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DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
Research article (Agricultural and Forest Meteorology, 2021) · cited 53× · AI/ML
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
Summary
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information is a scholarly article[1].
Key Facts
DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information'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). DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information. Retrieved May 24, 2026, from https://4ort.xyz/entity/dnn-met-a-deep-neural-networks-method-to-integrate-satellite-derived-evapotranspiration-products-eddy-covariance-observa
MLA“DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dnn-met-a-deep-neural-networks-method-to-integrate-satellite-derived-evapotranspiration-products-eddy-covariance-observa.
BibTeX@misc{4ortxyz_dnn-met-a-deep-neural-networks-method-to-integrate-satellite-derived-evapotranspiration-products-eddy-covariance-observa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information}}, year = {2026}, url = {https://4ort.xyz/entity/dnn-met-a-deep-neural-networks-method-to-integrate-satellite-derived-evapotranspiration-products-eddy-covariance-observa}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information — https://4ort.xyz/entity/dnn-met-a-deep-neural-networks-method-to-integrate-satellite-derived-evapotranspiration-products-eddy-covariance-observa (retrieved 2026-05-24)
