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Discriminant analysis for lodging severity classification in wheat using RADARSAT-2 and Sentinel-1 data / Sugandh Chauhan in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 164 (June 2020) . - pp 138 - 151 Titre : Discriminant analysis for lodging severity classification in wheat using RADARSAT-2 and Sentinel-1 data Type de document : Article/Communication Auteurs : Sugandh Chauhan, Auteur ; Roshanak Darvishzadeh, Auteur ; Mirco Boschetti, Auteur ; Andrew Nelson, Auteur Année de publication : 2020 Article en page(s) : pp 138 - 151 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agrégation de données [Termes IGN] analyse diachronique [Termes IGN] analyse discriminante [Termes IGN] blé (céréale) [Termes IGN] courbure [Termes IGN] gestion prévisionnelle [Termes IGN] image Radarsat [Termes IGN] image Sentinel-SAR [Termes IGN] Italie [Termes IGN] matrice de confusion [Termes IGN] méthode des moindres carrés [Termes IGN] rendement agricole [Termes IGN] surveillance agricole Résumé : (auteur) Crop lodging - the bending of crop stems from their upright position or the failure of root-soil anchorage systems - is a major yield-reducing factor in wheat and causes deterioration of grain quality. The severity of lodging can be measured by a lodging score (LS)- an index calculated from the crop angle of inclination (CAI) and crop lodged area (LA). LS is difficult and time consuming to measure manually meaning that information on lodging occurrence and severity is limited and sparse. Remote sensing-based estimates of LS can provide more timely, synoptic and reliable information on crop lodging across vast areas. This information could improve estimates of crop yield losses, inform insurance loss adjusters and influence management decisions for subsequent seasons. This research - conducted in the 600 ha wheat sown area in the Bonifiche Ferraresi farm, located in Jolanda di Savoia, Ferrara, Italy - evaluated the performance of RADARSAT-2 and Sentinel-1 data to discriminate and classify lodging severity based on field measured LS. We measured temporal crop status characteristics related to lodging (e.g. lodged area, CAI, crop height) and collected relevant meteorological data (wind speed and rainfall) throughout May-June 2018. These field measurements were used to distinguish healthy (He) wheat from lodged wheat with different degrees of lodging severity (moderate, severe and very severe). We acquired multi-incidence angle (FQ8-27° and FQ21-41°) RADARSAT-2 and Sentinel-1 (40°) images and derived multiple metrics from them to discriminate and classify lodging severity. As a part of our data exploration, we performed a correlation analysis between the image-based metrics and LS. Next, a multi-temporal discriminant analysis approach, including a partial least squares (PLS-DA) method, was developed to classify lodging severities. We used the area under the curve-receiver operating characteristics (AUC-ROC) and confusion matrices to evaluate the accuracy of the PLS-DA classification models. Results show that (1) volume scattering components were highly correlated with LS at low incidence angles while double and surface scattering was more prevalent at high incidence angles; (2) lodging severity was best classified using low incidence angle R-FQ8 data (overall accuracy 72%) and (3) the Sentinel-1 data-based classification model was able to correctly identify 60% of the lodging severity cases in the study site. The results from this first study on classifying lodging severity using satellite-based SAR platforms suggests that SAR-based metrics can capture a substantial proportion of the observed variation in lodging severity, which is important in the context of operational crop lodging assessment in particular, and sustainable agriculture in general. Numéro de notice : A2020-276 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2020.04.012 Date de publication en ligne : 29/04/2020 En ligne : https://doi.org/10.1016/j.isprsjprs.2020.04.012 Format de la ressource électronique : url article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95087 [article]

Exemplaires(3)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
081-2020061	RAB	Revue	Centre de documentation	En réserve L003	Disponible
081-2020063	DEP-RECP	Revue	LASTIG	Dépôt en unité	Exclu du prêt
081-2020062	DEP-RECF	Revue	Nancy	Dépôt en unité	Exclu du prêt

A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy / Yan Zhou in Transactions in GIS, Vol 23 n° 5 (October 2019)  

