Home ›
Entities
› academia
› Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz
Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz
Research article (Sustainable Cities and Society, 2025) · cited 11× · AI/ML
Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz
Summary
Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz is a scholarly article[1].
Key Facts
Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-urban-ecosystem-services-and-resilience-using-remote-sensing-and-invest-model-a-case-study-of-flood-risk-cont
MLA“Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-urban-ecosystem-services-and-resilience-using-remote-sensing-and-invest-model-a-case-study-of-flood-risk-cont.
BibTeX@misc{4ortxyz_evaluating-urban-ecosystem-services-and-resilience-using-remote-sensing-and-invest-model-a-case-study-of-flood-risk-cont_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-urban-ecosystem-services-and-resilience-using-remote-sensing-and-invest-model-a-case-study-of-flood-risk-cont}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating urban ecosystem services and resilience using remote sensing and InVEST model: A case study of flood risk control and urban cooling in Tabriz — https://4ort.xyz/entity/evaluating-urban-ecosystem-services-and-resilience-using-remote-sensing-and-invest-model-a-case-study-of-flood-risk-cont (retrieved 2026-05-24)