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Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China
Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China
Summary
Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China is a scholarly article[1].
Key Facts
Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, 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). Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-impacts-of-urban-land-change-on-lst-and-carbon-storage-using-invest-ca-ann-and-woa-lstm-models-in-guangzh
MLA“Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-the-impacts-of-urban-land-change-on-lst-and-carbon-storage-using-invest-ca-ann-and-woa-lstm-models-in-guangzh.
BibTeX@misc{4ortxyz_predicting-the-impacts-of-urban-land-change-on-lst-and-carbon-storage-using-invest-ca-ann-and-woa-lstm-models-in-guangzh_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-impacts-of-urban-land-change-on-lst-and-carbon-storage-using-invest-ca-ann-and-woa-lstm-models-in-guangzh}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting the impacts of urban land change on LST and carbon storage using InVEST, CA-ANN and WOA-LSTM models in Guangzhou, China — https://4ort.xyz/entity/predicting-the-impacts-of-urban-land-change-on-lst-and-carbon-storage-using-invest-ca-ann-and-woa-lstm-models-in-guangzh (retrieved 2026-05-24)
