A spatio-temporal neural network learning system for city-scale carbon storage capacity estimating

HIGHLIGHTS

  • who: MOU CHAO and colleagues from the School of Information Science and Technology, Beijing Forestry University, Beijing, China have published the Article: A spatio-temporal neural network learning system for city-scale carbon storage capacity estimating, in the Journal: (JOURNAL)
  • what: In this study a novel and powerful neural network learning system named CiSL-NPP is proposed to integrate multi-source data as an accurate efficient simple long-term city-scale carbon storage capacity measurement method. To achieve the low-cost, efficient, accurate, and longterm estimation of vegetation carbon storage capacity at the city scale . . .

     

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