TY - JOUR
T1 - Aligning citizen science and remote sensing phenology observations to characterize climate change impact on vegetation
AU - Domingo-Marimon, Cristina
AU - Masó, Joan
AU - Prat, Ester
AU - Zabala, Alaitz
AU - Serral, Ivette
AU - Batalla, Meritxell
AU - Ninyerola, Miquel
AU - Cristóbal, Jordi
N1 - Publisher Copyright:
© 2022 The Author(s). Published by IOP Publishing Ltd.
PY - 2022/8/1
Y1 - 2022/8/1
N2 - Phenology observations are essential indicators to characterize the local effects of climate change. Citizen participation in the collection of phenological observations is a potential approach to provide data at both high temporal scale and fine grain resolution. Traditional observation practices of citizen science (CS), although precise at the species scale, are limited to few observations often closely located to an observer’s residence. These limitations hinder coverage of the great variability of vegetation phenology across biomes and improvement of the knowledge of vegetation changes due to climate change impacts. This study presents a new approach to overcome these limitations by improving CS guidance and feedback as well as expanding phenology report sites and observations across different habitats and periods to contribute to monitoring climate change. This approach includes: (a) a new methodology focused on harmonizing remote sensing phenology products with traditional CS phenology observations to direct volunteers to active phenology regions and, (b) a new protocol for citizen scientists providing tools to guide them to specific regions to identify, collect and share species phenological observations and their phenophases. This approach was successfully tested, implemented and evaluated in Catalonia with more than 5000 new phenologically interesting regions identified and more than 200 observations collected and Sentinel-2 derived phenometrics were demonstrated as of good quality.
AB - Phenology observations are essential indicators to characterize the local effects of climate change. Citizen participation in the collection of phenological observations is a potential approach to provide data at both high temporal scale and fine grain resolution. Traditional observation practices of citizen science (CS), although precise at the species scale, are limited to few observations often closely located to an observer’s residence. These limitations hinder coverage of the great variability of vegetation phenology across biomes and improvement of the knowledge of vegetation changes due to climate change impacts. This study presents a new approach to overcome these limitations by improving CS guidance and feedback as well as expanding phenology report sites and observations across different habitats and periods to contribute to monitoring climate change. This approach includes: (a) a new methodology focused on harmonizing remote sensing phenology products with traditional CS phenology observations to direct volunteers to active phenology regions and, (b) a new protocol for citizen scientists providing tools to guide them to specific regions to identify, collect and share species phenological observations and their phenophases. This approach was successfully tested, implemented and evaluated in Catalonia with more than 5000 new phenologically interesting regions identified and more than 200 observations collected and Sentinel-2 derived phenometrics were demonstrated as of good quality.
KW - Citizen science
KW - Phenology
KW - Sentinel-2
KW - Time-series
KW - Phenometrics
KW - Remote sensing
UR - https://ddd.uab.cat/record/288409
UR - http://www.scopus.com/inward/record.url?scp=85136079877&partnerID=8YFLogxK
U2 - 10.1088/1748-9326/ac8499
DO - 10.1088/1748-9326/ac8499
M3 - Article
SN - 1748-9326
VL - 17
JO - Environmental Research Letters
JF - Environmental Research Letters
IS - 8
M1 - 085007
ER -