Ionut Sandric

Ionut Sandric
University of Bucharest, Faculty of Geography · Department of Regional Geography and Environment

PhD

About

74
Publications
16,723
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490
Citations
Citations since 2017
30 Research Items
311 Citations
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
2017201820192020202120222023020406080100
Introduction
Landslide mapping and modelling Space-time modelling Uncertainty propagation Machine-Learning Remote Sensing

Publications

Publications (74)
Article
Full-text available
The paper presents a methodology to rapidly assess and map the landslide kinematics in areas with dense vegetation cover. The method uses aerial imagery collected with UAVs (Unmanned Aerial Vehicles) and their derived products obtained from the structure from motion technique. The landslide analysed in the current paper occurred in the spring of 20...
Article
The study is focused on modelling uncertainty propagation from GIS data sources and on assessing their influence on landslide susceptibility modelling. A complete set of tools was developed and written in C++ programming language, Python, and based on NVIDIA CUDA technology for terrain analysis. These tools are using Monte Carlo simulations to gene...
Article
Full-text available
It is well known that geological structure is one of the main predisposing factors that control landslide occurrence at regional scale. Along time, investigation of the role of structural and lithologic controls has raised the interest of specialists from various earth and planetary sciences who proposed different approaches that range from descrip...
Article
Full-text available
Please click here to download the map associated with this article.The evaluation of landslide susceptibility requires understanding of the spatial distribution of the factors that control slope instability. It is known that the behaviour of landslides is difficult to evaluate because of the various factors that trigger mass movements. The methodol...
Article
Full-text available
Please click here to download the map associated with this article.This paper presents a landslide inventory for the administrative area of Breaza, Prahova County, Romônia. The Breaza administrative area is located between 25°35′37.8″ and 25°42′12″ east longitude and 45°7′47″ and 45°13′45″ north latitude, covering an area of approximately 50 km The...
Article
Full-text available
Bat species inhabit subterranean environments (e.g., caves and mines) in small areas with specific microclimatic conditions, during various periods of their life cycle. Bats can be negatively influenced by microclimatic changes within their roosts if optimal habitat patches become unavailable. Therefore, proper management solutions must be applied...
Article
Full-text available
The importance of small urban green areas has increased in the context of rapid urbanization and the densification of the urban tissue. The analysis of these areas through remote sensing has been limited due to the low spatial resolution of freely available satellite images. We propose a timeseries analysis on 3 m resolution Planet images, using GE...
Article
Full-text available
Detection and classification of crown trees properties and assessment of their health status have raised much interest for the scientists from the forest and environmental sciences due to their essential role in landscape ecology and forestry management. The present study proposes a method based on consumer-based UAVs and deep learning techniques f...
Chapter
Over the years, the detection and classification of crown trees raised much interest for the scientists from the forest and environmental sciences, due to their essential role for landscape ecology and forestry management. Besides crown trees delineation and trees classification, an essential part of the trees health assessment is the extraction an...
Article
Full-text available
The need for information on soil moisture at large scale to facilitate a sustainable intensification of agricultural land and to ensure food security due to increasing populations cannot be overstated. Remote sensing provides a platform for potential national coverage of soil moisture monitoring. This study explores the potential for using a Synthe...
Article
The area around the town of Mangalia in Southern Dobrogea (Romania) hosts a unique karst landscape represented mostly by large collapse dolines. Around one of these collapse dolines, named Obanul Mare, there is a peculiar morphology of hillocks that resemble the tropical labyrinth-cone karst but on a much-reduced scale. This peculiar relief was hyp...
Article
Full-text available
The interaction between precipitation and vegetation plays a significant role in the formation of runoff, and it is still a widely discussed issue in hydrology. The difficulty lies in estimating the degree to which a forest influences runoff generation, especially flood peaks, on the one hand, due to the small amount of information regarding the ev...
Article
Full-text available
The largest megalake in the geological record formed in Eurasia during the late Miocene, when the epicontinental Paratethys Sea became tectonically-trapped and disconnected from the global ocean. The megalake was characterized by several episodes of hydrological instability and partial desiccation, but the chronology, magnitude and impacts of these...
Conference Paper
Full-text available
The largest megalake in the record formed in Eurasia during the late Miocene, when the epicontinental Paratethys Sea became tectonically-trapped and disconnected from the global ocean. The Paratethys megalake was characterized by several episodes of hydrological instability and partial desiccation, but the chronology, magnitude and impacts of these...
Chapter
Full-text available
This study provides the first results from an initial exploration of the so-called ‘simplified triangle’ for estimating evaporative fraction (EF) and surface soil moisture (SSM) from remotely sensed data of land surface temperature (Ts) and a vegetation index (VI) derived from ESA's Sentinel-3 satellite. The technique is implemented for 11 cloud-fr...
Article
This study investigates the influence of the urban lakes from Bucharest (Romania) on the microclimate of their hinterland using satellite remote sensing products. The land surface temperature (LST) at 30 m spatial resolution was retrieved from Landsat TM and TIRS imagery referring to clear-sky conditions over the study area. The influence of the ur...
Article
Full-text available
Earth Observation (EO) makes it possible to obtain information on key parameters characterizing interactions among Earth’s system components, such as evaporative fraction (EF) and surface soil moisture (SSM). Notably, techniques utilizing EO data of land surface temperature (Ts) and vegetation index (VI) have shown promise in this regard. The prese...
Article
Full-text available
Traditional methods for individual tree-crown (ITC) detection (image classification, segmentation, template matching, etc.) applied to very high-resolution remote sensing imagery have been shown to struggle in disparate landscape types or image resolutions due to scale problems and information complexity. Deep learning promised to overcome these sh...
Article
Full-text available
Large and comparatively compact European cities such as Bucharest and Leipzig struggle with considerable urban heat island (UHI) effects characterized by heat and drought together with high concentrations of air pollutants (NO2, SO2, O3, CO2). However, a healthy urban green infrastructure is necessary to reduce the impacts of UHI on human health. T...
Article
The Carpathian island-type glaciokarst has a great potential of preserving signals of past environments, archived in cave deposits like speleothems and clastic infills. We present here the geomorphology and structural control of several relict alpine caves and the surrounding glaciated marble karst in the Făgăraș Mountains. Four truncated and parti...
Presentation
Individual tree detection from remote sensing data is one of the main research areas concerning the exploitation of satellite and drone imagery for forestry and related ecological fields. While traditional techniques for tree detection for this kind of data exist, they are demonstrated to have many drawbacks related to pre-processing steps, data he...
Conference Paper
With the increasing availability of data with very high and ultra-high spatial resolutions, the need to automate processes for mapping natural hazards has also increased. More and more applications are using deep learning algorithms to extract, track and classify valuable information from aerial images, satellite images or aerial geocoded videos. O...
Presentation
Full-text available
One of the key elements in monitoring forest changes is Remote Sensing. With the increase of public available satellite images, like Landsat and Sentinel 1 and 2 (DeVries et al. 2015), the accuracy of forest disturbance mapping in space and time has also increased significantly. Even though the number of available satellite images has increased, tr...
Article
Attempts to obtain information from geospatial data in freshwater ecology is a highly challenging task requiring the development of new concepts and adequate tools. Conventionally, river networks are represented as collections of vectors, but they can also be thought of as a succession of raster cells corresponding to the digital elevation model of...
Conference Paper
Full-text available
Geoelectrical investigation of underground cavities has some specific challenges. The geometry of the cavity, its volume and depth, as well as the presence of the filling material (when is the case), are the dominant factors for a successful resistivity survey. Despite the theoretical approach which seems to be favorable for such applications, ther...
Presentation
Full-text available
Performing landslide hazard assessments requires modelling both the spatial and the temporal dimensions of landslide occurrences. However, most landslide hazard predictions only refer to terrain's susceptibility without including information on the temporal component of the hazard. Weather forecast platforms provide, in a very simple manner, inform...
