Completion

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Marginal Lands and Carbon Sequestration Analysis

Name: Marginal Lands and Carbon Sequestration Analysis
Price: 3837 INR

Learn to analyze marginal lands and estimate carbon sequestration using remote sensing and GIS techniques in this comprehensive course.

Course Cost

₹ 3,837

Intermediate

Skill Level

5 Weeks

Self-paced lessons

This course teaches students to understand and analyze Marginal Lands (MLs) using advanced remote sensing and GIS techniques. Students will learn methodologies for ML identification, classification, and carbon sequestration estimation. The course covers biomass estimation using optical sensors, RADAR, and LiDAR, along with practical applications in the Google Earth Engine platform. Based on the European MAIL project, participants will gain hands-on experience with large dataset manipulation and the MaiL Geoportal. The course includes self-evaluation questions, weekly practice exercises, and unit exams to ensure comprehensive learning.

Charalampos Georgiadis

Luis A. Ruiz

English

Charalampos Georgiadis

Luis A. Ruiz

What you'll learn

Understand the concept and definition of Marginal Lands

Master methodological approaches for identifying and classifying Marginal Lands

Learn forest biomass estimation techniques using optical sensors, RADAR, and LiDAR

Develop skills in carbon storage calculation and accounting

Gain practical experience with Google Earth Engine for Marginal Lands management

Skills you'll gain

Remote Sensing

GIS

Carbon Sequestration

Marginal Lands

Biomass Estimation

Google Earth Engine

Data Analysis

LiDAR

RADAR

Forest Management

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

There are 5 modules in this course

This course focuses on the analysis and management of Marginal Lands (MLs) using remote sensing and GIS technologies. It introduces students to ML identification methodologies, biomass estimation techniques using various sensors, and carbon sequestration calculation methods. The curriculum is based on the European MAIL project and includes practical applications using Google Earth Engine. Students learn to handle large datasets and use the MaiL Geoportal for efficient analysis. The course combines theoretical knowledge with practical exercises and includes regular assessments to ensure learning effectiveness.

Definition & descriptions of MLs

Module 1

Identification & classification of MLs

Module 2

Biomass estimation from remote sensing data

Module 3

Carbon storage and accounting

Module 4

GEE based platform for MLs management

Module 5

Fee Structure

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Course

Charalampos Georgiadis

Charalampos Georgiadis serves as Associate Professor at the School of Rural and Surveying Engineering at Aristotle University of Thessaloniki. His academic journey includes a Diploma in Rural and Surveying Engineering from AUTH, an M.Sc. in Protection, Preservation, and Restoration of Cultural Monuments, and a PhD from the Department of Spatial Information Science and Engineering at the University of Maine, USA

Course

Luis A. Ruiz

Luis A. Ruiz serves as Professor of Remote Sensing and Digital Image Processing at Universitat Politècnica de València, where he specializes in forest structure analysis and land use monitoring. His research focuses on developing innovative methods for forest fuel characterization using LiDAR technology and multispectral imagery. His expertise spans object-based image analysis for land use and land cover change detection, with particular emphasis on geodatabase updating and environmental monitoring. His work has significantly advanced the field of remote sensing applications in forestry and environmental science, combining traditional remote sensing techniques with cutting-edge object-oriented analysis methods. Through his research and teaching, he continues to pioneer new approaches in environmental monitoring and forest structure assessment, contributing to both theoretical advancement and practical applications in the field.

Course

Lampros Papalampros

Lampros Papalampros serves as Forest Engineer while pursuing his PhD in Geodesy and Surveying at Aristotle University of Thessaloniki. His research focuses on innovative 3D capture technologies for monitoring natural environments. Since joining HOMEOTECH in 2007, he has developed extensive expertise in forest management, cadastral surveys, and environmental programs. His professional experience since 2004 includes significant contributions to LIFE programs and environmental research initiatives. His current doctoral research combines traditional forestry knowledge with advanced surveying techniques, particularly focusing on developing new methodologies for environmental monitoring and forest management. His work in natural environment monitoring has practical applications in wildfire risk assessment and forest structure analysis, contributing to better understanding and management of forest ecosystems.

Course

Michał Krupiński

Michał Krupiński serves as Geomatics Specialist at the Space Research Centre of the Polish Academy of Sciences, where he focuses on developing novel methods for satellite imagery classification and analysis. His research interests encompass imaging spectroscopy, multifractal analysis, marginal lands assessment, and ecosystem services. His work has contributed significantly to automated land cover classification and hyperspectral image analysis, with notable publications in remote sensing journals. His expertise includes developing multifractal description methods for satellite imagery and creating training datasets for land cover mapping. As a researcher, he has participated in numerous scientific and R&D projects focused on geospatial data analysis, contributing to both theoretical advancement and practical applications in remote sensing technology.

