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"Aerial photographs"
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Characteristics and Distribution of Landslides in the Populated Hillslopes of Bujumbura, Burundi
Accurate and detailed multitemporal inventories of landslides and their process characterization are crucial for the evaluation of landslide hazards and the implementation of disaster risk reduction strategies in densely-populated mountainous regions. Such investigations are, however, rare in many regions of the tropical African highlands, where landslide research is often in its infancy and not adapted to the local needs. Here, we have produced a comprehensive multitemporal investigation of the landslide processes in the hillslopes of Bujumbura, situated in the landslide-prone East African Rift. We inventoried more than 1200 landslides by combining careful field investigation and visual analysis of satellite images, very-high-resolution topographic data, and historical aerial photographs. More than 20% of the hillslopes of the city are affected by landslides. Recent landslides (post-1950s) are mostly shallow, triggered by rainfall, and located on the steepest slopes. The presence of roads and river quarrying can also control their occurrence. Deep-seated landslides typically concentrate in landscapes that have been rejuvenated through knickpoint retreat. The difference in size distributions between old and recent deep-seated landslides suggests the long-term influence of potentially changing slope-failure drivers. Of the deep-seated landslides, 66% are currently active, those being mostly earthflows connected to the river system. Gully systems causing landslides are commonly associated with the urbanization of the hillslopes. Our results provide a much more accurate record of landslide processes and their impacts in the region than was previously available. These insights will be useful for land management and disaster risk reduction strategies.
Journal Article
Determination of location of historical and cultural heritage objects using photogrammetric and geophysical methods
Two central problems related to the study of historical fortification systems are apparent. First, there are high labour costs for the excavation of defensive structures. Therefore, studying each line of defence along its entire length by traditional archaeological methods is practically impossible. That’s probably why special studies of the fortification system are the exception rather than the rule, and information about defensive structures is given in single sections. The second problem is related to the fact that some lines of fortifications were destroyed in ancient times or were practically destroyed due to later economic activity. The specified circumstances determine the need to use photogrammetric and geophysical methods for the preliminary search of the infrastructure of defence structures. This work provides an example of deciding mass graves during the Second World War using the interpretative properties of German aerial photographs of 1944, archival cartographic data on the territory of the Lviv Citadel, where the Nazi concentration camp for prisoners of war Stalag-328 was located during the war. After predetermining the places of mass graves by photogrammetric methods, geophysical surveys were carried out with the help of ground-penetrating radar (GPR) for the exact localisation of the graves. 13 locations of mass burials and mass executions and burning of bodies of prisoners of war were discovered.
Journal Article
LANDSLIDE EVOLUTION PATTERN REVEALED BY MULTI-TEMPORAL DSMS OBTAINED FROM HISTORICAL AERIAL IMAGES
Landslides are a widespread natural hazard that cause damages to people and to the built up environment. Accurate knowledge of landslide distribution is crucial to develop planning strategies, prevention and resilient communities worldwide. One of the most diffuse way of reporting landslides distribution in a territory is by preparing landslide inventory maps. Such a task is mostly accomplished by expert photo-interpretation of historical aerial photographs, which are an invaluable source of information because they portray the landscape when the anthropic pressure was lower than the present day, providing an observation of the landscape closer to the natural conditions. Despite such a common use of aerial photographs, they are poorly exploited to obtain quantitative measures to support landslide mapping activities. In this paper we present a comparison of two photogrammetric approaches to measure elevation changes in a 50-years period for an area densely affected by landslides in Southern Italy. The obtained results allowed to revisit the original expert mapping proving that such a method is a useful tool to support geomorphological mapping and to improve the overall accuracy of landslide inventories.
Journal Article
Image-to-Image Subpixel Registration Based on Template Matching of Road Network Extracted by Deep Learning
The vast digital archives collected by optical remote sensing observations over a long period of time can be used to determine changes in the land surface and this information can be very useful in a variety of applications. However, accurate change extraction requires highly accurate image-to-image registration, which is especially true when the target is urban areas in high-resolution remote sensing images. In this paper, we propose a new method for automatic registration between images that can be applied to noisy images such as old aerial photographs taken with analog film, in the case where changes in man-made objects such as buildings in urban areas are extracted from multitemporal high-resolution remote sensing images. The proposed method performs image-to-image registration by applying template matching to road masks extracted from images using a two-step deep learning model. We applied the proposed method to multitemporal images, including images taken more than 36 years before the reference image. As a result, the proposed method achieved registration accuracy at the subpixel level, which was more accurate than the conventional area-based and feature-based methods, even for image pairs with the most distant acquisition times. The proposed method is expected to provide more robust image-to-image registration for differences in sensor characteristics, acquisition time, resolution and color tone of two remote sensing images, as well as to temporal variations in vegetation and the effects of building shadows. These results were obtained with a road extraction model trained on images from a single area, single time period and single platform, demonstrating the high versatility of the model. Furthermore, the performance is expected to be improved and stabilized by using images from different areas, time periods and platforms for training.
Journal Article
Kite's eye view, India : between earth and sky
Unique and specular views of the wonders of India.
Book
DOCUMENTING ANCIENT THRESHING FLOORS AS PART OF OUR TANGIBLE/INTANGIBLE CULTURAL HERITAGE FROM ARCHIVE AERIAL PHOTOS: A CASE STUDY IN CYPRUS
Threshing floors are common cultural features of the Mediterranean agricultural landscape and have been used from antiquity until some decades ago to thresh grains. Therefore, they constitute an integral part of our tangible and intangible cultural heritage as they are constructions that are linked with complex relationships between crops, technology, folklore, local materials and traditions from our ancestors. However, today, threshing floors are obsolete and destroyed almost everywhere due to modern development and very little attention has been given by archaeologists to these important cultural features. The identification and recording of ancient activity areas such as threshing floors is an important part of archaeological research contributing to the reconstruction of past ways of life and to the preservation of inherited traditions from the past. Access to historical archives of aerial photographs provide a high-quality photographic record, offering considerable potential in detecting ancient threshing floors that do not exist anymore because they have been buried in the course of time or destroyed. This study was conducted to deploy a methodology that deals with the identification of ancient threshing floors and their remains in the island of Cyprus through photo interpretation, by utilizing archival aerial imagery in combination with supplement ethnoarchaeological information.
Journal Article