Poster
Full-text available
ESA and NASA missions offers systematic and continuous Earth observation imagery, bringing significant contributions to land observation services while also having numerous environmental applications in quantifying land change, ecosystem dynamics, pollution, etc. Although datasets have open access, the problem lies in the accessibility and processi...
Presentation
Full-text available
This paper addresses one of the biggest challenges regarding Sentinel-2 data, related to the need of an efficient tool to access and process the large collection of images that are available. Consequently, developing a tool for the automation of Sentinel-2 data analysis is the most immediate need. We developed a series of tools for the automation o...
Chapter
Full-text available
Romania represents one of Europe’s most active landslide hotspots. The importance of studying these phenomena is both fundamental (establishing the morphogenetic and morphodynamic frameworks) and applied (quantifying and predicting the potential losses inflicted by such processes). The analysis of agents–processes–forms can be directed toward predi...
Article
This paper addresses a regional-scale analysis of the rainfall-induced landslides for 2014 storm events based on detailed hydro-meteorological data set in the Ialomita Subcarpathians. This area is located in the western part of the Curvature Subcarpathians, a complex geological and geomorphic unit in Romania. The high temporal frequency of landslid...
Article
Full-text available
The study presents the validation of SMOS soil moisture satellite products for Romania. The validation was performed with in-situ measurements spatially distributed over the country and with in-situ measurements concentrated in on small area. For country level a number of 20 stations from the national meteorological observations network in Romania...
Article
Full-text available
The study presents the validation of SMOS soil moisture satellite products for Romania. The validation was performed with in-situ measurements spatially distributed over the country and with in-situ measurements concentrated in on small area. For country level a number of 20 stations from the national meteorological observations network in Romania...
Conference Paper
Full-text available
The relationship between bedding planes and topographic slopes plays a major role in controlling landslide mechanisms. The catastrophic nature of many landslides around the Globe was proved to have a relevant structural background. This paper aims at analyzing the relationship between the spatial distribution of landslides and geological structure...
Chapter
The presence of wilderness areas in the Carpathian Mountains suggests that the Natural habitats that are part of this region still maintain their ecological functionality, but there are chances that some of these were not included into the network of protected Natural areas. There is thus an urgent need to find a method that can reliably identify t...
Conference Paper
Full-text available
An increasing number of free and open access global digital elevation models has become available in the past 15 years and these DEMs have been widely used for the assessment of landslide susceptibility at medium and small scales. Even though the global vertical and horizontal accuracies of each DEM are known, what it is still unknown is the uncert...
Conference Paper
Full-text available
Mountain snow cover is particularly sensitive to the observed shifts in the regime of its two determinants (air temperature and precipitation), in response to climate warming. The climate of the Romanian Carpathians became warmer particularly in winter, spring and summer, exibiting an increasing frequency of hot extremes and a decrease of freezing...
Conference Paper
Full-text available
Like in many parts of the world, in Romania, landslides represent recurrent phenomena that produce numerous damages to infrastructure every few years. Various studies on landslide occurrence in the Curvature Subcarpathians reveal that rainfall represents the most important triggering factor for landslides. Depending on rainfall characteristics and...
Conference Paper
Full-text available
This paper uses quantitative approaches to generate a landslide susceptibility maps (LSM) for the Luncav˘ at , watershed , located in the Getic Subcarpathians, Romania. The purpose of this study is to evaluate and to compare the results of multivariate and bivariate landslide susceptibility methods. For this study it was decided to use only three p...
Conference Paper
Full-text available
Most of the present day studies make use the 2.5D raster data formats for the landslide susceptibility analysis at regional scales. This data format has some disadvantages when geological and lithological settings are spatial dis-cretized, hence these disadvantages propagate in the landslides susceptibility analysis and especially where only surfac...
Conference Paper
Full-text available
The Spinning Enhanced Visible and Infrared Imager (SEVIRI) is multispectral sensor that is one of the main instruments on-board the MSG series of platforms. The radiometer is obtaining from a geostationary orbit coverage of Europe every 15 minutes, but it can also acquire data every 5’ in the Rapid Scanning Service mode at the expense of coverage....