Course

Maria Tassopoulou

Maria Tassopoulou serves as Senior Researcher at the Laboratory of Photogrammetry and Remote Sensing at Aristotle University of Thessaloniki since 2014. Her research focuses on geospatial technologies and their applications in environmental monitoring, with expertise spanning photogrammetry, geographic information systems, remote sensing, cartography, and 3D modeling. Her work includes significant contributions to understanding Essential Variables (EVs) in remote sensing and their application to Sustainable Development Goals implementation

Course

Natalia Verde

Natalia Verde serves as Surveying Engineer at Aristotle University of Thessaloniki, where she specializes in mapping Sustainable Development Goals (SDGs) indicators using remote sensing and cloud computing technologies. Her doctoral research focuses on developing innovative methodologies for monitoring SDG implementation at national scales, combining advanced coding skills with expertise in geographic information systems and photogrammetry. Her work bridges the gap between traditional surveying techniques and modern technological applications, particularly in developing new approaches for environmental monitoring and sustainability assessment. Through her research, she contributes to advancing the field of remote sensing and its practical applications in sustainable development, focusing on creating efficient methods for tracking and measuring progress toward global sustainability goals.

Course

Eleftherios Mystakidis

Eleftherios Mystakidis serves as Forest Engineer at HOMEOTECH since 2013, where he specializes in GIS applications, database management, and field surveying for environmental projects. His expertise encompasses forest management, fire protection planning, road construction, and protected area management. His work combines technical knowledge with practical field experience, particularly in data collection and environmental surveying. He has contributed to numerous forest and environmental studies, focusing on sustainable forest management and conservation. His role includes developing and implementing GIS solutions for environmental monitoring, conducting field surveys, and preparing comprehensive management plans for natural areas. Through his work, he helps bridge the gap between theoretical environmental planning and practical implementation of forest management strategies.

Course

Bettina Felten

Bettina Felten serves as GIS and Remote Sensing Specialist at IABG Geodata Factory in Dresden since 2018, where she specializes in automated image analysis for remote projects. Her expertise stems from her Master's degree in Geo-Information Science and Remote Sensing from Wageningen University and Research. Her work focuses on developing and implementing automated analysis techniques for complex spatial data, contributing to environmental monitoring and infrastructure assessment projects. As part of IABG's technical team, she applies her knowledge of geographic information systems and remote sensing to create efficient solutions for processing and analyzing spatial data, particularly in automated image analysis applications.

Course

Samuel Nyarko

Samuel Nyarko serves as Co-founder of the Integrated Geospatial Intelligence Application Centre Ghana while pursuing his Master's in Big Data and Artificial Intelligence at SRH Berlin University of Applied Science. His research focuses on combining computer vision with remote sensing applications, particularly for mineral resource exploration and object detection. His work spans natural language processing and geospatial artificial intelligence, with significant contributions to machine translation projects for Ghanaian languages. His publications include groundbreaking work on English-Twi parallel corpus development and NLP applications for Ghanaian languages

Course

Fernando Bezares

Fernando Bezares serves as Environmental Engineer at Fundación Cesefor, specializing in geographic information systems for forestry applications. His expertise includes developing remote sensing methodologies for United Nations Sustainable Development Goals while working at the FAO. A graduate of the inaugural Data Forest Master's program at the University of Valladolid (2017-2019), his master's thesis on automatic forest mass segmentation using LiDAR and Sentinel-2 data earned recognition at the SECF 2019 awards. His work at Cesefor's IT department focuses on integrating advanced remote sensing technologies with forestry management practices, contributing to the development of automated forest analysis tools and sustainable resource management strategies.

Course

Jesús Torralba Pérez

Jesús Torralba Pérez serves as a PhD candidate in Geomatics Engineering at the Universitat Politècnica de València's GeoEnvironmental Cartography and Remote Sensing Group (CGAT). His research focuses on characterizing forest structure and fuel through integrated analysis of Terrestrial Laser Scanning (TLS), airborne LiDAR, and imaging technologies. After completing his Forestry and Natural Environmental Engineering degree at the University of Castilla-La Mancha and a master's in Remote Sensing from Universidad Mayor in Chile, he began his doctoral research in 2017. His work combines advanced remote sensing techniques with forest resource management, particularly focusing on Mediterranean forest environments in the context of climate change. His expertise spans forest structure analysis, fuel characterization, and the application of multiple remote sensing technologies for environmental monitoring and management.

Course

Juan Pedro Carbonell-Rivera

Juan Pedro Carbonell-Rivera serves as a PhD candidate in Geomatics Engineering at Universitat Politècnica de València, specializing in forest structure characterization using UAV-derived imagery. His academic background includes a degree in Geomatics and Topography from UPV, complemented by two master's degrees: Geomatic Engineering and Geoinformation from UPV and an International Master in Geomatics from Hochschule Karlsruhe – Technik und Wirtschaft. Since 2018, his doctoral research has focused on developing innovative methods for analyzing forest structures using unmanned aerial vehicle technology. His work combines advanced photogrammetric techniques with forestry applications, contributing to the advancement of precision forestry and environmental monitoring through drone-based remote sensing.

Intermediate

Skill Level

5 Weeks

Self-paced lessons

Course Cost

₹ 3,837

Completion

CERTIFICATE

Frequently asked Questions

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Marginal Lands and Carbon Sequestration Analysis

What you'll learn

Skills you'll gain

This course includes:

Get a Completion Certificate

Get a Completion Certificate

Top companies offer this course to their employees

There are 5 modules in this course

Definition & descriptions of MLs

Skills you'll gain

Identification & classification of MLs

Skills you'll gain

Biomass estimation from remote sensing data

Skills you'll gain

Carbon storage and accounting

Skills you'll gain

GEE based platform for MLs management

Skills you'll gain

Fee Structure

Reviews

Faculties

Frequently asked Questions

Who should take this course?

What will I learn?

How is the course structured?

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