TY - GEN
T1 - Assessment of Sentinel-2 Spectral Features to Estimate Forest Height with the New GEDI Data
AU - Pereira-Pires, João E.
AU - Mora, André
AU - Aubard, Valentine
AU - Silva, João M. N.
AU - Fonseca, José M.
N1 - Funding Information:
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F30344%2F2017/PT#
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FSSI%2F0102%2F2017/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT#
Jo?o Eduardo Pereira-Pires thanks the Funda??o para a Ci?ncia e Tecnologia (FCT), Portugal for the Ph.D. Grant 2020.05015.BD.
Funding Information:
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FCCI-COM%2F30344%2F2017/PT#
info:eu-repo/grantAgreement/FCT/3599-PPCDT/PCIF%2FSSI%2F0102%2F2017/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00066%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00239%2F2020/PT#
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - The unprecedent availability of vertical structure forest data provided by NASA Global Ecosystem Dynamics Investigation (GEDI), allows the validation of new methodologies based on other Remote Sensing (RS) sensors for monitoring forest parameters, such as Forest Height (FH). Previously, studies on FH estimation implied in-situ measurements or acquiring LiDAR data, which was limited and expensive. Opposing to the sampling nature of GEDI mission, Sentinel-2 optical products has a high revisiting frequency and a high spatial resolution favoring the implementation of forest monitoring methodologies. This work presents a study on the correlation and usability of linear and exponential regressions for estimating FH through Sentinel-2 imagery. It was also exploited the advantages of making estimations by study area, or by specific land cover types. Overall, a R2 of 0.66 and a RMSE of 2.91 m were achieved, and in case of specifying the vegetation type were 0.83 and 2.40 m, respectively.
AB - The unprecedent availability of vertical structure forest data provided by NASA Global Ecosystem Dynamics Investigation (GEDI), allows the validation of new methodologies based on other Remote Sensing (RS) sensors for monitoring forest parameters, such as Forest Height (FH). Previously, studies on FH estimation implied in-situ measurements or acquiring LiDAR data, which was limited and expensive. Opposing to the sampling nature of GEDI mission, Sentinel-2 optical products has a high revisiting frequency and a high spatial resolution favoring the implementation of forest monitoring methodologies. This work presents a study on the correlation and usability of linear and exponential regressions for estimating FH through Sentinel-2 imagery. It was also exploited the advantages of making estimations by study area, or by specific land cover types. Overall, a R2 of 0.66 and a RMSE of 2.91 m were achieved, and in case of specifying the vegetation type were 0.83 and 2.40 m, respectively.
KW - Forest height
KW - GEDI
KW - LiDAR
KW - Parametric regressions
KW - Remote sensing
KW - Sentinel-2
UR - http://www.scopus.com/inward/record.url?scp=85111972571&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_12
DO - 10.1007/978-3-030-78288-7_12
M3 - Conference contribution
AN - SCOPUS:85111972571
SN - 978-3-030-78287-0
SN - 978-3-030-78290-0
T3 - IFIP Advances in Information and Communication Technology
SP - 123
EP - 131
BT - Technological Innovation for Applied AI Systems: 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa de Caparica, Portugal, July 7–9, 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -
