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Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Research article (Journal of Environmental Management, 2021) · cited 32× · AI/ML
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Summary
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis is a scholarly article[1].
Key Facts
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusion-based-framework-for-meteorological-drought-modeling-using-remotely-sensed-datasets-under-climate-change-scenarios
MLA“Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusion-based-framework-for-meteorological-drought-modeling-using-remotely-sensed-datasets-under-climate-change-scenarios.
BibTeX@misc{4ortxyz_fusion-based-framework-for-meteorological-drought-modeling-using-remotely-sensed-datasets-under-climate-change-scenarios_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis}}, year = {2026}, url = {https://4ort.xyz/entity/fusion-based-framework-for-meteorological-drought-modeling-using-remotely-sensed-datasets-under-climate-change-scenarios}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis — https://4ort.xyz/entity/fusion-based-framework-for-meteorological-drought-modeling-using-remotely-sensed-datasets-under-climate-change-scenarios (retrieved 2026-05-24)
