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This edited volume sheds new light on the impact of rapid Land Use/Cover Changes (LU/CC) on greenhouse gases (GHG’s) and aerosol emissions in South and Southeast Asia. Several countries in South/Southeast Asia have the highest population growth rates in the world, which is the main cause for LU/CC. Conversion of dense forests to agricultural areas and then to residential and urban areas is most commonly observed in South/Southeast Asian countries with a significant release of GHG’s and aerosols. The book showcases several case studies on the use of remote sensing and geospatial technologies to quantify biomass burning and air pollution impacts, aerosol pollution, LU/CC, and impacts on ecosystem services. The book also includes articles on regional initiatives in research, capacity building, and training. The authors of this book are international experts in the field, and their contributions highlight significant drivers and impacts of air pollution in South/Southeast Asia. Readers will discover the latest tools and techniques, in particular, the use of satellite remote sensing and geospatial technologies for quantifying GHG’s, aerosols and pollution episodes in this region.
Volume 1 of a two volume set, this book is a self-contained, state-of-the-art analysis of remote sensing, ground-based, and spatial techniques used for characterizing biomass burning events and pollution. It is a collective achievement of renowned scientists working throughout South and Southeast Asia. They discuss the complexity of vegetation patterns, biomass characteristics, fire distribution, drivers of fires, and several examples of the use of novel satellite algorithms for mapping and monitoring biomass burning events. The book is highly interdisciplinary and integrates earth science and environmental science including ecology, fire science, spatial geography, remote sensing, and geospatial technologies. Unique in its discussion of the sources and the causes of biomass burning and atmospheric research in South and Southeast Asia. Explains how remote sensing and geospatial technologies help the mapping and monitoring of biomass burning events and their impacts. Focuses on large spatial scales integrating top-down and bottom-up methodologies. Addresses the pressing issues of environmental pollution that are rampant in South and Southeast Asia. Includes contributions from global experts actually working on biomass burning projects in the US, Japan, South/Southeast Asia, and Europe. This book will serve as a valuable source of information for remote sensing scientists, geographers, ecologists, atmospheric scientists, environmental scientists, and all who wish to advance their knowledge on fires and biomass burning in South/Southeast Asia.
The increasing intensity and frequency of natural disasters all around the world has caused severe socioeconomic impacts, especially in South and Southeast Asia. This region is particularly susceptible to vegetation fires, leading to biomass burning pollution with impacts on other countries through trans-boundary air pollution. Despite the growing body of information on biomass pollutants worldwide, only a modest amount of data from these regions are available. With fires and biomass burning identified as a vital issue in South/Southeast Asia, this two-volume set was created to meet community research and application needs. To better serve the atmospheric, environmental, and remote sensing communities, and to address air quality, climate, and the human health impacts of greenhouse gases and aerosols from biomass burning, this set brings together the collective achievements of experts in these regions and the state-of-the-art technologies and spatial analyses to model and monitor biomass burning events and their impacts. This first volume covers various topics on fire, biomass burning, mapping and monitoring while the second volume highlights the impact of biomass burning on the biosphere and reflects extensive research by interdisciplinary teams of experts. This set will serve as a valuable resource for remote sensing scientist, geographers, ecologists, atmospheric scientists, environmental scientists, and all who wish to advance their knowledge on fires, biomass burning, and biomass burning pollution in South/Southeast Asia Specific Features: Unique in its discussion of the sources and the causes of biomass burning and atmospheric research in South and Southeast Asia. Explains how remote sensing and geospatial technologies help the mapping and monitoring of biomass burning events and their impacts. Focuses on large spatial scales integrating top-down and bottom-up methodologies. Addresses the pressing issues of environmental pollution that are rampant in South and Southeast Asia. Includes contributions from global experts currently working on biomass burning projects in the US, Japan, South/Southeast Asia, and Europe.
Vegetation fires are prevalent in several regions of the world, including South/ Southeast Asia (S/SEA). Fire occurrence and spread are influenced by fuel type, topography, climate, weather, and lightning, among others. In S/SEA, human-initiated fires are responsible for most of the incidents in addition to natural factors. Through biomass burning, vegetation fires can emit large quantities of greenhouse gases and air pollutants such as CO2, CO, NOx, CH4, non-methane hydrocarbons, and other chemical species, including aerosols that can affect air quality and health at both local and regional scales. Moreover, biomass burning pollutants can travel long distances and impact regional climate. Therefore, quantifying vegetation fires and their impacts is critical at different spatial scales. This book includes contributions from renowned researchers from the USA and South/ Southeast Asia on various fire-related topics. The contributions resulted from several international meetings and workshops organized in Asia as part of the South/ Southeast Asia Research Initiative (SARI) under the NASA Land-Cover/Land-Use Change Program. The book is divided into three sections, each containing multiple contributions: a) Mapping, Monitoring, and Modeling of Vegetation Fires, b) Greenhouse Gas Emissions and Air Pollution, and c) Air Pollution Modeling and Decision Support Systems. These sections are preceded by an introductory chapter by the editors that highlights the latest satellite-derived fire statistics and the current fire situation in S/SEA. This book will be a valuable resource for remote sensing scientists, geographers, ecologists, atmospheric, climate, environmental scientists, including policymakers, and all who wish to advance their knowledge on vegetation fires and emissions in South/Southeast Asia.
This book sheds new light on the remote sensing of agriculture in South/Southeast Asian (S/SEA) countries. S/SEA countries are growing rapidly in terms of population, industrialization, and urbanization. One of the critical challenges in the region is food security. In S/SEA, although total food production and productivity have increased in previous decades, in recent years, the growth rate of food production has slowed down, mostly due to land use change, market forces and policy interventions. Further, the weather and climate systems in the region driven primarily by monsoon variability are resulting in droughts or flooding, impacting agricultural production. Therefore, monitoring crops, including agricultural land cover changes at regular intervals, is essential to predict and prepare for disruptions in the food supply in the S/SEA countries. The current book captures the latest research on the remote sensing of agricultural land cover/ land use changes, including mapping and monitoring crops, crop yields, biophysical parameter retrievals, multi-source data fusion for agricultural applications, and chapters on decision making and early warning systems for food security. The authors of this book are international experts in the field, and their contributions highlight the use of remote sensing and geospatial technologies for agricultural research and applications in South/Southeast Asia.
This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.
This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models’ intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.
This book collates traditional and modern applications of remote sensing in aquatic ecosystem monitoring. It covers conventional assessment methods like sampling, surveying, macroinvertebrates, and chlorophyll estimation for aquatic ecosystem health assessment. Advanced remote sensing technology provides timely spectral information for quantitative and qualitative assessment of water quality, shoreline changes, coral bleaching, and vegetation monitoring. The book covers different types of aquatic ecosystems like wetlands, rivers, lakes, saline, and the brackish lake. It also: Reviews the latest applications of remote sensing in the monitoring and assessment of aquatic ecosystems Includes traditional methods like cartography, sampling, surveying, phytoplankton assessment, river interlinking, and chlorophyll estimation Discusses the application of multi-source data and machine learning in monitoring aquatic ecosystems Discusses aquatic ecosystem management, services, threats, and sustainability Explores challenges, opportunities, and prospects of future Earth observation applications for aquatic ecosystem monitoring The book discusses space-borne, airborne, and drone geospatial data. The parts broadly cover aquatic ecosystem monitoring, vegetation management, advanced modeling practices, and challenges. It is meant for scientists, professionals, and policymakers working in environmental sciences, remote sensing, and geology.