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book (6)


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2021 (6)

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Book
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.


Book
Power System Simulation, Control and Optimization
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Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.

Keywords

Technology: general issues --- subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry


Book
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.


Book
Power System Simulation, Control and Optimization
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.

Keywords

subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry


Book
Power System Simulation, Control and Optimization
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue “Power System Simulation, Control and Optimization” offers valuable insights into the most recent research developments in these topics. The analysis, operation, and control of power systems are increasingly complex tasks that require advanced simulation models to analyze and control the effects of transformations concerning electricity grids today: Massive integration of renewable energies, progressive implementation of electric vehicles, development of intelligent networks, and progressive evolution of the applications of artificial intelligence.

Keywords

Technology: general issues --- subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry --- subhourly modeling --- stochastic unit commitment --- cosimulation method --- sensitivity analysis --- power system dynamic performance --- cooling system --- dynamic programming --- metal-air battery --- receding horizon control --- state variables --- uninterruptible power supply --- power flow computation --- high performance computing (HPC) --- parallelism --- parallel computation --- LU decomposition --- security-constrained optimal power flow --- chance-constrained optimization --- probability of contingency --- renewable energy source --- flexible AC transmission systems --- tabu search --- multi-objective --- power systems --- impartial and open dispatching --- economy --- Gini coefficient --- generation scheduling --- mixed integer quadratic programming --- flexible loads --- market clearing --- safety checking --- interior point method --- electric safety --- induction motor --- fan --- overcurrent protection --- aggregation --- ancillary services --- distributed energy resources --- optimization --- power system operation --- automatic generation control (AGC) --- frequency control --- dynamic deadband --- energy management system (EMS) --- governor response --- voltage collapse --- voltage control --- transformer controller --- adaptive algorithm --- voltage regulation --- distribution system --- power distribution network --- distributed generation --- OLTC --- solar radiation modeling --- GIS --- interpolation --- digital elevation model --- data mining --- ANFIS --- multistrand cable lines --- ampacity --- skin and proximity effects --- symmetry


Book
Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
Author:
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

This Special Issue (SI), entitled "Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass”, resulted from 13 peer-reviewed papers dedicated to Forestry and Biomass mapping, characterization and accounting. The papers' authors presented improvements in Remote Sensing processing techniques on satellite images, drone-acquired images and LiDAR images, both aerial and terrestrial. Regarding the images’ classification models, all authors presented supervised methods, such as Random Forest, complemented by GIS routines and biophysical variables measured on the field, which were properly georeferenced. The achieved results enable the statement that remote imagery could be successfully used as a data source for regression analysis and formulation and, in this way, used in forestry actions such as canopy structure analysis and mapping, or to estimate biomass. This collection of papers, presented in the form of a book, brings together 13 articles covering various forest issues and issues in forest biomass calculation, constituting an important work manual for those who use mixed GIS and RS techniques.

Keywords

Research & information: general --- Geography --- AGB estimation and mapping --- mangroves --- UAV LiDAR --- WorldView-2 --- terrestrial laser scanning --- above-ground biomass --- nondestructive method --- DBH --- bark roughness --- Landsat dataset --- forest AGC estimation --- random forest --- spatiotemporal evolution --- aboveground biomass --- variable selection --- forest type --- machine learning --- subtropical forests --- Landsat 8 OLI --- seasonal images --- stepwise regression --- map quality --- subtropical forest --- urban vegetation --- biomass estimation --- Sentinel-2A --- Xuzhou --- forest biomass estimation --- forest inventory data --- multisource remote sensing --- biomass density --- ecosystem services --- trade-off --- synergy --- multiple ES interactions --- valley basin --- norway spruce --- LiDAR --- allometric equation --- individual tree detection --- tree height --- diameter at breast height --- GEOMON --- ALOS-2 L band SAR --- Sentinel-1 C band SAR --- Sentinel-2 MSI --- ALOS DSM --- stand volume --- support vector machine for regression --- ordinary kriging --- forest succession --- leaf area index --- plant area index --- machine learning algorithms --- forest growing stock volume --- SPOT6 imagery --- Pinus massoniana plantations --- sentinel 2 --- landsat --- remote sensing --- GIS --- shrubs biomass --- bioenergy --- vegetation indices --- AGB estimation and mapping --- mangroves --- UAV LiDAR --- WorldView-2 --- terrestrial laser scanning --- above-ground biomass --- nondestructive method --- DBH --- bark roughness --- Landsat dataset --- forest AGC estimation --- random forest --- spatiotemporal evolution --- aboveground biomass --- variable selection --- forest type --- machine learning --- subtropical forests --- Landsat 8 OLI --- seasonal images --- stepwise regression --- map quality --- subtropical forest --- urban vegetation --- biomass estimation --- Sentinel-2A --- Xuzhou --- forest biomass estimation --- forest inventory data --- multisource remote sensing --- biomass density --- ecosystem services --- trade-off --- synergy --- multiple ES interactions --- valley basin --- norway spruce --- LiDAR --- allometric equation --- individual tree detection --- tree height --- diameter at breast height --- GEOMON --- ALOS-2 L band SAR --- Sentinel-1 C band SAR --- Sentinel-2 MSI --- ALOS DSM --- stand volume --- support vector machine for regression --- ordinary kriging --- forest succession --- leaf area index --- plant area index --- machine learning algorithms --- forest growing stock volume --- SPOT6 imagery --- Pinus massoniana plantations --- sentinel 2 --- landsat --- remote sensing --- GIS --- shrubs biomass --- bioenergy --- vegetation indices

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