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Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China / G.X. Zhao in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 13 (July 2004) . - pp 2509 - 2522 Titre : Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China Type de document : Article/Communication Auteurs : G.X. Zhao, Auteur ; G. Lin, Auteur Année de publication : 2004 Article en page(s) : pp 2509 - 2522 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] analyse diachronique [Termes IGN] Chine [Termes IGN] classification à base de connaissances [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] delta [Termes IGN] détection de changement [Termes IGN] développement durable [Termes IGN] Fleuve jaune (Chine) [Termes IGN] image Landsat-TM [Termes IGN] surface cultivée [Termes IGN] utilisation du sol Résumé : (Auteur) Preservation of cultivated land is one of China's four basic strategic policies. Timely land use monitoring is a prerequisite of cultivated land management and sustainable utilization. Using digital satellite remote sensing techniques, the intention is to develop a workable procedure for cultivated land change detection in the Yellow River delta region. Four detection methods were assessed. The assessment, in general, suggests that it is difficult to find a single efficient method for cultivated land change detection in the study area, where spectral confusion is widespread due to soil salinization and juxtaposed land use patterns. The knowledge-based visual change detection and classification-result overlay methods are more appropriate than the multi-temporal composite and classification, and image ratioing. The latter two methods are useful and efficient when remote sensing data acquired in the suitable season are available, and distinct spectral characteristics of different land use types exist. The results show that the area of cultivated land in this region decreased by 5321.8 ha over the period 1987 to 1998, i.e. 483.8ha every year, mainly concentrated in the central paddy field region and northeast dry land region. Numéro de notice : A2004-258 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001619571 En ligne : https://doi.org/10.1080/01431160310001619571 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26785 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04111	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Evaporing estimation in the Yellow River basin, China using integrated NDVI data / R. Sun in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 13 (July 2004) . - pp 2523 - 2534 Titre : Evaporing estimation in the Yellow River basin, China using integrated NDVI data Type de document : Article/Communication Auteurs : R. Sun, Auteur ; X. Gao, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2523 - 2534 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] bassin hydrographique [Termes IGN] Chine [Termes IGN] distribution spatiale [Termes IGN] évapotranspiration [Termes IGN] Fleuve jaune (Chine) [Termes IGN] humidité de l'air [Termes IGN] indice d'humidité [Termes IGN] Normalized Difference Vegetation Index [Termes IGN] production agricole [Termes IGN] ressources en eau [Termes IGN] sécheresse Résumé : (Auteur) It is important to estimate land surface evapotranspiration (ET) for water resources evaluation, drought monitoring and crop production simulation. In this paper, a relationship between annual ET, integrated Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) and Relative Moisture Index (RMI) was established. Based on this relationship, the spatial distribution and dynamic change of annual ET were estimated for the Yellow River Basin, China from 1982 to 2000. Our analyses involved the use of integrated NDVI data, monthly mean air temperature, and precipitation. Our results showed that the integrated AVHRR NDVI can be used to effectively estimate annual ET in the Yellow River Basin, with an accuracy over 90% for the whole basin. Numéro de notice : A2004-259 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116032000160471 En ligne : https://doi.org/10.1080/0143116032000160471 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26786 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04111	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Combining weather prediction and remote sensing data for the calculation of evapotranspiration rates: application to Denmark / E. Boegh in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 13 (July 2004) . - pp 2553 - 2574 Titre : Combining weather prediction and remote sensing data for the calculation of evapotranspiration rates: application to Denmark Type de document : Article/Communication Auteurs : E. Boegh, Auteur ; H. Soegaard, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2553 - 2574 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] correction atmosphérique [Termes IGN] Danemark [Termes IGN] erreur moyenne quadratique [Termes IGN] évapotranspiration [Termes IGN] humidité de l'air [Termes IGN] image NOAA-AVHRR [Termes IGN] prévision météorologique [Termes