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A random forest-based algorithm for data-intensive spatial interpolation in crop yield mapping
(Elsevier, 2021-05)
High-resolution yield maps are an essential tool in modern agriculture. Using spatial interpolation, spatially discrete sampled yield data from yield monitors can be transformed into continuous yield maps. However, spatial ...
Probabilistic Approach to Determine the Spatial Distribution of the Antecedent Moisture Conditions for Different Return Periods in the Atlántico Region, Colombia
(Cartagena de Indias, 2022-04-10)
Previous soil moisture conditions play an important role in the design of hydraulic structures because they are directly related to the runoff threshold associated with a return period. These represent one of the main ...
Isohyetal maps of daily maximum rainfall for different return periods for the Colombian Caribbean Region
(MDPI AG, 2019)
In Colombia, daily maximum multiannual series are one of the main inputs for design streamflow calculation, which requires performing a rainfall frequency analysis that involves several prior steps: (a) requesting the ...
A simple regionalization approach as an alternative to obtain rainfall data in a tropical and ungauged catchment
(Universidad del ValleColombia, 2016-01-19)
(Eng) The availability of rainfall information with high spatial resolution is of fundamental importance in many
applications in the field of water resources. Commonly, the rainfall data in developing countries are obtained ...
Dengue: padrões ambientais, conhecimento da população e cenários potenciais à transmissão em duas regiões de Jaboticabal, SP
(Universidade Estadual Paulista (UNESP), 2014)
Application of LIDAR to forest inventory for tree count in stands of Eucalyptus spAplicação do LIDAR no inventário de florestas plantadas com Eucalyptus sp para contagem de árvores
(UFLA - Universidade Federal de Lavras, 2012)