGN] spectre électromagnétique Résumé : (Auteur) A massive forest fire in Indonesia in 1997 affected the whole Asian region by producing a large smoke plume, with Malaysia bearing the brunt due to the wind direction and weather conditions and because of its proximity to the source. The five primary fire produced pollutants were carbon monoxide (C0), sulphur dioxide (S02), nitrogen dioxide (N02), ozone (03) and particulate matter less than 10 um (PM10). The first four of these are, of course, invisible to conventional satellite-flown multispectral scanners operating in the visible and near infrared regions of the electromagnetic spectrum. The fifth PM10, is present in the haze and therefore makes an observable contribution to the signal received by the Advanced Very High Resolution Radiometer (AVHRR). The haze in AVHIRR channels 1 and 2 data for the fires of September 1997 has been used to study the concentration of PM10 directly. It has also been used to study the concentration indirectly-as a tracer or surrogate-for the four remaining materials, the gases CO, S02, N02 and 03). Data from ground observations have been used to calibrate the results and the distributions of the fire pollutants over Peninsular Malaysia have been plotted. Numéro de notice : A2004-448 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160410001712963 En ligne : https://doi.org/10.1080/01431160410001712963 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26968 [article]

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Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS / W.B. Cohen in Remote sensing of environment, vol 88 n° 3 (15/12/2003)  

Public [article]  inRemote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 233 - 255 Titre : Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS Type de document : Article/Communication Auteurs : W.B. Cohen, Auteur ; T.K. Maiersperger, Auteur ; S.T. Gower, Auteur ; S.W. Running, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 233 - 255 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Advanced Very High Resolution Radiometer [Termes IGN] agriculture [Termes IGN] analyse comparative [Termes IGN] forêt [Termes IGN] image Landsat-ETM+ [Termes IGN] Leaf Area Index [Termes IGN] Moderate Resolution Imaging Spectroradiometer [Termes IGN] occupation du sol Résumé : (Auteur) The MODIS land science team produces a number of standard products, including land cover and leaf area index (LAI). Critical to the success of MODIS and other sensor products is an independent evaluation of product quality. In that context, we describe a study using field data and Landsat ETM+ to map land cover and LAI at four 49-km2 sites in North America containing agricultural cropland (AGRO), prairie grassland (KONZ), boreal needleleaf forest, and temperate mixed forest. The purpose was to: (1) develop accurate maps of land cover, based on the MODIS IGBP (International Geosphere-Biosphere Programme) land cover classification scheme; (2) derive continuous surfaces of LAI that capture the mean and variability of the LAI field measurements; and (3) conduct initial MODIS validation exercises to assess the quality of early (i.e., provisional) MODIS products. ETM+ land cover maps varied in overall accuracy from 81% to 95%. The boreal forest was the most spatially complex, had the greatest number of classes, and the lowest accuracy. The intensive agricultural cropland had the simplest spatial structure, the least number of classes, and the highest overall accuracy. At each site, mapped LAI patterns generally followed patterns of land cover across the site. Predicted versus observed LAI indicated a high degree of correspondence between field-based measures and ETM+ predictions of LAI. Direct comparisons of ETM+ land cover maps with Collection 3 MODIS cover maps revealed several important distinctions and similarities. One obvious difference was associated with image/map resolution. ETM+ captured much of the spatial complexity of land cover at the sites. In contrast, the relatively coarse resolution of MODIS did not allow for that level of spatial detail. Over the extent of all sites, the greatest difference was an overprediction by MODIS of evergreen needleleaf forest cover at the boreal forest site, which consisted largely of open shrubland, woody savanna, and savanna. At the agricultural, temperate mixed forest, and prairie grassland sites, ETM+ and MODIS cover estimates were similar. Collection 3 MODISbased LAI estimates were considerably higher (up to 4m2 4m-2) than those based on ETM+ LAI at each site. There are numerous probable reasons for this, the most important being the algorithms' sensitivity to MODIS reflectance calibration, its use of a prelaunch AVHRR-based land cover map, and its apparent reliance on mainly red and near-IR reflectance. Samples of Collection 4 LAI products were examined and found to consist of significantly improved LAI predictions for KONZ, and to some extent for AGRO, but not for the other two sites. In this study, we demonstrate that MODIS reflectance data are highly correlated with LAI across three study sites, with relationships increasing in strength from 500 to 1000 m spatial resolution, when shortwave-infrared bands are included. Numéro de notice : A2003-345 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2003.06.006 En ligne : https://doi.org/10.1016/j.rse.2003.06.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26425 [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)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 8 (August 2003) . - pp 899 - 906 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] tronc Résumé : (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 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22466 [article]

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Incorporating surface emissivity into a thermal atmospheric correction / N.A. Brunsell in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 12 (December 2002)

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 12 (December 2002) . - pp 1263 - 1269 Titre : Incorporating surface emissivity into a thermal atmospheric correction Type de document : Article/Communication Auteurs : N.A. Brunsell, Auteur ; R. Gillies, Auteur Année de publication : 2002 Article en page(s) : pp 1263 - 1269 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Advanced Very High Resolution Radiometer [Termes IGN] correction atmosphérique [Termes IGN] emissivité [Termes IGN] image thermique [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] réflectance de surface [Termes IGN] température de surface [Termes IGN] température en altitude Résumé : (Auteur) The issue of incorporating surface emissivity into a thermal atmospheric correction of thermal remotely sensed data is addressed. The Normalized Difference Vegetation Index (NDVI) is derived using atmospherically corrected surface reflectance values, which is subsequently used to estimate the percent Q vegetation cover. Surface emissivity is approximated by a linear interpolation between a minimum bare soil emissivity and a maximum vegetation value of emissivity. An application of the method to an image over the Southern Great Plains 1997 (SGP97) Hydrology Experiment for the Advanced Very High Resolution Radiometer (AVHRR) band 4 demonstrates temperature corrections up to 8°C, with a mean correction at 3.7°C. The temperatures within the fully vegetated pixels show good agreement with air temperature measurements at the time of satellite overpass. Numéro de notice : A2002-298 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22209 [article]

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Predicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)

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Civil remote sensing satellites: observing the market / F. Wouters in Geoinformatics, vol 2 n° 7 (01/10/1999)

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Calibration status of the NOAA AVHRR solar reflectance channels / R.M. Mitchell (1999)

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Terra 2 understanding the terrestrial environment - Remote sensing data systems and networks / Paul M. Mather (1995)

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Satellite imaging instruments / C.B. Pease (1994)

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Seminar on digital cartography and GIS, Bangkok, Thailand, July 25 - August 5, 1994 / S. Vibulsresth (1994)

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AVHRR monitoring of US crops during the 1988 drought / W.L. Teng in Photogrammetric Engineering & Remote Sensing, PERS, vol 56 n° 8 (august 1990)

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Limitations to the identification of spatial structures from AVHRR data / A.S. Belward in International Journal of Remote Sensing IJRS, vol 11 n° 5 (May 1990)  

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Three methods for the absolute calibration of the NOAA AVHRR sensors in-flight / P.M. Teillet in Remote sensing of environment, vol 31 n° 2 (01/02/1990)  

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3. Satellites et climatologie / J. Mounier (1990)

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