Publications

Maps showing forest dryness in western USA Predicted vegetation wetness over western US using remote sensing and deep learning.

You can also find my publications on my Google Scholar profile.

DamageMap: A post-wildfire damaged buildings classifier

Published in International Journal of Disaster Risk Reduction, 2021

This paper presents an AI-based method to classify damaged buildings using post-wildfire images only.

Recommended citation: Galanis, M., Rao, K., Yao, X., Tsai, Y.-L., Ventura, J., & Fricker, G. A. (2021). DamageMap: A post-wildfire damaged buildings classifier. International Journal of Disaster Risk Reduction, 102540. https://doi.org/10.1016/j.ijdrr.2021.102540 https://www.sciencedirect.com/science/article/pii/S221242092100501X

Interannual Variations of Vegetation Optical Depth Are Due to Both Water Stress and Biomass Changes

Published in Geophysical Research Letters, 2021

This paper re-examines the commonly held assumption that VOD interannual variations are proportional to interannual variations in biomass, and shows that the assumption for the most part, is invalid.

Recommended citation: Konings, A. G., Holtzman, N. M., Rao, K., Xu, L., & Saatchi, S. S. (2021). Interannual Variations of Vegetation Optical Depth are Due to Both Water Stress and Biomass Changes. Geophysical Research Letters, 48(16), e2021GL095267. https://doi.org/10.1029/2021gl095267 https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2021GL095267

Drainage canals in Southeast Asian peatlands increase carbon emissions

Published in AGU Advances, 2021

This paper presents a novel convolutional neural network to detect canals and study the effect of canals on land subsidence.

Recommended citation: Dadap, N. C., Hoyt, A. M., Cobb, A. R., Oner, D., Kozinski, M., Fua, P. V., Rao, K., Harvey, C. F., & Konings, A. G. (2021). Drainage Canals in Southeast Asian Peatlands Increase Carbon Emissions. AGU Advances, 2(1), e2020AV000321. https://doi.org/10.1029/2020AV000321 https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020AV000321

Satellite-based vegetation optical depth as an indicator of drought-driven tree mortality

Published in Remote Sensing of Environment, 2019

This paper is about developing a scalable plant drought stress indicator using vegetation optical depth.

Recommended citation: Rao, K., Anderegg, W.R.L., Sala, A., Martínez-Vilalta, J. & Konings, A.G. (2019). Satellite-based vegetation optical depth as an indicator of drought-driven tree mortality. Remote Sens. Environ., 227, 125–136. https://www.sciencedirect.com/science/article/pii/S0034425719301208


Research graciously funded by

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