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Termes descripteurs IGN > 1- Outils - instruments et méthodes > Instrument > capteur (télédétection) > radiomètre > Advanced Very High Resolution Radiometer
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Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database / Collin Homer in ISPRS Journal of photogrammetry and remote sensing, vol 162 (April 2020)
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Titre : Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database Type de document : Article/Communication Auteurs : Collin Homer, Auteur ; Jon Dewitz, Auteur ; Suming Jin, Auteur Année de publication : 2020 Article en page(s) : pp 184 - 199 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] Advanced Very High Resolution Radiometer
[Termes descripteurs IGN] analyse diachronique
[Termes descripteurs IGN] base de données d'occupation du sol
[Termes descripteurs IGN] changement climatique
[Termes descripteurs IGN] changement d'utilisation du sol
[Termes descripteurs IGN] cultures
[Termes descripteurs IGN] détection de changement
[Termes descripteurs IGN] Etats-Unis
[Termes descripteurs IGN] forêt
[Termes descripteurs IGN] image Landsat-OLI
[Termes descripteurs IGN] image MODIS
[Termes descripteurs IGN] Medium Resolution Imaging Spectrometer
[Termes descripteurs IGN] surveillance de la végétation
[Termes descripteurs IGN] zone humideRésumé : (auteur) The 2016 National Land Cover Database (NLCD) product suite (available on www.mrlc.gov), includes Landsat-based, 30 m resolution products over the conterminous (CONUS) United States (U.S.) for land cover, urban imperviousness, and tree, shrub, herbaceous and bare ground fractional percentages. The release of NLCD 2016 provides important new information on land change patterns across CONUS from 2001 to 2016. For land cover, seven epochs were concurrently generated for years 2001, 2004, 2006, 2008, 2011, 2013, and 2016. Products reveal that land cover change is significant across most land cover classes and time periods. The land cover product was validated using existing reference data from the legacy NLCD 2011 accuracy assessment, applied to the 2011 epoch of the NLCD 2016 product line. The legacy and new NLCD 2011 overall accuracies were 82% and 83%, respectively, (standard error (SE) was 0.5%), demonstrating a small but significant increase in overall accuracy. Between 2001 and 2016, the CONUS landscape experienced significant change, with almost 8% of the landscape having experienced a land cover change at least once during this period. Nearly 50% of that change involves forest, driven by change agents of harvest, fire, disease and pests that resulted in an overall forest decline, including increasing fragmentation and loss of interior forest. Agricultural change represented 15.9% of the change, with total agricultural spatial extent showing only a slight increase of 4778 km2, however there was a substantial decline (7.94%) in pasture/hay during this time, transitioning mostly to cultivated crop. Water and wetland change comprised 15.2% of change and represent highly dynamic land cover classes from epoch to epoch, heavily influenced by precipitation. Grass and shrub change comprise 14.5% of the total change, with most change resulting from fire. Developed change was the most persistent and permanent land change increase adding almost 29,000 km2 over 15 years (5.6% of total CONUS change), with southern states exhibiting expansion much faster than most of the northern states. Temporal rates of developed change increased in 2001–2006 at twice the rate of 2011–2016, reflecting a slowdown in CONUS economic activity. Future NLCD plans include increasing monitoring frequency, reducing latency time between satellite imaging and product delivery, improving accuracy and expanding the variety of products available in an integrated database. Numéro de notice : A2020-121 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.02.019 date de publication en ligne : 03/03/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.02.019 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94746
in ISPRS Journal of photogrammetry and remote sensing > vol 162 (April 2020) . - pp 184 - 199[article]A global study of NDVI difference among moderate-resolution satellite sensors / Xingwang Fan in ISPRS Journal of photogrammetry and remote sensing, vol 121 (November 2016)
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Titre : A global study of NDVI difference among moderate-resolution satellite sensors Type de document : Article/Communication Auteurs : Xingwang Fan, Auteur ; Yuanbo Liu, Auteur Année de publication : 2016 Article en page(s) : pp 177 – 191 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes descripteurs IGN] Advanced Very High Resolution Radiometer
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] effet atmosphérique
[Termes descripteurs IGN] image MODIS
[Termes descripteurs IGN] image multicapteur
[Termes descripteurs IGN] image TIROS-AVHRR
[Termes descripteurs IGN] image VIIRS
[Termes descripteurs IGN] Normalized Difference Vegetation Index
[Termes descripteurs IGN] occupation du sol
