+−Evidence of Porphyry Deposits in the Ntem Complex: A Case Study from Structural and Hydrothermal Alteration Zones Mapping through Landsat-8 OLI, Aeromagnetic and Geological Data Integration in the Yaounde-Sangmelima Region (Southern Cameroon)

A semi-regional study was carried out in the Yaounde-Sangmelima area, a densely vegetated tropical region of southern Cameroon located in the Central Africa Fold Belt (CAFB)/Congo Craton (CC) transition zone. Towards structural lineaments and predictive hydrothermal porphyry deposits mapping, an integrated analysis of Landsat-8 OLI data, aeromagnetic, geological and mineral indices maps was performed. The Remote sensing using False colour composite images involving bands combinations and Crosta method (features oriented principal components analysis) enabled the mapping of the gneisses and schists domains without a clear differentiation between the Yaounde and Mbalmayo schists; despite the reflectance anomalies evidenced NW of Akonolinga, hydrothermal alterations in the study area failed to be detected. Besides, aeromagnetics depicted a moderately fractured northern zone (the CAFB) contrasting with a high densely fractured zone (the CC, How to cite this paper: Assembe, S.P., Mbarga, T.N., Nyam, F.E.A., Ngoumou, P.C., Meying, A., Gouet, D.H., Zanga, A. and Ngoh, J.D. (2020) +−Evidence of Porphyry Deposits in the Ntem Complex: A Case Study from Structural and Hydrothermal Alteration Zones Mapping through Landsat-8 OLI, Aeromagnetic and Geological Data Integration in the Yaounde-Sangmelima Region (Southern Cameroon). Advances in Remote Sensing, 9, 53-84. https://doi.org/10.4236/ars.2020.92004 Received: January 26, 2020 Accepted: June 5, 2020 Published: June 8, 2020 S. P. Assembe et al. DOI: 10.4236/ars.2020.92004 54 Advances in Remote Sensing known as Ntem complex). The Ntem complex displays signatures of a meta-igneous, an intrusive complex, greenstone relics south of Sangmelima and hydrothermal activity. Indeed, CET porphyry analysis tool detected many porphyry centres. In general, the study revealed many lineaments including contacts, fractures faults zones and strike-slips. The major aeromagnetics structures are SW-NE to WSW-ENE and WNW-ESE to NW-SE while those from Landsat-8 are NE-SW, WNW-ESE, NW-SE, WSW-ENE and NW-ESE to NNW-SSE. Together, these structures depict trans-compressions or trans-tensions corresponding to a broad NE-SW strike-slips channel that affect both the CAFB and the Ntem Complex, and they control the intrusions thus confirming a pervasive hydrothermal activity within the Ntem Complex. The proximity or coincidence of these porphyry centres with some mapped Iron-Gold affiliated mineral indices and porphyry granites indicate the possible occurrence of many hydrothermal ore deposits. These results show the high probability for the Ntem complex to host porphyry deposits so they may serve to boost mineral exploration in the Yaounde-Sangmelima region and in the entire southern Cameroon as well.


