Home ›
Entities
› academia
› Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran
Research article (Environmental Monitoring and Assessment, 2022) · cited 26× · AI/ML
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran
Summary
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran is a scholarly article[1].
Key Facts
Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran'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). Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran. Retrieved May 24, 2026, from https://4ort.xyz/entity/rapid-and-automatic-burned-area-detection-using-sentinel-2-time-series-images-in-google-earth-engine-cloud-platform-a-ca
MLA“Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rapid-and-automatic-burned-area-detection-using-sentinel-2-time-series-images-in-google-earth-engine-cloud-platform-a-ca.
BibTeX@misc{4ortxyz_rapid-and-automatic-burned-area-detection-using-sentinel-2-time-series-images-in-google-earth-engine-cloud-platform-a-ca_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran}}, year = {2026}, url = {https://4ort.xyz/entity/rapid-and-automatic-burned-area-detection-using-sentinel-2-time-series-images-in-google-earth-engine-cloud-platform-a-ca}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran — https://4ort.xyz/entity/rapid-and-automatic-burned-area-detection-using-sentinel-2-time-series-images-in-google-earth-engine-cloud-platform-a-ca (retrieved 2026-05-24)