Home ›
Entities
› academia
› Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China
Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China
Research article (Agricultural Water Management, 2023) · cited 29× · AI/ML
Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China
Summary
Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China is a scholarly article[1].
Key Facts
Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China'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 established deep learning methods in constructing integrated remote sensing drought index: A case study in China. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-established-deep-learning-methods-in-constructing-integrated-remote-sensing-drought-index-a-case-study-in-chi
MLA“Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-established-deep-learning-methods-in-constructing-integrated-remote-sensing-drought-index-a-case-study-in-chi.
BibTeX@misc{4ortxyz_evaluating-established-deep-learning-methods-in-constructing-integrated-remote-sensing-drought-index-a-case-study-in-chi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-established-deep-learning-methods-in-constructing-integrated-remote-sensing-drought-index-a-case-study-in-chi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China — https://4ort.xyz/entity/evaluating-established-deep-learning-methods-in-constructing-integrated-remote-sensing-drought-index-a-case-study-in-chi (retrieved 2026-05-24)
