TY - GEN
T1 - Spectral sensing for dry matter biomass estimation of energy crops
AU - Ahamed, Tofael
AU - Tian, Lei
AU - Gadanah, Casimiro
AU - Pinto, Francisco A.C.
AU - Liu, Hx
AU - Ting, K. C.
PY - 2010
Y1 - 2010
N2 - Spectrometry and canopy analyses have been conducted to determine the suitable vegetative indices for estimating the amount of dry matter biomass of energy crops. The ground truth agronomic data were collected to correlate with image information captured from the top of a 38 m tower using multispectral camera on Miscanthus, Corn, Prairie grass and Switch grass. Four 8 m x 8 m plots were selected inside the four hectare field to track the vegetation changes over the growing season. The Vegetation Index (VI), Leaf Area Index (LAI), and intercepted Photosynthetically Active Radiation (PAR) of energy crops have been measured to develop model for predicting dry matter biomass. The central wavelengths for Green (550 nm), Red (670 nm), Red edge (700 and 750 nm), and NIR (800 nm) have been chosen for calculating several indices, NDVI and GNDVI. Color Infrared (CIR) images captured from the tower camera have been analyzed for four experimental plots to correlate ground truth data and the image information. Ortho-rectification and geo-referencing of images have been developed based on the Ground Control Points (GCP) collected by an RTK-GPS unit. The biomass yield and energy content are to be compared using remote sensing models for ground reference data and tower based multispectral images. The correlation with agronomic databases and spectral data is further research to evaluate for the validation and modification of sensing and data processing system.
AB - Spectrometry and canopy analyses have been conducted to determine the suitable vegetative indices for estimating the amount of dry matter biomass of energy crops. The ground truth agronomic data were collected to correlate with image information captured from the top of a 38 m tower using multispectral camera on Miscanthus, Corn, Prairie grass and Switch grass. Four 8 m x 8 m plots were selected inside the four hectare field to track the vegetation changes over the growing season. The Vegetation Index (VI), Leaf Area Index (LAI), and intercepted Photosynthetically Active Radiation (PAR) of energy crops have been measured to develop model for predicting dry matter biomass. The central wavelengths for Green (550 nm), Red (670 nm), Red edge (700 and 750 nm), and NIR (800 nm) have been chosen for calculating several indices, NDVI and GNDVI. Color Infrared (CIR) images captured from the tower camera have been analyzed for four experimental plots to correlate ground truth data and the image information. Ortho-rectification and geo-referencing of images have been developed based on the Ground Control Points (GCP) collected by an RTK-GPS unit. The biomass yield and energy content are to be compared using remote sensing models for ground reference data and tower based multispectral images. The correlation with agronomic databases and spectral data is further research to evaluate for the validation and modification of sensing and data processing system.
KW - Biomass yield
KW - Energy content
KW - Ground control points
KW - Leaf area index
KW - Photosynthetically active radiation
KW - Vegetative indices
UR - https://www.scopus.com/pages/publications/78649692301
UR - https://www.scopus.com/pages/publications/78649692301#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:78649692301
SN - 9781617388354
T3 - American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
SP - 1956
EP - 1970
BT - American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010
PB - American Society of Agricultural and Biological Engineers
ER -