Michael Förster

Michael Förster
Technische Universität Berlin | TUB · Institut für Landschaftsarchitektur und Umweltplanung

Dr.-Ing.

About

135
Publications
34,438
Reads
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2,709
Citations
Citations since 2017
31 Research Items
1857 Citations
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20172018201920202021202220230100200300
20172018201920202021202220230100200300
Education
October 2003 - December 2008
Technische Universität Berlin
Field of study
  • Landscape Planning
October 1996 - January 2003
Universität Potsdam
Field of study
  • Geo-ecology

Publications

Publications (135)
Article
Full-text available
The monitoring of soil moisture content (SMC) at very high spatial resolution (<10 m) using unmanned aerial systems (UAS) is of high interest for precision agriculture and the validation of large scale SMC products. Data-driven approaches are the most common method to retrieve SMC with UAS-borne data at water limited sites over non-disturbed agricu...
Article
Full-text available
Deriving soil moisture content (SMC) at the regional scale with different spatial and temporal land cover changes is still a challenge for active and passive remote sensing systems, often coped with machine learning methods. So far, the reference measurements of the data-driven approaches are usually based on point data, which entails a scale gap t...
Article
Full-text available
Evapotranspiration (ET) is a fundamental variable for assessing water balance and the urban heat island (UHI) effect. Terrestrial ET is deeply dependent on the land cover as it derives mainly from soil evaporation and plant transpiration. The majority of well-known process-based models based on the Penman–Monteith equation focus on the atmospheric...
Article
Full-text available
Calibrating land surface phenology (LSP) with tree rings is important to model spatio-temporal variations in forest productivity. We used MODIS (resolution: 250 m) NDVI, WDRVI and EVI series 2000-2014 to derive LSP metrics quantifying phenophase timing and canopy photosynthetic rates of 26 European beech forests covering a large thermal gradient (5...
Preprint
Full-text available
Airborne and spaceborne platforms are the primary data sources for large-scale forest mapping, but visual interpretation for individual species determination is labour-intensive. Hence, various studies focusing on forests have investigated the benefits of multiple sensors for automated tree species classification. However, transferable deep learnin...
Article
Full-text available
Quantum yield of fluorescence (φF) is key to interpret remote measurements of sun-induced fluorescence (SIF), and whether the SIF signal is governed by photochemical quenching (PQ) or non-photochemical quenching (NPQ). Disentangling PQ from NPQ allows using SIF estimates in various applications in aquatic optics. However, obtaining φF is challengin...
Conference Paper
Sentinel-2 time series are increasingly used in forest mapping and monitoring. However, previous studies have dealt with a limited number of tree-species classes and rarely included Sentinel-1 synthetic aperture radar (SAR) data. We compared the temporal fingerprints of sixteen forest stand types in Northern Germany for the Sentinel-1 Radar Vegetat...
Article
Full-text available
As impervious surfaces have seized most areas in cities worldwide, urban heat island (UHI) has become a global concern. Urban green infrastructures (UGI) are crucial to providing microclimate regulation and thermal comfort through evapotranspiration (ET) and shading. High-spatiotemporal-resolution ET maps are required to plan and manage UGI to miti...
Preprint
Full-text available
Evapotranspiration (ET) is a fundamental variable for assessing water balance and the urban heat island (UHI) effect. Terrestrial ET is deeply dependent on the land cover as it derives mainly from soil evaporation and plant transpiration. The majority of well-known process-based models based on the Penman–Monteith equation focus on the atmospheric...
Poster
Full-text available
We presented first outcomes of our work for the project TreeSatAI funded by the Bundesministerium für Bildung und Forschung (BMBF) at the AGU Fall Meeting 2021 You find the iPoster at this link: agu2021fallmeeting-agu.ipostersessions.com/Default.aspx?s=9D-9C-4E-79-8B-6A-A7-47-5D-91-41-44-19-29-EA-19
Article
Full-text available
Mapping the occurrence patterns of invasive plant species and understanding their invasion dynamics is a crucial requirement for preventing further spread to so far unaffected regions. An established approach to map invasive species across large areas is based on the combination of satellite or aerial remote sensing data with ground truth data from...
