Sustainable Development Using Geospatial Techniques

Disha Thakur, Sanjay Kumar, Har Amrit Singh Sandhu, Chander Prakash

• Publisher: Wiley-Scrivener
• Year: 2024
• Print ISBN: 9781394214341
• eBook ISBN: 9781394214402
• Edition: 1
• Topic: Biological Sciences
• Subtopic: Ecology
• Index: Biological Sciences

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.

Table of 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
• Chapter 2 Comparison of Geo-Statistical Techniques: A Study Based on Mapping Soil Properties for a Lower Himalayan Watershed
• Chapter 3 Monitoring Crop Conditions of Punjab State Using Big Data Analytics
• Chapter 4 An Investigation into Use of Ethereum Blockchain Technology to Validate the Reliability and Quality of Stored Satellite Images
• Chapter 5 Urban Expansion and Traffic Congestion: A Geographical Study of Shimla
• Chapter 6 Landslide Susceptibility Analysis for Sustainable Development in the Indian Himalayas
• Chapter 7 Application of Geospatial Tools in Glacial Lake Outburst Floods: Mapping and Monitoring
• Chapter 8 Dynamic Coastal Flood Risk Assessment of a Coastal Island in West Bengal, India
• Chapter 9 A Review of Methods for Studying Glacier Dynamics Due to Climate Change in the Himalayas
• Chapter 10 Geospatial Techniques for Flash Flood Hazard Assessment and Management
• Chapter 11 Prediction of Water Hardness Using Machine Learning and Model Interpretation
• Chapter 12 Air Quality Mapping Using GIS for Kanpur City, India
• Chapter 13 Geospatial Modeling Approach and Characteristics Study of Graphene-Anchored Cu-Nanoferrites and Their Potential in Arsenic Containing Wastewater Treatment
• Chapter 14 Managing Construction and Demolition Waste Illegal Dumping through GIS: A Case Study of Urban Metropolitan
• Chapter 15 Assessment of Human Health Risk in Baitarani Basin, Odisha Using Water Quality Index (WQI), Cluster Analysis (CA), and Geographic Information Systems (GIS)
• Chapter 16 Drone Mapping for Agricultural Sustainability: Applications and Benefits
• Chapter 17 Advanced Use of Drones in Irrigation and Water Management
• Index
• Also of Interest
• EULA