Now showing items 1-3 of 3
Stochastic spatio-temporal models for analysing NDVI distribution of GIMMS NDVI3g images
(MDPI, 2017) Artículo / Artikulua,
The normalized difference vegetation index (NDVI) is an important indicator for evaluating vegetation change, monitoring land surface fluxes or predicting crop models. Due to the great availability of images provided by ...
On the performances of trend and change-point detection methods for remote sensing data
(MDPI, 2020) info:eu-repo/semantics/article,
Detecting change-points and trends are common tasks in the analysis of remote sensing data. Over the years, many different methods have been proposed for those purposes, including (modified) Mann-Kendall and Cox-Stuart ...
Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
(Springer, 2019) info:eu-repo/semantics/article,
Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose ...