Suman Chakraborti

TL;DR: In this paper, the authors have measured spatiotemporal ecosystem service value (ESV) of 17 key ecosystems of Sundarbans Biosphere Reserve (SBR) in India using temporal remote sensing (RS) data.

TL;DR: The proposed hybrid valuation method aggregates biophysical and economic estimates of ESs and addresses methodological biases existing in the valuation process and can be generalized and applied to other ecosystems at different scales.

TL;DR: In this paper, the authors explored the potential effects of driving factors on COVID-19 counts in the contiguous United States and found that ethnicity, crime, and income factors are the strongest covariates and explain most of the variance of the modeling estimation.

TL;DR: In this paper, the causal effects of the confounding factors on COVID-19 counts in the contiguous US were explored using various relevant approaches, including local and global spatial regression models and machine learning.

TL;DR: The present approach appears to be promising and has a potential in quantifying the loss of ecosystem productivity due to forest fires and testing of remotely sensed fire maps for future research.