Multi-and hyperspectral geologic remote sensing: A review FD Van der Meer, HMA Van der Werff, FJA Van Ruitenbeek, CA Hecker, ... International journal of applied Earth observation and geoinformation 14 (1 …, 2012 | 1250 | 2012 |
Geochemical anomaly and mineral prospectivity mapping in GIS EJM Carranza Elsevier, 2008 | 949 | 2008 |
Arsenic geochemistry and health AA Duker, EJM Carranza, M Hale Environment international 31 (5), 631-641, 2005 | 773 | 2005 |
Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN) J Farifteh, F Van der Meer, C Atzberger, EJM Carranza Remote Sensing of Environment 110 (1), 59-78, 2007 | 549 | 2007 |
Support vector machine: A tool for mapping mineral prospectivity R Zuo, EJM Carranza Computers & Geosciences 37 (12), 1967-1975, 2011 | 408 | 2011 |
Analysis and mapping of geochemical anomalies using logratio-transformed stream sediment data with censored values EJM Carranza Journal of Geochemical Exploration 110 (2), 167-185, 2011 | 340 | 2011 |
Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features EJM Carranza Ore Geology Reviews 35 (3-4), 383-400, 2009 | 335 | 2009 |
Artificial neural networks for mineral-potential mapping: a case study from Aravalli Province, Western India A Porwal, EJM Carranza, M Hale Natural resources research 12, 155-171, 2003 | 319 | 2003 |
Prediction–area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling M Yousefi, EJM Carranza Computers & Geosciences 79, 69-81, 2015 | 302 | 2015 |
Random forest predictive modeling of mineral prospectivity with small number of prospects and data with missing values in Abra (Philippines) EJM Carranza, AG Laborte Computers & Geosciences 74, 60-70, 2015 | 289 | 2015 |
Knowledge-driven and data-driven fuzzy models for predictive mineral potential mapping A Porwal, EJM Carranza, M Hale Natural Resources Research 12, 1-25, 2003 | 272 | 2003 |
Deep learning and its application in geochemical mapping R Zuo, Y Xiong, J Wang, EJM Carranza Earth-science reviews 192, 1-14, 2019 | 268 | 2019 |
Evidential belief functions for data-driven geologically constrained mapping of gold potential, Baguio district, Philippines EJM Carranza, M Hale Ore Geology Reviews 22 (1-2), 117-132, 2003 | 239 | 2003 |
Geochemical mineralization probability index (GMPI): a new approach to generate enhanced stream sediment geochemical evidential map for increasing probability of success in … M Yousefi, A Kamkar-Rouhani, EJM Carranza Journal of Geochemical Exploration 115, 24-35, 2012 | 231 | 2012 |
Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping M Yousefi, EJM Carranza Computers & Geosciences 74, 97-109, 2015 | 227 | 2015 |
Cretaceous–Cenozoic tectonic history of the Jiaojia Fault and gold mineralization in the Jiaodong Peninsula, China: constraints from zircon U–Pb, illite K–Ar, and apatite … J Deng, C Wang, L Bagas, EJM Carranza, Y Lu Mineralium Deposita 50, 987-1006, 2015 | 224 | 2015 |
Geologically constrained fuzzy mapping of gold mineralization potential, Baguio district, Philippines EJM Carranza, M Hale Natural Resources Research 10, 125-136, 2001 | 213 | 2001 |
Data-driven predictive mapping of gold prospectivity, Baguio district, Philippines: Application of Random Forests algorithm EJM Carranza, AG Laborte Ore Geology Reviews 71, 777-787, 2015 | 212 | 2015 |
Fuzzy modeling of farmers' knowledge for land suitability classification RS Sicat, EJM Carranza, UB Nidumolu Agricultural systems 83 (1), 49-75, 2005 | 207 | 2005 |
Spatio-temporal occurrences and mineralogical–geochemical characteristics of airborne dusts in Khuzestan Province (southwestern Iran) A Zarasvandi, EJM Carranza, F Moore, F Rastmanesh Journal of geochemical exploration 111 (3), 138-151, 2011 | 206 | 2011 |