Environmental Modelling with GIS and Remoter Sen... - Japan Search model RDF

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Environmental Modelling with GIS and Remoter Sensing

description of https://jpsearch.go.jp/data/rih06-oE00339
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schema:name"Environmental Modelling with GIS and Remoter Sensing" @ja
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schema:contributor<https://jpsearch.go.jp/entity/ncname/Andrew_Skidmore> ( "Andrew Skidmore")
schema:dateCreated"2002"
schema:description 2"内容記述: 1. Introduction: 1.1. The challenge; 1.2. Motivation to write this book; 1.3. What is environmental modelling and how can GIS and remote sensing help in environmental modelling; 1.4. Contents of the book; 1.5. References; 2. Taxonomy of environmental models in the spatial sciences: 2.1. Introduction; 2.2. Taxonomy of models; 2.3. Models of logic: 2.3.1. Deductive models; 2.3.2. Inductive models; 2.3.3. Discussion; 2.4. Deterministic models: 2.4.1. Empirical models; 2.4.2. Knowledge driven models; 2.4.3. Process driven models; 2.5. Stochastic models; 2.6. Conclusion; 2.7. References; 3. New environmental remote sensing systems: 3.1. Introduction; 3.2. High spatial resolution sensors: 3.2.1. Historical overview; 3.2.2. Overview sensors; 3.2.3. IRS-1C and IRS-1D; 3.2.4. KVR-1000; 3.2.5. OrbView-3; 3.2.6. Ikonos; 3.2.7. QuickBird; 3.2.8. Eros; 3.2.9. Applications and perspectives; 3.3. High Spectral resolution satellites: 3.3.1. Historical overview; 3.3.2. Overview hyperspectral imaging sensors; 3.3.3. Applications and perspectives; 3.4. High temporal resolution satellites: 3.4.1. Low spatial resolution satellite system with high revisiting time; 3.4.2. Medium spatial resolution satellite systems with high revisiting time; 3.5. Radar: 3.5.1. Historical overview; 3.5.2. Overview of sensors; 3.5.3. Applications and perspectives; 3.6. Other systems: 3.6.1. Altimetry; 3.6.2. Scatterometers / Spectrometers; 3.6.3. Lidar; 3.7. Internet sources: 3.7.1. High spatial resolution satellite systems; 3.7.2. High spectral resolution satellite systems; 3.7.3. High temporal resolution satellite systems; 3.7.4. RADAR satellite systems; 3.7.5. General source of information; 3.8. References; 4. Geographic data for environmental modelling and assessment: 4.1. Introduction; 4.2. Land-atmosphere interaction modelling; 4.3. Ecosystems process modelling; 4.4. Hydrologic modelling; 4.5. Dynamic biosphere modelling; 4.6. Data access; 4.7. Global databases: 4.7.1. Multiple-theme global databases; 4.7.2. Heritage global land cover databases; 4.7.3. Global land cover from satellite data; 4.7.4. Topographic data; 4.7.5. Soils data; 4.7.6. Global population; 4.7.7. Satellite data; 4.8. Sub-global scale databases: 4.8.1. Regional land cover mapping; 4.8.2. Topographic databases; 4.8.3. Administrative and census data; 4.8.4. Data clearinghouses; 4.9. The role of the end-user in the USGS global land cover characterization project; 4.10. Summary; 4.11. References; 5. The biosphere: a global perspective: 5.1. Introduction; 5.2. Historic overview; 5.3. Landsat based regional studies: 5.3.1. The Large Area Crop Inventory Program; 5.3.2. Tropical deforestation and habitat fragmentation; 5.4. AVHRR based regional and global studies: 5.4.1. Sources of interference; 5.4.2. Desert margin studies; 5.4.3. Monitoring Desert Locus habitats; 5..4.4. Land cover classification; 5.4.5. ENSO; 5.5. Wild fire detection; 5.6. Discussion; 5.7. References; 6. Vegetation mapping and monitoring: 6.1. Introduction; 6.2. Vegetation mapping: 6.2.1. Historical overview; 6.2.2. Multispectral data and image classification; 6.2.3. Vegetation mapping, ancillary data and GIS; 6.2.4. Use of spatial and temporal patterns; 6.2.5. New kinds of imagery; 6.2.6. Accuracy assessment; 6.3. Monitoring vegetation change: 6.3.1. Monitoring vegetation condition and health; 6.3.2. Vegetation conversion and change; 6.4. Concluding comments; 6.5. References; 7. Application of remote sensing and geographic information systems in wildlife mapping and modeling: 7.1. Introduction; 7.2. Wildlife conservation and reserve