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Improvement of countrywide vegetation mapping over Japan and comparison to existing maps / Ram C. Sharma in Advances in Remote Sensing, vol 7 n° 3 (September 2018)  

Public [article]  inAdvances in Remote Sensing > vol 7 n° 3 (September 2018) . - pp 163 - 170 Titre : Improvement of countrywide vegetation mapping over Japan and comparison to existing maps Type de document : Article/Communication Auteurs : Ram C. Sharma, Auteur ; Keitarou Hara, Auteur ; Hidetake Hirayama, Auteur Année de publication : 2018 Article en page(s) : pp 163 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] image Terra-MODIS [Termes IGN] Japon [Termes IGN] occupation du sol Résumé : (Auteur) This paper presents an improved classification and mapping of vegetation types for all of Japan by utilizing the Moderate-resolution Imaging Spectroradiometer (MODIS) data. The Nadir BRDF-Adjusted Reflectance (MCD43A4 product) data were compared to the conventional Surface Reflectance (MOD09A1/MOY09A1 products) data for the classification of vegetation types: evergreen coniferous forest, evergreen broadleaf forest, deciduous coniferous forest, deciduous broadleaf forest, shrubs, herbaceous, arable; and non-vegetation. Very rich spectral and temporal features were prepared from MCD43A4 and MOD09A1/MOY09A1 products. Random Forests classifier was employed for the classification of vegetation types with the support of ground truth data prepared in the research. Accuracy metrics—confusion matrix, overall accuracy, and kappa coefficient calculated through 10-fold cross-validation approach—were used for quantitative comparison of MCD43A4 and MOD09A1/MOY09A1 products. The cross-validation results indicated better performance of the MCD43A4 (Overall accuracy = 0.73; Kappa coefficient = 0.69) product than conventional MOD09A1/MOY09A1 products (Overall accuracy = 0.70; Kappa coefficient = 0.66) for the classification. McNemar’s test was also used to confirm a significant difference (p-value = 0.0003) between MCD43A4 and MOD09A1/MOY09A1 products. Based on these results, by utilizing the MCD43A4 features, a new vegetation map was produced for all of Japan. The newly produced map showed better accuracy than the extant, MODIS Land Cover Type product (MCD12Q1) and Global Land Cover by National Mapping Organizations (GLCNMO) product in Japan. Numéro de notice : A2018-618 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.4236/ars.2018.73011 Date de publication en ligne : 05/09/2018 En ligne : https://doi.org/10.4236/ars.2018.73011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92849 [article]

Landsat imagery for mapping saline soils and wet lands in north-west India / Ram C. Sharma in International Journal of Remote Sensing IJRS, vol 9 n° 1 (January 1988)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 9 n° 1 (January 1988) . - pp 39 - 44 Titre : Landsat imagery for mapping saline soils and wet lands in north-west India Type de document : Article/Communication Auteurs : Ram C. Sharma, Auteur ; G.P. Bhargava, Auteur Année de publication : 1988 Article en page(s) : pp 39 - 44 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] carte pédologique [Termes IGN] drainage [Termes IGN] humidité du sol [Termes IGN] image Landsat-MSS [Termes IGN] Inde [Termes IGN] irrigation [Termes IGN] marais [Termes IGN] sol salin Numéro de notice : A1988-003 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431168808954835 En ligne : https://doi.org/10.1080/01431168808954835 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=24582 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-88011	RAB	Revue	Centre de documentation	En réserve L003	Disponible