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Prof. Dr. Patrick Hostert

Mathematisch-Naturwissenschaftliche Fakultät · Dekanat

Projekte

Kooperationen

Themen

Bildverarbeitung Biodiversitätsschutz Deep Learning Fernerkundung Klimawandel Künstliche Intelligenz Landnutzung Nachhaltige Landwirtschaft Spektroskopie Waldökologie Zeitreihenanalyse

Zusammenfassung

Prof. Hostert erforscht derzeit die großflächige Kartierung und Überwachung von Landnutzungsveränderungen mittels Satellitenfernerkundung und künstlicher Intelligenz. Seine aktuelle Arbeit konzentriert sich auf die Erfassung von Ackerfeldern, Grünland und Waldveränderungen in Afrika und Europa — etwa die Abgrenzung von 17 Millionen Einzelfeldern in Mosambik oder die Verfolgung von Waldsterblichkeit in Deutschland. Für Unternehmen und Behörden liefert er Methoden zur präzisen, kosteneffizienten Überwachung von Landnutzung, Biodiversität und Kohlenstoffspeicherung im Landschaftsmaßstab. Seine Verfahren nutzen hochauflösende Satellitendaten, spektrale Unmixing-Techniken und Deep-Learning-Modelle, um operativ verwertbare Informationen für Agrar-, Forst- und Umweltpolitik bereitzustellen. Branchen wie Landwirtschaft, Naturschutz, Raumplanung und Klimamonitoring profitieren von automatisierten, skalierbaren Lösungen zur Erfassung von Feldgrenzen, Vegetationsbedeckung und Landschaftsveränderungen.

Matches

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Stammdaten

Identität, Organisation und Kontakt aus HU-FIS.

Prof. Dr. Patrick Hostert

HU-FIS-Profil ↗

Fakultät: Mathematisch-Naturwissenschaftliche Fakultät
Institut: Dekanat
ORCID: 0000-0002-5730-5484
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Telefon: 🔒 nur für eingeloggte sichtbarAnmelden

Anwendungs-Kooperationen

9Bestätigte Praxis-Partner aus HU-FIS.

Center for International Forestry Research

Deutscher Wetterdienst (DWD)

FarmFacts GmbH

Grünlandzentrum Niedersachsen/BremenHorizont group GmbH

Texas Trading GmbH

Universidade Eduardo Mondlane

VISTA Geowissenschaftliche Fernerkundung GmbH

WWF-Indonesia

Center for International Forestry Research
I-REDD+ - Impacts of Reducing Emissions from Deforestation and Forest Degradation and Enhancing Carbon Stocks
other
Deutscher Wetterdienst (DWD)
Satellitengestützte Information zur Grünlandbewirtschaftung
other
FarmFacts GmbH
Satellitengestützte Information zur Grünlandbewirtschaftung
company

Forschungskooperationen

27Wissenschaftliche Partner — zum Ausklappen.

Brandenburgische Technische Universität Cottbus-Senftenberg
GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im Landschaftsmaßstab
university
Freie Universität Berlin
Nutzung von Sentinel Daten zu Kohlenwasserstoffquantifizierung und REDD+ Monitoring
university
Georg-August-Universität Göttingen
GreenGrass 2: Innovative Nutzung des Grünlands für eine nachhaltige Intensivierung der Landwirtschaft im Landschaftsmaßstab
university

Forschungsprojekte

Städtisches Umweltmonitoring mit spektral und geometrisch hoch auflösenden Fernerkundungsdaten (I)
Quelle ↗
Förderer: DFG Sachbeihilfe Zeitraum: 02/2004 - 06/2007 Projektleitung: Prof. Dr. Patrick Hostert
A Surveillance System for Assessing and Monitoring of Desertification
Quelle ↗
Zeitraum: 03/2005 - 10/2010 Projektleitung: Prof. Dr. Patrick Hostert
Megastädte: Informelle Dynamik des Globalen Wandels
Quelle ↗
Förderer: DFG Sachbeihilfe Zeitraum: 11/2006 - 03/2009 Projektleitung: Prof. Dr. Patrick Hostert

Publikationen

25Auswahl der wichtigsten Publikationen — Quelle: OpenAlex.

