{"product_id":"advances-in-remote-sensing-and-gis-analysis-isbn-9780471985778","title":"Advances in Remote Sensing and GIS Analysis","description":"An authoritative and state-of-the-art book bringing together some of the most recent developments in remote sensing and GIS analysis with a particular emphasis on mathematical techniques and their applications.\u003cbr\u003e \u003cbr\u003e With contributions from academia, industry and research institutes, all with a high standing, this book covers a range of techniques including: fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization, texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling.\u003cbr\u003e \u003cbr\u003e This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments, and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases, the mathematical basis is fully explained.Die wichtigsten und aktuellsten neuen Entwicklungen auf den Gebieten der Fernerkundung und der GIS-Analysen stellt dieser Band vor, wobei der Schwerpunkt auf den mathematischen Methoden und ihren Anwendungen - von der Kartierung von Schneefeldern und der Lufttemperatur bis zur Modellierung von Erosionsvorgängen - liegt. Themen sind beispielsweise neuronale Netze, Fraktale, Raster- und Vektordatenintegration sowie geostatistische Methoden. (07\/99)\u003cbr\u003e  Techniques for the Analysis of Spatial Data (P. Atkinson \u0026amp; N. Tate).\u003cbr\u003e \u003cbr\u003e Land Cover Classification Revisited (P. Mather).\u003cbr\u003e \u003cbr\u003e Image Classification with a Neural Network: From Completely-Crisp to Fully-Fuzzy Situations (G. Foody).\u003cbr\u003e \u003cbr\u003e Cloud Motion Analysis (H. Lewis, et al. ).\u003cbr\u003e \u003cbr\u003e Methods for Estimating Image Signal-to-Noise Ratio (SNR) (G. Smith \u0026amp; P. Curran).\u003cbr\u003e \u003cbr\u003e Modelling and Efficient Mapping of Snow Cover in the UK for Remote Sensing Validation (R. Kelly \u0026amp; P. Atkinson).\u003cbr\u003e \u003cbr\u003e Using Variograms to Evaluate a Model for the Spatial Prediction of Minimum Air Temperature (D. Cornford).\u003cbr\u003e \u003cbr\u003e Modelling the Distribution of Cover Fraction of a Geophysical Field (J. Collins \u0026amp; C. Woodcock).\u003cbr\u003e \u003cbr\u003e Classification of Digital Image Texture Using Variograms (J. Carr).\u003cbr\u003e \u003cbr\u003e Geostatistical Approaches for Image Classification and Assessment of Uncertainty in Geologic Processing (F. van der Meer).\u003cbr\u003e \u003cbr\u003e A Syntactic Pattern-Recognition Paradigm for the Derivation of Second-Order Thematic Information from Remotely Sensed Images (S. Barr \u0026amp; M. Barnsley).\u003cbr\u003e \u003cbr\u003e The Rôle of Classified Imagery in Urban Spatial Analysis (V. Mesev \u0026amp; P. Longley).\u003cbr\u003e \u003cbr\u003e Image Classification and Analysis Using Integrated GIS (J. Hinton).\u003cbr\u003e \u003cbr\u003e Per-Field Classification of Land Use Using the Forthcoming Very Fine Spatial Resolution Satellite Sensors: Problems and Potential Solutions (P. Aplin, et al. ).\u003cbr\u003e \u003cbr\u003e Modelling Soil Erosion at Global and Regional Scales Using Remote Sensing and GIS Techniques (N. Drake, et al. ).\u003cbr\u003e \u003cbr\u003e Extracting Information from Remotely Sensed and GIS Data (P. Atkinson \u0026amp; N. Tate).\u003cbr\u003e \u003cbr\u003e Index. \"This is an interesting and informative book ... a good, clearly written introduction to remote sensing and developments within it.\", Rich Harris, , Scientific Computing World#  \u003cp\u003ePeter M. Atkinson is the editor of Advances in Remote Sensing and GIS Analysis, published by Wiley. Nicholas Tate is the editor of Advances in Remote Sensing and GIS Analysis, published by Wiley.  Remote sensing and GIS are technologies for the new millennium. This book brings together some of the most recent developments in these complimentary fields, with a particular emphasis on mathematical techniques and their application. The range of techniques covered includes fuzzy classification, artificial neural networks, geostatistical techniques (such as kriging, cokriging, stochastic simulation and regularization), texture classification, fractals, per-parcel classification, raster and vector data integration and process modelling. The range of applications includes land cover and land use mapping, cloud tracking, snow cover mapping and air temperature monitoring, topographic mapping, geological classification and soil erosion modelling. This book will be valuable to both researchers and advanced students of remote sensing and GIS. It contains several new approaches, recent developments and novel applications of existing techniques. Most chapters report the results of experiment and investigation. Some chapters form broad reviews of recent developments in the field. In all cases the mathematical basis is explained fully.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988696711397,"sku":"NP9780471985778","price":292.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471985778.jpg?v=1761781233","url":"https:\/\/k12savings.com\/products\/advances-in-remote-sensing-and-gis-analysis-isbn-9780471985778","provider":"K12savings","version":"1.0","type":"link"}