6533b825fe1ef96bd1282088

RESEARCH PRODUCT

Potential of Automated Digital Hemispherical Photography and Wireless Quantum Sensors for Routine Canopy Monitoring and Satellite Product Validation

Erika AlberoErnesto Lopez-baezaChristophe LerebourgJadunandan DashMarco ClericiHarry MorrisAlexander KnohlLuke A. BrownCarolina Da Silva GomesGabriele BaiDarius S. CulvenorFrank TiedemannLukas SiebickeChristian LanconelliNadine Gobron

subject

010504 meteorology & atmospheric sciencesMean squared errorHemispherical photographyPhotographyQuantum sensor0211 other engineering and technologies02 engineering and technologyVegetation01 natural sciencesPhotosynthetically active radiationEnvironmental scienceSatelliteWireless sensor network021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensing

description

To better characterize the temporal dynamics of vegetation biophysical variables, a variety of automated in situ measurement techniques have been developed in recent years. In this study, we investigated automated digital hemispherical photography (DHP) and wireless quantum sensors, which were installed at two sites under the Copernicus Ground Based Observations for Validation (GBOV) project. Daily estimates of plant area index (PAI) and the fraction of absorbed photosynthetically active radiation (FAPAR) were obtained, which realistically described expected vegetation dynamics. Good correspondence with manual DHP and LAI-2000 data (RMSE = 0.39 to 0.90 for PAI, RMSE = 0.07 for FAPAR) provided confidence that the investigated approaches can deliver data of comparable quality to traditional in situ measurement techniques.

yearjournalcountryeditionlanguage
2021-10-122021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
https://doi.org/10.1109/igarss47720.2021.9553564