Development of a Web Based Model to Process and Analyse Remotely Sensed Data Sets

P. [1-7] [7]

• Chapitres du même volume (disponibles individuellement)

  • Preface ; Acknowledgments
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  • Development of a Web Based Model to Process and Analyse Remotely Sensed Data Sets
  • Mesoscale Study of the Climatic Parameters in the Eastern Region of Paraguay
    Obtenir le chapitre
  • Estimation of Forest Canopy Gap Fraction Changes Through the Application of Terrestrial Laser Scanner and Hemispherical Photo Camera
    Obtenir le chapitre
  • Impacts of Climate Change on Soil Erosion within a Specific Area Investigated by the Ciomta Project
    Obtenir le chapitre
  • A Preliminary Evaluation of the Cropsyst Model for Sugarcane in the Southeast of Brazil
    Obtenir le chapitre
  • Estimation of Soil Moisture for the Valencia Anchor Station Region (VAS) by Using Temperature-Vegetation Dryness Index (TVDI) Obtained from Modis Satellite Images
    Obtenir le chapitre
  • Co2 Measurement and Data Processing in Order to Assess the Effect of Climate Change on Natural Ecosystems
    Obtenir le chapitre
  • Increasing the Quality of Data Sets for Studies of Climate Change in South America
    Obtenir le chapitre
  • The Study of Climate Change on the Hydrology of the Itaipu Hydropower Basin
    Obtenir le chapitre
  • Precipitation and Temperature Trend Evaluation in Paraguay Using Brams Model
    Obtenir le chapitre
  • Exploring Land Use in the Litoral Argentino, by Remote Sensing Techniques Applied to the Classification of Sac C Satelite Imagery
    Obtenir le chapitre
  • Determination and Analysis of the Standardized Precipitation Index (spi) as Drought Intensity Indicator for Paraguay
    Obtenir le chapitre
  • An Investigation of Variation in Vegetation Canopy with Hemispherical Photography and Satellite Data
    Obtenir le chapitre
  • Characterizing Drought Events in Cuiabá, Mt, Brazil, with Standard Precipitation (SPI)
    Obtenir le chapitre

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  Code DOI : 10.1400/116355

  Permalink: http://digital.casalini.it/10.1400/116355