Public [article]  inTransactions in GIS > Vol 23 n° 5 (October 2019) . - pp 1125 - 1151 Titre : A reliable traffic prediction approach for bike‐sharing system by exploiting rich information with temporal link prediction strategy Type de document : Article/Communication Auteurs : Yan Zhou, Auteur ; Yanxi Li, Auteur ; Qing Zhu, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 1125 - 1151 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] analyse de groupement [Termes IGN] analyse spatio-temporelle [Termes IGN] bicyclette [Termes IGN] données météorologiques [Termes IGN] gestion prévisionnelle [Termes IGN] New York (Etats-Unis ; ville) [Termes IGN] regroupement de données [Termes IGN] SOLAP [Termes IGN] trafic routier [Termes IGN] Washington D.C. Résumé : (auteur) Bike‐sharing systems have been widely used in major cities across the world. As bike borrowing and return at different stations in different periods are not balanced, the bikes in a bike‐sharing system need to be redistributed frequently to rebalance the system. Therefore, traffic flow forecasting of the bike‐sharing system is an important issue, as this is conducive to achieving rebalancing of the bike system. In this article, we present a new traffic flow prediction approach based on the temporal links in dynamic traffic flow networks. A station clustering algorithm is first introduced to cluster stations into groups. A temporal link prediction method based on the dynamic traffic flow network method (STW+M) is then proposed to predict the traffic flow between stations. In our method, the non‐negative tensor decomposition and time‐series analysis model capture the rich information (temporal variabilities, spatial characteristics, and weather information) of the across‐clusters transition. Then, a temporal link prediction strategy is used to forecast potential links and weights in the traffic flow network by investigating both the network structure and the results of tensor computations. In order to assess the methods proposed in this article, we have used the data of bike‐sharing systems in New York and Washington, DC to conduct bike traffic prediction and the experimental results have shown that our method produces the lowest root mean square error (RMSE) and mean square error (MSE). Compared to four prediction methods from the literature, our RMSE and MSE of the two datasets have been lowered by an average of 2.55 (Washington, DC) and 2.41 (New York) and 3.35 (Washington, DC) and 2.96 (New York), respectively. The results show that the proposed approach improves predictions of traffic flow. Numéro de notice : A2019-551 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12560 Date de publication en ligne : 03/07/2019 En ligne : https://doi.org/10.1111/tgis.12560 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94201 [article]

Measurement of surface changes in a scaled-down landslide model using high-speed stereo image sequences / Tiantian Feng in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 7 (juillet 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 7 (juillet 2016) . - pp 547 - 557 Titre : Measurement of surface changes in a scaled-down landslide model using high-speed stereo image sequences Type de document : Article/Communication Auteurs : Tiantian Feng, Auteur ; Huan Mi, Auteur ; Marco Scaioni, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 547 - 557 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] cartographie d'urgence [Termes IGN] Chine [Termes IGN] détection de changement [Termes IGN] effondrement de terrain [Termes IGN] gestion prévisionnelle [Termes IGN] modèle de simulation [Termes IGN] modèle stéréoscopique [Termes IGN] photogrammétrie métrologique [Termes IGN] séquence d'images [Termes IGN] surveillance géologique [Termes IGN] vitesse Résumé : (Auteur) Construction of scaled-down landslide models is an important means for landslide study. The objective of this study is to develop an innovative non-contact photogrammetric system to meet the challenge for monitoring the fast surface deformation of a laboratory-simulated landslide, which can detect pre-failure events and the final failure, provide sectional and overall surface deformation patterns, and generate speed maps during the rapid slope failure. We proposed an event detector based on altered surface features in the slower SLRC (single-lensreflex camera) image sequence to detect pre-failure events, while a combined analysis tool used the surface velocity fields and deformation areas based on fast HSCS (high-speed stereocamera system) stereo image sequences to reveal fast-changing landslide behavior during the short final failure. The introduced surface change detector uses the percentage of sliding block areas, percentage of changed features, and average speeds. It successfully detected four pre-failure local collapse events and the final slope failure; the extent of surface changes reached its maximum to accumulate energy 1.5 seconds before the failure when the average speed of changed features achieved its peak of 0.8 m/s. The developed system achieved a position accuracy of 3.8 mm and a speed accuracy of 0.11 m/s. The analysis result demonstrated a time period of 66 minutes before the failure which is confirmed by significant signals from both imaging and contact sensors and is important for landslide early warning. A field implementation scheme in western China will be designed and realized in the near future. Numéro de notice : A2016-516 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.7.547 En ligne : http://dx.doi.org/10.14358/PERS.82.7.547 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81587 [article]