Conference Paper
Full-text available
Mountain snow cover is particularly sensitive to the observed shifts in the regime of its two determinants (air temperature and precipitation), in response to climate warming. The climate of the Romanian Carpathians became warmer particularly in winter, spring and summer, exibiting an increasing frequency of hot extremes and a decrease of freezing...
Conference Paper
Full-text available
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Chapter
Ialomita Subcarpathians are characterized by a very complex geology, where the following identify: systems of napes, post tectonic covers, diapirism phenomena and vertical faults. The high temporal frequency of landslides (1997, 1998, 2005, 2006, 2010 and 2012) leads us to considerer that these processes play a major role in the evolution of this a...
Article
The town of Predeal is the highest altitude urban settlement in the Romanian Carpathians (975–1060 m) and is a famous regional skiing resort. Recent urban extension of the settlement on to areas previously covered by landslides represents a key issue and potential hazard for future urban development. In order to provide data for the urban planning...
Conference Paper
Full-text available
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Article
In order to minimize the negative environmental impacts of agriculture, the EU has implemented agri-environmental programs. This study investigates the correlation between the implementation of these measures and the groundwater nitrate concentration in Baden Wurttemberg (Germany). Only the measures that would have a direct impact on groundwater qu...
Article
The Romanian Carpathians are subject to winter warming as statistically proved by station measurements over a 47 year period (1961-2007). Herein, the snow season is considered to last from the 1st of November to the 30th of April, when snowpack usually reaches the highest stability and thickness. This paper investigates the signals of winter temper...
Article
In order to model the uncertainty from DEM a special model was created and implemented as Python script in ArcGIS Desktop using the ArcPy SDK provided by ESRI. The model is based on Monte Carlo simulation for generating noise and Map Algebra for adding the noise to DEM. The model can be used and independent script or combined with any other models....
Article
Landslides hazard modeling implies assumptions on prior conditional density functions of predisposing and triggering factors. The model uses beta distribution to calculate the prior and conditional probability density functions for landslides triggering factors. The landslides triggering factor is considered the soil water content. The model takes...
Conference Paper
The landslide hazard analysis models takes into consideration both predisposing and triggering factors combined into a Bayesian temporal network with uncertainty propagation. The model uses as predisposing factors the first and second derivatives from DEM, the effective precipitations, runoff, lithology and land use. The latter is expressed not as...
Conference Paper
Classical approaches for landslides hazard assessment are based on raster or grid format and are expressing the level of hazard for each pixel or grid node. Because landslides are not continuous distributed phenomena, the classical approach can underestimate or overestimate the hazard level. This paper uses a different approach for data format, use...
Article
Full-text available
Vrancea Seismic Region, covering a surface of 8 000 km2 in the Romanian Curvature Carpathians, represents one of Europe's most intensely affected by slope and channel processes area. Due to its geographical framework (a diverse relief, of mountains, hills and depressions) and socio-political situation (several changes of property due to historical...
Article
Landslides are a common feature in the landscape of the Romanian hills and plateaus, affecting around 7% of the national territory (Pusch, 2004). It is general knowledge that landslides represent the combined result of a series of predisposing factors (lithology, faults, slope, land-use, land cover, etc.) with long term impact on slope stability an...
Article
Hazard analysis requires heavy computation and specialized software. Web processing services can offer complex solutions that can be accessed through a light client (web or desktop). This paper presents a web processing service (both WPS and Esri Geoprocessing Service) for landslides hazard assessment. The web processing service was build with Esri...
Conference Paper
Full-text available
Vrancea Seismic Region, covering a surface of 8 000 km2 in the Romanian Curvature Carpathians, represents one of Europe’s most intensely affected by slope and channel processes area. Due to its geographical framework (a diverse relief, of mountains, hills and depressions) and socio-political situation (several changes of property due to historical...
