S. From a line in the sand to a landscape of decisions: a hierarchical diversity decision framework for estimating and communicating biodiversity loss along anthro- pogenic gradients. Methods in Ecology and Evolution 2015, 6 (7), 795- 805....
Today, data mining has become a relevant topic in digital soil mapping. In this current study, prediction of some soil properties and their spatial distribution were examined by machine learning algorithms (Support Vector Machine, Artificial Neural Network) using reflectance values of Triplesat satellite...
Effects of vegetation clumping on two-source model estimates of surface energy fluxes from an agricultural landscape during smacex. J. Hydrometeorol. 2005, 6, 892–909. [Google Scholar] [CrossRef] Chavez, J.L.; Neale, C.M.U.; Hipps, L.E.; Prueger, J.H.; Kustas, W.P. Comparing...
Non-lambertian corrected albedo and vegetation index for estimating land evapotranspiration in a heterogeneous semi-arid landscape. Remote Sens 2010, 2, 926–938. [Google Scholar] Cuenca, R.; Ciotti, S.; Hagimoto, Y. Application of Landsat to evaluate effects of irrigation forbearance. Remote ...
Non-lambertian corrected albedo and vegetation index for estimating land evapotranspiration in a heterogeneous semi-arid landscape. Remote Sens 2010, 2, 926–938. [Google Scholar] Cuenca, R.; Ciotti, S.; Hagimoto, Y. Application of Landsat to evaluate effects of irrigation forbearance. Remote ...
Satellite data were associated with LiDAR to map wetland flooding [46], vernal pools [47], and coastal wetlands landscape and vegetation characteristics [48,49,50,51,52]. Optical images were also coupled with LiDAR point clouds for vegetation classification purposes [53,54,55]. In the last ...
When estimating coarse-resolution and medium-resolution ET, the parameters of the dominant landscape in a mixed pixel become representative of the entire pixel, resulting in inaccurate ET results [38]. Thus, it is necessary to address the problem of land surface heterogeneity to obtain a more ...
However, in the open montane landscape of our AOI, the conditions for GNSS positioning were generally excellent, reducing the potential for positional errors. Nonetheless, potential positional errors are of greater importance for the SHORT stratum than the TALL stratum due to the smaller plot size ...
Strong correspondence in evapotranspiration and carbon dioxide fluxes between different eddy covariance systems enables quantification of landscape heterogeneity in dryland fluxes. J. Geophys. Res. Biogeosci. 2022, 127, e2021JG006240. [Google Scholar] [CrossRef] Schrader, F.; Durner, W.; Fank, J....
Mapping landscape scale variations of forest structure, biomass, and productivity in Amazonia. Biogeosci. Discuss. 2009, 6, 5461–5505. [Google Scholar] [CrossRef] Pang, Y.; Lefsky, M.; Sun, G.; Miller, M.E.; Li, Z. Temperate forest height estimation performance using ICESat GLAS ...