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Christian Berger

Christian Berger
Jena City Administration · Team Geoinformation

PhD

About

52
Publications
18,218
Reads
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1,436
Citations
Citations since 2016
33 Research Items
1305 Citations
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2016201720182019202020212022050100150200250300
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Introduction
I am a geospatial analyst with the Jena City Administration and an associated researcher with the Department for Earth Observation, Friedrich-Schiller-Universität Jena, Germany. My research focuses on mapping and monitoring urban areas as well as forest and savanna ecosystems. Website: https://bit.ly/2LRyJjq LinkedIn: https://bit.ly/2F3w7M8 Twitter: @christjanberger
Additional affiliations
October 2020 - present
Friedrich Schiller University Jena
Position
  • Researcher
October 2020 - October 2020
Jena City Administration
Position
  • Analyst
April 2009 - present
Friedrich Schiller University Jena
Position
  • Research Associate
Education
January 2011 - June 2017
Friedrich Schiller University Jena
Field of study
  • Remote Sensing
October 2007 - June 2010
Friedrich Schiller University Jena
Field of study
  • Geoinformatics
October 2004 - September 2007
Friedrich Schiller University Jena
Field of study
  • Geography

Publications

Publications (52)
Article
Full-text available
Savannas are heterogeneous ecosystems, composed of varied spatial combinations and proportions of woody and herbaceous vegetation. Most field-based inventory and remote sensing methods fail to account for the lower stratum vegetation (i.e., shrubs and grasses), and are thus underrepresenting the carbon storage potential of savanna ecosystems. For d...
Preprint
Full-text available
Climatic and land management factors, such as water availability and grazing intensity, play an important role in seasonal and annual variability of the ecosystem–atmosphere exchange of CO2 in semi-arid ecosystems. However, the semi-arid South African ecosystems have been poorly studied. Four years of measurements (November 2015–October 2019) were...
Article
Full-text available
Dead wood such as coarse dead wood debris (CWD) is an important component in natural forests since it increases the diversity of plants, fungi, and animals. It serves as habitat, provides nutrients and is conducive to forest regeneration, ecosystem stabilization and soil protection. In commercially operated forests, dead wood is often unwanted as i...
Conference Paper
Full-text available
The overarching goal of SALDi (South African Land Degradation MonItor) is to implement novel, adaptive, and sustainable tools for assessing land degradation in multi-use landscapes in South Africa. This presentationdemonstrates results from hyper-temporal Sentinel-1 and -2 timeseries concerning woody cover mapping in complex savanna systems, invasi...
Conference Paper
This study explores the potential of Landsat-8 and Sentinel-2 imagery for annual grass biomass mapping in savannas. To this end, three wet season image mosaics based on Landsat-8 and Sentinel-2 were created for 2016, 2017 and 2018 over Kruger National Park (KNP), South Africa. For the purpose of calibration and validation, use was made of in situ f...
Conference Paper
In this paper, we propose a methodology for upscaling fractional vegetation cover (FVC) estimates derived from unmanned aerial vehicles (UAVs) to a larger area using freely available Sentinel-1/2 and Landsat-8 satellite data in the semi-arid Nama-Karoo biome of South Africa. To the best of our knowledge, such an approach is still lacking yet critic...
Article
Full-text available
The savanna ecosystems in South Africa, which are predominantly characterised by woody vegetation (e.g. shrubs and trees) and grasslands with annual phenological cycles, are shaped by ecosystem processes such as droughts, fires and herbivory interacting with management actions. Therefore, monitoring of the intra- and inter-annual vegetation structu...
Article
Full-text available
There is no doubt that unmanned aerial systems (UAS) will play an increasing role in Earth observation in the near future. The field of application is very broad and includes aspects of environmental monitoring, security, humanitarian aid, or engineering. In particular, drones with camera systems are already widely used. The capability to compute u...
Article
Full-text available
There is no doubt that unmanned aerial systems (UAS) will play an increasing role in Earth observation in the near future. The field of application is very broad and includes aspects of environmental monitoring, security, humanitarian aid, or engineering. In particular drones with camera systems are already widely used. The capability to compute ul...
Method
A workflow to derive woody cover information for the Kruger National Park, South Africa, from freely available Sentinel-1 C-Band time series and LiDAR data using machine learning (MLR and Ranger in R). The methodology is described in following publication: Urban, M., K. Heckel, C. Berger, P. Schratz, I.P.J. Smit, T. Strydom, J. Baade & C. Schmulli...
Article
Full-text available
Southern Africa is particularly sensitive to climate change, due to both ecological and socio-economic factors, with rural land users among the most vulnerable groups. The provision of information to support climate-relevant decision-making requires an understanding of the projected impacts of change and complex feedbacks within the local ecosystem...
Poster
Full-text available
Reference data sets for vulnerable ecosystems such as the Kruger National Park (KNP) in South Africa are mandatory sources of information for any scientific study in this area, but are commonly scarce. Therefore, this project aims at delivering the first wall-to-wall high-resolution height models for the KNP, which will be open to public. In 2018 t...
Conference Paper
With the launch of the two Sentinel-1 satellites, very dense synthetic aperture radar (SAR) time series have become available. These new time series allow to develop novel speckle supression algorithms. We propose a new speckle filter for hypertemporal SAR image stacks which only operates in the temporal domain. The filtering in the temporal domain...
Poster
The savanna ecosystems in South Africa, which are predominantly characterized by woody vegetation (e.g. shrubs and trees) and grasslands with seasonal changes, are vulnerable to impacts from droughts, fires, herbivory, etc. Therefore, monitoring of the vegetation structure and dynamics is one of the essential components for the management of comple...
Presentation
The monitoring of soil moisture content and spatial-temporal dynamics is of great importance for understanding the earth system, as it is an essential surface parameter for observing the linkage between water, energy and carbon dynamics. Soil moisture is influenced by the amount of precipitation but also affects precipitation due to evapotranspirat...
Poster
The savanna ecosystems in South Africa, which are predominantly characterized by woody vegetation (e.g. shrubs and trees) and grasslands with seasonal changes, are vulnerable to impacts from droughts, fires, herbivory, etc. Therefore, monitoring of the vegetation structure and dynamics is one of the essential components for the management of comple...
Presentation
During the southern summer season of 2015 and 2016, South Africa experienced one of the most severe meteorological droughts since the start of climate recording, due to an exceptionally strong El Niño event. To investigate spatiotemporal dynamics of surface moisture and vegetation structure, data from ESA’s Copernicus Sentinel-1/-2 and NASA’s Lands...
Article
Full-text available
The surface urban heat island (SUHI), which represents the difference of land surface temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually measured using satellite LST data. Over the last few decades, advancements of remote sensing along with spatial science have considerably increased the number and quality of SUHI s...
Poster
Full-text available
Our poster presented at the 4th South African National Conference on Global Change 2018 presents the main themes of the EMSAfrica project. Southern Africa is particularly sensitive to climate change due to both ecological and socioeconomic factors. Rapidly growing population and threats to the sustainability of ecosystem service delivery at local,...
Article
Full-text available
During the southern summer season of 2015 and 2016, South Africa experienced one of the most severe meteorological droughts since the start of climate recording, due to an exceptionally strong El Niño event. To investigate spatiotemporal dynamics of surface moisture and vegetation structure, data from ESA’s Copernicus Sentinel-1/-2 and NASA’s Lands...
Article
Urban structure types (USTs) are an ecological concept to divide cities into spatial units of homogenous environmental conditions. They provide a useful means to conceive efficient strategies for sustainable urban development. Cutting edge remote sensing data and methods allow for the automation of the UST classification process. This paper aims at...
Article
Full-text available
Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression algorithms. Here we propose an image transform for hypertemporal SAR image time stacks. This proposed...
Article
Full-text available
The use of optical remote sensing data for savanna vegetation structure mapping is hindered by sparse and heterogeneous distribution of vegetation canopy, leading to near-similar spectral signatures among lifeforms. An additional challenge to optical sensors is the high cloud cover and unpredictable weather conditions. Longwave microwave data, with...
Article
This study focuses on the derivation of an urban surface material map to parameterize a 3D numerical microclimate model. For this purpose, fusion of airborne hyperspectral and light detection and ranging (LiDAR) remote sensing data is performed. In a first step, surface materials are extracted from the preprocessed input datasets using a hybrid, th...
Article
Each city exhibits recurring patterns consisting of similar building types, vegetation structures, and open spaces, enabling environmental and socio-economic investigations of the urban fabric. In this study, urban structure types (UST) of the city of Berlin are mapped on the basis of a prior land cover classification utilizing a synergistic approa...
Conference Paper
Remote sensing-assisted estimates of aboveground forest biomass are essential for modeling carbon budget on various scales. For these estimates, multiple factors such as sensor type, statistical prediction method, sampling design for the reference inventory data or the splitting of prediction models into species- strata-specific submodels affect th...
Article
Cities have evolved under manifold geographical, economical, historical, and cultural criteria, resulting in various sizes and shapes. Each city exhibits individual features and unique characteristics, despite that structural similarities appear. The separation into individual patterns, commonly named urban structure types (USTs), supports the char...
Article
Urban structure types (UST) are an initial interest and basic instrument for monitoring, controlling and modeling tasks of urban planners and decision makers during ongoing urbanization processes. This study focuses on a method to classify UST from land cover (LC) objects, which were derived from high resolution satellite images. The topology of ur...
Article
This paper focuses on the description and demonstration of a simple, but effective object-based image analysis (OBIA) approach to extract urban land cover information from high spatial resolution (HSR) multi-spectral and light detection and ranging (LiDAR) data. Particular emphasis is put on the evaluation of the proposed method with regard to its...
Article
Ongoing urbanization processes have increased the demand for monitoring, controlling, and modeling services, with urban structure types as an initial interest. While urban land cover (LC) can be derived directly from high-resolution satellite images, urban land use (LU) is achieved through analyzing a combination of structural, functional, spatial,...
Article
Full-text available
This study presents a method for the reconstruction of pixels contaminated by optical thick clouds in multi-spectral Landsat images using multi-frequency SAR data. A number of reconstruction techniques have already been proposed in the scientific literature. However, all of the existing techniques have certain limitations. In order to overcome thes...
Article
Full-text available
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal image fusion. Three different types of data sets, including spaceborne multi-spectral, spaceborne synt...
Article
Mapping of Landscape Protection Areas with regard to user requirements for detailed land cover and biotope classes has been limited by the spatial and temporal resolution of Earth observation data. The synergistic use of new generation optical and SAR data may overcome these limitations. The presented work is part of the ENVILAND-2 project, which f...
Article
Full-text available
Due to the dynamic character of urban land use (e.g. urban sprawl) there is a demand for frequent updates for monitoring, modeling, and controlling purposes. Urban land use is an added value that can be indirectly derived with the help of various properties of land cover classes that describe a certain area and create a distinguishable structure. T...
Article
Mapping of Landscape Protection Areas with regard to user requirements for detailed land cover and biotope classes has been limited by the spatial and temporal resolution of Earth observation data. With the new spatial high resolution RapidEye data providing an additional channel in the red-edge region potentially new possibilities for vegetation m...
Article
Full-text available
The present work is part of the Enviland-2 research project, which investigates the synergism between radar- and optical satellite data for ENVIronment and LAND use applications. The urban work package of Enviland aims at the combined analysis of RapidEye and TerraSAR-X data for the parameterization of different urban land use structures. This stud...
Conference Paper
Full-text available
This work presents a multi-sensor data analysis concept for the parameterisation of urban landuse in comparison to ATKIS DLM reference objects (digital landscape model). An object based top-down approach is implemented and the potential of multisensor data for a primary urban landcover object classification is assessed. Urban landuse structure is d...
Article
Full-text available
In the framework of the UNFCCC discussions on Reducing Emissions from Deforestation and Degradation in Developing Countries (REDD) the development of appropriate methods for measuring changes in forest carbon stocks at the national level with an acceptable degree of certainty is one major requirement. We present a case study for estimating forest a...
Conference Paper
Full-text available
Urbanization is arguably the most dramatic form of highly irreversible land transformation. While urbanization is a worldwide phenomenon, it is exceptionally dynamic in India, where unprecedented urban growth rates have occurred over the last 30 years. In this uncontrolled explosive situation city planning lacks of data and information to measure,...