Conference Paper
Full-text available
The study was focused upon obtaining a reliable GIS methodology as a means by which the concept of wilderness could be mapped. The most isolated areas in the Southern Carpathians, were identified using a decaying multi criteria evaluation model (MCE), composed of three main classes: remoteness from anthropic elements, density of isolated buildings...
Chapter
Full-text available
The Carpathian and Subcarpathian towns in Romania developed under different geographical and historical conditions. Their built-up areas cover mainly slopes and sometimes terraces and higher floodplains. Some towns are old (mainly since the 14–16th centuries) but there are also newer settlements (since the 19th and even the last century). Mass move...
Conference Paper
Presently, the development of GIS together with the analysis of the digital terrain model (DTM) and the satellite imagery makes possible the improvement and the up-dating of the geomorphological maps content. A geomorphological map synthesizes the way the relief forms, the way surface or sub-surface deposits are distributed, as well as the processe...
Article
Full-text available
Mapping landslides and building landslides inventory have received a special attention from a wide range of specialist. In building a landslide inventory an important step is the spatial delineation of the landslides body, followed by the landslides classification according with an international used classification system and the identification of...
Article
Full-text available
Bucegi Mountains in Romania The Bucegi Mountains are situated in the Curvature Carpathians close to the metropolitan area of Bucharest. Tourism has been promoted on the Bucegi Plateau since the 1930s with the establishment then of several hotels and chalets. During the communist period after World War II, the area targeted mass tourism with the cre...
Article
Full-text available
The Iezer Mountains are part of the Southern Carpathians in Romania; the elevation range spans over 1800 m, with the highest peak at 2470 m. In recent years, the vegetation in this montane landscape has undergone various changes. The aim of the present analysis is to test whether the evolution of vegetation zones can be modeled using remote sensing...
Article
Full-text available
The Iezer Mountains are part of the Southern Carpathians in Romania; the elevation range spans over 1800 m, with the highest peak at 2470 m. In recent years, the vegetation in this montane landscape has undergone various changes. The aim of the present analysis is to test whether the evolution of vegetation zones can be modeled using remote sensing...
Conference Paper
Full-text available
The evolution of Bucharest during the last 40 years showed spectacular changes, as a result of the socialist urban policy. The paper investigates the leading transformation of the urban structures, comparing declassified intelligence imagery (2002) CORONA KH 7 (0.60-1.20 m spatial resolution) from 1966 and IKONOS pansharpened image from 2002 (1 m s...
Article
Full-text available
Cuvinte cheie: harta geomorphologică, SIG, vectori, MNA, overlay, legendă. Contribuţii la întocmirea hărţii geomorfologice generale cu ajutorul SIG. Aplicaţie la Munţii Timişului (Carpaţii Curburii). Harta geomorphologică a Munţilor Timişului (Postăvarul-Piatra Mare-Clăbucetele Predealului) a fost întocmită la scara 1:25000. Aceasta este o sinteză...

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Projects (4)
Project
EGU 2021 Session in ESSI: Understanding Earth’s system natural processes, especially in the context of global climate change, has been recognised globally as a very urgent and central research direction which need further exploration. With the launch of new satellite platforms with a high revisit time, combined with the increasing capability for collecting repetitive ultra-high aerial images, through unmade aerial vehicles, the scientific community have new opportunities for developing and applying new image processing algorithms to solve old and new environmental issues. The purpose of the proposed session is to gather scientific researchers related to this topic aiming to highlight ongoing researches and new applications in the field of satellite and aerial time-series imagery. The session focus is on presenting studies aimed at the development or exploitation of novel satellite times series processing algorithms, and applications to different types of remote sensing data for investigating longtime processes in all branches of Earth (sea, ice, land, atmosphere). The conveners encourage both applied and theoretical research contributions focusing in novel methods and applications of satellite and aerial time-series imagery all disciplines of geosciences, including both aerial and satellite platforms and data acquired in all regions of the electromagnetic spectrum.
Project
Landslide features mapping and risk analysis in near-real-time using Machine Learning, High-Resolution Aerial Imagery obtained from UAV.