Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/24627
Τίτλος: Detecting changes in vegetation and climate that serve as early warning signal on land degradation using remote sensing: a review
Συγγραφείς: Eliades, Filippos 
Hadjimitsis, Diofantos G. 
Danezis, Chris 
Major Field of Science: Engineering and Technology
Λέξεις-κλειδιά: vegetation phenology;remote sensing;desertification;land degradation;early warning signals
Ημερομηνία Έκδοσης: 12-Σεπ-2021
Πηγή: Proceedings Volume 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, 2021
Project: ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment 
Conference: Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII 
Περίληψη: Desertification and land degradation have severe negative effects on land-use, water resources, soil stability, agriculture and biodiversity. Especially, drylands cover 33.8% of northern Mediterranean countries: approximately 69% of Spain and 66% of Cyprus. The European Environment Agency (EEA) indicated that 8% of the territory of the European Union (mostly in Bulgaria, Cyprus, Greece, Italy, Spain and Portugal) experience a ‘very high’ or ‘high sensitivity’ to desertification. For Cyprus Island, 9.68% of the land area was found to be susceptible to land degradation. The objective of this literature review is to provide a detailed synthesis of the main contributions of the global vegetation phenology research to the development of environmental knowledge, based on land degradation/ desertification and Earth observation (EO)-based science and technology. The study identifies the current fields of research and possible research gaps. To achieve this, more than 700 scientific papers were screened from which approximately 549 papers were reviewed, identifying and the state of land surfaces and vegetation phenology with remote sensing data. Most of the studies have as a central research object direct human-induced land degradation or the degradation of anthropogenic-modified landscapes, without having considered long-term un-altered natural vegetation, in order to assess the impact and the level of climate change. Hence, a detailed EO-based time-series monitoring and analysis of un-altered natural vegetation could provide indicators that may serve as early warning signals for the scale and level of climate change induced effects on vegetation and ecosystems that might lead to land degradation and even to desertification.
URI: https://hdl.handle.net/20.500.14279/24627
DOI: 10.1117/12.2600284
Rights: All rights reserved
Type: Conference Papers
Affiliation: Cyprus University of Technology 
ERATOSTHENES Centre of Excellence 
Εμφανίζεται στις συλλογές:Publications under the auspices of the EXCELSIOR H2020 Teaming Project/ERATOSTHENES Centre of Excellence

Αρχεία σε αυτό το τεκμήριο:
Αρχείο Περιγραφή ΜέγεθοςΜορφότυπος
9_10_2021_EXCELSIOR.pdf595.76 kBAdobe PDFΔείτε/ Ανοίξτε
CORE Recommender
Δείξε την πλήρη περιγραφή του τεκμηρίου

Page view(s)

257
Last Week
3
Last month
9
checked on 11 Μαϊ 2024

Download(s)

212
checked on 11 Μαϊ 2024

Google ScholarTM

Check

Altmetric


Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα