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A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements / D. Mazzoni in Remote sensing of environment, vol 107 n° 1-2 (15 March 2007)
[article]
Titre : A data-mining approach to associating MISR smoke plume heights with MODIS fire measurements Type de document : Article/Communication Auteurs : D. Mazzoni, Auteur ; J.A. Logan, Auteur ; D. Diner, Auteur ; et al., Auteur Année de publication : 2007 Article en page(s) : pp 138 - 148 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aérosol
[Termes IGN] Amérique du nord
[Termes IGN] classification par réseau neuronal
[Termes IGN] classification par séparateurs à vaste marge
[Termes IGN] exploration de données
[Termes IGN] fumée
[Termes IGN] image Terra-MISR
[Termes IGN] image Terra-MODIS
[Termes IGN] incendie
[Termes IGN] nuageRésumé : (Auteur) Satellites provide unique perspectives on aerosol global and regional spatial and temporal distributions, and offer compelling evidence that visibility and air quality are affected by particulate matter transported over long distances. The heights at which emissions are injected into the atmosphere are major factors governing downwind dispersal. In order to better understand the environmental factors determining injection heights of smoke plumes from wildfires, we have developed a prototype system for automatically searching through several years of MISR and MODIS data to locate fires and the associated smoke plumes and to retrieve injection heights and other relevant measurements from them. We are refining this system and assembling a statistical database, aimed at understanding how injection height relates to the fire severity and local weather conditions. In this paper we focus on our working proof-of-concept system that demonstrates how machine-learning and data mining methods aid in processing of massive volumes of satellite data. Automated algorithms for distinguishing smoke from clouds and other aerosols, identifying plumes, and extracting height data are described. Preliminary results are presented from application to MISR and MODIS data collected over North America during the summer of 2004. Copyright Elsevier Numéro de notice : A2007-053 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.014 En ligne : https://doi.org/10.1016/j.rse.2006.08.014 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28418
in Remote sensing of environment > vol 107 n° 1-2 (15 March 2007) . - pp 138 - 148[article]Analysis of process variance in remote sensing applications / M. Matur in GIS development, vol 11 n° 2 (February 2007)
[article]
Titre : Analysis of process variance in remote sensing applications Type de document : Article/Communication Auteurs : M. Matur, Auteur ; Y. Andukar, Auteur Année de publication : 2007 Article en page(s) : pp 38 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] image NOAA
[Termes IGN] image Terra-MODIS
[Termes IGN] ressources terrestres
[Termes IGN] traitement d'imageRésumé : (Auteur) Satellite based mapping of resources has been around for a number of years now. The wealth of data will continue to pour down from the satellites for times to come. Analysis of data, reducing it to useful information and disseminating it to the intended users will keep a part of remote sensing community occupied. Numéro de notice : A2007-629 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81447
in GIS development > vol 11 n° 2 (February 2007) . - pp 38 - 41[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 166-2007021 RAB Revue Centre de documentation En réserve L003 Disponible Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm / M. Momeni in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Evaluating NDVI-based emissivities of MODIS bands 31 and 32 using emissivities derived by day/night LST algorithm Type de document : Article/Communication Auteurs : M. Momeni, Auteur ; M.R. Saradjan, Auteur Année de publication : 2007 Article en page(s) : pp 190 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bande spectrale
[Termes IGN] écart type
[Termes IGN] emissivité
[Termes IGN] erreur systématique
[Termes IGN] image Terra-MODIS
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] occupation du sol
[Termes IGN] régression linéaire
[Termes IGN] seuillage d'image
[Termes IGN] température au sol
[Termes IGN] température de surface
[Termes IGN] variation diurne
