Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides.

Miao Z, Xiong Y, Cheng Z, Wu B, Wang W, Peng Z.

Open source

DOI: 10.3390/s25134221
Published: 2025-07-06
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25134221,
  title = {Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides.},
  author = {Miao Z and  Xiong Y and  Cheng Z and  Wu B and  Wang W and  Peng Z.},
  year = {2025},
  journal = {Sensors (Basel)},
  doi = {10.3390/s25134221},
  url = {https://doi.org/10.3390/s25134221}
}

RIS

TY  - JOUR
TI  - Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides.
AU  - Miao Z
AU  -  Xiong Y
AU  -  Cheng Z
AU  -  Wu B
AU  -  Wang W
AU  -  Peng Z.
PY  - 2025
JO  - Sensors (Basel)
DO  - 10.3390/s25134221
UR  - https://doi.org/10.3390/s25134221
ER  -

APA

Z, M., Y, X., Z, C., B, W., W, W., & Z., P. (2025). Quantifying Root Cohesion Spatial Heterogeneity Using Remote Sensing for Improved Landslide Susceptibility Modeling: A Case Study of Caijiachuan Landslides.. Sensors (Basel). https://doi.org/10.3390/s25134221

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europe-pmc · retrieved 2026-09-26T05:56:54.923Z
doaj · retrieved 2026-09-26T05:56:54.895Z