Introduction
Hydrothermalism alters rocks and provokes various types of mineralization occurring in general as polymetallic deposits (e.g. (IOCG; porphyry Cu-Au) +/− Ag, U, Mo, Pb, REE, Zn, etc). Most common hydrothermal deposits styles are intrusion related, epithermal, skarns and porphyry [1] [2] [3]. In general, porphyry deposits are hosted in Archaean to Proterozoic terrains in a convergent setting [2] [4] [5] [6]. The CAFB/CC transition zone in southern Cameroon, at the northern margin of the Congo craton (CC), in regards to its geological history, becomes good candidate host of these deposit types. Therefore, a detailed geoscience work needs to be done in this region, to assess this potential and subsequently revamp mineral exploration industry.
Remote sensing (RS) and aeromagnetics are solutions to geoscientific studies in wide and inaccessible regions. in geological RS, surface alteration controls better the reflectance of geologic materials so, high discrimination capabilities of lithology are found in the visible near infrared-VNIR and Shortwave infrared (SWIR) regions i.e. 0.7 to 3.0 µm interval [7] [8]. Various pre-processing and processing technique/enhancement workflows exist and are intuitively used to meet desired goals. However, the most common approaches involve whether alone or in combination, bands combination, band rationing, data dimensional reduction and image filtering (e.g. see, [8] [9] for detailed discussions). RS has become a standard tool in geological studies by highlighting faults/fractures in
The tectonic activity at the northern margin of the CC takes into consideration the difference in its lithological arrangement. Indeed, according to some  workers the Ntem complex seems to have been first influenced by the Liberian orogeny marked by various folds and brittle structures [52] with an Archaean magmatism [45] [53]. The second main event in the Ntem complex is the Eburnean orogeny marking the Sao-Francisco Craton/Congo Craton collision [54] [55] during which NE-SW, E-W to ESE-WNW, NW-SE and N-S main lineaments formed and the crust rejuvenated at the NW edge of the CC [56] [57] [58] [59]. Obviously, this seems to be the more documented event affecting the cratonic part of the study area. The CAFB besides is clearly affected by Panafrican and post-Panafrican tectonics. Previous studies identified four Panafrican deformation stages (e.g. [60] [61] [62]). In the Yaounde group, [63] summarised it into the thrusting of the CAFB nappes onto the followed by ENE-WSW strike-slips. These tectonics caused by overall dextral transpressions due to alternating E-W to NW-SE contractions and N-S to NE-SW orogenic-parallel extensions [62] generated N or S penetrative foliation associated with ENE-WSW stretching lineation and a N-S to NE-SW folding. However, this evolution is still debated (see e.g., [50] [64] [65] [66]), regarding the collisional system, the location and direction and the geodynamic history of the Yaounde domain. Despite some relevant interpretations of the faults/fractures that they discovered (see e.g. [67] [68]), most geophysical studies fail to reconcile the aforesaid matters as they don't propose structural history of the northern margin of the CC based at least on these mapped features. Also, insufficient geophysical works towards predictive mapping of the ore minerals potentialities in the CAFB/CC transition zone have been done. This paper brings contributions to resolve the two above outstanding points through an integrated analysis of remote sensing, aeromagnetic and geological data over the Yaounde-Sangmelima region.

Geological Datasets
The geological information used for this study comes from the official maps of the Republic of Cameroon that cover the Yaounde-Sangmelima area. To obtain a digital geological database, these maps were initially georeferenced, then warped in Google map for geographical rectification; then lithological, structural and mineral indices information was extracted through ArcGIS desktop 10.6.

Data Description and Preparation
The satellite data used are SRTM and Landsat 8 Operational Land Imager (OLI). SRTM are topographic data that model the elevation of a given surface relative to the sea level. They are availed as 1 × 1 degree scenes at a 30 m spatial resolution. OLI is a multispectral sensor on board of the Landsat 8 satellite whose bands characteristics are summarised in Table 1.
These are standard geometrically corrected (L1T1) images projected on the corresponding UTM zone freely available from the Global Land Cover Facility portal (http://earthexplorer.usgs.gov/). The current study uses two adjacent scenes whose respective path/row identifications are 185/057 and 185/058, recorded on the 12th January 2015 at approximately 09h 45 min. The two OLI scenes underwent a 3-steps preparation pre-processing stage consisting in: 1) The radiometric calibration for atmospheric correction to remove the influence of the atmosphere and haze, and conversion of digital numbers of each individual scene into surface reflectance which is physically meaningful for earth objects investigation. The operation was realised using the Quick atmospheric correction (QUAC®) which determines atmospheric correction parameters directly from the observed pixel spectra in a scene, without ancillary information.
2) Vegetation suppression by removing the signal related to the canopy on each individual scene in order to produce a multispectral image that mimics the surface reflectance without vegetation.
3) the mosaicking of the pre-processed scenes, then spatially subsetting the mosaicked image to the study area and reducing its spectral dimension by removing the coastal band (band 1) which is not useful in geology.

