Ambadipudi Jaya Prakash

Experienced geospatial analyst and spatial ecologist with expertise in satellite imagery analysis, geospatial data integration, and advanced AI applications. Research focuses on forest carbon/biomass accounting, phenology modeling, and understanding complex interactions between ecosystems, climate systems, and global change. Proficient in Python, R, and JavaScript, with hands-on experience in cloud computing platforms and image processing software.

• Android Development from Udemy Course
• Introduction to Machine Learning Models for GIS applications from Udemy
• Python from Lean Vern
• Advanced Remote Sensing Techniques
• Geospatial Data Analysis and Management
• Machine Learning for Environmental Data
• Advanced Python for Data Science
• Big Data Analytics in Environmental Sciences
• Cloud Computing for Geospatial Analysis
• Deep Learning for Remote Sensing Applications
• Statistical Modelling and Spatial Data Analysis
• Open-Source GIS Platforms
• Environmental Modelling and Simulation
  

• International Conference on "Geospatial Pathways and Big Data Analytics" at Central University of Jharkhand (CUJ), Ranchi
• Workshop on Geospatial Analysis of Environmental Data by Dr. Pierre Goovaerts at National Institute of Technology Karnataka (NITK), Surathkal
• Workshop on Introduction to Microwave Remote Sensing by Dr. Y.S. Rao at National Institute of Technology Karnataka (NITK), Surathkal
• 3rd International Workshop on Biodiversity and Climate Change - Sustainable Development Perspective at Indian Institute of Technology Kharagpur (IIT Kharagpur)
• American Geophysical Union (AGU) Annual Meeting 2023, San Francisco, CA 12/11/23-12/15/23

• Nature-Based Solutions: Blue Carbon: Forestry: Soil Carbon & Agriculture
• Biodiversity: Aboveground Biomass sampling: Carbon mapping: Leaf Phenology Dynamics
• Causal inference: Climate modelling : Physical Mechanism
• Conservation science: Data science: Field scientist
• Fire dynamics: Forest carbon: Carbon ratings
• Geoinformatics: Geostatistics : Net zero
• Geospatial sciences: Process models: Sustainable Development Goals

• Assessment of tropical cyclone amphan affected inundation areas using sentinel-1 satellite data, Behera, M. D., Prakash, J., Paramanik, S., Mudi, S., Dash, J., Varghese, R., ... & Srivastava, P. K., Tropical Ecology, 2021, 1-11
• Recent rise in wildfires in community forests and other natural vegetation: geospatial basis, Mudi, S., Behera, M. D., Paramanik, S., Prakash, A. J., & Prusty, B. K., Current Science, 2021, 121, 7, 891-893
• A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest, Prakash, A. J., Behera, M. D., Ghosh, S. M., Das, A., & Mishra, D. R., Ecological Informatics, 2022, 72, 101900
• Predicting the forest canopy height from LiDAR and multi-sensor data using machine learning over India, Ghosh, S. M., Behera, M. D., Kumar, S., Das, P., Prakash, A. J., Bhaskaran, P. K., ... & Behera, S. K., Remote Sensing, 2022, 14, 23, 5968
• Impact of extreme weather events on cropland inundation over Indian subcontinent, Prakash, A. J., Kumar, S., Behera, M. D., Das, P., Kumar, A., & Srivastava, P. K., Environmental Monitoring and Assessment, 2023, 195, 1, 50
• Moderate resolution LAI prediction using Sentinel-2 satellite data and indirect field measurements in Sikkim Himalaya, Mudi, S., Paramanik, S., Behera, M. D., Prakash, A. J., Deep, N. R., Kale, M. P., ... & Shrestha, D. G., Environmental Monitoring and Assessment, 2022, 194, 12, 897
• Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning, Singh, R. K., Biradar, C. M., Behera, M. D., Prakash, A. J., Das, P., Mohanta, M. R., ... & Rizvi, J., Ecological Informatics, 2024, 79, 102408
• Dominant Expression of SAR Backscatter in Predicting Aboveground Biomass: Integrating Multi-Sensor Data and Machine Learning in Sikkim Himalaya, Prakash, A. J., Mudi, S., Paramanik, S., Behera, M. D., Shekhar, S., Sharma, N., & Parida, B. R., Journal of the Indian Society of Remote Sensing, 2024, 1-13
• Do Tropical Moist Deciduous forests fix more Carbon owing to weak Phenophases in synergy with available soil moisture?, Prakash, A. J., Behera, M. D., Singh, C. P., Chockalingam, J., & Singh, B., AGU Annual Meeting 2023, San Francisco, CA 12/11/23-12/15/23