Geocarto international . vol 27 n° 8Paru le : 01/12/2012 ISBN/ISSN/EAN : 1010-6049 |
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Ajouter le résultat dans votre panierEvaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States / R. Lemons in Geocarto international, vol 27 n° 8 (December 2012)
[article]
Titre : Evaluation of satellite-derived agro-climate variables in the Northern Great Plains of the United States Type de document : Article/Communication Auteurs : R. Lemons, Auteur ; A. Hewitt, Auteur ; G. Kharel, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 613 - 626 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] climat continental
[Termes IGN] données météorologiques
[Termes IGN] erreur systématique
[Termes IGN] Etats-Unis
[Termes IGN] humidité de l'air
[Termes IGN] image Aqua
[Termes IGN] plaine
[Termes IGN] précipitation
[Termes IGN] température au solRésumé : (Auteur) The climate of the United States Northern Great Plains region is highly variable. Modelling of agriculture in this region and similar locations depends on the availability and quality of satellite and ground data for agro-climate variables. We evaluated tropical rainfall measuring mission (TRMM) multi-satellite preparation analysis (TMPA) precipitation, atmospheric infrared sounder (AIRS) surface air temperature, and AIRS relative air humidity (RH). A significant bias was found within the temperature and RH products and no bias but an insufficient rain event detection skill in the precipitation product (probability of detection 0.3). A linear correction of the temperature product removed the bias as well as lowered the root mean square deviation (RMSD). The bias-corrections for RH led to increased RMSD or worse correlation. For precipitation, the correlation between the satellite product and ground data improved if cumulative precipitation or only precipitation during the growing season was used. Numéro de notice : A2012-549 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.653408 Date de publication en ligne : 01/02/2012 En ligne : https://doi.org/10.1080/10106049.2011.653408 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31995
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 613 - 626[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible The spatial prediction of tree species diversity in savanna woodlands of Southern Africa / G. Mutowo in Geocarto international, vol 27 n° 8 (December 2012)
[article]
Titre : The spatial prediction of tree species diversity in savanna woodlands of Southern Africa Type de document : Article/Communication Auteurs : G. Mutowo, Auteur ; Amon Murwira, Auteur Année de publication : 2012 Article en page(s) : pp 627 - 645 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] arbre (flore)
[Termes IGN] biodiversité
[Termes IGN] image Ikonos
[Termes IGN] image Terra-ASTER
[Termes IGN] indice de végétation
[Termes IGN] prédiction
[Termes IGN] radiance
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] régression linéaire
[Termes IGN] savane
[Termes IGN] ZimbabweRésumé : (Auteur) In this study, we tested the utility of remotely sensed data in predicting tree species diversity in savanna woodlands. Specifically, we developed linear regression functions based on a combination of the coefficient of variation of near infrared (NIR) radiance and the soil-adjusted vegetation index (SAVI), both derived from advanced space-borne thermal emission and reflection radiometer satellite imagery. Using the regression functions in a Geographic Information System (GIS), we predicted the spatial variations in tree species diversity. Our results showed that tree species diversity can be predicted using a combination of the coefficient of variation of NIR radiance and SAVI. We conclude that remotely sensed data can be used to spatially predict tree species diversity in savanna woodlands. Numéro de notice : A2012-550 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.662530 Date de publication en ligne : 29/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.662530 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31996
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 627 - 645[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Evaluation of the spatial changes in seagrass cover in the lagoons of Lakshadweep islands, India, using IRS LISS III satellite images / E.P. Nobi in Geocarto international, vol 27 n° 8 (December 2012)
[article]
Titre : Evaluation of the spatial changes in seagrass cover in the lagoons of Lakshadweep islands, India, using IRS LISS III satellite images Type de document : Article/Communication Auteurs : E.P. Nobi, Auteur ; T. Thangaradjou, Auteur Année de publication : 2012 Article en page(s) : pp 647 - 660 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] classification dirigée
[Termes IGN] détection de changement
[Termes IGN] herbier marin
[Termes IGN] image IRS-LISS
[Termes IGN] Inde
[Termes IGN] lagonRésumé : (Auteur) A study was conducted in Lakshadweep islands to determine the feasibility of using Indian Remote Sensing (IRS) satellites for detecting changes in the seagrass from other coastal features. IRS ID and IRS P6 LISS III having spatial resolution of 23.5 m with lower cost compared to all other contemporary satellites with the same spatial resolution have not been widely used for monitoring the changes in seagrass cover. In this context, the present study attempted to explore the effectiveness of LISS III data for mapping seagrasses and to inform the international community about the usefulness of these low-cost imageries for coastal resource monitoring. Supervised classification and change detection studies found a significant decrease in seagrass cover of 73.03 ha in the Lakshadweep group of islands. An overall accuracy of 67.5% was obtained for the change maps, and seagrass cover and its changes vary at different islands. Numéro de notice : A2012-551 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.665501 Date de publication en ligne : 02/04/2012 En ligne : https://doi.org/10.1080/10106049.2012.665501 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31997
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 647 - 660[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible Geographic information system–based morphometric characterization of sub-watersheds of Meenachil river basin, Kottayam district, Kerala, India / M. Vincy in Geocarto international, vol 27 n° 8 (December 2012)
[article]
Titre : Geographic information system–based morphometric characterization of sub-watersheds of Meenachil river basin, Kottayam district, Kerala, India Type de document : Article/Communication Auteurs : M. Vincy, Auteur ; B. Rajan, Auteur ; A. Pradeepkumar, Auteur Année de publication : 2012 Article en page(s) : pp 661 - 684 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] ArcGIS
[Termes IGN] bassin hydrographique
[Termes IGN] caractérisation
[Termes IGN] géomorphométrie
[Termes IGN] Kerala (Inde ; état)Résumé : (Auteur) The study areas Tikovil and Payppara sub-watersheds of Meenachil river cover 158.9 and 111.9 km2, respectively. These watersheds are parts of Western Ghats, which is an ecologically sensitive region. The drainage network of the sub-watersheds was delineated using SOI topographical maps on 1:50,000 scale using the Arc GIS software. The stream orders were calculated using the method proposed by Strahler's (1964). The drainage network shows that the terrain exhibits dendritic to sub-dendritic drainage pattern. Stream order ranges from the fifth to the sixth order. Drainage density varies between 1.69 and 2.62 km/km2. The drainage texture of the drainage basins are 2.3 km–1 and 6.98 km–1 and categorized as coarse to very fine texture. Stream frequency is low in the case of Payappara sub-watershed (1.78 km–2). Payappara sub-watershed has the highest constant of channel maintenance value of 0.59 indicating much fewer structural disturbances and fewer runoff conditions. The form factor value varies in between 0.42 and 0.55 suggesting elongated shape formed for Payappara sub-watershed and a rather more circular shape for Tikovil sub-watershed. The mean bifurcation ratio (3.5) indicates that both the sub-watersheds are within the natural stream system. Hence from the study it can be concluded that GIS techniques prove to be a competent tool in morphometric analysis. Numéro de notice : A2012-552 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657694 Date de publication en ligne : 15/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657694 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31998
in Geocarto international > vol 27 n° 8 (December 2012) . - pp 661 - 684[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2012081 RAB Revue Centre de documentation En réserve L003 Disponible