Time Series Analysis of Remote Sensing Data Training Course
Introduction
The Earth's surface is a dynamic system, constantly undergoing changes driven by natural processes and human activities. From seasonal vegetation cycles and long-term climate shifts to rapid deforestation and urban expansion, understanding these temporal dynamics is crucial for effective environmental management, resource monitoring, and climate change research. While single-snapshot remote sensing images provide valuable information at a specific point in time, it is the analysis of Time Series Remote Sensing Data that truly reveals patterns, trends, and anomalies in a dynamic world. Time series analysis involves acquiring, processing, and interpreting sequences of satellite or airborne images collected over regular intervals (e.g., daily, weekly, monthly, annually) spanning years or even decades. This approach enables the detection of subtle changes, quantification of rates of change, identification of cyclical patterns (phenology), and forecasting of future conditions, making it an indispensable tool for understanding Earth system processes and human-environment interactions. Without the specialized skills to handle and analyze these vast, multi-temporal datasets, professionals often struggle to unlock the full potential of remote sensing for monitoring dynamic phenomena, leading to incomplete insights and reactive management strategies. Many geospatial professionals are comfortable with static image analysis but find the complexities of managing and analyzing long temporal stacks of data challenging.
Conversely, mastering Time Series Analysis of Remote Sensing Data empowers professionals to track long-term environmental trends, identify drivers of change, detect disturbances in near real-time, and build robust models for prediction and early warning. This specialized skill set is crucial for transforming vast archives of satellite imagery into powerful, actionable insights that drive sustainable development, climate resilience, and informed decision-making. Our intensive 5-day "Time Series Analysis of Remote Sensing Data" training course is meticulously designed to equip GIS professionals, remote sensing analysts, environmental scientists, climate researchers, agriculturalists, foresters, urban planners, and data scientists with the essential theoretical knowledge and practical, hands-on skills required to confidently process, analyze, and interpret multi-temporal remote sensing data using various techniques and platforms, including cloud-based solutions like Google Earth Engine.
Duration
5 Days
Target Audience
The "Time Series Analysis of Remote Sensing Data" training course is ideal for a wide range of professionals and researchers who need to understand and quantify environmental and land surface changes over time using geospatial data. This includes:
Course Objectives
Upon successful completion of the "Time Series Analysis of Remote Sensing Data" training course, participants will be able to:
Course Modules
Module 1: Introduction to Time Series Remote Sensing
Module 2: Data Acquisition and Pre-processing for Time Series
Module 3: Visualizing and Exploring Time Series Data
Module 4: Vegetation Phenology and Indices Time Series
Module 5: Change Detection using Time Series Analysis
Module 6: Statistical Analysis of Time Series Data
Module 7: Cloud-Based Platforms for Time Series Analysis (Google Earth Engine)
Module 8: Advanced Topics, Applications, and Future Trends
CERTIFICATION
TRAINING VENUE
AIRPORT PICK UP AND ACCOMMODATION
TERMS OF PAYMENT
Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com
Dates | Fees | Location | Action |
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08/09/2025 - 12/09/2025 | $1,750 | Mombasa |
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22/09/2025 - 26/09/2025 | $1,500 | Nairobi |
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06/10/2025 - 10/10/2025 | $1,750 | Mombasa |
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20/10/2025 - 24/10/2025 | $1,500 | Nairobi |
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03/11/2025 - 07/11/2025 | $1,750 | Mombasa |
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17/11/2025 - 21/11/2025 | $1,500 | Nairobi |
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01/12/2025 - 05/12/2025 | $1,750 | Mombasa |
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08/12/2025 - 12/12/2025 | $1,500 | Nairobi |
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05/01/2026 - 09/01/2026 | $1,750 | Mombasa |
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26/01/2026 - 30/01/2026 | $1,500 | Nairobi |
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02/02/2026 - 06/02/2026 | $1,750 | Mombasa |
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26/01/2026 - 30/01/2026 | $1,500 | Nairobi |
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02/03/2026 - 06/03/2026 | $1,750 | Mombasa |
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23/03/2026 - 27/03/2026 | $1,500 | Nairobi |
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06/04/2026 - 10/04/2026 | $1,750 | Mombasa |
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04/05/2026 - 08/05/2026 | $1,500 | Nairobi |
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25/05/2026 - 29/05/2026 | $1,750 | Mombasa |
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01/06/2026 - 05/06/2026 | $1,750 | Mombasa |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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