Integrating risk preferences in forest harvest scheduling / Kyle J. Eyvindson in Annals of Forest Science, vol 73 n° 2 (June 2016)  

Public [article]  inAnnals of Forest Science > vol 73 n° 2 (June 2016) . - pp 321 - 330 Titre : Integrating risk preferences in forest harvest scheduling Type de document : Article/Communication Auteurs : Kyle J. Eyvindson, Auteur ; Annika S. Kangas, Auteur Année de publication : 2016 Article en page(s) : pp 321 - 330 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] gestion [Termes IGN] gestion prévisionnelle [Termes IGN] planification [Termes IGN] production agricole végétale [Termes IGN] programmation stochastique [Termes IGN] risque environnemental [Termes IGN] sylviculture Résumé : (auteur) Key message: Through a stochastic programming framework, risk preferences can be included in forest planning. The value of utilizing stochastic programming is always positive; however, the value depends on the information quality and risk preferences of the decision maker. Context: Harvest scheduling requires decisions be taken based on imperfect information and assumptions regarding the future state of the forest and markets. Aims: The aim of this study is to incorporate elements of risk management into forest management, so that the decision maker can understand the risks associated with utilizing the imperfect data. Methods: Incorporation of uncertainty is done through stochastic programming. This allows for the decision maker’s attitude towards risk to be incorporated into the development of a solution. By means of a simple even-flow problem formulation, a method of using stochastic programming to incorporate explicit trade-off between objective function value and risk of not meeting the constraints has been developed. Results: The different models highlight the importance of including uncertainty in management of forest resources. In general, as the decision maker becomes more risk averse, the incorporation of uncertainty into the model becomes more important. Conclusions: The use of stochastic programming allows for additional information to be included in the formulation, and this allows for the decision maker to account for downside risk. Numéro de notice : A2016-351 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0517-2 Date de publication en ligne : 11/09/2015 En ligne : https://doi.org/10.1007/s13595-015-0517-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81061 [article]

Les nouveaux enjeux des gestionnaires [Dossier réseaux & SIG] / Fanny Perrin d'Arloz in SIGmag, n° 7 (décembre 2015)

Public [article]  inSIGmag > n° 7 (décembre 2015) . - pp 22 - 30 Titre : Les nouveaux enjeux des gestionnaires [Dossier réseaux & SIG] Type de document : Article/Communication Auteurs : Fanny Perrin d'Arloz, Auteur ; Hubert d' Erceville, Auteur ; Xavier Fodor, Auteur Année de publication : 2015 Article en page(s) : pp 22 - 30 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] gestion d'équipements [Termes IGN] gestion prévisionnelle [Termes IGN] infrastructure française des données localisées [Termes IGN] référentiel géographique [Termes IGN] réseau informatique [Termes IGN] réseau technique urbain [Termes IGN] système d'information géographique Résumé : (Auteur) Au-delà de la supervision des équipements et du suivi des travaux à mener selon une réglementation de plus en plus exigeante, les gestionnaires de réseaux exploitent des facettes inédites de leur SIG. Plus que jamais la géomatique se place au coeur de leur process. Numéro de notice : A2015-810 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79049 [article]

Exemplaires(2)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
147-2015071	RAB	Revue	Centre de documentation	En réserve L003	Disponible
147-2015072	RAB	Revue	Centre de documentation	En réserve L003	Disponible

A Swedish case study on the prediction of detailed product recovery from individual stem profiles based on airborne laser scanning / Andreas Barth in Annals of Forest Science, vol 72 n° 1 (January 2015)  

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Les indicateurs de gestion durable des forêts françaises [édition 2005] / Inventaire forestier national (1958 - 2011) (2006) 

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Littoral 2004, 7th International Symposium, delivering sustainable coasts : Connecting science and policy, Aberdeen, 20th-22th September 2004, 1. Volume 1 / D.R. Green (2004)

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Littoral 2004, 7th International Symposium, delivering sustainable coasts : Connecting science and policy, Aberdeen, 20th-22th September 2004, 2. Volume 2 / D.R. Green (2004)

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Gestion du patrimoine et SIG : le bon ménage / Françoise de Blomac in SIG la lettre, n° 40 (octobre 2002)

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A data model for multi-dimensional transportation applications / N. Koncz in International journal of geographical information science IJGIS, vol 16 n° 6 (september 2002)  

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Application of remote sensing to agricultural production forecasting / A. Berg (1981)

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