Multispectral Images Processing Methods
Colour composition. Colour composition is an image enhancement technique which consists in combining natural or hybrid bands (e.g. band ratios, eigenvectors, etc.). When using natural bands, the appropriate bands combinations were determined using the optimum index factor (OIF) initially designed by [69] statistically determines the most appropriate combinations represented by the highest OIF ranking as presented in Table 2.
These combinations were used to map the lithology of the Yaounde-Sangmelima area, by undelaying the SRTM map to identify changes in texture (Figure 2(a)).
Principal components (PC) analysis. The PC transform segregates noise components, decorrelates and reduces the dimensionality of data sets. The dimensionality reduction removes the redundancy in the dataset, yielding uncorrelated hybrids bands (PC bands) which concentrate maximum information from the multispectral data. [70] developed a feature-oriented PC (FPCS) approaches to focus on specific goals (minerals). The principle consists in the calculation of PCs from a specific group of bands containing information on the sought feature then select the most informative FPC band. The FPCS were calculated in the bands (2,3,4,5) for iron oxides and hydroxides detection; and in the bands (4, 5, 6, 7) for clays (OH). The resulting FPCS are presented in Table  3.
Lineaments extraction. To map lineaments, the greyscaled standard PC1 image is high-pass filtered using a 3 × 3 window to reduce noise and enhance   edges. The filtering is performed on Envi 5.3 platform. The features extraction involved a semi-supervised classification that consists in 1) automatically detect lineaments from the high-pass filtered image of PC1 using the Canny edge filter within the LINE module in PCI-Geomatica 9.0 software. Later, 2) the image of the computer extracted features is underlain by the digital elevation model generated from the SRTM data above the area, to manually extract the lineaments using the photo-geological approach.

Data Description and Preparation
The study utilises aeromagnetic data collected in January 1970 during a nationwide campaign held in Cameroon. The flight paths flown at a nominal altitude of 235 m, were spaced at 750 m and oriented S-N. major equipment consisted in a radar altimeter of 20 m precision. The field data were processed by Paterson Ltd and availed as total field maps at 1/50,000 scale. The total magnetic intensity (TMI) anomaly field was obtained by removing the geomagnetic field that pertained in 1970; assuming a mean declination of −18.2˚ and a mean inclination of −6.2˚, Reduction-to-the magnetic equator (RTE) transform was applied to the anomaly field to shift anomalies on top of their sources [29]. The resultant RTE map ( Figure 2(b)) served as input for further analyses.

Magnetic Data Processing and Interpretation
Analytic signal method. The analytic signal (AS) is formed through the combination of horizontal and vertical gradients of a potential field [29]. Introduced by [71] to solve the depth and position of the anomaly sources in the 2D case, [72] extended the method to solve 3D problems on gridded data. The AS is used either as a mapping and depth-to source technique and as a way to learn about the nature of the causative magnetization [30].
The horizontal gradient method. The horizontal gradient method (HGM) is in many ways the simplest approach to estimate contact locations of the bodies at depth and it is advantageously less sensitive to the noise in the data because it only requires calculations of the two first-order horizontal derivatives of the field [29]. The HGM function gives a peak anomaly above magnetic sources which will be interpreted as lineaments [30] [73]; HGM peaks can be evaluated at different the upward continued heights, leading to a multiscale analysis [74]. The multiscale HGM is commonly has been used in lineaments mapping by several workers using magnetic or gravity data in structural investigations [27] [75] [76] [77].
CET Porphyry analysis. The CET Porphyry analysis tool was developed by the Centre for Exploration Targeting (CET), an Australian research group addressing mineral exploration industry problems. Developed by [78], this tool relies on the fact that an ideal porphyry hydrothermal mineralisation typically appears as a circular central intrusion surrounded by concentric circular alteration zones. The detection process involves sequentially applying: 1) the circular feature transform which uses a radial symmetry transform algorithm to detect cir-cular shaped (elevated or depressed) features by identifying where image gradients converge or diverge respectively. 2) Performing central peak detection; and then visualising the feature boundaries using the amplitude contrast transform and the boundary tracing using a spline energy function that specifies porphyry boundaries. The preparation and processing of Landsat 8 data was done in Envi 5.3 and lineament were automatically extracted with PCI-Geomatica v9.0; all the magnetic data preparation and processing was done in Oasis montaj 8.4. Maps were finalised and edited with ArcGIS 10.6 and Rockworks 16 served to draw lineaments rosaceas.
The work methodology consisted in detecting key lithology, zone of hydrothermal activity and lineaments from remote sensing and aeromagnetics, separately; then making a fusion and cross-validation of the results between the two methods at a first stage, and the final outputs are validated by the available geological data to yield the more plausible map of structural lineaments and porphyry deposits in the study area. This methodology is summarised by the flowchart ( Figure 3).

