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Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach

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Published in:International Journal of Disaster Risk Science
Format: Online Article RSS Article
Published: 2026
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container_title International Journal of Disaster Risk Science
description
discipline_display Management
discipline_facet Management
format Online Article
RSS Article
genre Journal Article
id rss_article:104640
institution FRELIP
journal_source_facet International Journal of Disaster Risk Science
last_indexed 2026-07-21T03:32:13.997Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
Management
General
Management
sub_discipline_display General
sub_discipline_facet General
subject_display Management
General
Management
subject_facet Management
General
Management
title Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_alt Evaluación de peligros de contaminación por nutrientes sensibles al clima en cuencas hidrográficas de transición urbano-rural: un enfoque de asimilación de datos de inteligencia artificial y teledetección
Évaluation des risques de pollution par les nutriments sensibles au climat dans les bassins versants de transition urbaine-rurale : une approche d'assimilation de données d'intelligence artificielle et de télédétection
Avaliação de Perigos de Poluição por Nutrientes Sensíveis ao Clima em Bacias Hidrográficas de Transição Urbano-Rural: Uma Abordagem de Assimilação de Dados de Inteligência Artificial e Sensoriamento Remoto
title_auth Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_es_txt Evaluación de peligros de contaminación por nutrientes sensibles al clima en cuencas hidrográficas de transición urbano-rural: un enfoque de asimilación de datos de inteligencia artificial y teledetección
title_fr_txt Évaluation des risques de pollution par les nutriments sensibles au climat dans les bassins versants de transition urbaine-rurale : une approche d'assimilation de données d'intelligence artificielle et de télédétection
title_full Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_fullStr Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_full_unstemmed Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_pt_txt Avaliação de Perigos de Poluição por Nutrientes Sensíveis ao Clima em Bacias Hidrográficas de Transição Urbano-Rural: Uma Abordagem de Assimilação de Dados de Inteligência Artificial e Sensoriamento Remoto
title_short Assessing Climate-Sensitive Nutrient Pollution Hazards in Urban-Rural Transitional Watersheds: An Artificial Intelligence and Remote Sensing Data Assimilation Approach
title_sort assessing climate-sensitive nutrient pollution hazards in urban-rural transitional watersheds: an artificial intelligence and remote sensing data assimilation approach
topic Management
General
Management
url https://link.springer.com/article/10.1007/s13753-026-00750-w