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Recent developments in the natural gas industry warrant new analysis of related issues. Environmental, social, and governance (ESG) investments have accelerated the shift away from coal as the dominant source of electricity. Its low environmental impact, reduced volume, and broad availability make liquefied natural gas (LNG) a popular alternative, during this time of transition between traditional fuels and newer options. In the United States, the shale gas revolution has made natural gas a game changer. In this book, we focus on empirical analyses of the natural gas market and its growing relevance worldwide.

spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI

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Recent developments in the natural gas industry warrant new analysis of related issues. Environmental, social, and governance (ESG) investments have accelerated the shift away from coal as the dominant source of electricity. Its low environmental impact, reduced volume, and broad availability make liquefied natural gas (LNG) a popular alternative, during this time of transition between traditional fuels and newer options. In the United States, the shale gas revolution has made natural gas a game changer. In this book, we focus on empirical analyses of the natural gas market and its growing relevance worldwide.

Economics, finance, business & management --- spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI --- spillover effect --- market integration --- natural gas market --- time frequency dynamics --- BRICS --- exchange rates --- connectedness --- time domain --- frequency domain --- natural gas --- crude oil --- electricity utilities sector index --- time–frequency dynamics --- ESG --- renewable energy --- copula --- value-at-risk --- electricity --- spot --- futures --- transmission --- pipelines --- external cost --- health --- property damage --- bodily injury --- uncertainty --- insurance --- coal --- spillover effects --- dynamic approaches --- forecasting --- logistic regression --- random forests --- support vector machines --- US natural gas crises --- XGboost --- neural networks --- oil futures prices crashes --- foresting --- logistical regression --- extreme gradient boosting --- moving window --- SVAR --- oil price --- gas price --- US macroeconomic aggregates --- GDP --- CPI

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The book highlights recent advancements in the mapping and monitoring of mangrove forests using earth observation satellite data. New and historical satellite data and aerial photographs have been used to map the extent, change and bio-physical parameters, such as phenology and biomass. Research was conducted in different parts of the world. Knowledge and understanding gained from this book can be used for the sustainable management of mangrove forests of the world

Landsat --- estuary --- protected area --- land use --- land cover --- change detection --- time series --- Great Barrier Reef --- Sentinel-2 --- ALOS-2 PALSAR-2 --- mangrove --- above-ground biomass --- extreme gradient boosting --- Can Gio biosphere reserve --- Vietnam --- LiDAR --- random forest --- GLAS --- aboveground biomass --- mangrove plantation --- aboveground biomass estimation --- optical images --- SAR --- DSM --- vegetation index --- color --- RGB --- accuracy assessment --- transgression --- mangrove development --- machine learning --- mangrove condition --- classification --- remote sensing --- ecosystem --- upscaling --- Worldview-2 --- Niger Delta Region --- mangroves --- land cover dynamics --- intensity analysis --- fragmentation --- spectral-temporal metrics --- land degradation --- ALOS PALSAR-2 --- JERS-1 --- GLCM --- Markov chain --- cellular automata --- data fusion --- forest monitoring --- Google Earth Engine --- mangrove forests --- multi-temporal analysis --- satellite earth observation --- time series analysis --- GEEMMM --- google earth engine --- Myanmar --- cloud computing --- digital earth --- GAMs --- Generalized Additive Models --- EVI --- phenology --- n/a