Title:
Sustainable development using geospatial techniques
Author:
Thakur, Disha, editor.
ISBN:
9781394214426
9781394214402
Physical Description:
1 online resource (485 p.)
General Note:
4.5 Case Studies and Experiments Demonstrating the Integrity and Accuracy of Satellite Images Using Ethereum Blockchain Simulation
Contents:
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Development of a Two-Layer Meta-Classifier-Based Drought Stress Detection System for Wheat Crop Sustainability -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Background -- 1.4 Problem Formulation -- 1.5 Methodology for Drought/Water Stress Detection -- 1.5.1 Wheat Variety (V) -- 1.5.2 Chlorophyll Fluorescence Image Analysis (CFIA) -- 1.5.3 Feature Extraction and Selection -- 1.5.3.1 Gray-Level Co-Occurrence Matrix Texture Features -- 1.5.3.2 Color Features -- 1.5.3.3 Wheat Canopy Components
1.5.3.4 Wheat Canopy Landmark Features -- 1.5.4 Water Stress Detection in Wheat Crops -- 1.5.4.1 Results and Discussions -- 1.6 Application of Meta-Classifier-Based Detection for the Development of the Sustainable Model for Drought Detection -- 1.6.1 Meta-Machine Learning for Overcoming Agricultural Losses -- 1.6.1.1 Model Development (Meta-ML for Sustainable Agronomics: For Loss Reduction) -- 1.6.1.2 Effective Cost of Implementation -- 1.7 Conclusion -- References -- Chapter 2 Comparison of Geo-Statistical Techniques: A Study Based on Mapping Soil Properties for a Lower Himalayan Watershed
2.1 Introduction -- 2.2 Materials and Methods -- 2.2.1 Study Area -- 2.2.2 Field and Remotely Sensed Datasets -- 2.2.3 Soil Physical Property Identification -- 2.2.4 Nature of LULC and Elevation of the Catchment -- 2.2.5 Spatial Interpolation Methods -- 2.2.5.1 Inverse Distance Weighting (IDW) -- 2.2.5.2 Kriging -- 2.2.6 Statistical Criteria -- 2.3 Results and Discussion -- 2.3.1 Soil Moisture and Organic Content Distribution Dynamics in the Catchment -- 2.3.2 Spatial Interpolation Methods -- 2.4 Conclusion and Future Scope -- References
Chapter 3 Monitoring Crop Conditions of Punjab State Using Big Data Analytics -- 3.1 Introduction -- 3.2 Objectives -- 3.3 Study Area and Data -- 3.3.1 Study Area -- 3.3.2 Data -- 3.4 Methods -- 3.4.1 Preparing the MODIS EVI Dataset -- 3.4.2 Deviation -- 3.4.3 Masking the Non-Cropland Area -- 3.4.4 District-Wise Analysis -- 3.5 Results and Discussions -- 3.6 Conclusions -- References -- Chapter 4 An Investigation into Use of Ethereum Blockchain Technology to Validate the Reliability and Quality of Stored Satellite Images -- 4.1 Introduction -- 4.2 Literature Review
4.2.1 Satellite Imaging Technology -- 4.2.2 Current Technology Used and Its Drawbacks and Impact of Using Blockchain Systems -- 4.2.2.1 Drawbacks of Current Technology -- 4.2.3 Impact of Using Blockchain Systems -- 4.2.4 Blockchain Technology -- 4.2.5 Ethereum Blockchain -- 4.2.6 Satellite Image Integrity and Accuracy -- 4.2.7 Blockchain-Based Approaches for Satellite Image Safekeeping -- 4.3 Methodologies and Tools Used for Simulating the Ethereum Blockchain -- 4.4 Evaluation Metrics and Criteria for Assessing the Effectiveness of Ethereum Blockchain in Satellite Image Safekeeping
Abstract:
This book is a must-have for anyone interested in leveraging geospatial technology, as it covers a wide range of applications and offers valuable insights into the mapping, visualization, and analysis of natural resource planning using GIS, remote sensing, and GPS. Geospatial technology (GT) is a combination of geographic information systems (GIS), remote sensing (RS), and the global position system (GPS) for the mapping, visualization, and analysis of natural resource planning. Nowadays, GIS is widely used throughout the globe for a wide range of applications. GIS is a system that combines locations, geography, hardware, software, statistics, planning, and digital mapping. GIS is a system in which one can store, manipulate, analyze, and visualize or display spatial data. The basic components of GIS are hardware, software, data, input, and manpower. One can develop spatial, temporal, and dynamic models using GIS, which may help in effective decision-making tools. Geospatial information is a computer programme that collects, stores, verifies, and presents information on locations on the surface of the Earth. Geographical information systems play a key role in sustainable development. Geospatial technology combines traditional database operations like query and statistical analysis with the specific graphical and geographic analytical capabilities offered by maps.
Local Note:
John Wiley and Sons
Electronic Access:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394214426Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
|---|---|---|---|---|---|
Searching... | E-Book | 599414-1001 | G70.217 .G46 S87 2024 | Searching... | Searching... |