The physical model based on Beer鈥揕ambert law yielded reliable estimation results using LiDAR height data (maize: R2 = 0.815, RMSE = 0.385; soybean: R2 = 0.627, RMSE = 0.515) and LiDAR intensity data (maize: R2 = 0.719, RMSE = 0.474; soybean: R2 = 0.548, RMSE = 0.567). However,...
Leaf area index (LAI) is a fundamental indicator of crop growth status, timely and non-destructive estimation of LAI is of significant importance for precision agriculture. In this study, a multi-rotor UAV platform equipped with CMOS image sensors was used to capture maize canopy information, sim...
Sun Y, Qin Q, Ren H, Zhang T, Chen S (2020) Red-edge band vegetation indices for leaf area index estimation from sentinel-2/MSI imagery. IEEE Trans Geosci Remote Sens 58:826–840 Article Google Scholar Tesemma ZK, Wei Y, Peel MC, Western AW (2015) The effect of year-to-year ...
A parametric method for estimation of leaf area index using Landsat ETM+ data. GISci. Remote Sens. 2015, 52, 478-497. [CrossRef]Amani M, Mobasheri M R. A parametric method for estimation of leaf area index using landsat ETM+ data[J]. Mapping Science & Remote Sensing, 2015, 52(4):...
Leaf area index estimation under wheat powdery mildew stress by integrating UAVbased spectral, textural and structural features 来自 dx.doi.org 喜欢 0 阅读量: 5 作者:Y Liu,L An,N Wang,W Tang,M Liu,G Liu,H Sun,M Li,Y Ma 摘要: The LAI of winter wheat under powdery mildew stress was...
Accurate estimation of leaf area index (LAI) is essential for precision agriculture, yet traditional ground-based measurements are destructive, time-consuming, and limited in scale. This study aimed to address the need for rapid, non-destructive LAI monitoring over large areas by evaluating unmanned...
Spatially explicit estimation of leaf area index using EO-1 Hyperion and Landsat ETM+ data: implications of spectral bandwidth and shortwave infrared data on prediction accuracy in a tropical montane environment. GISci. Remote Sens - Twele, Erasmi, et al. - 2010 () Citation Context ...E ...
Neural network estimation of urban leaf area index. GIScience and Remote Sensing. 42: 251-274.Hardin, P. J., & Jensen, R. R. (2005). Neural network estimation of urban leaf area index. GIScience and Remote Sensing, 42, 251-274....
In this study, multi-polarization RADARSAT-2 (C-band) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) (L-band) were used to investigate the potential of SAR to estimate Leaf Area Index (LAI), a strong indicator of crop productivity. A new LAI estimation approach based on ...
Figure 2. Determination of the Leaf Area Index (LAI). As the Fraction of the Absorbed Photosynthetically Active Radiation (FAPAR) depends on the NDVI as well as the LAI it is also possible to give a new approach for the estimation of FAPAR and phytomass production using the nadir and off-...