Colour Composite Images Analyses
The true colour composition (Figure 2(a)) makes it difficult to outline specific   South of Nkout (Figure 4), discrimination of the Ntem complex rocks is not obvious. However, the Akoaeman zone, exhibits dark blue tones with patchwork of pale blue to cyan and pale greenish which probably correspond to tonalites. In the Sangmelima zone, the tones are pink to reddish due to high SWIR and medium to low reflectance in bands 5 and 2 or 3 of amphiboles, feldspars, micas, pyroxenes and olivine minerals. This suggests the existence of an igneous or meta-igneous complex, probably the granites/granodiorites and other mafic to ultramafic or subcrustal materials herein. These rocks are better evidenced by magnetic data.

Aeromagnetic Qualitative Analyses
Magnetic data ( Figure 5) differentiate Panafrican terranes to the north from CC rocks to the south. The Panafrican domain appears as a quiet magnetic background (low HGM and AS values, Figure 4) with some anomaly peaks around   Figure 5) possibly charnockites and many other mafic to ultramafic or subcrustal contributions into the local rock budget recognised as greenstones belt relics. The TTG/Charnockites boundary is sub-circular east to north, and NE-SW, west of Sangmelima. The refinement from the AS map reveals a sparse occurrence of intrusions in the CAFB (except at, and, east of Metet) whereas the Ntem complex has more intrusions ( Figure 5(b)). The high number of sub-circular anomaly peaks interpreted as various age intrusions is a possible imprint of a hydrothermal activity which was high in charnockites, moderate in the TTG and low in the CAFB. Particularly, we interpret this poor occurrence of intrusions in the schists/TTG boundary as an evidence of a discrete influence of the Panafrican event on the CC.

Lineaments Detection and Interpretation
Quantitatively, the remotely sensed data analysis (Figure 6  It is then evident that all the brittle structures outlined in the study area are either newly created or reactivated, depending on the stress and strain regimes upon the northern margin of the CC from Archaean to Cainozoic.

Feature Oriented PCs
The application of the Crosta technique for the detection of clays and iron oxides anomalies led to Table 3. Clays are traced by the behaviour of the hydroxyl (OH) group in the Clay band (SWIR region) where it has a high reflectance in the SWIR 1 and a strong absorption in SWIR2. Scrutinising the loading of each band for the four FPCs obtained for the OH (Table 3(a)), for PCOH4 band 6 contributes at −0.796 and band 7 loading is 0.532, in line with the above comments. By inverting PCOH4, clayey zones will be observable as pale grey to white pixels in the southern part on the PCOH4 grey-scaled image ( Figure   7(a)). In the north, alluvia in the Nyong River appear bright white in Akonolinga, whereas an anomalous clayey zone is visible west of Akonoloinga.
Regarding the detection of iron-rich minerals, in Table 3(b), PCFe4 is characterised by a high loading from band 4 (0.658) related to a high reflectance and a very low contribution from band 2 (−0.026) corresponding to a very strong absorption. This is characteristic to the presence of iron-rich minerals which generally have a very high reflectance in the red band and a strong absorption in the blue band. Therefore, iron oxide targets will appear as greyish to dark pixels on the grey-scaled image. But the PCFe4 is influenced by the high loading from band 3 (green) due to the dense canopy in the area what makes them almost no detectable (Figure 7(b)).

