Mapping Mountain Landforms and Its Dynamics: Study Cases in Tropical Environments

High mountain areas are critical for water security and natural hazard dynamics, as well as glacier and ecosystem conservation in a warming world. We present a brief account of the methodological steps for geomorphological mapping in mountain areas, including the required scale, the legends, technology, and software. We analyze the best imagery sources and their combination with fieldwork and geographical information systems (GIS), in performing accurate cartography. In addition, we present two case studies in which we apply several methods described previously. Firstly, we carried out a classical and digital geomorphological mapping of Cerro Chirripó (Talamanca Range). Secondly, we studied the Reserva Biológica Alberto Manuel Brenes (Central Volcanic Range), where we used UAVs to map high-resolution fluvial geomorphology. This methodological framework is suitable for future geomorphological surveys in mountain areas worldwide. Moreover, the case studies can give ideas on the application of these approaches to different mountainous environments.UCR::Vicerrectoría de Docencia::Ciencias Sociales::Facultad de Ciencias Sociales::Escuela de Geografí

Unmanned Aerial Vehicle (UAV) for monitoring soil erosion in Morocco

This article presents an environmental remote sensing application using a UAV that is specifically aimed at reducing the data gap between field scale and satellite scale in soil erosion monitoring in Morocco. A fixed-wing aircraft type Sirius I (MAVinci, Germany) equipped with a digital system camera (Panasonic) is employed. UAV surveys are conducted over different study sites with varying extents and flying heights in order to provide both very high resolution site-specific data and lower-resolution overviews, thus fully exploiting the large potential of the chosen UAV for multi-scale mapping purposes. Depending on the scale and area coverage, two different approaches for georeferencing are used, based on high-precision GCPs or the UAV’s log file with exterior orientation values respectively. The photogrammetric image processing enables the creation of Digital Terrain Models (DTMs) and ortho-image mosaics with very high resolution on a sub-decimetre level. The created data products were used for quantifying gully and badland erosion in 2D and 3D as well as for the analysis of the surrounding areas and landscape development for larger extents

Rock glacier inventory of the western Nyainqêntanglha Range, Tibetan Plateau, supported by InSAR time series and automated classification

The western Nyainqêntanglha Range on the Tibetan Plateau reaches an elevation of 7,162 m and is characterized by an extensive periglacial environment under semi-arid climatic conditions. Rock glaciers play an important part of the water budget in high mountain areas and recent studies suggest that they may even act as climate-resistant water storages. In this study we present the first rock glacier inventory of this region containing 1,433 rock glaciers over an area of 4,622 km. To create the most reliable inventory we combine manually created rock glacier outlines with an automated classification approach. The manual outlines were generated based on surface elevation data, optical satellite imagery and a surface velocity estimation. This estimation was generated via InSAR time series analysis with Sentinel-1 data from 2016 to 2019. Our pixel-based automated classification was able to correctly identify 87.8% of all rock glaciers in the study area at a true positive rate of 69.5%. In total, 65.9% of rock glaciers are classified as transitional with surface velocities of 1–10 cm/yr. In total, 18.5% are classified as active with higher velocities of up to 87 cm/yr. The southern windward side of the mountain range contains more numerous and more active rock glaciers. We attribute this to higher moisture availability supplied by the Indian Monsoon

Assessment of Landscape Processes, Forms and Features in the Lake Manyara Region, East African Rift Valley

