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Anthropogenic and natural disturbances to freshwater quantity and quality are a greater issue for society than ever before. To successfully restore water resources requires understanding the interactions between hydrology, climate, land use, water quality, ecology, and social and economic pressures. This Special Issue of Water includes cutting edge research broadly addressing investigative areas related to experimental study designs and modeling, freshwater pollutants of concern, and human dimensions of water use and management. Results demonstrate the immense, globally transferable value of the experimental watershed approach, the relevance and critical importance of current integrated studies of pollutants of concern, and the imperative to include human sociological and economic processes in water resources investigations. In spite of the latest progress, as demonstrated in this Special Issue, managers remain insufficiently informed to make the best water resource decisions amidst combined influences of land use change, rapid ongoing human population growth, and changing environmental conditions. There is, thus, a persistent need for further advancements in integrated and interdisciplinary research to improve the scientific understanding, management, and future sustainability of water resources.

Research & information: general --- physical habitat --- aquatic ecology --- stream health --- environmental flows --- land use --- hydrology --- hydroecology --- ecohydrology --- climate change --- Appalachia --- reforestation --- land use-land cover --- land-atmosphere coupling --- water quality --- environmental perceptions --- human dimensions --- spatial models --- socioeconomics --- urban watershed management --- municipal watershed --- water quality impairment --- collaborative adaptive management --- water resources --- urban watersheds --- endocrine disrupting chemical --- opioid --- pathway analysis --- ontology --- metabolomics --- decision-making --- logit regression --- farmer perceptions --- social networks --- public funds --- water conservation adoption --- good governance --- sanitation --- sustainability --- water supply --- water-saving agriculture --- Chinese provincial input efficiency --- three-stage DEA model --- environmental variables --- Boufakrane river watershed --- remote sensing --- LULCC --- water balances --- vulnerability --- total dissolved solids --- drinking water --- Appalachian Mountains --- streamflow sensitivity --- water security --- water balance partitioning --- Budyko --- Escherichia coli --- Suspended particulate matter --- Water quality --- Land use practices --- Watershed management --- basin --- hydrologic model --- reaeration rates --- stream metabolism --- watershed --- physicochemistry --- land use practices --- experimental watershed --- suspended particulate matter --- stream water temperature --- watershed management --- bacteria --- land-use practices --- environmental persistence --- saturated hydraulic conductivity --- pedotransfer function --- model validation --- Chesapeake Bay Watershed --- experimental watershed study --- human dimensions of water --- watershed modeling --- hydrological modeling --- water pollutants --- physical habitat --- aquatic ecology --- stream health --- environmental flows --- land use --- hydrology --- hydroecology --- ecohydrology --- climate change --- Appalachia --- reforestation --- land use-land cover --- land-atmosphere coupling --- water quality --- environmental perceptions --- human dimensions --- spatial models --- socioeconomics --- urban watershed management --- municipal watershed --- water quality impairment --- collaborative adaptive management --- water resources --- urban watersheds --- endocrine disrupting chemical --- opioid --- pathway analysis --- ontology --- metabolomics --- decision-making --- logit regression --- farmer perceptions --- social networks --- public funds --- water conservation adoption --- good governance --- sanitation --- sustainability --- water supply --- water-saving agriculture --- Chinese provincial input efficiency --- three-stage DEA model --- environmental variables --- Boufakrane river watershed --- remote sensing --- LULCC --- water balances --- vulnerability --- total dissolved solids --- drinking water --- Appalachian Mountains --- streamflow sensitivity --- water security --- water balance partitioning --- Budyko --- Escherichia coli --- Suspended particulate matter --- Water quality --- Land use practices --- Watershed management --- basin --- hydrologic model --- reaeration rates --- stream metabolism --- watershed --- physicochemistry --- land use practices --- experimental watershed --- suspended particulate matter --- stream water temperature --- watershed management --- bacteria --- land-use practices --- environmental persistence --- saturated hydraulic conductivity --- pedotransfer function --- model validation --- Chesapeake Bay Watershed --- experimental watershed study --- human dimensions of water --- watershed modeling --- hydrological modeling --- water pollutants

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Anthropogenic and natural disturbances to freshwater quantity and quality are a greater issue for society than ever before. To successfully restore water resources requires understanding the interactions between hydrology, climate, land use, water quality, ecology, and social and economic pressures. This Special Issue of Water includes cutting edge research broadly addressing investigative areas related to experimental study designs and modeling, freshwater pollutants of concern, and human dimensions of water use and management. Results demonstrate the immense, globally transferable value of the experimental watershed approach, the relevance and critical importance of current integrated studies of pollutants of concern, and the imperative to include human sociological and economic processes in water resources investigations. In spite of the latest progress, as demonstrated in this Special Issue, managers remain insufficiently informed to make the best water resource decisions amidst combined influences of land use change, rapid ongoing human population growth, and changing environmental conditions. There is, thus, a persistent need for further advancements in integrated and interdisciplinary research to improve the scientific understanding, management, and future sustainability of water resources.

physical habitat --- aquatic ecology --- stream health --- environmental flows --- land use --- hydrology --- hydroecology --- ecohydrology --- climate change --- Appalachia --- reforestation --- land use-land cover --- land-atmosphere coupling --- water quality --- environmental perceptions --- human dimensions --- spatial models --- socioeconomics --- urban watershed management --- municipal watershed --- water quality impairment --- collaborative adaptive management --- water resources --- urban watersheds --- endocrine disrupting chemical --- opioid --- pathway analysis --- ontology --- metabolomics --- decision-making --- logit regression --- farmer perceptions --- social networks --- public funds --- water conservation adoption --- good governance --- sanitation --- sustainability --- water supply --- water-saving agriculture --- Chinese provincial input efficiency --- three-stage DEA model --- environmental variables --- Boufakrane river watershed --- remote sensing --- LULCC --- water balances --- vulnerability --- total dissolved solids --- drinking water --- Appalachian Mountains --- streamflow sensitivity --- water security --- water balance partitioning --- Budyko --- Escherichia coli --- Suspended particulate matter --- Water quality --- Land use practices --- Watershed management --- basin --- hydrologic model --- reaeration rates --- stream metabolism --- watershed --- physicochemistry --- land use practices --- experimental watershed --- suspended particulate matter --- stream water temperature --- watershed management --- bacteria --- land-use practices --- environmental persistence --- saturated hydraulic conductivity --- pedotransfer function --- model validation --- Chesapeake Bay Watershed --- experimental watershed study --- human dimensions of water --- watershed modeling --- hydrological modeling --- water pollutants

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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.

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