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Automated annual cropland mapping using knowledge-based temporal features / François Waldner in ISPRS Journal of photogrammetry and remote sensing, vol 110 (December 2015)
[article]
Titre : Automated annual cropland mapping using knowledge-based temporal features Type de document : Article/Communication Auteurs : François Waldner, Auteur ; Guadalupe Sepulcre Canto, Auteur ; Pierre Defourny, Auteur Année de publication : 2015 Article en page(s) : pp 1 – 13 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Argentine
[Termes IGN] Belgique
[Termes IGN] carte agricole
[Termes IGN] carte d'occupation du sol
[Termes IGN] Chine
[Termes IGN] classification dirigée
[Termes IGN] cultures
[Termes IGN] série temporelle
[Termes IGN] surveillance agricole
[Termes IGN] UkraineRésumé : (auteur) Global, timely, accurate and cost-effective cropland mapping is a prerequisite for reliable crop condition monitoring. This article presented a simple and comprehensive methodology capable to meet the requirements of operational cropland mapping by proposing (1) five knowledge-based temporal features that remain stable over time, (2) a cleaning method that discards misleading pixels from a baseline land cover map and (3) a classifier that delivers high accuracy cropland maps (>>80%). This was demonstrated over four contrasted agrosystems in Argentina, Belgium, China and Ukraine. It was found that the quality and accuracy of the baseline impact more the certainty of the classification rather than the classification output itself. In addition, it was shown that interpolation of the knowledge-based features increases the stability of the classifier allowing for its re-use from year to year without recalibration. Hence, the method shows potential for application at larger scale as well as for delivering cropland map in near real time. Numéro de notice : A2015-889 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2015.09.013 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2015.09.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79438
in ISPRS Journal of photogrammetry and remote sensing > vol 110 (December 2015) . - pp 1 – 13[article]Note technique : note sur l’utilisation du logiciel CROP-VGT appliqué aux images NDVI du capteur SPOT-Végétation / Natacha Volto in Photo interprétation, European journal of applied remote sensing, vol 51 n° 1 (janvier 2015)
[article]
Titre : Note technique : note sur l’utilisation du logiciel CROP-VGT appliqué aux images NDVI du capteur SPOT-Végétation Type de document : Article/Communication Auteurs : Natacha Volto, Auteur Année de publication : 2015 Article en page(s) : pp 28 -33 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] Afrique (géographie physique)
[Termes IGN] image SPOT-Végétation
[Termes IGN] logiciel de photo-interprétation
[Termes IGN] surveillance agricoleRésumé : (auteur) On décrit l’utilisation du logiciel CROP-VGT, mis au point par S. Griguolo, Université de Venise, Italie et plus particulièrement l’automatisation de la procédure pour extraire des sous-images à partir des données NDVI de SPOT-VEGETATION sur le continent africain. Des scripts Python ont été réalisés pour contrôler la procédure et faciliter l’utilisation du logiciel WINDISP pour un traitement ultérieur des données extraites. Numéro de notice : A2015--075 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83761
in Photo interprétation, European journal of applied remote sensing > vol 51 n° 1 (janvier 2015) . - pp 28 -33[article]Annual crop type classification of the US great plains for 2000 to 20011 / Daniel M. Howard in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 6 (June 2014)
[article]
Titre : Annual crop type classification of the US great plains for 2000 to 20011 Type de document : Article/Communication Auteurs : Daniel M. Howard, Auteur ; Bruce K. Wyllie, Auteur Année de publication : 2014 Article en page(s) : pp 537 - 549 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] classification à base de connaissances
[Termes IGN] climatologie
[Termes IGN] culture
[Termes IGN] environnement
[Termes IGN] modèle de géopotentiel
[Termes IGN] Normalized Difference Vegetation Index
[Termes IGN] surveillance agricoleRésumé : (Auteur) The purpose of this study was to increase the spatial and temporal availability of crop classification data. In this study, nearly 16.2 million crop observation points were used in the training of the US Great Plains classification tree crop type model (CTM). Each observation point was further defined by weekly Normalized Difference Vegetation Index, annual climate, and a number of other biogeophysical environmental characteristics. This study accounted for the most prevalent crop types in the region, including, corn, soybeans, winter wheat, spring wheat, cotton, sorghum, and alfalfa. Annual CTM crop maps of the US Great Plains were created for 2000 to 2011 at a spatial resolution of 250 meters. The CTM achieved an 87 percent classification success rate on 1.8 million obser-vation points that were withheld from model training. Product validation was performed on greater than 15,000 county records with a coefficient of determination of R2 = 0.76. Numéro de notice : A2014-293 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.6.537-549 En ligne : https://doi.org/10.14358/PERS.80.6.537-549 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33196
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 6 (June 2014) . - pp 537 - 549[article]Monitoring agricultural soil sealing in peri-urban areas using remote sensing / Shiliang Su in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 4 (April 2014)
[article]
Titre : Monitoring agricultural soil sealing in peri-urban areas using remote sensing Type de document : Article/Communication Auteurs : Shiliang Su, Auteur ; Rui Xiao, Auteur ; Yuan Zhang, Auteur Année de publication : 2014 Article en page(s) : pp 367 - 372 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] croissance urbaine
[Termes IGN] image aérienne
[Termes IGN] impact sur l'environnement
[Termes IGN] occupation du sol
[Termes IGN] périphérie urbaine
[Termes IGN] revêtement
[Termes IGN] Shanghai (Chine)
[Termes IGN] surface cultivée
[Termes IGN] surface imperméable
[Termes IGN] surveillance agricole
[Termes IGN] urbanisationRésumé : (Auteur) Soil degradation by expansion-driven sealing increases at an unexpected rate globally, but the dynamics of agricultural soil sealing in peri-urban areas remain poorly understood. This study used aerial photographs to monitor patterns of built-up land expansion and subsequent agricultural soil sealing between 1994 and 2006 in peri-urban areas of Shanghai, China. Results indicated that a total of 152,706.5 ha of agricultural soils were sealed. In particular, residential land and industrial land were the major contributors. Buffer analysis demonstrated that agricultural soils with high proximity to roads and urban centers are more vulnerable to be sealed. Percentage of sealed agricultural soils of total agricultural soils had linear relationships with population growth and economic development. These results quantitatively document the impacts of urbanization on agricultural soil sealing. From a management perspective, we argue that the protection of agricultural soils should be integrated with urban planning efforts in China. Numéro de notice : A2014-211 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.80.4.367 En ligne : https://doi.org/10.14358/PERS.80.4.367 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33114
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 4 (April 2014) . - pp 367 - 372[article]Tread lightly / Penelope Richardson in GEO: Geoconnexion international, vol 13 n° 3 (march 2014)
[article]
Titre : Tread lightly Type de document : Article/Communication Auteurs : Penelope Richardson, Auteur Année de publication : 2014 Article en page(s) : pp 37 - 39 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] développement durable
[Termes IGN] écologie
[Termes IGN] surveillance agricole
[Termes IGN] télédétection spatialeRésumé : (Auteur) The global challenge for the future is how to have less impact on the land While supporting the sustainability and improving living conditions. Penelope Richardson asks how eco-friendly farming techniques can be verified so that they give farmers positive economic benefits in the marketplace. Numéro de notice : A2014-099 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33004
in GEO: Geoconnexion international > vol 13 n° 3 (march 2014) . - pp 37 - 39[article]Réservation
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