The rift valleys of the East African Rift Systems form two branches (Eastern and Western rift). Within the Eastern rift, there is a southward propagation in the onset of volcanism, and hence rifting that has led to the formation of a narrow graben commonly referred to as the Gregory rift (in Tanzania). The endorheic basin at its southern end where the present saline Lake Manyara was formed. The lakes largest tributary is the Makuyuni River that is providing fresh water from northwest volcanic highlands. Along the Makuyuni River, where first and second tributaries cut deep into the sediments, the landscape is dominated by erosion features. These sediments reveal exposed and outcropping artefacts and fossils, which have been found starting in the 1930s in archaeological and paleontological expeditions. In the close vicinity of Makuyuni town, two hominin bearing sites were discovered in 2008. As few is known about the landscape itself, this study has set its focus on the surrounding landscapes of Makuyuni and its geomorphic implications. Key drivers of landscape development in Northern Tanzania are the tectonics and tectonically induced processes. The thus disrupt drainage networks and analyses thereof can reveal the effects on the morphology of stream longitudinal profiles. These transformations in turn, have an impact on driving river incision, in general on linear erosion phenomena. The triggered rill and gully erosion features will eventually lead to soil loss. Gully erosion is a major threat concerning landscape degradation in semiarid ecosystems, as they remove fertile topsoil and as such prevent agricultural use. The study showed, that most of the gully systems are there for decades and in stable conditions. There are, however, areas of exposed risk for erosion. A detailed examination of soil loss areas, innovative automatic surface runoff detector (SRD) devices have been installed. They measure runoff height and duration. This data contribute to a better understanding of the water cycle as well as to soil functions in semiarid environments. The specific research questions have been considered in five different publications that describe the applied methodologies and results in detail. In order to understand the different geomorphic processes, different methods and scales have been used. Field surveying was an important factor and surface runoff, soil characteristics and erosion phenomena have been sampled and measured. Specifically, this study examined rill and gully erosion features and underwent a detailed mapping around Makuyuni in order to describe and understand the occurring landscape systems. Laboratory procedures involved soil parameter analysing and digital data analysis involved digital elevation model analysis, remote sensing imagery, sophisticated statistical models and in the end a detailed geomorphic map compiling of the greater area. Many studies have focused on partial aspects of geomorphic processes. The frame-work of this doctoral thesis seeks to answer a holistic approach, in order to understand, interpret and discuss related geomorphic processes, their spatial extents and locations. This work contributes to the knowledge of present geomorphic processes and features and the landscape evolution within the Lake Manyara area in Northern Tanzania. The above mentioned methods and analyses may be applicable to similar areas in the African rift.Der große Ostafrikanische Grabenbruch teilt sich im südlichen Äthiopien in zwei Hauptsysteme, den östlichen und den westlichen Graben. Im östlichen Graben nehmen die vulkanischen Aktivitäten und daher auch die aktive Grabenbildung nach Süden zu, was zu der heutigen Bildung einer engen Grabenschlucht geführt hat, das sogenannte Gregory Rift in Tansania. An dessen südlichem Ende hat sich ein endorheisches Becken gebildet, wo sich heute der flache Salzsee Manyara befindet. Sein größter Zubringer ist der Fluss Makuyuni, welcher Frischwasser aus den vulkanischen Hochlanden nordwestlich des Beckens mit sich führt. Entlang diesen Flusses haben sich weitere Verzweigungen tief in die Sedimente gegraben; die Landschaft wird von Erosionsformen dominiert. In diesen Sedimenten zeigen sich nun freigelegte Artefakte und Fossilien, welche seit den 1930er Jahren bei archäologischen wie paläontologischen Expeditionen entdeckt wurden. In der Nähe der Siedlung Makuyuni wurden 2008 zwei Knochenreste von frühen Hominiden gefunden. Wenig Forschung gibt es über die Landschaft selber, die vorliegende Arbeit beschäftigt sich daher mit der Umgebung Makuyunis und seinen geomorphologischen Eigenschaften. Wesentlich für die Formung der Landschaft Nordtansanias sind die tektonischen und tektonisch-getriebenen Prozesse. Die dadurch gestörten Abflussnetzwerke und deren Analysen können die Auswirkungen auf die Morphologie der Abflusslängsprofile aufzeigen. Diese Veränderungen wiederum wirken sich auf die Einschneidungsdynamiken der Flüsse und Bäche aus, generell also auf lineare Abflussprozesse. Die so entstehenden Rillen- und Gullyerosionsformen führen zu Bodenverlusten. Die Gullyerosion ist eine der größten Naturgefahren in semiariden Ökosystemen, da sie große Teile des Oberbodens abtragen und so die Landschaft einer agrarischen Nutzung entziehen. Die Arbeit konnte aufzeigen, dass viele der Gullysysteme seit mehreren Jahrzehnten bestehen und stabil sind. Es gibt jedoch Bereiche, die von potentiellen Abtragungsrisiken betroffen sind. Um diese Bodenabtragungen genauer zu untersuchen, wurde mit innovativen Oberflächenabflussdetektoren gearbeitet. Diese messen den Oberflächenabfluss in seiner Höhe und Dauer. Diese Daten tragen zu einem besseren Verständnis des Wasserkreislaufes sowie allgemein zu Bodenfunktionen semiarider Ökosysteme bei. Die jeweiligen Forschungsfragen wurden in fünf Artikeln abgehandelt, diese beschreiben die angewandten Methoden und Resultate im Detail. Um die verschiedenen geomorphologischen Prozesse zu untersuchen, wurde mit verschiedenen Methoden und verschiedenen Skalen gearbeitet. Die Feldarbeit nahm einen wichtigen Teil ein und es wurden u.a. Oberflächenabfluss, Bodenwerte und Erosionsformen beprobt und vermessen. Im Speziellen wurden auf die Rillen- und Gullyerosion eingegangen sowie auf eine detaillierte Kartierung der Umgebung Makuyunis um die verschiedenen Landschaftssysteme zu beschreiben und zu verstehen. Im Labor wurden die Bodenproben analysiert und mit den digitalen Geländemodellen, den Fernerkundungsdaten und statistischen Methoden wurden einzelne Studien durchgeführt und am Ende eine geomorphologische Karte des Gebiets erarbeitet. Viele Studien untersuchten Teilbereiche geomorphologischer Prozesse. Im Rahmen dieser Doktorarbeit wurde daher ein ganzheitlicher Ansatz verfolgt, um die geomorphologischen Prozesse, ihre räumliche Ausdehnung und Verortung zu verstehen, zu interpretieren und die wissenschaftlichen Erkenntnisse als Ganzes zu diskutieren. Diese Arbeit trägt daher zu neuem Wissen aktueller geomorphologischer Prozesse und Formen sowie der Landschaftsentwicklung als solche in der Umgebung des Manyarasees in Nordtansania bei. Die dabei verwandten Methoden und Analysen sind in ähnlichen Ökosystemen entlang des Ostafrikanischen Grabens anwendbar