Landsat-8: Science and product vision for terrestrial global change research
2014
Remote Sensing of Environment · DOI
Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared. Landsat 8 extends the remarkable 40 year Landsat record and has enhanced capabilities including new spectral bands in the blue and cirrus cloud-detection portion of the spectrum, two thermal bands, improved sensor signal-to-noise performance and associated improvements in radiometric resolution, and an improved duty cycle that allows collection of a significantly greater number of images per day. This paper introduces the current (2012–2017) Landsat Science Team's efforts to establish an initial understanding of Landsat 8 capabilities and the steps ahead in support of priorities identified by the team. Preliminary evaluation of Landsat 8 capabilities and identification of new science and applications opportunities are described with respect to calibration and radiometric characterization; surface reflectance; surface albedo; surface temperature, evapotranspiration and drought; agriculture; land cover, condition, disturbance and change; fresh and coastal water; and snow and ice. Insights into the development of derived ‘higher-level’ Landsat products are provided in recognition of the growing need for consistently processed, moderate spatial resolution, large area, long-term terrestrial data records for resource management and for climate and global change studies. The paper concludes with future prospects, emphasizing the opportunities for land imaging constellations by combining Landsat data with data collected from other international sensing systems, and consideration of successor Landsat mission requirements.
Current status of Landsat program, science, and applications
2019

Formal planning and development of what became the first Landsat satellite commenced over 50 years ago in 1967. Now, having collected earth observation data for well over four decades since the 1972 launch of Landsat-1, the Landsat program is increasingly complex and vibrant. Critical programmatic elements are ensuring the continuity of high quality measurements for scientific and operational investigations, including ground systems, acquisition planning, data archiving and management, and provision of analysis ready data products. Free and open access to archival and new imagery has resulted in a myriad of innovative applications and novel scientific insights. The planning of future compatible satellites in the Landsat series, which maintain continuity while incorporating technological advancements, has resulted in an increased operational use of Landsat data. Governments and international agencies, among others, can now build an expectation of Landsat data into a given operational data stream. International programs and conventions (e.g., deforestation monitoring, climate change mitigation) are empowered by access to systematically collected and calibrated data with expected future continuity further contributing to the existing multi-decadal record. The increased breadth and depth of Landsat science and applications have accelerated following the launch of Landsat-8, with significant improvements in data quality. Herein, we describe the programmatic developments and institutional context for the Landsat program and the unique ability of Landsat to meet the needs of national and international programs. We then present the key trends in Landsat science that underpin many of the recent scientific and application developments and follow-up with more detailed thematically organized summaries. The historical context offered by archival imagery combined with new imagery allows for the development of time series algorithms that can produce information on trends and dynamics. Landsat-8 has figured prominently in these recent developments, as has the improved understanding and calibration of historical data. Following the communication of the state of Landsat science, an outlook for future launches and envisioned programmatic developments are presented. Increased linkages between satellite programs are also made possible through an expectation of future mission continuity, such as developing a virtual constellation with Sentinel-2. Successful science and applications developments create a positive feedback loop—justifying and encouraging current and future programmatic support for Landsat.

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation

2015

Remote Sensing · DOI

Imaging spectroscopy, also known as hyperspectral remote sensing, is based on the characterization of Earth surface materials and processes through spectrally-resolved measurements of the light interacting with matter. The potential of imaging spectroscopy for Earth remote sensing has been demonstrated since the 1980s. However, most of the developments and applications in imaging spectroscopy have largely relied on airborne spectrometers, as the amount and quality of space-based imaging spectroscopy data remain relatively low to date. The upcoming Environmental Mapping and Analysis Program (EnMAP) German imaging spectroscopy mission is intended to fill this gap. An overview of the main characteristics and current status of the mission is provided in this contribution. The core payload of EnMAP consists of a dual-spectrometer instrument measuring in the optical spectral range between 420 and 2450 nm with a spectral sampling distance varying between 5 and 12 nm and a reference signal-to-noise ratio of 400:1 in the visible and near-infrared and 180:1 in the shortwave-infrared parts of the spectrum. EnMAP images will cover a 30 km-wide area in the across-track direction with a ground sampling distance of 30 m. An across-track tilted observation capability will enable a target revisit time of up to four days at the Equator and better at high latitudes. EnMAP will contribute to the development and exploitation of spaceborne imaging spectroscopy applications by making high-quality data freely available to scientific users worldwide.