Remote sensing has become the most important data source for digital elevation model (DEM) generation. DEM analyses can be applied in various fields and many of them require appropriate visualization support. Analytical hill-shading is frequently used relief technique. Although widely accepted, this method two major drawbacks: identifying details deep shades inability to properly represent linear features lying parallel light beam. Several authors have tried overcome these limitations by...

Visualization products computed from a raster elevation model still form the basis of most archaeological and geomorphological enquiries lidar data. We believe there is need to improve existing visualizations create meaningful image combinations that preserve positive characteristics individual techniques. In this paper, we list criteria good visualization should meet, present five different blend modes (normal, screen, multiply, overlay, luminosity), which combine various images into one,...

Aerial mapping and remote sensing takes another step forward with this method of modelling lidar data. The usual form presentation, hill shade, uses a point source to show up surface features. Sky-view factor simulates diffuse light by computing how much the sky is visible from each point. result greatly improved visibility — as shown here its use on test site known topography in Slovenia.

Abstract The Pannonian Basin in southeastern Europe is heavily used for rain-fed agriculture. region experienced several droughts the last years, causing major yield losses. Ongoing climate change, characterised by increasing temperatures and potential evapotranspiration, changes precipitation distribution will likely increase frequency intensity of drought episodes future. Hence, ongoing monitoring estimation their impact on agriculture necessary to adapt agricultural practices changing...

Archaeologists engaging with Airborne Laser Scanning (ALS) data rely heavily on manual inspection of various derived visualizations. However, ALS is extremely time-consuming and as such presents a major bottleneck in the analysis workflow. We have therefore set out to learn test deep neural network model for classifying from previously manually annotated ancient Maya structures Chactún archaeological site Campeche, Mexico. considered several variations VGG-19 Convolutional Neural Network...

Artificial intelligence (AI) is transforming landscape archaeology by enabling the automated analysis of high-resolution datasets, such as airborne laser scanning (ALS). The Automatic Detection Archaeological Features (ADAF) tool an example potential AI to streamline identification subtle surface features and demonstrate their value in uncovering understanding archaeological landscapes. By improving detection sites, ADAF plays a crucial role research, management preservation cultural...

Abstract The authors assess the potential contribution of lidar surveys to national inventories archaeological resources (‘Historic Environment Records’), and compare relative costs sensitivity aerial photography.

Hillshaded digital elevation models are a well-known information layer used to determine the geomorphological properties of landslides. However, their use is limited because results dependent on particular sun azimuth and elevation. Approaches proposed overcome this bias include positive openness, sky-view factor, red relief image maps, prismatic openness. We propose an upgrade all these methods, method named Visualization for Archaeological Topography (VAT). The based fusion four layers...

Abstract In our study, we set out to collect a multimodal annotated dataset for remote sensing of Maya archaeology, that is suitable deep learning. The covers the area around Chactún, one largest ancient urban centres in central Yucatán Peninsula. includes five types data records: raster visualisations and canopy height model from airborne laser scanning (ALS) data, Sentinel-1 Sentinel-2 satellite manual annotations. annotations (used as binary masks) represent three different structures...

The terraced landscape in the Jeruzalem Hills is result of specific socioeconomic conditions under communism, and now its appearance drastically changing for second time last fifty years. This article examines creation new layer modern cultivated terraces studies their disappearance return to a condition similar original state. analysis based on interviews visual interpretation aerial laser scanning (lidar) data. It focuses state before terracing, formation landscape, most recent...

This paper proposes an ontological approach to connect the archaeological topographic evidence for movement in landscape which can be derived from interpretation and spatial analysis of airborne lidar data with models modeling exercises such as Agent Based Modelling or Cost Path Modelling. computational ontology enables investigation its manifestations at various spatio-temporal scales. It creates explicit framework accessing meaningful information about generated through research using both...

System for mapping of water bodies in Slovenia and its immediate neighbourhood with Sentinel-1 radar satellites have implemented. Algorithms automatically detect presence new data the archive, download data, analyse it, write results, upload them to a web portal. New acquisitions are currently available every six days, but this time will be halved when second starts delivering data.

Such a diverse and sensitive eco-region as Karst needs to be managed with special attention consideration of its natural cultural resources. Land cover is an important indicator, which enables the analysis their condition development monitoring. Advanced satellite images classification represents accurate cost-effective alternative classical techniques land mapping. The methods used produce reliable map are presented in this paper. complexity area requires combination various data such...

Airborne laser scanning (ALS) greatly accelerated and expanded traditional archaeological landscape surveys in the forested regions of ancient Maya. Private public funding enabled visualizations ranging from site-scale to almost regional investigations. However large-scale, airborne missions are limited area they can cover. This is why this paper we analyze potential a free, globally available lidar dataset for exploration environment. The Global Ecosystem Dynamics Investigation (GEDI) full...

Until recently, an extensive area in the central lowlands of Yucatán peninsula was completely unexplored archaeologically. In 2013 and 2014, during initial surveys northern part uninhabited Calakmul Biosphere Reserve eastern Campeche, Mexico, we located Chactún, Tamchén Lagunita, three major Maya centers with some unexpected characteristics. Lidar data, acquired 2016 for a larger 240 km 2 , revealed thoroughly modified undisturbed archaeological landscape remarkably large number residential...

Inventory data used in archaeology is often incomplete and heterogeneous. In the framework of ArchaeDyn program, a method has been proposed to evaluate heterogeneity archaeological inventories. The purpose this work create validation tool interpret results. This called “confidence map” produced by combining representation reliability maps. first step consists generating maps describe clustering items. second based on Data providers are asked define outline level their data. Then layers...

Abstract. Lossy compression is becoming increasingly used in remote sensing although its effect on the processing results has yet not been fully investigated. This paper presents effects of JPEG 2000 lossy classification very high-resolution WorlView-2 imagery. The k-nearest neighbor and support vector machine methods object based were compared. explore impact images, segmentation resulting classification. study proves that general does adversely affect images; what more, some cases...

The paper presents a method for mapping fluvial gravel bars based on Sentinel-2 and Landsat imagery. proposed therefore uses spectral signal mixture analysis (SSMA) because its results allow the development of land cover fraction maps surface water, gravel, vegetation. is validated spatially heterogeneous mountainous area in upper Soča river basin north-west Slovenia, Central Europe. Unmixing highly accurate with MAE around 0.1. Gravel fractions are mapped most accurately, indicating that...