Measuring, modelling and managing gully erosion at large scales: A state of the art

Soil erosion is generally recognized as the dominant process of land degradation. The formation and expansion of gullies is often a highly significant process of soil erosion. However, our ability to assess and simulate gully erosion and its impacts remains very limited. This is especially so at regional to continental scales. As a result, gullying is often overlooked in policies and land and catchment management strategies. Nevertheless, significant progress has been made over the past decades. Based on a review of >590 scientific articles and policy documents, we provide a state-of-the-art on our ability to monitor, model and manage gully erosion at regional to continental scales. In this review we discuss the relevance and need of assessing gully erosion at regional to continental scales (Section 1); current methods to monitor gully erosion as well as pitfalls and opportunities to apply them at larger scales (section 2); field-based gully erosion research conducted in Europe and European Russia (section 3); model approaches to simulate gully erosion and its contribution to catchment sediment yields at large scales (section 4); data products that can be used for such simulations (section 5); and currently existing policy tools and needs to address the problem of gully erosion (section 6). Section 7 formulates a series of recommendations for further research and policy development, based on this review. While several of these sections have a strong focus on Europe, most of our findings and recommendations are of global significance.info:eu-repo/semantics/publishedVersio

Spectroscopy-supported digital soil mapping

Global environmental changes have resulted in changes in key ecosystem services that soils provide. It is necessary to have up to date soil information on regional and global scales to ensure that these services continue to be provided. As a result, Digital Soil Mapping (DSM) research priorities are among others, advancing methods for data collection and analyses tailored towards large-scale mapping of soil properties. Scientifically, this thesis contributed to the development of methodologies, which aim to optimally use remote and proximal sensing (RS and PS) for DSM to facilitate regional soil mapping. The main contributions of this work with respect to the latter are (I) the critical evaluation of recent research achievements and identification of knowledge gaps for large-scale DSM using RS and PS data, (II) the development of a sparse RS-based sampling approach to represent major soil variability at regional scale, (III) the evaluation and development of different state-of-the-art methods to retrieve soil mineral information from PS, (IV) the improvement of spatially explicit soil prediction models and (V) the integration of RS and PS methods with geostatistical and DSM methods. A review on existing literature about the use of RS and PS for soil and terrain mapping was presented in Chapter 2. Recent work indicated the large potential of using RS and PS methods for DSM. However, for large-scale mapping, current methods will need to be extended beyond the plot. Improvements may be expected in the fields of developing more quantitative methods, enhanced geostatistical analysis and improved transferability to other areas. From these findings, three major research interests were selected: (I) soil sampling strategies, (II) retrieval of soil information from PS and (III) spatially continuous mapping of soil properties at larger scales using RS. Budgetary constraints, limited time and available soil legacy data restricted the soil data acquisition, presented in Chapter 3. A 15.000 km2 area located in Northern Morocco served as test case. Here, a sample was collected using constrained Latin Hypercube Sampling (cLHS) of RS and elevation data. The RS data served as proxy for soil variability, as alternative for the required soil legacy data supporting the sampling strategy. The sampling aim was to optimally sample the variability in the RS data while minimizing the acquisition efforts. This sample resulted in a dataset representing major soil variability. The cLHS sample failed to express spatial correlation; constraining the LHS by a distance criterion favoured large spatial variability over short distances. The absence of spatial correlation in the sampled soil variability precludes the use of additional geostatistical analyses to spatially predict soil properties. Predicting soil properties using the cLHS sample is thus restricted to a modelled statistical relation between the sample and exhaustive predictor variables. For this, the RS data provided the necessary spatial information because of the strong spatial correlation while the spectral information provided the variability of the environment (Chapter 3 and 6). Concluding, the RS-based cLHS approach is considered a time and cost efficient method for acquiring information on soil resources over extended areas. This sample was further used for developing methods to derive soil mineral information from PS, and to characterize regional soil mineralogy using RS. In Chapter 4, the influences of complex scattering within the mixture and overlapping absorption features were investigated. This was done by comparing the success of PRISM’s MICA in determining mineralogy of natural samples