From satellite imagery to material outflows: master plan and deep learning-based quantification of demolition materials to support circular construction.

Kumisbek A, Nauyryzbay A, Karaca F, Guney M

Open source

DOI
10.1007/s40201-026-00978-0
Published
2026 Jun
Container
Journal of environmental health science & engineering
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s40201-026-00978-0,
  title = {From satellite imagery to material outflows: master plan and deep learning-based quantification of demolition materials to support circular construction.},
  author = {Kumisbek A and Nauyryzbay A and Karaca F and Guney M},
  year = {2026},
  journal = {Journal of environmental health science \& engineering},
  doi = {10.1007/s40201-026-00978-0},
  url = {https://doi.org/10.1007/s40201-026-00978-0}
}

RIS

TY  - JOUR
TI  - From satellite imagery to material outflows: master plan and deep learning-based quantification of demolition materials to support circular construction.
AU  - Kumisbek A
AU  - Nauyryzbay A
AU  - Karaca F
AU  - Guney M
PY  - 2026
JO  - Journal of environmental health science & engineering
DO  - 10.1007/s40201-026-00978-0
UR  - https://doi.org/10.1007/s40201-026-00978-0
ER  - 

APA

A, K., A, N., F, K., & M, G. (2026). From satellite imagery to material outflows: master plan and deep learning-based quantification of demolition materials to support circular construction.. Journal of environmental health science & engineering. https://doi.org/10.1007/s40201-026-00978-0

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