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Machine learning procedures for daily interpolation of rainfall in Navarre (Spain)
(Springer, 2023)
Capítulo de libro / Liburuen kapitulua,
Kriging is by far the most well known and widely used statistical method
for interpolating data in spatial random fields. The main reason is that it provides
the best linear unbiased predictor and it is an exact interpolator ...
Detecting change-points in the time series of surfaces occupied by pre-defined NDVI categories in continental Spain from 1981 to 2015
(Springer, 2018)
Capítulo de libro / Liburuen kapitulua,
The free access to satellite images since more than 40 years ago
has provoked a rapid increase of multitemporal derived information of remote
sensing data that should be summarized and analyzed for future inferences. ...
An introduction to the spatio-temporal analysis of satellite remote sensing data for geostatisticians
(Springer International Publishing, 2018)
info:eu-repo/semantics/bookPart,
Satellite remote sensing data have become available in meteorology, agriculture, forestry, geology, regional planning, hydrology or natural environment sciences since several decades ago, because satellites provide routinely ...