[Termes descripteurs IGN] variation saisonnièreRésumé : (Auteur) Moderate-resolution sensors, including AVHRR (Advanced Very High Resolution Radiometer), MODIS (MODerate-resolution Imaging Spectroradiometer) and VIIRS (Visible-Infrared Imager-Radiometer Suite), have provided over forty years of global scientific data. In the form of NDVI (Normalized Difference Vegetation Index), these data greatly benefit environmental studies. However, their usefulness is compromised by sensor differences. This study investigates the global NDVI difference and its spatio-temporal patterns among typical moderate-resolution sensors, as supported by state-of-the-art remote sensing derived products. Our study demonstrates that the atmosphere plays a secondary role to LULC (Land Use/Land Cover) in inter-sensor NDVI differences. With reference to AVHRR/3, AVHRR/1 and 2 exhibit negative NDVI biases for vegetated land cover types. In summer (July), the area of negative bias shifts northward, and the magnitude increases in the Northern Hemisphere. For most LULC types, the bias generally shifts in the negative direction from winter (January) to summer. A linear regression of the NDVI difference versus NDVI shows a close correlation between the slope value and vegetation phenology. Overall, NDVI differences are controlled by LULC type and vegetation phenology. Our study can be used to generate a long-term, consistent NDVI data set from composite MODIS and AVHRR NDVI data. LULC-dependent and temporally variable correction equations are recommended to reduce inter-sensor NDVI differences. Numéro de notice : A2016--017 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2016.09.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83879
in ISPRS Journal of photogrammetry and remote sensing > vol 121 (November 2016) . - pp 177 – 191[article]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)
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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 descripteurs IGN] Advanced Very High Resolution Radiometer
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] désert
[Termes descripteurs IGN] étalonnage de capteur (imagerie)
[Termes descripteurs IGN] image Aqua-MODIS
[Termes descripteurs IGN] image Terra-MODIS
[Termes descripteurs IGN] rayonnement infrarouge
[Termes descripteurs IGN] Sahara, désert du
[Termes descripteurs IGN] Short Waves InfraRedRésumé : (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 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28280
in Remote sensing of environment > vol 105 n° 3 (15/12/2006) . - pp 214 - 220[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 110-06211 RAB Revue Centre de documentation En réserve 3L Disponible 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)
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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 descripteurs IGN] Advanced Very High Resolution Radiometer
[Termes descripteurs IGN] données de terrain
[Termes descripteurs IGN] impact sur l'environnement
[Termes descripteurs IGN] incendie de forêt
[Termes descripteurs IGN] Indonésie
[Termes descripteurs IGN] pollution atmosphérique
[Termes descripteurs IGN] spectre électromagnétiqueRésumé : (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 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26968
in International Journal of Remote Sensing IJRS > vol 25 n° 21 (November 2004) . - pp 4781 - 4794[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-04191 RAB Revue Centre de documentation En réserve 3L Exclu du prêt 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)
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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 descripteurs IGN] Advanced Very High Resolution Radiometer
[Termes descripteurs IGN] agriculture
[Termes descripteurs IGN] analyse comparative
[Termes descripteurs IGN] forêt
[Termes descripteurs IGN] image Landsat-ETM+
[Termes descripteurs IGN] Leaf Area Index
[Termes descripteurs IGN] Moderate Resolution Imaging Spectroradiometer
[Termes descripteurs IGN] occupation du solRésumé : (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 Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26425
in Remote sensing of environment > vol 88 n° 3 (15/12/2003) . - pp 233 - 255[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 110-03151 RAB Revue Centre de documentation En réserve 3L Disponible 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)
PermalinkIncorporating surface emissivity into a thermal atmospheric correction / N.A. Brunsell in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 12 (December 2002)
PermalinkPredicting mammal species richness and abundance using multi-temporal NDVI / B.O. Oindo in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 6 (June 2002)
PermalinkPermalinkCivil remote sensing satellites: observing the market / F. Wouters in Geoinformatics, vol 2 n° 7 (01/10/1999)
PermalinkPermalinkTerra 2 understanding the terrestrial environment - Remote sensing data systems and networks / Paul M. Mather (1995)
PermalinkPermalinkSeminar on digital cartography and GIS, Bangkok, Thailand, July 25 - August 5, 1994 / S. Vibulsresth (1994)
PermalinkAVHRR 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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