Deep Learning of Climate Change and Extreme Events, Hydrological Processes and Land Use Dynamics Relationships

The impact of climate change on hydrological processes, droughts, land use patterns, and ecosystem health is a critical area of research for understanding and managing the future of our planet. At the same time, changes in land use, agricultural methods, and population growth may contribute to clima...

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Témata:	deep learning techniques climate change impact carbon emission drought forecast desertification nitrate leaching ice sheet mass loss land use change population growth predictive environmental modeling remote sensing applications ecosystem service value thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNB Energy industries and utilities::KNBW Water industries thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology::TQK Pollution control
On-line přístup:	ONIX_20250812T110751_9783725841615_357
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