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Program 1: Earth Observation for Carbon Cycle Studies
About this Course:
In the present context, Earth Observation (EO) satellites operated in optical/thermal and microwave domains with frequent revisit and improved spatial resolution providing periodic monitoring of vegetation biomass carbon and ecosystem-scale carbon exchanges (GPP/NEP) with ground validation using covariance (EC) towers for informed decision making on carbon management, region policy on carbon emission targets, and input to national climate change programs. Furthermore,
availability of new airborne sensors, unmanned aerial vehicle (UAV), sun-induced fluorescence sensors supported with in site observation and process-based models are providing newer dimensions to precise carbon cycle studies and geospatial carbon accounting using earth observation sensors.
Course Contents
• Role of EO in Carbon Cycle Assessment : Status, Challenges and Issues
• Measuring Ecosystem Carbon Exchange : Observational network, Instrumentation and advanced sensors
• Up-scaling and Modeling of Carbon fluxes: Remote Sensing and Process-based modeling
• Earth Observation and its role in Vegetation Carbon Pool Assessment
• Earth Observation and its role in Soil Organic Carbon (SOC) Assessment
Course Fee
There is no course fee for attending this program
Award of Certificate: All the participants who attend 70% sessions of the course live via eclass portal
Program 2: Overview of Web GIS Technology
In this Program students will learn about different web based technologies Web Designing, HTML, JavaScript, Data Bases, SQL, GIS Technology and many more
Program 3: Machine Learning to Deep Learning – A journey for remote sensing data classification
This is a five days short course on Machine learning to Deep Learning: A journey for remote sensing data classification The short course is scheduled from June 1, 2020..
Course Content and Schedule:
5th July, 2021
(16.00Hrs-17.30Hrs) – Remote Sensing and its sensors of various resolutions. Radiometry and Geometric corrections and Basic understanding of Image.
6th July, 2021
(16.00Hrs-17.30Hrs) – Basic classifier to Machine Learning – A Journey.
7th July, 2021
(16.00Hrs-17.30Hrs) – Methods in Machine Learning: Supervised, Unsupervised and Reinforcement
8th July, 2021
(16.00Hrs-17.30Hrs) – Fuzzy based machine learning with application in Temporal data processing
9th July, 2021
(16.00Hrs-17.30Hrs) – Network based Learning algorithms – ANN to CNN/RNN
Course Fee
There is no course fee for attending this program
Award of Certificate: All the participants who attend 70% sessions of the course live via eclass portal
