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Book
The Legal, Administrative and Managing Framework for Spatial Policy, Planning and Land-Use. Interdependence, Barriers and Directions of Change
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The book aims to explore the legal and administrative aspects of spatial governance and the challenges that their interaction entails. It does this through a number of chapters focusing on case studies located in different geographical areas of Europe and beyond. By doing this, the editors shed light on a set of challenges that emerge around the world at the intersection between the legal and administrative spheres during the governance and planning of territorial phenomena. The issues addressed in the various chapters highlight how spatial planning activities continue to face serious challenges that have not yet been satisfactorily addressed. In more detail, a correlation emerges between the legal regulations that allow and shape spatial-planning activities and the socio-economic and territorial challenges that those activities should tackle. This is often a consequence of the path-dependent influence of the traditional administrative and spatial planning configuration, which presents an inertial resistance to change that is hard to overcome. A similar situation arises concerning the mismatch between the boundaries of the existing administrative units and the extent of territorial phenomena, with a system of judicial–territorial administration that does not always coincide with the boundaries of the fundamental administrative division of a country, leading to an overall deterioration of the conditions in which all actors involved in spatial development operate.


Book
The Legal, Administrative and Managing Framework for Spatial Policy, Planning and Land-Use. Interdependence, Barriers and Directions of Change
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Bookmark

Abstract

The book aims to explore the legal and administrative aspects of spatial governance and the challenges that their interaction entails. It does this through a number of chapters focusing on case studies located in different geographical areas of Europe and beyond. By doing this, the editors shed light on a set of challenges that emerge around the world at the intersection between the legal and administrative spheres during the governance and planning of territorial phenomena. The issues addressed in the various chapters highlight how spatial planning activities continue to face serious challenges that have not yet been satisfactorily addressed. In more detail, a correlation emerges between the legal regulations that allow and shape spatial-planning activities and the socio-economic and territorial challenges that those activities should tackle. This is often a consequence of the path-dependent influence of the traditional administrative and spatial planning configuration, which presents an inertial resistance to change that is hard to overcome. A similar situation arises concerning the mismatch between the boundaries of the existing administrative units and the extent of territorial phenomena, with a system of judicial–territorial administration that does not always coincide with the boundaries of the fundamental administrative division of a country, leading to an overall deterioration of the conditions in which all actors involved in spatial development operate.


Book
The Legal, Administrative and Managing Framework for Spatial Policy, Planning and Land-Use. Interdependence, Barriers and Directions of Change
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Bookmark

Abstract

The book aims to explore the legal and administrative aspects of spatial governance and the challenges that their interaction entails. It does this through a number of chapters focusing on case studies located in different geographical areas of Europe and beyond. By doing this, the editors shed light on a set of challenges that emerge around the world at the intersection between the legal and administrative spheres during the governance and planning of territorial phenomena. The issues addressed in the various chapters highlight how spatial planning activities continue to face serious challenges that have not yet been satisfactorily addressed. In more detail, a correlation emerges between the legal regulations that allow and shape spatial-planning activities and the socio-economic and territorial challenges that those activities should tackle. This is often a consequence of the path-dependent influence of the traditional administrative and spatial planning configuration, which presents an inertial resistance to change that is hard to overcome. A similar situation arises concerning the mismatch between the boundaries of the existing administrative units and the extent of territorial phenomena, with a system of judicial–territorial administration that does not always coincide with the boundaries of the fundamental administrative division of a country, leading to an overall deterioration of the conditions in which all actors involved in spatial development operate.


Book
Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
Authors: --- --- ---
ISBN: 303655338X 3036553371 Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publishing the results, among others.

