The goal of Anjali’s research is to advance the understanding of soil–vegetation–water interactions using cutting-edge dual-frequency NISAR observations. Her work focuses on improving the retrieval and interpretation of soil moisture and vegetation water content across India’s diverse agricultural systems, where heterogeneity in cropping patterns, irrigation practices, and climatic conditions poses significant challenges to current remote sensing models. By integrating agricultural and hydrological perspectives, she aims to develop and validate machine learning–based approaches that leverage NISAR’s L-band (~24 cm) and S-band (~10 cm) radar capabilities to better separate soil and vegetation signals.
Her research will be implemented in the Kabini Basin, Karnataka, a well-instrumented region representing both rainfed and irrigated farming systems. Through this work, Anjali seeks to enhance the accuracy of soil moisture retrievals and improve our understanding of the coupled soil-plant-atmosphere continuum. Ultimately, her research will contribute to climate-resilient agriculture, water resource management, and the effective utilization of next-generation radar missions like NISAR for hydrological and agricultural applications.
Education
BTech, Civil Engineering | Thejus Engineering College, Thrissur, Kerala
MTech, Water Resources Engineering | Indian Institute of Science, Bangalore