Article
In the light of unprecedented change in global biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential. Nevertheless, estimation of biodiversity using ecological field data can be difficult for several reasons. For instance, for very large areas, it is challenging to collect data that provide...
Preprint
Full-text available
In the light of unprecedented change in global biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential. Nevertheless, estimation of biodiversity using ecological field data can be difficult for several reasons. For instance, for very large areas, it is challenging to collect data that provide...
Article
Full-text available
Monitoring soil moisture is still a challenge: it varies strongly in space and time and at various scales while conventional sensors typically suffer from small spatial support. With a sensor footprint up to several hectares, cosmic-ray neutron sensing (CRNS) is a modern technology to address that challenge. So far, the CRNS method has typically be...
Article
Full-text available
Thermal infrared measurements acquired with unmanned aerial systems (UAS) allow for high spatial resolution and flexibility in the time of image acquisition to assess ground surface temperature. Nevertheless, thermal infrared cameras mounted on UAS suffer from low radiometric accuracy as well as low image resolution and contrast hampering image ali...
Preprint
Full-text available
Abstract. Monitoring soil moisture is still a challenge: it varies strongly in space and time and at various scales while well established sensors typically suffer from a small spatial support. With a sensor footprint up to several hectares, Cosmic-Ray Neutron Sensing (CRNS) is an emerging technology to address that challenge. So far, the CRNS me...
Article
Mapping heathland habitats is generally challenging due to fine-scale habitats as well as spectral ambiguities between different classes. A multi-seasonal time-series of multispectral RapidEye data from several phenological stages was analysed towards the classification of different vegetation communities. A 3-level hierarchical dependent classific...
Article
Precise and region-wide information about soil moisture with a high spatial resolution is required for river flood plains to fulfil statutory provisions from the EU Water Framework Directive. Influenced by constraints like precipitation and vegetation cover, this complex parameter is often measured point-by-point. Continuous soil moisture products der...
Article
Soil moisture (SM) is a significant parameter influencing various environmental processes in hydrology, ecology, and climatology. SAR-derived remote sensing products can be valuable input features for estimating SM. In the past, the results often lacked a sufficient spatial resolution for a local application. With the new Sentinel-1 sensor it seems...
Article
This Special Issue of Photogrammetry, Remote Sensing and Geoinformation Science (PFG) focuses on recent advances in various applications of remote sensing mainly in the development of sustainable agriculture in the Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN). DEMMIN is a permanent Calibration/Validation (Cal/Val)...
Article
Full-text available
Habitat quality assessments often demand wall-to-wall information about the state of vegetation. Remote sensing can provide this information by capturing optical and structural attributes of plant communities. Although active and passive remote sensing approaches are considered as complementary techniques, they have been rarely combined for conserv...
Article
Remote sensing can be a valuable tool for supporting nature conservation monitoring systems. However, for many areas of conservation interest, there is still a considerable gap between field-based operational monitoring guidelines and the current remote sensing-based approaches. This hampers application in practice of the latter. Here, we propose a...
Article
Abstract Monitoring of soils used for agriculture at frequent intervals is crucial to support decision making and refining soil policies especially in the context of climate change. Along with rainfall erosivity, soil coverage by vegetation or crop residues is the most dynamic factor affecting soil erosion. Parcel-specific soil coverage information...
Article
The study introduces a new approach for the characterization of floristic gradients by hyperspectral features in a partial least squares regression (PLSR) framework. As ecological factors influence the composition of vegetation, our study is aimed to reveal related effects on spectral signatures. For this purpose, the variation of plant species in...
Article
Full-text available
Forest biochemical and biophysical variables and their spatial and temporal distribution are essential inputs to process-orientated ecosystem models. To provide this information, imaging spectroscopy appears to be a promising tool. In this context, the present study investigates the potential of spectral unmixing to derive sub-pixel crown component...
Chapter
Summary A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and...
Article
Semantic heterogeneity remains a barrier to data comparability and standardisation of results in different fields of spatial research. Because of its thematic complexity, differing acquisition methods and national nomenclatures, interoperability of biodiversity monitoring information is especially difficult. Since data collection methods and interp...
