Mineralogy and Geochemistry of Phosporite Deposits from Tropic Seamount (NE Tropical Atlantic Ocean)

Marine phosphorite deposits can form in a variety of environments, and despite of similar P contents, their mineralogy can change substantially. Seamount phosphorites are increasingly recognized for their P resources and are known to concentrate rare earth elements (REEs) and yttrium (Y) during early diagenetic formation, much more than continental-margin phosphorite deposits. Their importance is increasing in terms of economic potential but have always been studied for paleoenvironmental reconstruction purposes. The Canary Island Seamount Province (CISP) has been extensively studied for its Fe-Mn crusts and nodules deposits, but to date there has not been any systematic study on the phosphorite substrate rocks. This study aims at characterizing the mineralogy and geochemistry of the Tropic seamount phosphorites and offer insights into their mechanisms of formation. The Tropic seamount is a guyot that presents a variety of depositional environments. Two types of phosphorite slabs were identified: (1) a massive facies with oxic enrichments of Mn, Cr, Co, Ni and Cu located on the summit edges and flanks, and (2) a complex facies with suboxic-to-anoxic enrichments of U and V observed on the phosphorites located on the summit of the guyot. Both phosphorite types experienced advanced phosphatization (P2O5 between 24 and 31 wt.%, 3-4 wt.% of F). Differences in uptake of rare earth elements + yttrium (REY) and variations in mineralogy (e.g., presence of foraminifera vs. rounded glauconite grains, carbonate fragments or bioclasts) between the two types, allow phosphorites that formed in upwelling, nutrient-rich and oxic-suboxic environments to be distinguished from those which formed in suboxic-anoxic organic-poor environments. A potential combined ore deposit (Fe-Mn crusts + phosphorites) with high REY contents, like the seamount phosphorites analyzed in this study (ΣREY=870 μg/g on average), could help supply the resources needed for green-tech and high-tech applications.

The use of remote sensing imagery for monitoring recovery in the aftermath of a natural disaster: the Hurricane Katrina Case

Although Recovery is often defined as the less studied and documented phase of the Emergency Management Cycle, a wide literature is available for describing characteristics and sub-phases of this process. Previous works do not allow to gain an overall perspective because of a lack of systematic consistent monitoring of recovery utilizing advanced technologies such as remote sensing and GIS technologies. Taking into consideration the key role of Remote Sensing in Response and Damage Assessment, this thesis is aimed to verify the appropriateness of such advanced monitoring techniques to detect recovery advancements over time, with close attention to the main characteristics of the study event: Hurricane Katrina storm surge. Based on multi-source, multi-sensor and multi-temporal data, the post-Katrina recovery was analysed using both a qualitative and a quantitative approach. The first phase was dedicated to the investigation of the relation between urban types, damage and recovery state, referring to geographical and technological parameters. Damage and recovery scales were proposed to review critical observations on remarkable surge- induced effects on various typologies of structures, analyzed at a per-building level. This wide-ranging investigation allowed a new understanding of the distinctive features of the recovery process. A quantitative analysis was employed to develop methodological procedures suited to recognize and monitor distribution, timing and characteristics of recovery activities in the study area. Promising results, gained by applying supervised classification algorithms to detect localization and distribution of blue tarp, have proved that this methodology may help the analyst in the detection and monitoring of recovery activities in areas that have been affected by medium damage. The study found that Mahalanobis Distance was the classifier which provided the most accurate results, in localising blue roofs with 93.7% of blue roof classified correctly and a producer accuracy of 70%. It was seen to be the classifier least sensitive to spectral signature alteration. The application of the dissimilarity textural classification to satellite imagery has demonstrated the suitability of this technique for the detection of debris distribution and for the monitoring of demolition and reconstruction activities in the study area. Linking these geographically extensive techniques with expert per-building interpretation of advanced-technology ground surveys provides a multi-faceted view of the physical recovery process. Remote sensing and GIS technologies combined to advanced ground survey approach provides extremely valuable capability in Recovery activities monitoring and may constitute a technical basis to lead aid organization and local government in the Recovery management.