[Termes IGN] zone arideRésumé : (Auteur) Surface emissivity estimation is a significant factor for the land surface temperature estimation from remotely sensed data. For fully vegetated surfaces, the emissivity estimation is performed in a simple manner since the emissivity is relatively uniform. However, for arid land with sparse vegetation, the estimation is more complicated since the emissivity of the exposed soil and rock is highly variable. In this study, mean and difference emissivity for bands 31 and 32 of MODIS sensor have been derived based on NDVI values. First, the NDVI thresholds have been determined to separate bare soil, partially vegetated soil and fully vegetated land. Then regression relations have been derived to estimate mean and difference emissivity of the bare soil samples and partially vegetated surfaces. A constant emissivity is also used for fully vegetated area. Along with the correlations, standard deviations of the regression relations have been examined for a set of representative soil types. Standard deviations smaller than 0.003 in mean emissivity and smaller than 0.004 in difference emissivity are resulted in regression linear relations. Evaluation of the NDVI derived regression relations has been performed using the results of MODIS Day/Night Land Surface Temperature (LST) algorithm on a pair of MODIS images. Using around 45,500 pixels with different soil and land cover types, emissivity of each pixel in bands 31 and 32 have been estimated. The calculated emissivities have been compared with emissivities calculated by MODIS Day/Night LST algorithm. Biases and standard deviations of NDVI-based relations show relatively high agreement for mean and difference emissivity relations with Day/Night method results. It may be concluded that the proposed algorithm can be used as a rather simple alternative to complex emissivity estimation algorithms. Copyright Elsevier Numéro de notice : A2007-021 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.005 En ligne : https://doi.org/10.1016/j.rse.2006.08.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28387
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 190 - 198[article]Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses / H. Kobayashi in Remote sensing of environment, vol 106 n° 2 (30/01/2007)
[article]
Titre : Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest: Multi-satellite data and radiative transfer analyses Type de document : Article/Communication Auteurs : H. Kobayashi, Auteur ; R. Suzuki, Auteur ; S. Kobayashi, Auteur Année de publication : 2007 Article en page(s) : pp 238 - 252 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] changement climatique
[Termes IGN] forêt boréale
[Termes IGN] image NOAA-AVHRR
[Termes IGN] image SPOT-Végétation
[Termes IGN] image Terra-MODIS
[Termes IGN] Leaf Area Index
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de transfert radiatif
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] Pinophyta
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] réflectance spectrale
[Termes IGN] Russie
[Termes IGN] Sibérie
[Termes IGN] surveillance forestière
[Termes IGN] variation saisonnièreRésumé : (Auteur) Reliable monitoring of seasonality in the forest canopy leaf area index (LAI) in Siberian forests is required to advance the understanding of climate–forest interactions under global environmental change and to develop a forest phenology model within ecosystem modeling. Here, we compare multi-satellite (AVHRR, MODIS, and SPOT/VEGETATION) reflectance, normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and LAI with aircraft-based spectral reflectance data and field-measured forest data acquired from April to June in 2000 in a larch forest near Yakutsk, Russia. Field data in a 30 x 30-m study site and aircraft data observed around the field site were used. Larch is a dominant forest type in eastern Siberia, but comparison studies that consider multi-satellite data, aircraft-based reflectance, and field-based measurement data are rarely conducted. Three-dimensional canopy radiative transfer calculations, which are based on Antyufeev and Marshak's [Antyufeev, V.S., & Marshak, A.L. (1990). Monte Carlo method and transport equation in plant canopies, Remote Sensing of Environment, 31, 183–191] Monte Carlo photon transport method combined with North's [North, P.R. (1996). Three-dimensional forest light interaction model using a Monte Carlo method, IEEE Transactions on Geoscience and Remote Sensing, 34(4), 946–956] geometric-optical hybrid forest canopy scene, helped elucidate the relationship between canopy reflectance and forest structural parameters, including several forest floor conditions. Aircraft-based spectral measurements and the spectral response functions of all satellite sensors confirmed that biases in reflectance seasonality caused by differences in spectral response functions among sensors were small. However, some reflectance biases occur among the near infrared (NIR) reflectance data from satellite products; these biases were potentially caused by absolute calibration errors or cloud/cloud shadow contamination. In addition, reflectance seasonality in AVHRR-based NIR data was very small compared to other datasets, which was partially due to the spring-to-summer increase in the amount of atmospheric water vapor. Radiative transfer simulations