Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra
This poster has been presented at the 2023 ASSW conference in Vienna, Austria, and describes the ongoing activities aimed at extracting GGP indexes of the tundra vegetation in Svalbard (NO) using the micro satellite VENmS and in situ- measurements of GPP for validation. Satellite data are particular...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Conference Object |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://zenodo.org/record/7673906 https://doi.org/10.5281/zenodo.7673906 |
id |
ftzenodo:oai:zenodo.org:7673906 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:7673906 2023-05-15T14:55:40+02:00 Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra MARIASILVIA GIAMBERINI Francesca Avogadro di Valdengo Ilaria Baneschi Alice Baronetti Arnon Karnieli Marta Magnani Antonio Monteiro Brunella Raco Manuel Salvoldi Gianna Vivaldo Antonello Provenzale 2023-02-24 https://zenodo.org/record/7673906 https://doi.org/10.5281/zenodo.7673906 eng eng doi:10.5281/zenodo.7673905 https://zenodo.org/communities/igg-cnr-czo https://zenodo.org/record/7673906 https://doi.org/10.5281/zenodo.7673906 oai:zenodo.org:7673906 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode tundra arctic gross primary productivity Svalbard remote sensing flux chambers info:eu-repo/semantics/lecture presentation 2023 ftzenodo https://doi.org/10.5281/zenodo.767390610.5281/zenodo.7673905 2023-03-11T03:47:11Z This poster has been presented at the 2023 ASSW conference in Vienna, Austria, and describes the ongoing activities aimed at extracting GGP indexes of the tundra vegetation in Svalbard (NO) using the micro satellite VENmS and in situ- measurements of GPP for validation. Satellite data are particularly valuable in the High Arctic, where acquiring in situ data is particularly challenging. Such data in the VIS-NIR spectrum allow the assessment of the tundra soil-vegetation dynamics and in particular the spatiotemporal changes in vegetation biomass and the estimate of vegetation gross primary productivity (GPP). Due to the limited number of summer cloud free days during summer in such environment, the 1-day revisit time of the new experimental VENμS satellite operating in the VIS-NIR spectrum (https://venus.cnes.fr/en/VENUS/index.htm) is a significant advantage. Moreover, the 4 meters resolution of VENμS may successfully capture the tundra heterogeneity. In this work we present the preliminary results of the summer 2022 acquisition of VENμS images on the Brøgger peninsula in Svalbard (NO) compared with In Situ GPP and climatic variables measured in the tundra near Ny Ålesund. Our final aim at the end of at least two years acquisition is to develop new indices specific for the tundra for (a) assessing GPP and vegetation phenology and (b) exploiting the four VENµS red-edge bands for calculating several other specific vegetation indices. VENμS data and derived products will be open and respond to FAIR principles. Moreover, through VENµS data, we will have the opportunity to compare the spatial extent and vegetation biomass between VENµS and Sentinel-2 derived products and to generalise the results in other remote sites of the Brøegger peninsula. Conference Object Arctic Ny Ålesund Ny-Ålesund Svalbard Tundra Zenodo Arctic Svalbard Ny-Ålesund Venus ENVELOPE(-57.842,-57.842,-61.925,-61.925) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
tundra arctic gross primary productivity Svalbard remote sensing flux chambers |
spellingShingle |
tundra arctic gross primary productivity Svalbard remote sensing flux chambers MARIASILVIA GIAMBERINI Francesca Avogadro di Valdengo Ilaria Baneschi Alice Baronetti Arnon Karnieli Marta Magnani Antonio Monteiro Brunella Raco Manuel Salvoldi Gianna Vivaldo Antonello Provenzale Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
topic_facet |
tundra arctic gross primary productivity Svalbard remote sensing flux chambers |
description |
This poster has been presented at the 2023 ASSW conference in Vienna, Austria, and describes the ongoing activities aimed at extracting GGP indexes of the tundra vegetation in Svalbard (NO) using the micro satellite VENmS and in situ- measurements of GPP for validation. Satellite data are particularly valuable in the High Arctic, where acquiring in situ data is particularly challenging. Such data in the VIS-NIR spectrum allow the assessment of the tundra soil-vegetation dynamics and in particular the spatiotemporal changes in vegetation biomass and the estimate of vegetation gross primary productivity (GPP). Due to the limited number of summer cloud free days during summer in such environment, the 1-day revisit time of the new experimental VENμS satellite operating in the VIS-NIR spectrum (https://venus.cnes.fr/en/VENUS/index.htm) is a significant advantage. Moreover, the 4 meters resolution of VENμS may successfully capture the tundra heterogeneity. In this work we present the preliminary results of the summer 2022 acquisition of VENμS images on the Brøgger peninsula in Svalbard (NO) compared with In Situ GPP and climatic variables measured in the tundra near Ny Ålesund. Our final aim at the end of at least two years acquisition is to develop new indices specific for the tundra for (a) assessing GPP and vegetation phenology and (b) exploiting the four VENµS red-edge bands for calculating several other specific vegetation indices. VENμS data and derived products will be open and respond to FAIR principles. Moreover, through VENµS data, we will have the opportunity to compare the spatial extent and vegetation biomass between VENµS and Sentinel-2 derived products and to generalise the results in other remote sites of the Brøegger peninsula. |
format |
Conference Object |
author |
MARIASILVIA GIAMBERINI Francesca Avogadro di Valdengo Ilaria Baneschi Alice Baronetti Arnon Karnieli Marta Magnani Antonio Monteiro Brunella Raco Manuel Salvoldi Gianna Vivaldo Antonello Provenzale |
author_facet |
MARIASILVIA GIAMBERINI Francesca Avogadro di Valdengo Ilaria Baneschi Alice Baronetti Arnon Karnieli Marta Magnani Antonio Monteiro Brunella Raco Manuel Salvoldi Gianna Vivaldo Antonello Provenzale |
author_sort |
MARIASILVIA GIAMBERINI |
title |
Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
title_short |
Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
title_full |
Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
title_fullStr |
Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
title_full_unstemmed |
Combining Novel High Resolution Remote Sensing and In Situ data for Monitoring the High Arctic Tundra |
title_sort |
combining novel high resolution remote sensing and in situ data for monitoring the high arctic tundra |
publishDate |
2023 |
url |
https://zenodo.org/record/7673906 https://doi.org/10.5281/zenodo.7673906 |
long_lat |
ENVELOPE(-57.842,-57.842,-61.925,-61.925) |
geographic |
Arctic Svalbard Ny-Ålesund Venus |
geographic_facet |
Arctic Svalbard Ny-Ålesund Venus |
genre |
Arctic Ny Ålesund Ny-Ålesund Svalbard Tundra |
genre_facet |
Arctic Ny Ålesund Ny-Ålesund Svalbard Tundra |
op_relation |
doi:10.5281/zenodo.7673905 https://zenodo.org/communities/igg-cnr-czo https://zenodo.org/record/7673906 https://doi.org/10.5281/zenodo.7673906 oai:zenodo.org:7673906 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.767390610.5281/zenodo.7673905 |
_version_ |
1766327684029218816 |