Meghavi is a Senior Faculty Specialist in the Department of Geographical Sciences at the University of Maryland. Previously, she worked as a Remote Sensing and GIS Expert at the Mahalanobis National Crop Forecast Centre, New Delhi, where she focused on agriculture monitoring, drought assessment, and crop insurance using a combination of microwave and optical satellite data and in-situ data. She also served as a Scientist at the North Eastern Space Application Centre under the Indian Space Research Organization (ISRO), where she worked on different projects of disaster risk reduction, specifically agriculture damages. At ISRO, she utilized high-resolution unmanned aerial vehicle (UAV) imageries for precision farming and disaster mitigation. She also developed the Google Earth Engine code for time series analysis of river islands, national parks, and river dynamics studies. She has also worked at the Center for Artificial Intelligence & Robotics, Defense Research and Development Organization (DRDO), Bengaluru, India, where her research was focused on the study of different classification and dimension reduction techniques for classification of Hyperspectral Imageries. Throughout her career, she has traveled extensively for studies and fieldwork. She is passionate about traveling and exploring new places, as she believes that it helps to stimulate creative thoughts, provides practical education, and broadens horizons.

Areas of Interest

  • Remote Sensing
  • Machine Learning
  • Spatial Econometrics
  • Vegetation Monitoring

Degrees

  • Degree Type
    MS
    Degree Details
    Spatial Information Technology (Geo-Informatics)
  • Degree Type
    B.tech
    Degree Details
    Electronics and Communication Engineering
  • Drought Impact on Rice Cultivation Area Reduction, as observed using Multi-date SAR data
  • Rice Flooded Area Assessment in West Bengal and Assam using RISAT-1 SAR data
  • Site suitability Analysis for growing short duration legumes in post kharif rice-rabi fallows
  • A comparative review of dimensionality reduction techniques: In perspective to Hyper spectral Imagery classification
  • Flood Damage Assessment of Kharif Rice Crop Using Geospatial Technology
  • Crop Discrimination Using Spectral, Spatial And Height Variation using Multispectral Sensor Onboard Unmanned Aerial Vehicle (UAV)
  • Application of Unmanned Aerial Vehicle (UAV) in Disaster Support
  • Assessment of agricultural condition in North Eastern States of India
  • Mahalanobis National Crop Forecast center , Ministry of Agriculture , New Delhi
  • North Eastern Space Application Center
  • Indian Space Research Organization
  • Haryana Space Application Centre
  • Center for Artificial Intelligence & Robotics, Defense Research and Development Organization (DRDO)
Meghavi_P
4600 River Road, Suite 309A3 (send mail to 2181 LeFrak)
Department of Geographical Sciences
Email
meghavi [at] umd.edu