{"title":"Evaluation of the Suitability of Urban Construction Land—A Case Study of Hudai Town","authors":"一帆 秦","doi":"10.12677/ulu.2019.71001","DOIUrl":"https://doi.org/10.12677/ulu.2019.71001","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91281809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ontology for National Land Use/Land Cover Map: Poland Case Study","authors":"M. Luc, E. Bielecka","doi":"10.1201/b18746-3","DOIUrl":"https://doi.org/10.1201/b18746-3","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73320372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-08DOI: 10.1201/9781351228596-11
D. Varanka, E. L. Usery
Surface water land cover plays a major role in a range of geographic studies, including climate cycles, landform generation, and human natural resource use settlement. Extensive surface water data resources exist from geographic information systems (GIS), remote sensing, and real-time hydrologic monitoring technologies. An applied ontology for surface water was designed to create an information framework to relate data in disparate formats. The objective for this project was to test whether concepts derived from a GIS hydrographic data model based on cartographic relational table attribute data can be formalized for semantic technology and to examine what differences are evident using the ontology for database semantic specification. The surface water ontology (SWO) was initially derived from the National Hydrography Dataset (NHD) GIS data model. The hypothesis was that ontology semantics can be consistent with a long-term empirically collected database. An automated conversion of classes and properties was then manually refined with the support of an upper ontology. The results were tested for reliable class associations, inferred information, and queries using SPARQL Protocol and RDF Query Language (SPARQL). The ontology reflects studies of the physical environment, the objectives of the supporting institution, the reuse of GIS, and the adaptation of semantic technology. The results contribute to the development of an ontology model that leverages large data volumes with information user access.
{"title":"An Applied Ontology for Semantics Associated with Surface Water Features","authors":"D. Varanka, E. L. Usery","doi":"10.1201/9781351228596-11","DOIUrl":"https://doi.org/10.1201/9781351228596-11","url":null,"abstract":"Surface water land cover plays a major role in a range of geographic studies, including climate cycles, landform generation, and human natural resource use settlement. Extensive surface water data resources exist from geographic information systems (GIS), remote sensing, and real-time hydrologic monitoring technologies. An applied ontology for surface water was designed to create an information framework to relate data in disparate formats. The objective for this project was to test whether concepts derived from a GIS hydrographic data model based on cartographic relational table attribute data can be formalized for semantic technology and to examine what differences are evident using the ontology for database semantic specification. The surface water ontology (SWO) was initially derived from the National Hydrography Dataset (NHD) GIS data model. The hypothesis was that ontology semantics can be consistent with a long-term empirically collected database. An automated conversion of classes and properties was then manually refined with the support of an upper ontology. The results were tested for reliable class associations, inferred information, and queries using SPARQL Protocol and RDF Query Language (SPARQL). The ontology reflects studies of the physical environment, the objectives of the supporting institution, the reuse of GIS, and the adaptation of semantic technology. The results contribute to the development of an ontology model that leverages large data volumes with information user access.","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89711879","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of land cover and land use descriptions varies, and this influences how these concepts are perceived in different contexts. The increasing need for spatial data for multipurpose monitoring and modeling also increases the demands for compatibility, repeatability, detail, and well-documented criteria. We suggest that threshold values along a continuous scale can be used to create nominal classes for a common conceptual framework. However, the exact values of these thresholds need to be based on well-defined functional and systematic criteria. Ecological and environmental gradients are often mosaic and complex, and several types of land use may coexist at the same site. In reality, land use can be seen as a “shifting cloud” of activities varying in both time and space. We advocate the use of strict definitions of land cover as physical structures and land use as human activities, which raises the need for a complementary concept, which we call “land type,” with stable threshold values based on mutually exclusive functional criteria. Such functional criteria often put clear limits to what spatial resolution is appropriate, since the suitability for a certain purpose (e.g., agriculture or forestry) is determined by the user of the land, rather than by the independent observer. Our example of land type categories comprises a two-level hierarchical classification with seven main types and altogether 28 subtypes. As an example, we discuss the overlapping Swedish definitions of forest and arable land. The criteria that define our main land types are less dependent on how the area is managed at a specific moment in time, and they are therefore less sensitive to short-term variation. The land types define the limits for what land cover and land use can be expected at a certain site, given, for example, ground conditions, water, or artificial structures. Since such land types need to incorporate functional and qualitative understanding and interpretation, human visual interpretation is needed, whereas automated remote sensing methods are suitable mainly for the structural aspects of land cover.
{"title":"Land Type Categories as a Complement to Land Use and Land Cover Attributes in Landscape Mapping and Monitoring","authors":"A. Glimskär, H. Skånes","doi":"10.1201/b18746-9","DOIUrl":"https://doi.org/10.1201/b18746-9","url":null,"abstract":"The purpose of land cover and land use descriptions varies, and this influences how these concepts are perceived in different contexts. The increasing need for spatial data for multipurpose monitoring and modeling also increases the demands for compatibility, repeatability, detail, and well-documented criteria. We suggest that threshold values along a continuous scale can be used to create nominal classes for a common conceptual framework. However, the exact values of these thresholds need to be based on well-defined functional and systematic criteria. Ecological and environmental gradients are often mosaic and complex, and several types of land use may coexist at the same site. In reality, land use can be seen as a “shifting cloud” of activities varying in both time and space. We advocate the use of strict definitions of land cover as physical structures and land use as human activities, which raises the need for a complementary concept, which we call “land type,” with stable threshold values based on mutually exclusive functional criteria. Such functional criteria often put clear limits to what spatial resolution is appropriate, since the suitability for a certain purpose (e.g., agriculture or forestry) is determined by the user of the land, rather than by the independent observer. Our example of land type categories comprises a two-level hierarchical classification with seven main types and altogether 28 subtypes. As an example, we discuss the overlapping Swedish definitions of forest and arable land. The criteria that define our main land types are less dependent on how the area is managed at a specific moment in time, and they are therefore less sensitive to short-term variation. The land types define the limits for what land cover and land use can be expected at a certain site, given, for example, ground conditions, water, or artificial structures. Since such land types need to incorporate functional and qualitative understanding and interpretation, human visual interpretation is needed, whereas automated remote sensing methods are suitable mainly for the structural aspects of land cover.","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84851695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-08DOI: 10.1201/9781351228596-17
Kevin A. Sparks, A. Klippel, J. O. Wallgrün, D. Mark
"If every object and event in the world were taken as distinct and unique-a thing in itself unrelated to anything else-our perception of the world would disintegrate into complete meaninglessness. The purpose of classification is to give order to the thing we experience." Of all the countless possible ways of dividing entities of the world into categories, why do members of a culture use some groupings and not use others? What is it about the nature of the human mind and the way that it interacts with the nature of the world that gives rise to the categories that are used?-Malt 1995
{"title":"Crowdsourcing Landscape Perceptions to Validate Land Cover Classifications","authors":"Kevin A. Sparks, A. Klippel, J. O. Wallgrün, D. Mark","doi":"10.1201/9781351228596-17","DOIUrl":"https://doi.org/10.1201/9781351228596-17","url":null,"abstract":"\"If every object and event in the world were taken as distinct and unique-a thing in itself unrelated to anything else-our perception of the world would disintegrate into complete meaninglessness. The purpose of classification is to give order to the thing we experience.\" Of all the countless possible ways of dividing entities of the world into categories, why do members of a culture use some groupings and not use others? What is it about the nature of the human mind and the way that it interacts with the nature of the world that gives rise to the categories that are used?-Malt 1995","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86406938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-08DOI: 10.1201/9781351228596-16
O. Ahlqvist, D. Varanka, S. Fritz, K. Janowicz
{"title":"Resolving Semantic Heterogeneities in Land Use and Land Cover","authors":"O. Ahlqvist, D. Varanka, S. Fritz, K. Janowicz","doi":"10.1201/9781351228596-16","DOIUrl":"https://doi.org/10.1201/9781351228596-16","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83003910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-08DOI: 10.1201/9781351228596-15
D. Wim, M. Pavel
Most land cover mapping initiatives have been biased towards optimized data capture and cartographic quality. Interoperability of the resulting data has proven difficult due to the semantic ambiguity embedded in the classification and methodology of each initiative, which often does not correctly reflect and account for the complexity and specificity of the landscape under observation. This chapter describes how the tegon concept can model land cover as a real world phenomenon. Tegons are instances of the elementary physical components behind any existing mapping unit or legend class, expressed in the Land Cover Meta Language, specified in ISO 19144-2. Two large scale examples from an agricultural context show how the concept has been used for demarcating the land cover universe of discourse and for harmonization efforts. The tegon concept was developed by the Monitoring of Agriculture ResourceS (MARS) Unit of the Joint Research Centre of the European Commission and first applied during 2010 quality assessment of the Land Parcel Identification Systems (LPIS). This exercise required a full description of the European agriculture land cover types of all Member States (MS), based on the FAO Land Cover Classification System (LCCS). Later, its application has been expanded towards cross-border land monitoring initiatives, such as the project SPATIAL involving Bulgaria and Romania, where the tegon concept became the key methodological instrument for the land cover inventory and spatial data harmonization to cover the entire crossborder area representing a major part of Lower Danube Basin. Both application experiences demonstrate the high potential of the concept, in particular for addressing complex land cover phenomena and for insuring interoperability between existing classifications and their data sets. This potential is most evident at large scale data. Automation of the tegon modeling will be required to verify the claim of exhaustiveness and universality at these scales. Application of tegon conceptualization during the inception of new classifications or data sets should introduce the correct semantics in those initiatives. However, as tegon modeling in itself does not address the limitations of current data capture methodologies, impact for ongoing inventories will be limited to improving semantic interoperability. URI: Authors: DEVOS Wim MILENOV Pavel Publication Year: 2015 Publisher: CRC Press ISBN: 9781482237399 Citation: Land Use and Land Cover Semantics Principles, Best Practices and Prospects p. 243-270 Source URL: https://ec.europa.eu/jrc/en/publication/applying-tegon-elementary-physical-land-cover-feature-data-interoperability
{"title":"Applying Tegon, the Elementary Physical Land Cover Feature, for Data Interoperability","authors":"D. Wim, M. Pavel","doi":"10.1201/9781351228596-15","DOIUrl":"https://doi.org/10.1201/9781351228596-15","url":null,"abstract":"Most land cover mapping initiatives have been biased towards optimized data capture and cartographic quality. Interoperability of the resulting data has proven difficult due to the semantic ambiguity embedded in the classification and methodology of each initiative, which often does not correctly reflect and account for the complexity and specificity of the landscape under observation. This chapter describes how the tegon concept can model land cover as a real world phenomenon. Tegons are instances of the elementary physical components behind any existing mapping unit or legend class, expressed in the Land Cover Meta Language, specified in ISO 19144-2. Two large scale examples from an agricultural context show how the concept has been used for demarcating the land cover universe of discourse and for harmonization efforts. The tegon concept was developed by the Monitoring of Agriculture ResourceS (MARS) Unit of the Joint Research Centre of the European Commission and first applied during 2010 quality assessment of the Land Parcel Identification Systems (LPIS). This exercise required a full description of the European agriculture land cover types of all Member States (MS), based on the FAO Land Cover Classification System (LCCS). Later, its application has been expanded towards cross-border land monitoring initiatives, such as the project SPATIAL involving Bulgaria and Romania, where the tegon concept became the key methodological instrument for the land cover inventory and spatial data harmonization to cover the entire crossborder area representing a major part of Lower Danube Basin. Both application experiences demonstrate the high potential of the concept, in particular for addressing complex land cover phenomena and for insuring interoperability between existing classifications and their data sets. This potential is most evident at large scale data. Automation of the tegon modeling will be required to verify the claim of exhaustiveness and universality at these scales. Application of tegon conceptualization during the inception of new classifications or data sets should introduce the correct semantics in those initiatives. However, as tegon modeling in itself does not address the limitations of current data capture methodologies, impact for ongoing inventories will be limited to improving semantic interoperability. URI: Authors: DEVOS Wim MILENOV Pavel Publication Year: 2015 Publisher: CRC Press ISBN: 9781482237399 Citation: Land Use and Land Cover Semantics Principles, Best Practices and Prospects p. 243-270 Source URL: https://ec.europa.eu/jrc/en/publication/applying-tegon-elementary-physical-land-cover-feature-data-interoperability","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74157381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Need for Awareness of Semantic Plasticity in International Harmonization of Geographical Information: Seen from a Nordic Forest Classification Perspective","authors":"","doi":"10.1201/9781351228596-7","DOIUrl":"https://doi.org/10.1201/9781351228596-7","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"90 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89499717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Land Use/Land Cover Classification Systems and Their Relationship to Land Planning","authors":"O. Ahlqvist, D. Varanka, S. Fritz, K. Janowicz","doi":"10.1201/9781351228596-5","DOIUrl":"https://doi.org/10.1201/9781351228596-5","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87216054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Eliciting and Formalizing the Intricate Semantics of Land Use and Land Cover Class Definitions","authors":"O. Ahlqvist, D. Varanka, S. Fritz, K. Janowicz","doi":"10.1201/9781351228596-9","DOIUrl":"https://doi.org/10.1201/9781351228596-9","url":null,"abstract":"","PeriodicalId":61997,"journal":{"name":"城镇化与集约用地","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76666812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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