As an Amazon Associate we earn from qualifying purchases.
Introduction to Remote Sensing
This widely used introductory text explains how Earth observation works, from the physics of electromagnetic energy to how satellites and aircraft collect information about land, water, and the atmosphere. It walks readers through common sensor types, image characteristics, and the practical steps behind interpreting satellite imagery for real-world use. The book also connects remote sensing to environmental monitoring, agriculture, forestry, urban growth, and disaster response, making it a solid foundation for understanding how modern geospatial analysis turns pixels into decisions.
Remote Sensing and Image Interpretation
Designed as a core reference for satellite imagery interpretation, this book explains how remotely sensed images are formed, how they are corrected and enhanced, and how analysts extract meaning from patterns, tone, texture, and spectral behavior. It provides a practical view of how remote sensing supports mapping, land cover classification, change detection, and applied Earth observation in resource management. Readers gain a clear sense of how imagery moves from raw data to defensible conclusions, including the role of accuracy assessment and interpretation workflows.
Remote Sensing of the Environment: An Earth Resource Perspective
This book connects Earth observation technology to the needs of environmental and resource decision-making. It explains major satellite sensor families and the kinds of measurements they enable, then shows how those measurements support applications such as vegetation monitoring, water and coastal analysis, geology, hazards, and weather-related studies. The writing emphasizes how to select data that matches the problem, how to interpret results responsibly, and how to understand tradeoffs in spatial resolution, revisit time, and spectral information – core concepts for anyone learning satellite imagery for practical use.
Remote Sensing Digital Image Analysis: An Introduction
Focused on the step-by-step logic of turning imagery into measurable information, this book explains key digital image processing methods used in Earth observation and geospatial analysis. Topics include preprocessing, enhancement, classification, feature extraction, and the role of statistics in interpreting satellite imagery. It helps readers understand what software is doing under the hood when it filters noise, separates land cover types, or detects changes over time. The result is a clearer mental model of how analysts convert remote sensing data into maps and quantified environmental indicators.
Fundamentals of Satellite Remote Sensing: An Environmental Approach
This book presents satellite-based Earth observation through the lens of environmental monitoring, linking sensor capabilities to real measurement needs such as vegetation condition, land surface temperature, wildfire effects, drought signals, and land use change. It explains how satellites observe the planet at scale, why certain bands are used for certain problems, and how time series analysis supports change detection and long-term monitoring. Readers also gain context on integrating remote sensing outputs with GIS workflows, supporting a modern, applied understanding of geospatial analysis.
Introduction to Satellite Remote Sensing: Atmosphere, Ocean, Land and Cryosphere Applications
This book is organized around how Earth observation is applied across major Earth systems: the atmosphere, oceans, land, and ice. It explains what satellites measure in each domain, what products are derived from those measurements, and how analysts interpret results in contexts like storms, sea surface conditions, land processes, and polar monitoring. The coverage gives readers a unified view of remote sensing across disciplines, showing how one set of satellite principles supports many applications – an effective way to understand why Earth observation is central to climate and environmental analysis.
Satellite Remote Sensing and the Management of Natural Resources
Written with management and decision support in mind, this book connects satellite imagery to practical conservation and resource governance questions. It explains how Earth observation supports habitat monitoring, protected area assessment, land cover change detection, and evidence-based planning. It also addresses the organizational side of remote sensing – how data becomes operational in agencies and projects, and how uncertainty, scale, and measurement choices affect decisions. For readers interested in environmental monitoring and policy-relevant geospatial analysis, it provides a grounded bridge between science outputs and real resource management needs.
Satellite Remote Sensing for Conservation Action
Structured around case studies, this edited volume shows how satellite imagery is used in practical conservation work across terrestrial and aquatic ecosystems. It demonstrates how remote sensing supports tasks such as mapping habitats, tracking change, monitoring human pressures, and evaluating outcomes over time. The case-driven format helps readers see the full workflow: selecting suitable satellite data, translating imagery into indicators, and using results to guide decisions. It is a useful read for understanding how Earth observation moves from analysis to action in real conservation and environmental monitoring settings.
Hyperspectral Remote Sensing: Principles and Applications
Hyperspectral imaging captures many narrow spectral bands, enabling detailed material identification that standard multispectral imagery cannot always provide. This book explains that concept in practical terms, covering how hyperspectral data is collected, processed, and interpreted, and why it supports applications like mineral mapping, vegetation health assessment, and water quality studies. Readers learn how spectral signatures and atmospheric effects shape what sensors record, and why calibration and analysis choices matter. It offers a focused view of a major Earth observation capability used in both research and operational monitoring.
Earthwatch: The Climate from Space
This book presents climate understanding through the perspective of space-based observation, explaining what satellites reveal about Earth’s energy balance, atmospheric composition, clouds, and large-scale climate behavior. It clarifies why remote sensing is essential for monitoring global systems that cannot be fully measured from the ground alone, and it provides context on how measurement strategies evolved with satellite programs. Readers interested in climate observation and the role of satellite imagery in environmental monitoring will find a coherent narrative linking measurement physics to climate-relevant interpretation.