Porphyry Centre Detection from Magnetic Data
The application of the CET-porphyry detection tool on magnetic data led to the mapping of a total of 66 centres porphyry centres which correspond to intrusive bodies that occur in the study area ( Figure 8). The straight visible point is that 61 of these centres are located in the Ntem complex and the remaining 5 centres (i.e. 7.58% of the gross total) are located in the Yaounde Group of the CAFB. Of the porphyry centres mapped in the CAFB domain, 3 centres are found in schists, in the vicinity of the schists/TTG boundary while the 2 other centres are located at this boundary. As a result, we interpret this very low occurrence of porphyry centres as an evidence of the absence of magmatic activity within the Yaounde Group in general, suggesting that no hydrothermal alteration of the Neoproterozoic rocks of the Yaounde and Mbalmayo series. Contrasting with the CAFB domain, the Ntem complex records.92.42% of the porphyry centres of the study area ( Figure 8) but their variable distribution depends on the change in the nature or composition of its main rocks formations. Indeed, the results enable to distinguish an area of less dense occurrence of porphyry centres (21 centres) from an area of more densely populated (40)

On Lithology Mapping
The lithology mapping from remote sensing confirmed the metamorphic character of the basement lithology as they are generally visible in dark shades in the true colour composition. The reflectance signatures in the north of the study area (Figure 4(a); Figure 4(b)) has been interpreted as corresponding to a mixture of garnet, biotite, amphibole, quartz, kyanite, feldspar and chalcopyrite. These minerals are constituents of Panafrican gneisses of the Yaounde Group [42] [79] and various age gneisses worldwide. Besides, mix of dark reddish, dark blue, dark greenish and greyish tones in metamorphic rocks in general indicate the presence of muscovite, calcite, feldspars (orthoclase and albite), garnets, chlorite, quartz along with accessories minerals such as iron oxides, tourmaline or zircon [42] [44] [80] This has been globally interpreted as schists (quartz-muscovite schists, quartz-schists and muscovite schists) and quartzites in accordance with [42] [43] [65]. Moreover, the study was incapable of differentiating the Mbalmayo schists from the schists of the Yaounde series based on the spectral reflectance. This unquestioned differentiation to date, was recognised by pioneer studies (e.g. [43]) on the southern member unit of the CAFB which consider the Yaounde Group as made up of two distinct series: 1) the Yaounde series (gneisses + micaschists) and 2) the Mbalmayo schists. One probable reason of the inability of this study to clearly distinguish the schists of the Yaounde series from the Mbalmayo schists is that they may belong to the same unit, hence differences between them would account for simple variations observed in a same schists belt. Till date, only works by [44] are supportive of this point of view so, more geochemical studies in the schists formations of the Yaounde Group need to be carried out for clarifications. The discrimination in between the Ntem complex rocks was not evident from the RS analysis (Figure 2(a); Figure 3(a); Figure 4(b)). In fact, their close mineralogical content provides them with almost the same signature, possibly because the rocks of the Ntem Complex derive from the same igneous protolith [47] [53]. Thus the igneous nature of these rocks favoured their mapping and differentiation through aeromagnetics. Indeed, the complementary use of aeromagnetic data permitted to segregate Tonalites TTG from an intrusive complex of granodiorites and granites centred on Sangmelima as well as greenstone relics documented from previous works (e.g. [43] and references therein). Moreover, from the HGM and the AS maps ( Figure 5) and integrating the available geological information in the area [43], the study inferred, other greenstone relics south of Sangmelima in the intrusive complex. The same approach was used by [81] to highlight new greenstone relics northeast of those of the geological map. Highlighting another greenstone relic is a contribution in updating the reference geological map of southern Cameroon and it increases the mineral interest in the Ntem Complex.

