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App tutorial: Manan Sarupria and Matt Walter
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Impacts of climate change and variability on coastal landscapes
I am leading multiple projects examining the impacts of climate extremes and ongoing environmental changes on coastal landscapes. As part of a collaborative effort, we are examining the extent of salt-impacted farmlands across the Delmarva Peninsula (read paper here), and alternative uses of these lands for conservation. We recently published another paper where we quantified inundated area and mangrove damage in the coastal landscapes of India and Bangladesh after cyclone Amphan. In another recent paper, we examined the current distribution of Phragmites in estuarine wetlands across Delaware, USA. |
Interested in our ongoing saltwater intrusion work? Check out this GIS app - Salt Patch Mapper - for high-resolution land cover change data across Delmarva.
Vegetable vendor in central India, December 2015 (photo: Dr. Pinki Mondal)
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Implications of agricultural intensification for diet and nutrition in rural India
‘Hidden hunger’ – chronic deficiency of micronutrients – affects 2 billion people around the world. Smallholder farmers (owning <2 ha farmland) are one of the most vulnerable communities to such food and nutrition insecurity. To understand the seasonal fluctuations in food security and nutrient gaps, Dr. Mondal led an inter-disciplinary project in central India, collaborating with researchers from multiple academic institutions including Columbia University, Rutgers University, McGill University, Foundation for Ecological Security (Indian NGO) and Johns Hopkins University. Read our latest ERL paper here. |
Wheat field in central India (photo: Dr. Pinki Mondal)
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Agricultural sensitivity, climate variability, and future food security in South Asia
Agriculture provides sustenance and livelihood for ~70% of total population in India. Significant fluctuations in crop yields are projected for near future with expected changes in future climate, leading to serious concerns about food security of the growing Indian population. Dr. Mondal used multi-platform satellite time-series data (TRMM, MODIS, Landsat, and World View) along with district-level census data for irrigation, dominant crop type, crop yield, and socio-economic data to explore factors associated with changing crop covers in India. This project was funded through a NASA LCLUC grant awarded to Dr. Ruth DeFries. Read latest papers here, and here. |
