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Auteur X. Li |
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Towards an operational system for regional-scale rice yield estimation using a time-series of Radarsat ScanSAR images / Y. Li in International Journal of Remote Sensing IJRS, vol 24 n° 21 (November 2003)
[article]
Titre : Towards an operational system for regional-scale rice yield estimation using a time-series of Radarsat ScanSAR images Type de document : Article/Communication Auteurs : Y. Li, Auteur ; Q. Liao, Auteur ; X. Li, Auteur ; et al., Auteur Année de publication : 2003 Article en page(s) : pp 4207 - 4220 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Chine
[Termes IGN] cultures
[Termes IGN] image Radarsat
[Termes IGN] Oryza (genre)
[Termes IGN] production agricole
[Termes IGN] rendement agricole
[Termes IGN] surveillance agricoleRésumé : (Auteur) This paper demonstrates that Radarsat ScanSAR data can be an important data source of' radar remote sensing for monitoring crop systems and estimation of rice yield in large areas in tropical and sub-tropical regions. Experiments were carried out to show the effectiveness of Radarsat ScanSAR data for rice yield estimation in the whole province of Guangdong, South China. A methodology was developed to deal with a series of issues in extracting rice information from the ScanSAR data, such as topographic influences, levels of agro-management, irregular distribution of paddy fields and different rice cropping systems. A model was provided for rice yield estimation based on the relationship between the backscatter coefficient of multi-temporal SAR data and the biomass of rice. The study indicates that the whole procedure can become a low-cost and convenient operational system for large-scale rice yield estimation which is difficult for conventional methods. Numéro de notice : A2003-306 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000095970 En ligne : https://doi.org/10.1080/0143116031000095970 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22602
in International Journal of Remote Sensing IJRS > vol 24 n° 21 (November 2003) . - pp 4207 - 4220[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-03211 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning / A.G. Yeh in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
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Titre : Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning Type de document : Article/Communication Auteurs : A.G. Yeh, Auteur ; X. Li, Auteur Année de publication : 2003 Article en page(s) : pp 1043 - 1052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] automate cellulaire
[Termes IGN] Chine
[Termes IGN] planification urbaine
[Termes IGN] réseau neuronal artificiel
[Termes IGN] simulation
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This study integrates neural networks and cellular automata (CA) to simulate development alternatives for planning purposes. Most of the existing CA just focus on simulating realistic urban dynamics. This paper demonstrates that development alternatives can be simulated by incorporating planning objectives in CA. It is important to define appropriate parameter values for simulating development alternatives according to the planning objectives of planners and decision makers. Training neural networks can automatically yield the parameter values for urban simulation. GIS and remote sensing provide the training data for calibrating the model. However, the simulation can inherit past land-use problems if the original training data are used to calibrate the model. The original data should be assessed and modified so that the model can remember the past "failure" in land development. Planning objectives can thus be embedded in the model by properly modifying the training data sets. The training is robust because it is based on the well-defined back-propagation algorithm. Experiments were carried out by using the city of Dongguan, China as an example to test the model. Numéro de notice : A2003-234 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.1043 En ligne : https://doi.org/10.14358/PERS.69.9.1043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22529
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1043 - 1052[article]Neural-network-based cellular automata for simulating multiple land use changes using GIS / X. Li in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)
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Titre : Neural-network-based cellular automata for simulating multiple land use changes using GIS Type de document : Article/Communication Auteurs : X. Li, Auteur ; A. Gar-On Yeh, Auteur Année de publication : 2002 Article en page(s) : pp 323 - 343 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] automate cellulaire
[Termes IGN] Chine
[Termes IGN] croissance urbaine
[Termes IGN] modèle de simulation
[Termes IGN] réseau neuronal artificiel
[Termes IGN] système d'information géographique