Structural Mapping and Geodynamic Evolution at the Northern Margin of the Congo Craton
The study highlights in the Yaounde-Sangmelima region, many fractures and faults that affect both the Ntem Complex and the CAFB. The directions of the major structures are mainly SW-NE, WNW-ESE, NW-SE, SSW-NNE, WSW-ENE and N-S. The remote sensing results are consistent with magnetic results (Figure 9). These structures and directions are consistent with previous studies [25] [85] in the area and at the vicinities. Indeed, these works have highlighted many faults or fractures interpreted as tectonic accidents affecting the CC, the basement of the CAFB domain without providing a real explanation on the faulting history or kinematics to help understanding geodynamics at the northern margin of the CC. This study proposes that the NE-SW to WSW-ENE major faults/fractures affecting both the Ntem complex and the CAFB are within a single paleo shear zone which have controlled deformations at the northern margin of the Congo Craton from the Archaean to the Precambrian and further in the Cenozoic. This confirms the idea recently suggested by [86] and correlates the shear zones highlighted by [82] in the Sangmelima area that we suggest it belongs to the network from this paper. The sinistral shear movements in the Ntem Complex are pre-Panafrican as suggested by the orientation of the greenstone relics ( Figure   1). The weakening of the Ntem complex crust in response to resurgence of various tectonothermal events [53] [87] may have led to the setting of the NE-SW lineaments during the Eburnean orogeny and the maturation of the ESE-WNW to E-W faults affecting the paleo Proterozoic basement, that would later form a rift at the northern margin of the CC.
Rifting at the northern margin of the CC has been recognised by [65] and [86]. Therefore, the NE-SW to WSW-ENE fractures and faults affecting both the Ntem complex and the Paleoproterozoic basement of the CAFB to the north, would be the structures guiding the spreading direction of the Yaounde basin.
Rifting and limited oceanisation was related with the late Paleoproterozoic to early Neoproterozoic detachment of the Adamawa-Yade block from the CC before the Panafrican orogeny [88]. So, the collapse of the basement evidenced by [85] [89] [90] under the Yaounde group are imprints of these extensional processes at the northern and southern margins of the Congo continent due to the circum-Congo subduction zone depicted by [91] [79]. Also, this geometry preservation raises the question on the involvement of the CC during the Panafrican orogeny at its northern margin.
Despite the need of more structural and petrophysical data at the vicinities of the CAFB/CC south limit, this study considers the mentioned faults geometry to back up the assumption that the Ntem Complex and its foreland constituted a passive margin [61], hence the diffuse effects of the Panafrican tectonics onto the Ntem Complex reported by some geological works [79]. [49] [96], on this important issue); and validates effective but limited rifting processes at the northern margin of the CC supported by this study and [65]. We further assume that the LP-LT conditions hitherto evoked imply a non or limited reactivation of the Paleoproterozoic faults/fractures which disabled ascent of subcrustal materials.
Despite the lack of data, we propose that the closure of the Yaounde basin in late Neoproterozoic shall be understood as a result of simple compressions between a fixed CC and a moving Adamawa/Yada/East Sahara Block rather than a normal collision as seen worldwide [97] [98] [99] [100] [101]. Therefore, the development of the southern CAFB is a non-collisional orogeny and the consideration of a CC subducted below the CAFB is geodynamically misleading and should be avoided. However, these conclusions are matter of debate and transduce the complexity of the geological history of the northern margin of the CC in particular, as well as enigmas related to the Congo continent in the pre-Gondwana reconstructions. Notwithstanding the lithologic and tectonic links well demonstrated between South America and Africa [57] [102], reassessment of the timing of events could better enlighten the Neoproterozoic evolution of the transition zone at the northern margin of the CC. Another challenge not openly discussed in this work is to investigate the response of this transition zone to both the ongoing African plate geodynamics.

