Estimating Crop Biomass from Lidar

cornThis research team from Chain and Canada looked at the effects of a number of lidar data collection parameters on the estimation of crop biomass estimation. Their findings indicated that LiDAR point density had an important effect on the estimation accuracy for vegetation biophysical parameters, however, high point density did not always produce highly accurate estimates, and reduced point density could deliver reasonable estimation results.

Furthermore, the results showed that sampling size and height threshold were additional key factors that affect the estimation accuracy of biophysical parameters.

Therefore, the optimal sampling size and the height threshold should be determined to improve the estimation accuracy of biophysical parameters. Their results also implied that a higher LiDAR point density, larger sampling size and height threshold were required to obtain accurate corn LAI estimation when compared with height and biomass estimations.

In general, the results provide valuable guidance for LiDAR data acquisition and estimation of vegetation biophysical parameters using LiDAR data.

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