[Termes IGN] utilisation du solRésumé : (Auteur) This paper presents a new method to simulate the evolution of multiple land uses based on the integration of neural networks and cellular automata using GIS. Simulation of multiple land use changes using cellular automata (CA) is difficult because numerous spatial variables and parameters have to be utilized. Conventional CA models have problems in defining simulation parameter values, transition rules and model structures. In this paper, a three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses. The model involves iterative looping of the neural network to simulate gradual land use conversion processes. Spatial variables are not deterministic because they are dynamically updated at the end of each loop. A GIS is used to obtain site attributes and training data, and to provide spatial functions for constructing the neural network. The parameter values for modelling are automatically generated by the training procedure of neural networks. The model has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China. Numéro de notice : A2002-160 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810210137004 En ligne : https://doi.org/10.1080/13658810210137004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22075
in International journal of geographical information science IJGIS > vol 16 n° 4 (june 2002) . - pp 323 - 343[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-02041 RAB Revue Centre de documentation En réserve L003 Disponible Urban simulation using principal components analysis and cellular automata for land-use planning / X. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 4 (April 2002)
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Titre : Urban simulation using principal components analysis and cellular automata for land-use planning Type de document : Article/Communication Auteurs : X. Li, Auteur ; A.G. Yeh, Auteur Année de publication : 2002 Article en page(s) : pp 341 - 351 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] analyse en composantes principales
[Termes IGN] analyse multicritère
[Termes IGN] automate cellulaire
[Termes IGN] modèle de simulation
[Termes IGN] planification urbaineRésumé : (Auteur) This paper discusses the integration of cellular automata (CA), principal components analysis, and GIS techniques in simulating alternative urban growth patterns for landuse planning. The simulation of actual cities usually involves multicriteria evaluation (MCE) in tackling the problems of complex spatial factors. Spatial factors often exhibit a high degree of correlation which is considered an undesirable property for MCE. It is difficult to determine the weights when many spatial variables are involved. This study uses principal components analysis (PCA) to remove data redundancy among a large set of spatial variables and determine the "ideal point" for land development. The simulation is based on transition rules that are related to the neighborhood function and similarity between cells and the "ideal point." Principal components analysis helps to deal with a large data set of spatial variables for the implementation of the CA model. Numéro de notice : A2002-066 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2002journal/april/2002_apr_341-351 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21982
in Photogrammetric Engineering & Remote Sensing, PERS > vol 68 n° 4 (April 2002) . - pp 341 - 351[article]Modelling sustainable urban development by the integration of constrained cellular automata and GIS / X. Li in International journal of geographical information science IJGIS, vol 14 n° 2 (march 2000)
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Titre : Modelling sustainable urban development by the integration of constrained cellular automata and GIS Type de document : Article/Communication Auteurs : X. Li, Auteur ; A.G. Yeh, Auteur Année de publication : 2000 Article en page(s) : pp 131 - 152 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Systèmes d'information géographique
[Termes IGN] automate cellulaire
[Termes IGN] croissance urbaine
[Termes IGN] développement durable
[Termes IGN] modèle de simulation
[Termes IGN] planification urbaine
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Cellular Automata (CA) have attracted growing attention in urban simulation because their capability in spatial modelling is not fully developed in GIS. This paper discusses how cellular automata (CA) can be extended and integrated with GIS to help planners to search for better urban forms for sustainable development. The cellular automata model is built within a grid-GIS system to facilitate easy access to GIS databases for constructing the constraints. The essence of the model is that constraint space is used to regulate cellular space. Local, regional and global constraints play important roles in affecting modelling results. In addition, 'grey' cells are defined to represent the degrees or percentages of urban land development during the iterations of modelling for more accurate results. The model can be easily controlled by the parameter k using a power transformation function for calculating the constraint scores. It can be used as a useful planning tool to test the effects of different urban development scenarios. Numéro de notice : A2000-236 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.1080/136588100240886 En ligne : https://doi.org/10.1080/136588100240886 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21651
in International journal of geographical information science IJGIS > vol 14 n° 2 (march 2000) . - pp 131 - 152[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-00021 RAB Revue Centre de documentation En réserve L003 Disponible