GROUNDWATER POTENTIAL ASSESSMENT IN GIA LAI PROVINCE (VIETNAM) USING MACHINE LEARNING, REMOTE SENSING AND GIS

IF 0.7 Q4 GEOGRAPHY, PHYSICAL

Geographia Technica Pub Date : 2024-05-15 DOI:10.21163/gt_2024.192.02

H. Nguyen, V. Giang, Quang‐Hai Truong, Gheorghe Șerban, A. Petrisor

引用次数: 0

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利用机器学习、遥感和地理信息系统评估越南嘉莱省的地下水潜力

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来源期刊

Geographia Technica GEOGRAPHY, PHYSICAL-

CiteScore

2.30

自引率

14.30%

发文量

期刊介绍： Geographia Technica is a journal devoted to the publication of all papers on all aspects of the use of technical and quantitative methods in geographical research. It aims at presenting its readers with the latest developments in G.I.S technology, mathematical methods applicable to any field of geography, territorial micro-scalar and laboratory experiments, and the latest developments induced by the measurement techniques to the geographical research. Geographia Technica is dedicated to all those who understand that nowadays every field of geography can only be described by specific numerical values, variables both oftime and space which require the sort of numerical analysis only possible with the aid of technical and quantitative methods offered by powerful computers and dedicated software. Our understanding of Geographia Technica expands the concept of technical methods applied to geography to its broadest sense and for that, papers of different interests such as: G.l.S, Spatial Analysis, Remote Sensing, Cartography or Geostatistics as well as papers which, by promoting the above mentioned directions bring a technical approach in the fields of hydrology, climatology, geomorphology, human geography territorial planning are more than welcomed provided they are of sufficient wide interest and relevance.