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Cited By

Projects

Projects (7)
Project
COKAP is a joint project between the Thuringian State Institute for Environment and Geology (TLUG), the Institute for Climate and Energy Strategies (INKEK) as well as the Friedrich-Schiller-University Jena (FSU). It aims at building an improved climate and urban heat island monitoring system for the Federal State of Thuringia, Germany. To this end, methods to process and analyse Copernicus (e.g., Sentinel-3) and other remote sensing/ geospatial data (e.g., VHR imagery and 3D point clouds) are developed and applied. COKAP is funded by the German Aerospace Centre (DLR-PT) and the German Federal Ministry of Transport and Digital Infrastructure (BMVI) under grant number 50EW1707. German project title: "Verwendung von Copernicus- und weiteren Satellitendaten für Klimabewertungen in Regional- und Stadtplanungen Thüringens".
Project
EMSAfrica focuses on the combined impacts and ecosystem feedbacks of climate change and human land management in Southern Africa. Our approach combines different scientific disciplines and multi-scale measurements from single plants to ecosystems. Our network of research clusters along an aridity gradient represents various degrees of land-use intensity. Our ultimate aim is to integrate scientific information into combined and upscalable models, that are relevant to land-use management.
Project
The surface urban heat island (SUHI), representing the difference of land surface temperature (LST) in urban relative to neighboring non-urban surfaces, is usually measured using satellite LST data. Over the last few decades, advancements of remote sensing along with spatial science have considerably increased the number and quality of SUHI studies that form the major body of the urban heat island (UHI) literature. This project, performed by Decheng Zhou, Jingfeng Xiao, Stefania Bonafoni, Christian Berger, Kaveh Deilami, Yuyu Zhou, Steve Frolking, Rui Yao, Zhi Qiao and José A. Sobrino9 provides a systematic review of satellite-based SUHI studies, from their origin in 1972 to the present.