Keywords

Research & information: general --- Geography --- geographic information system (GIS) --- pocket beaches --- coastal management --- Interreg --- climate change --- remote sensing --- drone --- Sicily --- Malta --- Gozo --- Comino --- systematic literature review --- anomaly intrusion detection --- deep learning --- IoT --- resource constraint --- IDS --- evapotranspiration --- penman-monteith equation --- artificial neural network --- canopy conductance --- Ziz basin --- water quality --- satellite image analysis --- modeling approach --- nitrate --- dissolved oxygen --- chlorophyll a --- time series analysis --- environmental monitoring --- water extraction --- modified normalized difference water index (MNDWI) --- machine learning algorithm --- hyperspectral --- proximal sensing --- panicle initiation --- normalized difference vegetation index (NDVI) --- green ring --- internode-elongation --- Sentinel 1 and 2 --- Copernicus Sentinels --- crop classification --- food security --- agricultural monitoring --- data analysis --- SAR --- random forest --- 3D bale wrapping method --- equal bale dimensions --- mathematical model --- minimal film consumption --- optimal bale dimensions --- round bales --- Sentinel-2 --- SVM --- RF --- Boufakrane River watershed --- irrigation requirements --- water resources --- sustainable land use --- agriculture --- invasive plants --- precision agriculture --- rice farming --- site-specific weed management --- nitrogen prediction --- 1D convolution neural networks --- cucumber --- crop yield improvement --- mango leaf --- CCA --- vein pattern --- leaf disease --- cubic SVM --- chlorophyll-a concentration --- transfer learning --- overfitting --- data augmentation --- guava disease --- plant disease detection --- crops diseases --- entropy --- features fusion --- machine learning --- object-based classification --- density estimation --- histogram --- land use --- crop fields --- soil tillage --- data fusion --- multispectral --- sensor --- probe --- temperature profile --- forest roads --- simulation --- autonomous robots --- smart agriculture --- environmental protection --- photogrammetry --- path planning --- internet of things --- modeling --- convolutional neural networks --- machine vision --- computer vision --- modular robot --- selective spraying --- vision-based crop and weed detection --- Faster R-CNN --- YOLOv5 --- band selection --- CNN --- NDVI --- hyperspectral imaging --- crops --- urban flood --- Sentinel-1a --- Synthetic Aperture Radar (SAR) --- 3D Convolutional Neural Network --- multi-temporal data --- land use classification --- GIS --- Coatzacoalcos --- algorithms --- clustering --- pest control --- site-specific --- virtual pests --- rice plant --- weed --- hyperspectral imagery --- sustainable agriculture --- green technologies --- Internet of Things --- natural resources --- sustainable environment --- IoT ecosystem --- hyperspectral remoting sensing --- crop mapping --- image classification --- deep transfer learning --- hyperparameter optimization --- metaheuristic --- soil attribute --- ordinary Kriging --- rational sampling numbers --- spatial heterogeneity --- sampling --- soil pH --- spatial variation --- ordinary kriging --- Land Use/Land Cover --- LISS-III --- Landsat --- Vision Transformer --- Bidirectional long-short term memory --- Google Earth Engine --- Explainable Artificial Intelligence


Book
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Authors: --- --- ---
ISBN: 3036553363 3036553355 Year: 2022 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others.

Keywords

Research & information: general --- Geography --- geographic information system (GIS) --- pocket beaches --- coastal management --- Interreg --- climate change --- remote sensing --- drone --- Sicily --- Malta --- Gozo --- Comino --- systematic literature review --- anomaly intrusion detection --- deep learning --- IoT --- resource constraint --- IDS --- evapotranspiration --- penman-monteith equation --- artificial neural network --- canopy conductance --- Ziz basin --- water quality --- satellite image analysis --- modeling approach --- nitrate --- dissolved oxygen --- chlorophyll a --- time series analysis --- environmental monitoring --- water extraction --- modified normalized difference water index (MNDWI) --- machine learning algorithm --- hyperspectral --- proximal sensing --- panicle initiation --- normalized difference vegetation index (NDVI) --- green ring --- internode-elongation --- Sentinel 1 and 2 --- Copernicus Sentinels --- crop classification --- food security --- agricultural monitoring --- data analysis --- SAR --- random forest --- 3D bale wrapping method --- equal bale dimensions --- mathematical model --- minimal film consumption --- optimal bale dimensions --- round bales --- Sentinel-2 --- SVM --- RF --- Boufakrane River watershed --- irrigation requirements --- water resources --- sustainable land use --- agriculture --- invasive plants --- precision agriculture --- rice farming --- site-specific weed management --- nitrogen prediction --- 1D convolution neural networks --- cucumber --- crop yield improvement --- mango leaf --- CCA --- vein pattern --- leaf disease --- cubic SVM --- chlorophyll-a concentration --- transfer learning --- overfitting --- data augmentation --- guava disease --- plant disease detection --- crops diseases --- entropy --- features fusion --- machine learning --- object-based classification --- density estimation --- histogram --- land use --- crop fields --- soil tillage --- data fusion --- multispectral --- sensor --- probe --- temperature profile --- forest roads --- simulation --- autonomous robots --- smart agriculture --- environmental protection --- photogrammetry --- path planning --- internet of things --- modeling --- convolutional neural networks --- machine vision --- computer vision --- modular robot --- selective spraying --- vision-based crop and weed detection --- Faster R-CNN --- YOLOv5 --- band selection --- CNN --- NDVI --- hyperspectral imaging --- crops --- urban flood --- Sentinel-1a --- Synthetic Aperture Radar (SAR) --- 3D Convolutional Neural Network --- multi-temporal data --- land use classification --- GIS --- Coatzacoalcos --- algorithms --- clustering --- pest control --- site-specific --- virtual pests --- rice plant --- weed --- hyperspectral imagery --- sustainable agriculture --- green technologies --- Internet of Things --- natural resources --- sustainable environment --- IoT ecosystem --- hyperspectral remoting sensing --- crop mapping --- image classification --- deep transfer learning --- hyperparameter optimization --- metaheuristic --- soil attribute --- ordinary Kriging --- rational sampling numbers --- spatial heterogeneity --- sampling --- soil pH --- spatial variation --- ordinary kriging --- Land Use/Land Cover --- LISS-III --- Landsat --- Vision Transformer --- Bidirectional long-short term memory --- Google Earth Engine --- Explainable Artificial Intelligence

Listing 1 - 5 of 5
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