Hydrothermal Alteration Mapping and Mining Implications
Landsat 8 OLI data are generally efficient in mapping hydrothermal alteration zones which correspond to areas of clay minerals (with or without some iron oxides) accumulations [16] [19]. Contrarily to most presented studies (mainly carried in open canopy or semi-arid areas), they weakly mapped hydrothermal alteration zones in the study area. This incapability is probably due to the dense vegetation and the thick lateritic cover. In fact, the tropical vegetation produces a high evapotranspiration whose signal is sometimes difficult to remove on satellite data. In another side, Landsat 8 OLI data SWIR region is too broad (only two bands) to enable good mineral characterisation, comparatively to some sensors like ASTER which propose a better sampling in the same domain (five SWIR bands) resulting in a better characterisation of subsurface mineral contents.
However, aeromagnetics overcame that difficulty by mapping porphyry centres like some works [103]. Porphyritic deposits are associated to intrusive or extrusive activity, and require felsic to intermediate magma chamber and/or a cooling pluton; the inter-granular space along bedding planes and fractures in host rocks of enables percolation of hydrothermal fluids that will precipitate ore minerals then leads to the formation of hydrothermal deposits [2] [104] [105]. This is consistent with the close spatial relation between the highlighted porphyry centres and the granitoids and the TTG suites of the Ntem complex ( Figure 10) in one hand; and in another, location of these mapped porphyry centres at (or close to) faults junctions, in between two subparallel faults or along faults, and at the TTG/granodiorites contact zone. Recalling this study highlighted a major pre-Panafrican NE-SW shear zones, with local NE-SW and NW-SE shear zones (e.g. Sangmelima area), it is clear that faulting played a major role by allowing hydrothermal and oxidising fluids circulations in the Archaean to Paleo/Mesoproterozoic evolution of the Ntem Complex.
Hydrothermal alteration in the Ntem complex has been recognised by recent works at the vicinities of the study area (in areas subject to advanced mineral exploration works) which also showed that hydrothermalism occurred in the Ntem Complex in a shallow seawater, probably in a subduction context [106] [107] [108] [109]. Porphyry as a subclass of hydrothermal deposits, is associated with one or various intrusions of felsic to intermediate rocks [4] [110] [111] as it is the case in this portion of the Ntem Complex made up of TTG granites, granodiorites [41] [47]. Also, some of the porphyry centres from this study coincide or are located in the close proximity of porphyry granites, intrusions and/or known mineral indices mapped by [42]. In the Ntem complex, the indices having Fe-Au (Iron Oxides-Gold; IOG) affiliation are mainly found out of greenstones in TTG, granodiorites and granitoids; they tend to confirm the existence of porphyry and/or IOCG deposits, despite the absence of Cu index in the study area. [112] while confirming the Cu depletion in Akom II southwest of the study area, rather revealed a S, Ni, and Au-PGE enrichment. Regarding the geodynamical,  lithological and structural context pertaining to this study area, hydrothermalism and absence of Cu would infer a Kiruma-type deposits [113]. However, [106] evidence of a Ba, Cu, Zn and V enriched iron oxide deposit suggests the existence of skarn or porphyry deposit nearly 45 km west of the study area (Binga project). Our results match with the existence of IOCG and porphyry/skarn ore deposits east and northeast Brazil [3] [4] [114]. Therefore, the Ntem complex in the transition zone at the northern margin of the CC potentially hosts many hydrothermal deposits which need to be explored.

Conclusions
An integrated analysis of Landsat 8, legacy aeromagnetic data and geologic maps was implemented as a predictive geological mapping approach in poorly exposed and inaccessible densely vegetated tropical region of southern Cameroon. The 1) The faults and fractures outline a major SW-NE paleo strike-slips channel or shear zone affecting both the Ntem complex and the CAFB basement.
2) NE and NW trans tensional movements depicted by first and second order faulting, passageways for hydrothermal fluids.
3) Many mapped intrusions and porphyry centres structurally controlled by the regional and local shear zones as imprints of hydrothermal activity.
4) The close proximity of highlighted porphyry centres with mapped faults/fractures junctions, porphyry texture zones and mineral indices includes iron and gold suggest the presence of porphyry deposits in the Ntem complex. 5) Landsat 8 multispectral data are not good enough to predictively map hydrothermal alteration zones in poorly exposed, inaccessible and densely vegetated tropical area. High evapotranspiration from trees, thick lateritic cover, and the width of Landsat-8 SWIR bands may be the reason.
The results show that the mining potential of the Yaounde-Sangmelima in Ntem Complex should be positively reconsidered and more exploration activities shall be encouraged.