suggest that bidirectional reflectance effects were small for the study site and observation period; however, changes in tree density and forest floor conditions affect the absolute value of NIR reflectance, even if the canopy leaf area condition does not change. Reliable monitoring of canopy LAI is achieved by minimizing these effects through the use of NIR reflectance difference, i.e., the difference in reflectance on the observation day from the reflectance on a snow-free/pre-foliation day. This may yield useful and robust parameters for multi-satellite monitoring of the larch canopy LAI with less error from intersensor biases and forest structure/floor differences. Further validation with field data and combined use of other index (e.g. normalized difference water index, NDWI) data will enable an extension of these findings to all Siberian deciduous forests. Copyright Elsevier Numéro de notice : A2007-022 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2006.08.011 En ligne : https://doi.org/10.1016/j.rse.2006.08.011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28388
in Remote sensing of environment > vol 106 n° 2 (30/01/2007) . - pp 238 - 252[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)
[article]
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 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 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
in Remote sensing of environment > vol 105 n° 3 (15/12/2006) . - pp 214 - 220[article]Spectral normalisation and fusion of optical sensors for the retrieval of BRDF and albedo: application to vegetation, MODIS, and MERIS data sets / O. Samain in IEEE Transactions on geoscience and remote sensing, vol 44 n° 11 Tome 1 (November 2006)PermalinkImproved estimation of aerosol optical depth from MODIS imagery over land surfaces / B. Zhong in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkIntegration of MODIS data into a simple model for the spatial distributed simulation of soil water content and evapotranspiration / Y. Zhang in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkValidation of satellite observed thermal emission with in-situ measurements over an urban surface / G. Rigo in Remote sensing of environment, vol 104 n° 2 (30 September 2006)PermalinkComparison of large-area land cover products with national forest inventories and CORINE land cover in the European Alps / Lars T. Waser in International journal of applied Earth observation and geoinformation, vol 8 n° 3 (September 2006)PermalinkAerosol optical depth and land surface reflectance from multiangle AATSR measurements: global validation and intersensor comparisons / W.M.F. Grey in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)PermalinkOn the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance / F. Gao in IEEE Transactions on geoscience and remote sensing, vol 44 n° 8 (August 2006)PermalinkMODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous USA / R.H. Waring in Remote sensing of environment, vol 103 n° 2 (30/07/2006)PermalinkCloud base heights retrieved during night-time conditions with MODIS data / K. Hutchinson in International Journal of Remote Sensing IJRS, vol 27 n°12-13-14 (July 2006)PermalinkCo-registration and inter-sensor comparison of MODIS and LANDSAT 7 ETM+ data aimed at NDVI calculation / P. Boccardo in Revue Française de Photogrammétrie et de Télédétection, n° 182 (Juin 2006)PermalinkRelevance of hyperspectral data for natural resources management / T.V. Ramachandra in GIS development, vol 10 n° 4 (April 2006)PermalinkAn empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data / T. Miura in Remote sensing of environment, vol 100 n° 2 (30 January 2006)PermalinkMulti-platform comparisons of MODIS and AVHRR normalized difference vegetation index data / K. Gallo in Remote sensing of environment, vol 99 n° 3 (30/11/2005)PermalinkAssessment of ASTER land cover and MODIS data at multiple scales for ecological characterization of an arid urban center / W.L. Stefanov in Remote sensing of environment, vol 99 n° 1-2 (15 November 2005)PermalinkEmissivity maps to retrieve land-surface temperature from MSG/SEVIRI / L.F. Peres in IEEE Transactions on geoscience and remote sensing, vol 43 n° 8 (August 2005)PermalinkPrototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data / D.P. Roy in Remote sensing of environment, vol 97 n° 2 (30/07/2005)PermalinkPredicting riparian evapotranspiration from MODIS vegetation indices and meteorological data / P. Nagler in Remote sensing of environment, vol 94 n° 1 (15/01/2005)PermalinkEnjeux écologiques et menace incendie / Y.E. Boyeau (2005)PermalinkRegional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. Houborg in Remote sensing of environment, vol 93 n° 1 (30/10/2004)PermalinkNighttime polar cloud detection with MODIS / Y. Liu in Remote sensing of environment, vol 92 n° 2 (15/08/2004)Permalink