TY - GEN
T1 - Estimating biomass of rice in farmers' fields by red-edge indices
AU - Gnyp, Martin Leon
AU - Yu, Kang
AU - Miao, Yuxin
AU - Bareth, Georg
PY - 2014/6/28
Y1 - 2014/6/28
N2 - Biomass is an important parameter that has a decisive influence on the final yield. Destructive measurements of biomass are time-consuming and labor-intensive. Proximal sensing methods using field spectrometers offer indirect observation and estimation of biomass. For this purpose, farmers' fields were investigated in a two-year growing season of rice and canopy reflectance was measured by spectrometers. Several vegetation indices (VIs) and multiple linear regression (MLR) models based on bands around the red-edge domain (680-760 nm) were tested. Published rededge VIs were generally prone to saturation, whereas MLR models and the Ratio of Reflectance Difference Index in the red-edge (RRDIre) were less influenced by saturation. The linearly tested MLR (based on VIs) and the RRDIre models provided the best performance for biomass estimation in model validation using an independent dataset.
AB - Biomass is an important parameter that has a decisive influence on the final yield. Destructive measurements of biomass are time-consuming and labor-intensive. Proximal sensing methods using field spectrometers offer indirect observation and estimation of biomass. For this purpose, farmers' fields were investigated in a two-year growing season of rice and canopy reflectance was measured by spectrometers. Several vegetation indices (VIs) and multiple linear regression (MLR) models based on bands around the red-edge domain (680-760 nm) were tested. Published rededge VIs were generally prone to saturation, whereas MLR models and the Ratio of Reflectance Difference Index in the red-edge (RRDIre) were less influenced by saturation. The linearly tested MLR (based on VIs) and the RRDIre models provided the best performance for biomass estimation in model validation using an independent dataset.
UR - http://www.scopus.com/inward/record.url?scp=85038580705&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85038580705&partnerID=8YFLogxK
U2 - 10.1109/WHISPERS.2014.8077654
DO - 10.1109/WHISPERS.2014.8077654
M3 - Conference contribution
AN - SCOPUS:85038580705
T3 - Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing
BT - 2014 6th Workshop on Hyperspectral Image and Signal Processing
PB - IEEE Computer Society
T2 - 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014
Y2 - 24 June 2014 through 27 June 2014
ER -