IGN] trajectographie (positionnement) Résumé : (Auteur) Evapotranspiration rates in Denmark were estimated using Advanced Very High Resolution Radiometer (AVHRR) satellite data and weather conditions predicted by a high-resolution weather forecast model (HIRLAM). The predictions were used both for atmospheric correction of satellite data and for remote sensing based calculation of net radiation, sensible heat fluxes and evapotranspiration rates. Climate predictions at 12 GMT were used as proxies for the atmospheric conditions at the time of the afternoon satellite passage (12.30-14.30 GMT). The air temperature at the time of the satellite passage was retrieved with a rms error of 1.9ºC, and the rms error of the retrieved air humidity was 204 Pa. The evapotranspiration results were significantly influenced by the spatial distribution of weather conditions. Due to the encirclement of Denmark by sea shorelines, sea breezes extending more than 30 km inland were responsible for the intrusion of cooler air temperatures which increased the sensible heat fluxes and suppressed the evapotranspiration rates. The predictions were linearly related to eddy-covariance flux measurements representing agricultural land, beech forest and conifer forest, but the relationships were also characterized by a large degree of scattering. The results are discussed in relation to inaccuracies and future perspectives. Numéro de notice : A2004-260 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001647984 En ligne : https://doi.org/10.1080/01431160310001647984 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26787 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04111	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Integrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney / S. Bhaskaran in International Journal of Remote Sensing IJRS, vol 25 n° 13 (July 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 13 (July 2004) . - pp 2625 - 2639 Titre : Integrating imaging spectroscopy (445-2543nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney Type de document : Article/Communication Auteurs : S. Bhaskaran, Auteur ; B. Datt, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2625 - 2639 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] classification spectrale [Termes IGN] correction d'image [Termes IGN] dommage matériel [Termes IGN] géoréférencement [Termes IGN] gestion de crise [Termes IGN] grêle [Termes IGN] habitat urbain [Termes IGN] image aérienne [Termes IGN] image hyperspectrale [Termes IGN] intégration de données [Termes IGN] précipitation [Termes IGN] réalité de terrain [Termes IGN] résistance des matériaux [Termes IGN] risque naturel [Termes IGN] Sydney (Nouvelle-Galles du Sud) [Termes IGN] système d'information géographique [Termes IGN] vulnérabilité Résumé : (Auteur) This paper demonstrates a methodology for the analysis and integration of airborne hyperspectral sensor data (445-2543nm) with GIS data in order to develop a vulnerability map which has the potential to assist in decision making during post-disaster emergency operations. Hailstorms pose a threat to people as well as property in Sydney, Australia. Emergency planning demands current, large-scale spatio-temporal information on urban areas that may be susceptible to hailstones. Several regions, dominated by less resistant roofing materials, have a higher vulnerability to hailstorm damage than others. Post-disaster operations must focus on allocating dynamic resources to these areas. Remote sensing data, particularly airborne hyperspectral sensor data, consist of spectral bands with narrow bandwidths, and have the potential to quantify and distinguish between urban features such as roofing materials and other man-made features. A spectral library of surface materials from urban areas was created by using a full range spectroradiometer. The image was atmospherically corrected using the empirical line method. A spectral angle mapper (SAM) method, which is an automated method for comparing image spectra to laboratory spectra, was used to develop a classification map that shows the distribution of roofing materials with different resistances to hailstones. Surface truthing yielded high percentage accuracy. Spatial overlay technique was performed in a GIS environment where several types of cartographic data such as special hazard locations, population density, data about less mobile people and the street network were overlaid on the classified geo-referenced hyperspectral image. The integrated database product, which merges high quality spectral information and cartographic GIS data, has vast potential to assist emergency organizations, city planners and decision makers in formulating plans and strategies for resource management. Numéro de notice : A2004-261 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001642331 En ligne : https://doi.org/10.1080/01431160310001642331 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26788 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04111	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt