Remote Sensing Monitoring Of Land Surface Temperature Lst

This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.

This book provides a step-by-step guide on how to use various publicly available remotely sensed time series data sources for environmental monitoring and assessment. Readers will learn how to extract valuable information on global changes from a 20-year collection of ready-to-use remotely sensed data through the free open statistical software R and its geographic data analysis and modeling tools. The case studies are from the Mediterranean region—a designated hot spot regarding climate change effects. Each chapter is dedicated to specific remote sensing products chosen for their spatial resolution. The methods used are adapted from large-scale to smaller-scale problems for different land cover areas. Features Includes real-world applications of environmental remotely sensed data Analyzes the advantages and restrictions of each data source Focuses on a wide spectrum of applications, such as hydrology, vegetation changes, land surface temperature, fire detection, and impacts Includes R computer codes with explanatory comments and all applications use only freely available remotely sensed data Presents a step-by-step processing through open source GIS and statistical analysis software Advanced Environmental Monitoring with Remote Sensing Time Series Data and R describes and provides details on recent advances concerning publicly available remotely sensed time series data in environmental monitoring and assessment. This book is a must-have practical guide for environmental researchers, professionals, and students.

This book focuses on validation and reconstruction work on the land surface temperature (LST) products retrieved by thermal infrared remote sensing. The LST is a key parameter in the energy-water balance process and has been widely used in research on the global climate change, water cycle, vegetation growing, and drought detection. Remote sensing retrieving LST is the most important source for regional and even global application. However, there are several factors that limited their widespread use: (1) the thermal infrared remote sensing is easily influenced by clouds; therefore, there are lots of pixel with invalid LST; (2) LST products have not been sufficiently validated in global scale. This book arms to overcome above defects and guide the readers to estimate the LST of cloudy pixel and implement the general validation on the remote sensing LST. Furthermore, it helps to understand the scale mismatch between different observation and land surface heterogeneity. The book covers ground-based observation, validation and reconstruction theories, scale mismatch analysis, heterogeneity and representativeness evaluation for observations, and application cases. It is an essential reference to the quantitative retrieval of thermal infrared remote sensing technologies.

Although remote sensing is recognized as a powerful tool, less attention has been given in the past to the use of thermal, and especially thermal infrared (TIR) remote sensing. TIR data is useful for understanding the fluxes and redistribution of materials as a key aspect of land surface processes and land-atmosphere inter-relationships. This book

This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing. Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.

Taking the Temperature of the Earth: Steps towards Integrated Understanding of Variability and Change presents an integrated, collaborative approach to observing and understanding various surface temperatures from a whole-Earth perspective. The book describes the progress in improving the quality of surface temperatures across different domains of the Earth’s surface (air, land, sea, lakes and ice), assessing variability and long-term trends, and providing applications of surface temperature data to detect and better understand Earth system behavior. As cooperation is essential between scientific communities, whose focus on particular domains of Earth’s surface and on different components of the observing system help to accelerate scientific understanding and multiply the benefits for society, this book bridges the gap between domains. Includes sections on data validation and uncertainty, data availability and applications Integrates remote sensing and in situ data sources Presents a whole earth perspective on surface temperature datasets, delving into all domains to build and understand relationships between the datasets

Nowadays, land cover changes are a major issue of global environmental change. Investigation on this subject has now been done by using remote sensing application. Research has been done in the Penang Island, which is one of the affected areas due to industrial and residential areas growth. Thus, this monograph is published to demonstrate an effective application through remote sensing technique to explore the environmental change and its impact on local environment that is caused by abrupt change in land use. It provides appropriate and comprehensive information for researchers involved in the study of environmental management, urban planning, land surface characteristics, and related support fields. This monograph highlights the relationship between land surface temperature and normalized difference vegetation index as the major results. The remote sensing technique used in this study was found to be efficient. It reduced the time for the analysis of land cover changes and was found to be a useful tool. Universiti Sains Malaysia, Penerbit Universiti Sains Malaysia

This book provides a comprehensive overview of the state of the art in the field of thermal infrared remote sensing. Temperature is one of the most important physical environmental variables monitored by earth observing remote sensing systems. Temperature ranges define the boundaries of habitats on our planet. Thermal hazards endanger our resources and well-being. In this book renowned international experts have contributed chapters on currently available thermal sensors as well as innovative plans for future missions. Further chapters discuss the underlying physics and image processing techniques for analyzing thermal data. Ground-breaking chapters on applications present a wide variety of case studies leading to a deepened understanding of land and sea surface temperature dynamics, urban heat island effects, forest fires, volcanic eruption precursors, underground coal fires, geothermal systems, soil moisture variability, and temperature-based mineral discrimination. ‘Thermal Infrared Remote Sensing: Sensors, Methods, Applications’ is unique because of the large field it spans, the potentials it reveals, and the detail it provides. This book is an indispensable volume for scientists, lecturers, and decision makers interested in thermal infrared technology, methods, and applications.