Conference Paper
Full-text available
Soil erosion on agricultural land is a phenomenon with large economical and environmental consequences for both farmers and landscape. The large-scale identification of erosion hotspots as well as the simulation of protection measures require up-to-date information about vegetation coverage which can be provided by the analysis of high resolution r...
Conference Paper
Data fusion is currently one of the most frequently implemented approaches for dealing with inconsistent timesseries. However, approaches to fuse multi-temporal satellite data with higher spatial resolution for the analysis of smaller landcover classes are still missing. Therefore, in this study the ESTARFM algorithm was used to fuse high spatial r...
Conference Paper
The presented work is evaluating the temporal stability of STARFM generated time-series in an intensively agriculturally used area in Central Germany. 10 Landsat 5 or 7 scenes from 2011 used to generate a daily synthetically timeseries, based on the MODIS terra product (500 m). Similarly, 13 RapidEye scenes were acquired. The synthetic Landsat prod...
Article
Ontology-based applications hold promise in improving spatial data interoperability. In this work we use remote sensing-based biodiversity information and apply semantic formalisation and ontological inference to show improvements in data interoperability/comparability. The proposed methodology includes an observation-based, "bottom-up" engineering...
Article
Full-text available
Safeguarding the diversity of natural and semi-natural habitats in Europe is one of the aims set out by the Habitats Directive (Council Directive 92/43/EEC on the conservation of natural habitats and of wild fauna and flora) and one of the targets of the European 2020 Biodiversity Strategy, and is to be accomplished by maintaining a favourable cons...
Article
Full-text available
Understanding the causes and effects of species invasions is a priority in ecology and conservation biology. One of the crucial steps in evaluating the impact of invasive species is to map changes in their actual and potential distribution and relative abundance across a wide region over an appropriate time span. While direct and indirect remote se...
Article
Substantive and concerted action is needed to mitigate climate change. However, international negotiations struggle to adopt ambitious legislation and to anticipate more climate-friendly developments. Thus, stronger actions are needed from other players. Cities, being greenhouse gas emission centers, play a key role in promoting the climate change...
Article
Full-text available
Remote sensing concepts are needed to monitor open landscape habitats for environmental change and biodiversity loss. However, existing operational approaches are limited to the monitoring of European dry heaths only. They need to be extended to further habitats. Thus far, reported studies lack the exploitation of intra-annual time series of high s...
Article
Context Integrative mitigation and adaptation strategies are needed to counter climate change. Indicators can be valuable that focus on the specific relevance of cities’ socioeconomic and spatial properties. While previous analyses have identified socioeconomic influences on urban greenhouse gas emissions, information about the role of spatial urba...
Chapter
Full-text available
Remote sensing has been established as a valuable support to field mapping and monitoring of vegetation compositions, habitats, and single species. However, the time-span of data acquisition, especially of advanced very high spatial and temporal resolution sensors, is not long enough for the monitoring of climate-induced impacts on habitats. Within...
Conference Paper
With the introduction of LANDSAT 8 and the future Sentinel missions as well as several other national satellite programs, the analysis of multi-temporal remote sensing data will be of main importance for detecting and analyzing different landcover classes. The utilization of MODIS/MERIS data within the last decade led to the development of a variet...
Conference Paper
The problem of feature selection is a significant one in classification problems, where the addition of too many features to the classification fails to lead to significant increases in classification accuracy. This problem is especially significant within the context of multitemporal remote sensing classifications, where the costs and efforts asso...
Article
The implementation of adaptation actions in local conservation management is a new and complex task with multiple facets, influenced by factors differing from site to site. A transdisciplinary perspective is therefore required to identify and implement effective solutions. To address this, the International Conference on Managing Protected Areas un...
Article
Full-text available
The loss of species and habitats is one of the major threats for biodiversity. Current drivers are anthropogenic factors such as the intensification of agriculture, urbanization, and infrastructure development. However, climate change adds to the mix and reinforces the negative effects on biodiversity. It alters abiotic habitat conditions, such as...
