This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 101–120 of 330 papers
Haseeb Md. Irfanullah
This paper examines the role of Nature-based Solutions (NbS) in integrating water resources planning and climate resilience. It discusses how incorporating NbS into water planning can enhance resilience to climate change. Specific methods o…
Shuaibu H. Manga, Sani Inusa Milala, Abubakar Mohammed Garba
This conceptual paper addresses the gap in urban planning where zoning and development approvals focus on carbon mitigation rather than physical climate risk. It proposes a framework integrating climate risk scoring into regulatory decision…
Yogesh Bhattarai, V. Chaudhary, Wai Lim Kim +1
This study applies a diffusion model for cloud removal in flood imagery, trained on Sentinel-2B scenes. It generates cloud-free images preserving hydrological consistency, improving water body continuity and spectral signatures for water de…
Laila Shahzad, Mahammed Saleem, Faiza Sharif +4
This study assesses climate vulnerability of rice-wheat farmers in Narowal, Punjab using a climate vulnerability index (CVI). Findings show significant differences between tehsils (0.26 vs 0.91), with extreme temperatures, erratic rainfall,…
Nutchanat Buasri, P. Littidej, Benjamabhorn Pumhirunroj +2
This study analyzes population dynamics in flood-prone Thailand, finding that despite repeated flooding, some areas show late population growth (maladaptation). Using Random Forest and SHAP, flood frequency is the dominant predictor, with t…
Shashikala T K, S. R, J. Chandrashekhara
This paper proposes an edge-AI framework for real-time forest fire detection using YOLOv8 and IoT sensors. It enables low-latency, accurate detection with sensor fusion to reduce false alarms, offering scalable deployment for climate adapta…
Fırat Harun YILMAZ
This study analyzes adoption patterns of nature-based solutions (NbS) and grey infrastructure in climate adaptation across 833 cities reporting to the CDP-ICLEI Track 2025. Using frequency and correspondence analysis, it finds NbS complemen…
Guillem Fargas, Amirhossein Zabihi Sheshpoli, Neus Ortega +1
This study simulates the impact of climate change on building heating and cooling demand in the Mediterranean, using five Spanish climate zones and three building types. By 2050, cooling demand could increase by up to 706% while heating dem…
Xinli Li, Zizhen Cai, Yiling Shi
This study analyzes survey data from 615 residents in four Zhejiang cities using structural equation modeling. Extreme weather directly promotes low-carbon consumption (β=0.312), with green cognition and environmental attention as partial m…
Rubaiyat Ahsan Bhuiyan, Afzol Husain, Mohammad Abdullah
This paper analyzes how climate risk reshapes precious metals markets, examining the cascading effects of climate change on resource scarcity and price formation. It offers insights for investors and policymakers on how climate risk is bein…
Junhao Wu, Ling Ma, Dongfang Liang +2
This study analyzes the spatiotemporal optimization of rooftop rainwater harvesting systems, evaluating dual benefits in flood mitigation and water supply under climate change. It demonstrates effectiveness as an urban climate adaptation st…
Nora Aboushady, Chahir Zaki
This paper analyzes how climate risks (e.g., natural disasters) affect the structure of global value chains (GVCs), offering insights for firms and policymakers on decarbonization. It examines how supply chain disruptions from disasters lin…
A. Pigna, Pietro Di Stasio, D. Tapete +2
This study integrates Sentinel-2 imagery with U-Net semantic segmentation to automatically extract and analyze urban expansion in Osmaniye, Türkiye from 2015 to 2025. Results reveal sustained urban growth, a disruption from the 2023 earthqu…
Andrea Demartis, F. Giulio Tonolo, A. Ajmar
This study evaluates the performance of the pre-trained model Prithvi for burn scar and flood extent segmentation from Sentinel-2 imagery, comparing a commercial GIS interface with a standalone Python environment. Results show general align…
Douglas Ncube, Rudo Abigail Togaraseyi
This paper reviews natural and man-made disasters in Africa from 1970-2023, reporting about 1,700 disasters causing US$38.5 billion in economic losses and over 750,000 deaths. It emphasizes strengthening disaster management, early warning s…
Michele Mistri, Cristina Munari
This review systematically evaluates Nature-based Solutions (NbS) for Mediterranean coastal adaptation, integrating ecological, hydrodynamic, geomorphological, and governance perspectives. It examines vegetated habitats, biogenic reefs, sed…
Tainah Frota Carvalho, Newton Célio Becker de Moura, João Pedro Deodato Barreto +3
This paper proposes a parameterized geospatial multicriteria workflow to prioritize nature-based solutions (NBS) in data-constrained cities, aiding urban planning for climate adaptation.
Damianos Kalpakidis, Georgios Efthimiou, Constantina Skanavis +1
This scoping review examines implemented urban nature-based solutions (NBS) and blue-green infrastructure using quantitative designs, finding three pathways: restoration, behavioral activation, and environmental mitigation. Evidence from 11…
Christina den Hond‐Vaccaro, Klaus Jarosch, Sonja Kay +2
Climate change threatens European agriculture, and agroforestry (integrating trees/shrubs) is seen as a resilient approach. Based on 60 expert assessments, agroforestry systems show stable yields (0% change) compared to non-agroforestry (-8…
Gavrutenko M.
This paper proposes a method to improve species range estimates by temporally matching occurrence records with forest cover data, thereby predicting vulnerabilities to climate change. By accounting for deforestation impacts, it contributes …
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