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Authors: Irini Soubry 1 ; Ioannis Manakos 2 and Chariton Kalaitzidis 3

Affiliations: 1 Department of Geography and Planning, University of Saskatchewan, SK S7N 5C8, Canada ; 2 Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki 57001, Greece ; 3 Department of Geoinformation in Environmental Management, Mediterranean Agronomic Institute of Chania, 73100 Crete, Greece

Keyword(s): Land Surface Phenology, Data Fusion, Satellite Synergies, Phenology Metrics, Global Phenology Networks, Global Phenology Products.

Abstract: Vegetation phenology refers to changes in seasonal patterns of vegetation cycles, such as flowering and leaf fall, influenced by annual and seasonal fluctuations of biotic and abiotic drivers. Information about phenology is crucial for unravelling the underlying biological processes across vegetation communities in space and time. It is also important for ecosystem and resources management, conservation, restoration, policy and decision-making on local, national, and global scales. Numerous approaches to register Land Surface Phenology (LSP) appeared since Earth Observation from space became possible a few decades ago. This paper attempts to capture current progress and new capacities that arose with the advent of the free data policy, the Sentinel-era, new multispectral satellite sensors, cloud computing, and machine learning in LSP for natural and semi-natural environments. Spaceborne sensors’ capacity to capture LSP, data fusion, and synergies are discussed. Information about retr ieval methods through open-source tools and global LSP products and phenology networks are presented. (More)

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Paper citation in several formats:
Soubry, I.; Manakos, I. and Kalaitzidis, C. (2021). Recent Advances in Land Surface Phenology Estimation with Multispectral Sensing. In Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-503-6; ISSN 2184-500X, SciTePress, pages 134-145. DOI: 10.5220/0010555801340145

@conference{gistam21,
author={Irini Soubry. and Ioannis Manakos. and Chariton Kalaitzidis.},
title={Recent Advances in Land Surface Phenology Estimation with Multispectral Sensing},
booktitle={Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2021},
pages={134-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010555801340145},
isbn={978-989-758-503-6},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - Recent Advances in Land Surface Phenology Estimation with Multispectral Sensing
SN - 978-989-758-503-6
IS - 2184-500X
AU - Soubry, I.
AU - Manakos, I.
AU - Kalaitzidis, C.
PY - 2021
SP - 134
EP - 145
DO - 10.5220/0010555801340145
PB - SciTePress