management; 7.3. Mapping wildlife distribution; 7.4. Mapping wildlife resource requirements; 7.5. Mapping and modelling habitat suitability for wildlife: 7.5.1. Habitats and habitat maps; 7.5.2. Mapping suitability for wildlife; 7..5.3. Accuracy of suitability maps; 7.5.4. Factors influencing wildlife distribution; 7.6. Modelling species-environment relationships: 7.6.1. Static versus dynamic models; 7.6.2. Transferability of species - environment models; 7.7. Innovative mapping of wildlife and its physical environment; 7.8. Conclusions; 7.9. References; 8. Biodiversity mapping and modeling: 8.1. Context; 8.2. Definitions; 8.3. Key issues; 8.4. Mobilizing the data: 8.4.1. attribute selection; 8.4.2. Sampling design; 8.4.3. Data capture; 8.4.4. Standards and quality assurance;; 8.4.5. Data custodianship and access; 8.4.6. Data mining and harmonization; 8.5. Tools and techniques: 8.5.1. Database management; 8.5.2. Demographic information systems; 8.5.3. Distribution mapping tools; 8.5.4. Environmental domain analysis; 8.5.5. Environmental assessment and decision support; 8.6. Display and communication; 8.7. Future developments; 8.8. References and information resources; 8.9. Tools and technologies; 9. Approaches to spatially distributed hydrological modelling in a GIS environment: 9.1. Basic hydrological processes and modelling approaches: 9.1.1. The hydrological cycle; 9.1.2. Modelling approaches; 9.2. Data for spatially distributed hydrological modelling: 9.2.1. Vegetation; 9.2.2. Modelling vegetation growth; 9.2.3. Topography; 9.2.4. Soil; 9.2.5. Climate; 9.3. The Land surface - atmosphere interface: 9.3.1. Estimation of potential evaporation; 9.3.2. Estimation of actual evaporation and evapotranspiration; 9.4. The distribution of surface flow in digital elevation models: 9.4.1. Estimation of topographic form for 'undisturbed' surface facets; 9.5. Estimation of subsurface flow: 9.5.1. Estimation of subsurface unsaturated flow; 9.5.2. Estimation of subsurface saturated flow; 9.6. Summary; 9.7. References; 10. Remote sensing and geographic information systems for natural disaster management: 10.1. Introduction; 10.2. Disaster management; 10.3. Remote sensing and GIS: tools in disaster management: 10.3.1. Introduction; 10.3.2. Application levels at different scales; 10.4. Examples of the use of GIS and remote sensing in hazard assessment: 10.4.1. Floods; 10.4.2. Earthquakes; 10.4.3. Volcanic eruptions; 10.4.4. Landslides; 10.4.5. Fires; 10.4.6. Cyclones; 10.4.7. Environmental hazards; 10..5. Conclusions; 10.6. References; 11. Land use planning and environmental impact assessment using geographic information systems: 11.1. Introduction; 11.2. GIS in land use planning activities; 11.3. Sources and types of spatial data sets: 11.3.1. Land topography; 11.3.2. Soils; 11.3.3. Land use/cover; 11.4. Land evaluation methods: 11.4.1. Conventional approaches; 11.4.2. Quantitative approaches; 11.4.3. Site suitability analysis; 11.4.4. Standard land evaluation systems; 11.5. Land use planning activities at regional and global scales; 11.6. Availability and distribution of spatial data sets; 11.7. Reliability of GIS-based land use planning results; 11.8. Summary and conclusions; 11.9. References; 12. Environmental modelling: issues and discussion: 12.1. Introduction; 12.2. Geo-information related questions in environmental management; 12.3. Problems raised by the participants: 12.3.1. Data problems; 12.3.2. Modelling problems; 12.3.3. GIS and remote sensing technology problems; 12.3.4. Expertise problems; 12.4. Proposed solutions for problems by participants: 12.4.1. Data solutions; 12.4.2. Modelling solutions; 12.4.3. GIS and RS technology solutions; 12.4.4. Expertise solutions; 12.4.5. General Solutions; 12.5. Reflection; 12.6. References....(more)"
schema:description"公開者: London, UK & New York, NY, USA"
schema:publisher<https://jpsearch.go.jp/entity/ncname/Taylor___Francis> ( "Taylor & Francis")
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schema:spatial<https://jpsearch.go.jp/entity/place/イギリス>
schema:temporal<https://jpsearch.go.jp/entity/time/2002> ( "2002年")
24 triples ()
24 triples