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Assessment of spongy moth infestation impacts on forest productivity and carbon loss using the Sentinel-2 satellite remote sensing and eddy covariance flux data.

Nur HussainAlemu GonsamoShusen WangM Altaf Arain
Published in: Ecological processes (2024)
The methods developed in this study offer valuable tools to assess and quantify natural disturbance impacts on the regional C balance of forest ecosystems by integrating field observations, high-resolution remote sensing data and models. Study results will also help in developing sustainable forest management practices to achieve net-zero C emission goals through nature-based climate change solutions.
Keyphrases
  • climate change
  • high resolution
  • human health
  • primary care
  • public health
  • machine learning
  • global health
  • data analysis