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Geographical information science : case studies in earth and environmental monitoring /

Geographic Information Systems: Case Studies in Environmental Monitoring provides detailed remote sensing and GIS methods, algorithms and technology comparisons focusing on a wide range of environmental applications. The geoinformation technologies are demonstrated through templated case studies det...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Petropoulos, George P. (Editor), Chalkias, Christos (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands ; Cambridge, MA, United States : Elsevier, [2024]
Subjects:
Earth sciences > Remote sensing.
Earth sciences > Data processing.
Sciences de la terre > Télédétection.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Geographical Information Science
  • Geographical Information Science: Case Studies in Earth and Environmental Monitoring
  • Copyright
  • Contents
  • List of contributors
  • Preface
  • 1
  • Natural environment
  • 1
  • Identification of geomorphic and morphotectonic features using geographic information system techniques
  • 1. Introduction
  • 2. Geomorphometry
  • 2.1 Relief classification
  • 2.1.1 Topographic position index
  • 2.1.2 Classification of relief according to Hammond and Dikau
  • 2.2 Lineament analysis
  • 3. Identification and mapping of landforms-specific geomorphometry
  • 3.1 Planation surfaces-inclined surfaces-morphological discontinuities
  • 3.2 Fluvial terraces
  • 3.3 Longitudinal profile analysis-knickpoints
  • 4. Morphometric indices of active tectonics
  • 4.1 Composite morphometric indices
  • 5. Conclusions
  • 6. Key takeaway and future research
  • References
  • 2
  • Monitoring snow by combining physical snow models and microwave remote sensing techniques: two case studies fro ...
  • 1. Introduction
  • 2. Materials and methods
  • 2.1 The study area
  • 2.1.1 Remote sensing observations
  • 2.1.2 In situ observations
  • 2.2 The models
  • 2.2.1 The physical snow model
  • 2.2.2 The microwave emission model
  • 2.2.3 The InSAR SWE retrieval model
  • 2.3 Case study A
  • 2.3.1 Setting up the synergy between SnowModel and MEMLS
  • 2.3.2 Identifying the challenges-setting up a sensitivity experiment
  • 2.4 Case study B
  • 3. Results and discussion
  • 3.1 Case study A
  • 3.1.1 Sensitivity experiment
  • 3.1.2 Proposing solutions to the challenges
  • 3.1.2.1 The look-up table
  • 3.1.2.2 The nudging method
  • 3.2 Case study B
  • 4. Conclusions
  • References
  • 3
  • Is there any pure nature left? A geospatial analysis approach of perceived landscape naturalness
  • 1. Introduction
  • 2. Materials and methods
  • 2.1 Naturalness categories, composite criteria, and data
  • 2.2 Estimating secondary variables and composite criteria
  • 2.3 Landscape naturalness index construction
  • 3. Results
  • 4. Validation
  • 5. Discussion
  • 6. Conclusions
  • References
  • 4
  • Spatiotemporal patterns of vegetation regeneration dynamics in a natural Mediterranean ecosystem using EO image ...
  • 1. Introduction
  • 2. Study area
  • 3. Datasets
  • 4. Methods
  • 4.1 Data preprocessing
  • 4.2 Burnt area detection
  • 4.3 Vegetation regeneration mapping
  • 5. Results
  • 5.1 Burn scar delineation
  • 5.2 Vegetation regeneration evaluation
  • 5.3 Regression analysis of regeneration dynamics
  • 5.4 Vegetation regeneration and topographic characteristics
  • 6. Discussion
  • 7. Conclusions
  • References
  • 5
  • Understanding and monitoring the dynamics of Arctic permafrost regions under climate change using Earth Observa ...
  • 1. Climate change and impacts
  • 2. Arctic and permafrost regions and climate change