2015
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Posts by Collection
blog
letters
2016
Published:
2017
Published:
2018
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2019
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2020
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projects
Fire Prediction in Southeast Asia using Machine Learning
Published:
Detecting fire occurence in Southeast Asia using satellite remote sensing and machine learning 
Fix the Jet
Published:
Make images and figures colorblind friendly by swapping their colormaps 
Can We Infer Seasons by Looking at Nature?
Published:
Live season detector using a network of cameras across North America 
Flood Mapper: Automated Flood Detection System
Published:
Near-realtime global flood mapper using automated, localized change-detection 
Leafnet: Species identification using leaf images
Published:
Identify species of a tree using an image of its leaf. Model powered by deep learning and hosted as a chatbot. 
Stormwater Rate Simulator for New York City
Published:
A simulator which allocates stormwater-associated costs based on user inputs for several different rate structures and incentives. 
FireNet: Wildfire Risk Forecaster for Social Equality
Published:
A deep learning system saving you from falling into the trap of wildfire risk and social inequality 
DamageMap: A Post-Wildfire Damaged Building Detector
Published:
DamageMap is a system composed of rapid buildings damage assessment and a convenient user interface for result visualization. 
AIRGAP: Assessing Inequality in Risk from Global Air Pollution
Published:
AIRGAP: Assessing Inequality in Risk from Global Air Pollution tool allows for the exploration and analysis of near-real time air quality and income inequality around the world based on sattelite data. 
publications
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
Macro to micro: microwave remote sensing of plant water content for physiology and ecology
Published in New Phytologist, 2019
This paper presents a short review for the use of microwave remote sensing of plant water.
Recommended citation: Konings, A.G., Rao, K. & Steele‐Dunne, S.C. (2019). Macro to Micro: Microwave Remote Sensing of Plant Water Content for Physiology and Ecology. New Phytol., nph.15808. https://nph.onlinelibrary.wiley.com/doi/full/10.1111/nph.15808
SAR-enhanced mapping of live fuel moisture content
Published in Remote Sensing of Environment, 2020
This paper presents a deep learning-based solution to rapidly estimate forest dryness across western USA.
Recommended citation: Rao, K., Williams, A.P., Fortin, J. & Konings, A.G. (2020). SAR-enhanced mapping of live fuel moisture content. Remote Sens. Environ., 245. https://www.sciencedirect.com/science/article/pii/S003442572030167X
talks
Stormwater drainage
Published:
This talk presented retrofitting measures for the storwater drainage system of the IIT Madras campus. The 650-acre campus’ stormwater drainage network is more than 50 years old fails frequently during big storms. The talk focussed on presenting a 3-phase expansion plan to include-
- New culverts at frequently-flooded areas with high traffic
- Stormwater drainage basin to control overflow from the campus lake
- Sustainable stormwater drainage elements such as swales, greenroofs, etc.
Satellite-Based Vegetation Optical Depth as an Indicator of Drought-driven Tree Mortality
Published: