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reflectance models . A data fusion Kalman Filter algorithm to estimate Leaf Area index evolution by using Modis LAI and PROBA–V Top Of Canopy synthesis data Antonio Novelli* DICATECh - Politecnico di Bari, Via ...
of Sentinel-2's multispectral bands. We also calculated the Normalized Difference Vegetation Index , Visible Atmospheric Resistance Index , and Leaf Area Index for the analysis. Elevation, slope, and aspect data ...
China Plain. The LST plays a significant role in ET estimation , but the data fusion model has uncertainty . The validation result in Fig 3 shows that the fused-LST obtained in this paper has reasonable ...
) Biomass (bm) of leafs (10 kg ha−1) 2 bm of needles of pine (10 kg ha−1] 2 bm of needles of spruce (10 kg ha−1) 2 Canopy cover (%) Leaf area index (LAI)3 Topographic database4 Digital elevation model (m ...
support values see S1 Fig). Bayes Factors based on marginal likelihoods estimated via stepping stone or path sampling support a relaxed clock model over a strict clock model , both in the data set including ...
access, regularly updated, georeferenced data can be analyzed using interpretable random forest models to provide estimates of a set of malnutrition and poverty indicators, with accuracy broadly comparable ...
a model is trained with data there is the risk of overfitting, i.e. that the parameters are estimated to reproduce closely the training data used, losing the capacity to generalize outside the calibration ...
., 2015) with area -based approaches in temperate and boreal forests. Several studies reported forest density estimations from VHR data with mixed success. For example, Ozdemir and Karnieli (2011) reached ...
technology, satellite data has become the most powerful means to assess NPP in terrestrial ecosystems [3, 4]. Estimating grassland NPP using mathematical models has become an important and widely accepted ...
). Various methods for crown volume modeling that use surface modeling techniques with LiDAR data have been proposed for use in forest fire simulation (Kato et al. 2006) and biomass estimation (Tao et al. 2014 ...
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