Title :
Optical wireless sensor networks observe leaf phenology and photosynthetic radiation interception in a Brazilian tropical dry forest
Author :
Rankine, Cassidy J. ; Sanchez-Azofeifa, Arturo ; Espírito-Santo, Mário Marcos do ; Viera, Marco Túlio S
Author_Institution :
Dept. of Earth & Atmos. Sci., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
Seasonally Dry Tropical Forest (SDTF) ecosystems are of great interest to earth observation sciences due to their strong influence over land-atmosphere exchange of carbon and water in semi-arid environments. Current space and airborne earth observation remote sensing platforms provide coarse temporal resolution and low signal to noise ratios in SDTF canopy phenology time series. In order to obtain hyper-temporal phenology information we present here a ground-based optical wireless sensor network (WSN) to monitor in-situ the seasonality of the forest canopy in a tropical dry forest reserve located in the Sao Francisco river basin in southeastern Brazil. In 2007 a network of hemispherical photosynthetically active radiation (PAR) sensors was deployed in the understory of a mature secondary SDTF to capture intercepted light at sub-hourly intervals and wirelessly transmit data to a central data aggregator. The resulting time series provides detailed information on the vegetative phenology, spatial variation of intercepted PAR (FIPAR), and growing season parameters.
Keywords :
geophysical equipment; remote sensing; vegetation; wireless sensor networks; AD 2007; Brazilian tropical dry forest; Earth observation sciences; SDTF canopy phenology time series; SDTF ecosystems; airborne Earth observation; carbon land-atmosphere exchange; central data aggregator; coarse temporal resolution; forest canopy; ground-based optical wireless sensor network; hemispherical photosynthetically active radiation sensors; hyper-temporal phenology information; intercepted PAR; leaf phenology; low signal-to-noise ratios; optical wireless sensor networks; photosynthetic radiation; remote sensing platforms; seasonally dry tropical forest; semiarid environments; southeastern Brazil; time series; tropical dry forest; water land-atmosphere exchange; wirelessly transmit data; Biomedical optical imaging; Ecosystems; Optical sensors; Peak to average power ratio; Remote sensing; Wireless sensor networks; FIPAR; Optical Remote Sensing; Seasonally Dry Tropical Forests; Wireless Sensor Network;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352573