TY  - JOUR
AU  - Gómez-Escalonilla Canales, Víctor
AU  - Vogt, Marie-Louise
AU  - Destro, Elisa
AU  - Isseini, Moussa
AU  - Origgi, Giaime
AU  - Djoret, Daira
AU  - Martínez Santos, Pedro
AU  - Holecz, Francesco
PY  - 2021
DO  - 10.1080/10106049.2021.2007298
SN  - 1010-6049
UR  - https://hdl.handle.net/20.500.14352/6765
T2  - Geocarto International
AB  - This paper presents a machine learning method to map groundwater potential in crystalline domains. First, a spatially-distributed set of explanatory variables for groundwater occurrence is compiled into a geographic information system. Twenty machine...
LA  - eng
PB  - Taylor and Francis
KW  - Remote sensing
KW  - groundwater exploration
KW  - machine learning
KW  - LakeChad basin
TI  - Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin
TY  - journal article
ER  -