Article
The amount of images used in multitemporal classification studies has greatly increased along with enhanced temporal sensor capacities. Handling large intra-annual time series leads to the question of how the selection of image acquisition dates could be optimized. In this study, an empirical approach for evaluating the relative classification powe...
Article
Full-text available
Among the machine learning tools being used in recent years for environmental applications such as forestry, self-organizing maps (SOM) and the k-nearest neighbor (kNN) algorithm have been used successfully. We applied both methods for the mapping of organic carbon (Corg) in riparian forests due to their considerably high carbon storage capacity. D...
Article
Full-text available
Tree species information is a basic variable for forest inventories. Knowledge on tree species is relevant for biomass estimation, habitat quality assessment, and biodiversity characterization. Hyperspectral data have been proven to have a high potential for the mapping of tree species composition. However, open questions remain concerning the robu...
Conference Paper
Full-text available
In various fields of spatial research, semantic heterogeneity remains an unsolved problem in terms of data comparability. Interoperability of biodiversity monitoring information is especially difficult because of its thematic complexity and the high variability of acquisition methods and national differences in nomenclatures. Each EU member state m...
Article
Ancillary geodata can supply information to enhance classification accuracy for a variety of remote-sensing applications. To understand the integration of different data into a knowledge-based multisource classification process, this paper evaluates the significance of geodata for the classification accuracy of a very high spatial resolution satell...
Article
Full-text available
To estimate or classify remote sensing-based forest parameters such as tree type or Leaf Area Index (LAI) detailed information about the tree crown components can be helpful. Such components include different types of leaves, branches, lichen, understory vegetation as well as shadowed areas. In order to evaluate the relation of the spectral signal...
Article
Full-text available
Ecological restoration of degraded riparian Tugai forests in north‐western China is a key driver to combat desertification in this region. Recent governmental restoration efforts attempt to recover the forest along with its most dominant tree species, Populus euphratica. One of the aims of long term forest restoration monitoring is, to assess the r...
Conference Paper
Full-text available
Biodiversität ist ein komplexer Begriff mit mehreren Hierarchieebenen, der unter un-terschiedlichen Aspekten aufgefasst und analysiert werden kann. Mit Fernerkundung können in der Regel nur Indikatoren für ein Biodiversitätsmonitoring abgebildet bzw. abgeleitet werden. Nachdem in der letzten Dekade räumlich sehr hoch auflösende Satellitendaten im F...
Article
The leaf area index (LAI), as a key indicator of physical and biological processes related to vegetation dynamics, is valuable in monitoring the biomass of forests. Based on the phenological development of trees, the LAI shows high seasonal variability. This study estimated the LAI through field measurements and satellite-derived spectral vegetatio...
Chapter
Full-text available
Climate change impacts biota from individual level to whole habitats. Changing regional climate conditions let individuals be more prone to catastrophic disturbances (e.g. disease, insects, or fires). Climate change exposures and the sensitivity of species and habitats against these exposures can be used to assess the potential impacts on habitats....
Conference Paper
The recognition and monitoring of vegetation and habitats for nature conservation is a vital point of research within the remote sensing community. It has been agreed on that there is no general solution on deriving information on habitats due to different data availability and spectral as well as textural behaviour of habitat main types (e.g. wood...
Article
Full-text available
The exploitation of X-band imagery is currently being used in the field of agriculture for the discrimination of crop types and is also recently addressed for challenging tasks such as surface roughness and soil moisture retrieval. We investigated the poten-tial of multi-temporal COSMO-SkyMed data for the monitoring of Natura 2000 habitats in alpin...
Article
Full-text available
A growing body of literature discusses the CO2 emissions of cities. Still, little is known about emission patterns across density gradients from remote rural places to highly urbanized areas, the drivers behind those emission patterns and the global emissions triggered by consumption in human settlements—referred to here as the carbon footprint. In...
Article
Floodplain ecosystems offer valuable carbon sequestration potential. In comparison to other terrestrial ecosystems, riparian forests have a considerably higher storage capacity for organic carbon (Corg). However, a scientific foundation for the creation of large-scale maps that show the spatial distribution of Corg is still lacking. In this paper w...