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Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute / V.K. Boken in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2277 - 2286 Titre : Potential of using NOAA-AVHRR data for estimating irrigated area to help solve an inter-state water dispute Type de document : Article/Communication Auteurs : V.K. Boken, Auteur ; G. Hoogenboom, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2277 - 2286 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Alabama (Etats-Unis) [Termes IGN] analyse comparative [Termes IGN] cultures irriguées [Termes IGN] Floride (Etats-Unis) [Termes IGN] Géorgie (Etats-Unis) [Termes IGN] image NOAA-AVHRR [Termes IGN] irrigation [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] ressources en eau [Termes IGN] Vegetation Health Index Résumé : (Auteur) The states of Alabama, Florida and Georgia dispute the apportioning of water from rivers that originate in Georgia and flow through the other two states. Florida and Alabama often claim that Georgia uses more than its fair share of water. In order to address such a dispute, an estimation of the total amount of water used for irrigation by different crops is required. Current estimates of irrigated areas are subject to errors because they are based entirely on survey questionnaires. In this paper, the potential of Advanced Very High Resolution Radiometer (AVHRR) on-board the National Oceanic Space Administration (NOAA) satellites is examined for estimating irrigated area. Two indices, a widely used Normalized Difference Vegetation Index (NDVI) and a newer Vegetation Health Index (VHI), were regressed against irrigated area for 1986, 1989, 1992, 1995 and 2000 for selected regions in Georgia (Baker and Mitchell counties, and Seminole and Decatur counties). The average VHI during a period from the third week of February to the end of September was better related to irrigated area than the corresponding NDVI; R2 was above 0.80 as opposed to 0.49. It is concluded that the VHI, derived from three-channel AVHRR data, can be used to estimate irrigated area. By multiplying irrigated area with the application rate, the volume of irrigation used in a state can be determined, which can contribute to the solution of the water dispute. Numéro de notice : A2004-220 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618077 En ligne : https://doi.org/10.1080/01431160310001618077 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26747 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Mapping micro-urban heat islands using NOAA/AVHRR images and CORINE Land Cover : an application to coastal of Greece / M. Stathopoulou in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2301 - 2316 Titre : Mapping micro-urban heat islands using NOAA/AVHRR images and CORINE Land Cover : an application to coastal of Greece Type de document : Article/Communication Auteurs : M. Stathopoulou, Auteur ; C. Cartalis, Auteur ; Iphigenia Keramitsoglou, Auteur Année de publication : 2004 Article en page(s) : pp 2301 - 2316 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] cartographie thématique [Termes IGN] Corine Land Cover [Termes IGN] emissivité [Termes IGN] Grèce [Termes IGN] image NOAA-AVHRR [Termes IGN] milieu urbain [Termes IGN] rayonnement infrarouge thermique [Termes IGN] température au sol Résumé : (Auteur) Land Surface Temperature (LST) is a significant parameter for identifying micro-climatic changes, their spatial distribution and intensities in relation to the urban environment. In this study, LST is estimated using thermal infrared data as acquired by the Advanced Very High Resolution Radiometer (AVHRR) instrument onboard the National Oceanic and Atmospheric Administration (NOAA) satellite and by using a split window algorithm that is adjusted to account for the region of Greece. For the assignment of the surface emissivity, a new methodology based on the Coordination of Information on the Environment (CORINE) Land Cover database for Greece is used. The algorithm is applied to a night-time series of NOAA/AVHRR images of Greece in order to produce surface temperature maps of an enhanced spatial resolution of 250m for the cities of Thessaloniki, Patra, Volos and Iraklion, which are the most significant harbour cities of Greece. Results indicate the presence of urban heat islands (UHIs) in each case study, with highest temperatures detected along the coastal zone of the harbour cities resulting from denser urban fabric and road network as well as intense human activity. Numéro de notice : A2004-221 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618725 En ligne : https://doi.org/10.1080/01431160310001618725 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26748 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices / A.S. Rogers in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2317 - 2335 Titre : Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices Type de document : Article/Communication Auteurs : A.S. Rogers, Auteur ; M.S. Kearney, Auteur Année de publication : 2004 Article en page(s) : pp 2317 - 2335 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse des mélanges spectraux [Termes IGN] grande échelle [Termes IGN] image Landsat-TM [Termes IGN] interprétation automatique [Termes IGN] littoral [Termes IGN] marais [Termes IGN] méthode robuste [Termes IGN] réflectance [Termes IGN] sédiment [Termes IGN] signature spectrale [Termes IGN] zone humide Résumé : (Auteur) Evidence of the rapid losses of coastal marshes calls for the application of remote sensing data. Nonetheless, many features indicative of incipient marsh loss, such as widening of tidal creeks and formation of small ponds, are often not readily detectable at the nominal 30 a x 30 m resolution of Thematic Mapper (TM) imagery, the general source for conventional satellite sensor-based data on wetlands. Spectral mixture modelling, where the proportional representation of land cover types can be estimated within pixels, offers a potential solution to the problem of assessing initial indications of loss in coastal marshes. Nevertheless, the simple linear mixture models most commonly employed can be subject to significant errors when applied to marshes due to the considerable variety of soil/sediment types in these environments. A new method is presented here which not only successfully reduces the spectral variability of soils, but also in the other principal components of vegetation and water, to a three-endmember model for estimating their fractional representation in TM data. Fractional representations for these variables in this method yield more reliable results than those obtained from unmixing corrected reflectance data. Though unmixing individual scenes may still be best achieved by extensive ground-referencing and image analysis, this technique is a robust approach for large-scale, semi-automated processing of many scenes in investigations of marsh surface condition. Numéro de notice : A2004-222 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618103 En ligne : https://doi.org/10.1080/01431160310001618103 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26749 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Change detection techniques / Dong Lu in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2365 - 2407 Titre : Change detection techniques Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; P. Mausel, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2365 - 2407 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse en composantes principales [Termes IGN] capteur (télédétection) [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] détection de changement [Termes IGN] limite de résolution géométrique [Termes IGN] seuillage d'image [Termes IGN] système d'information géographique [Termes IGN] traitement d'image Résumé : (Auteur) Timely and accurate change detection of Earth's surface features is extremely important for understanding relationships and interactions between human and natural phenomena in order to promote better decision making. Remote sensing data are primary sources extensively used for change detection in recent decades. Many change detection techniques have been developed. This paper summarizes and reviews these techniques. Previous literature has shown that image differencing, principal component analysis and post-classification comparison are the most common methods used for change detection. In recent years, spectral mixture analysis, artificial neural networks and integration of geographical information system and remote sensing data have become important techniques for change detection applications. Different change detection algorithms have their own merits and no single approach is optimal and applicable to all cases. In practice, different algorithms are often compared to find the best change detection results for a specific application. Research of change detection techniques is still an active topic and new techniques are needed to effectively use the increasingly diverse and complex remotely sensed data available or projected to be soon available from satellite and airborne sensors. This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature. Numéro de notice : A2004-223 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000139863 En ligne : https://doi.org/10.1080/0143116031000139863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26750 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04101	RAB	Revue	Centre de documentation	En réserve L003	Disponible