and modelled spectra. The modelled spectra were developed by a linearly forward model of reflectance spectra, using the fraction of known constituents within the sample. The modelled spectra accounted for the co-occurrence of absorption features but eluded the complex interaction between the components. It was found that more minerals could be determined with higher accuracy using modelled reflectance. The absorption features in the natural samples were less distinct or even absent, which hampered the classification routine. Nevertheless, grouping the individual minerals into mineral categories significantly improved the classification accuracy. These mineral categories are particularly useful for regional scale studies, as key soil property for parent material characterization and soil formation. Characterizing regional soil mineralogy by mineral categories was further described in Chapter 6. Retrieval of refined information from natural samples, such as mineral abundances, is more complex; estimating abundances requires a method that accounts for the interaction between minerals within the intimate mixture. This can be done by addressing the interaction with a non-linear model (Chapter 5). Chapter 5 showed that mineral abundances in complex mixtures could be estimated using absorption features in the 2.1–2.4 µm wavelength region. First, the absorption behaviour of mineral mixtures was parameterized by exponential Gaussian optimization (EGO). Next, mineral abundances were successfully predicted by regression tree analysis, using these parameters as inputs. Estimating mineral abundances using prepared mixes of calcite, kaolinite, montmorillonite and dioctahedral mica or field samples proved the validity of the proposed method. Estimating mineral abundances of field samples showed the necessity to deconvolve spectra by EGO. Due to the nature of the field samples, the simple representation of the complex scattering behaviour by a few Gaussian bands required the parameters asymmetry and saturation to accurately deconvolve the spectra. Also, asymmetry of the EGO profiles showed to be an important parameter for estimating the abundances of the field samples. The robustness of the method in handling the omission of minerals during the training phase was tested by replacing part of the quartz with chlorite. It was found that the accuracy of the predicted mineral content was hardly affected. Concluding, the proposed method allowed for estimating more than two minerals within a mixture. This approach advances existing PS methods and has the potential to quantify a wider set of soil properties. With this method the soil science community was provided an improved inference method to derive and quantify soil properties The final challenge of this thesis was to spatially explicit model regional soil mineralogy using the sparse sample from Chapter 3. Prediction models have especially difficulties relating predictor variables to sampled properties having high spatial correlation. Chapter 6 presented a methodology that improved prediction models by using scale-dependent spatial variability observed in RS data. Mineral predictions were made using the abundances from X-ray diffraction analysis and mineral categories determined by PRISM. The models indicated that using the original RS data resulted in lower model performance than those models using scaled RS data. Key to the improved predictions was representing the variability of the RS data at the same scale as the sampled soil variability. This was realized by considering the medium and long-range spatial variability in the RS data. Using Fixed Rank Kriging allowed smoothing the massive RS datasets to these ranges. The resulting images resembled more closely the regional spatial variability of soil and environmental properties. Further improvements resulted from using multi-scale soil-landscape relationships to predict mineralogy. The maps of predicted mineralogy showed agreement between the mineral categories and abundances. Using a geostatistical approach in combination with a small sample, substantially improves the feasibility to quantitatively map regional mineralogy. Moreover, the spectroscopic method appeared sufficiently detailed to map major mineral variability. Finally, this approach has the potential for modelling various natural resources and thereby enhances the perspective of a global system for inventorying and monitoring the earth’s soil resources. With this thesis it is demonstrated that RS and PS methods are an important but also an essential source for regional-scale DSM. Following the main findings from this thesis, it can be concluded that: Improvements in regional-scale DSM result from the integrated use of RS and PS with geostatistical methods. In every step of the soil mapping process, spectroscopy can play a key role and can deliver data in a time and cost efficient manner. Nevertheless, there are issues that need to be resolved in the near future. Research priorities involve the development of operational tools to quantify soil properties, sensor integration, spatiotemporal modelling and the use of geostatistical methods that allow working with massive RS datasets. This will allow us in the near future to deliver more accurate and comprehensive information about soils, soil resources and ecosystem services provided by soils at regional and, ultimately, global scale.</p