550 Geowissenschaften
Refine
Has Fulltext
- yes (174)
Is part of the Bibliography
- yes (174)
Year of publication
Document Type
- Journal article (93)
- Doctoral Thesis (64)
- Conference Proceeding (9)
- Master Thesis (5)
- Book article / Book chapter (2)
- Report (1)
Language
- English (174) (remove)
Keywords
- remote sensing (21)
- Fernerkundung (15)
- Namibia (10)
- MODIS (9)
- Klimaänderung (8)
- climate change (8)
- time series (7)
- Geochemie (6)
- Modellierung (6)
- Geomorphologie (5)
- Hydrogeologie (5)
- Namibia <Nordwest> (5)
- Sentinel-1 (5)
- earth observation (5)
- forest (5)
- review (5)
- Earth Observation (4)
- Geographie (4)
- Karoo (4)
- South Africa (4)
- Stratigraphie (4)
- Zeitreihe (4)
- drought (4)
- machine learning (4)
- permafrost (4)
- Dauerfrostboden (3)
- Earth observation (3)
- Geologie (3)
- Grundwasser (3)
- Klima (3)
- Landsat (3)
- Niger (3)
- Permafrost (3)
- Remote Sensing (3)
- Sedimentologie (3)
- Sentinel-2 (3)
- Tuff (3)
- West Africa (3)
- Westafrika (3)
- deep learning (3)
- dynamics (3)
- glaciers (3)
- land cover (3)
- AVHRR (2)
- Alps (2)
- Antarctic ice sheet (2)
- Antarctica (2)
- Arctic (2)
- Datenfusion (2)
- Deutschland (2)
- Diamiktit (2)
- Digital Elevation Model (2)
- Dwyka (2)
- Düne (2)
- Engadin (2)
- Erdbeobachtung (2)
- Ernteertrag (2)
- Fossil (2)
- Geoinformationssystem (2)
- Geophysics (2)
- Geophysik (2)
- Germany (2)
- Gesteinsbildung (2)
- Gletscher (2)
- Gletscherschwankung (2)
- Golf von Akaba (2)
- Gondwana (2)
- Google Earth Engine (2)
- Granulit (2)
- Grundwasserneubildung (2)
- Holocene (2)
- Holozän (2)
- InSAR (2)
- Iran (2)
- Jura <Geologie> (2)
- Kalahari (2)
- Karbon (2)
- Kilombero (2)
- Klimawandel (2)
- Landwirtschaft (2)
- Landwirtschaft / Nachhaltigkeit (2)
- Mapping (2)
- Metamorphose <Geologie> (2)
- Mexiko (2)
- Monitorüberwachung (2)
- NDVI (2)
- Optische Fernerkundung (2)
- Oranje (2)
- Palökologie (2)
- Permokarbon (2)
- PolSAR (2)
- Quartär (2)
- Radarfernerkundung (2)
- RapidEye (2)
- River Basins (2)
- SAR (2)
- Sand (2)
- Satellit (2)
- Satellitenfernerkundung (2)
- Schnee (2)
- Schwermineral (2)
- TanDEM-X (2)
- Taxonomie (2)
- Tillit (2)
- Tonstein (2)
- UAV (2)
- Vereisung (2)
- Wasserhaushalt (2)
- Winterweizen (2)
- Zypern (2)
- agriculture (2)
- biodiversity (2)
- burn severity (2)
- change detection (2)
- forecast (2)
- forest ecology (2)
- geomorphology (2)
- geophysics (2)
- global change (2)
- groundwater (2)
- hydrogeology (2)
- hydrological modelling (2)
- hydrology (2)
- irrigation (2)
- land use (2)
- modeling (2)
- movement ecology (2)
- object-based classification (2)
- optical remote sensing (2)
- pollution (2)
- probability (2)
- random forest (2)
- satellite data (2)
- supraglacial lakes (2)
- time series analysis (2)
- water (2)
- water balance (2)
- wetland (2)
- 3D (1)
- 3D Laser Scanning (1)
- 3D remote sensing (1)
- 3D-ERT electrical resistivity tomography (1)
- 3‐D electrical resistivity imaging (1)
- ANOVA (1)
- ARIMA (1)
- Abfallbehandlung (1)
- Abfallwirtschaft (1)
- Accurate crop monitoring (1)
- Aeolian Islands (1)
- Aeolische Inseln (1)
- Aggeneys (1)
- Agrarproduktion (1)
- Akaba (1)
- Alpen (1)
- Altproterozoikum (1)
- Amphibolit (1)
- Analysis of Variance (1)
- Anden (1)
- Angola (1)
- Animal Tracking (1)
- Anorthosit (1)
- Antarktis (1)
- Anthropogen (1)
- Aragonien (1)
- Archaikum <Geologie> (1)
- Archean (1)
- Artverbreitungsmodellierung (1)
- Asia (1)
- Auftauschicht (1)
- Ausgrabung (1)
- Australien (1)
- Automated Classification (1)
- Automatische Klassifikation (1)
- Bajocium (1)
- Banks Islands (1)
- Barberton Supergroup (1)
- Bathonium (1)
- Baumwollpflanze (1)
- Bavaria (1)
- Becken <Geologie> (1)
- Benin (1)
- Bentonit (1)
- Beweidung (1)
- Bilma <Region> (1)
- Biodiversität (1)
- Biostratigraphy (1)
- Bivalven (1)
- Bivalves (1)
- Blattflächenindex (1)
- Blue Spot Analysis (1)
- Bodenerosion (1)
- Brasilien (1)
- Brazil (1)
- Breitbandseismologie (1)
- Broken Hill (1)
- Bushveld Complex (1)
- Bushveld Komplex (1)
- CMIP3 (1)
- CMIP5 (1)
- CORDEX Africa (1)
- Cambrian (1)
- Cameroon (1)
- Carboniferous (1)
- Change Vector Analysis (1)
- China (1)
- Chorasan (1)
- Circumpolar (1)
- City Planning in the USA (1)
- Clay (1)
- Climate (1)
- Climate Change (1)
- Climate change (1)
- Contaminants (1)
- Covid‐19 (1)
- Crop Growth Models (1)
- Crop YIelds (1)
- Crop growth models (CGMs) (1)
- Crop yield estimations (1)
- Curitiba (1)
- Curitiba <Region> (1)
- Cuvelai (1)
- Cyprus (1)
- DEM (1)
- DEUQUA (1)
- DInSAR (1)
- DSM (1)
- Daedalus-Projekt (1)
- Data Fusion (1)
- Deep learning (1)
- Degradation (1)
- Desertification (1)
- Diffusion (1)
- Diskordanz (1)
- District of Sudbury (1)
- Dongting Lake (1)
- Dreidimensionale Rekonstruktion (1)
- Drylands (1)
- Dwyka Group (1)
- Dwyka Gruppe (1)
- Dünen (1)
- ERT (1)
- ERT electrical resistivity tomography (1)
- Einzelhandel (1)
- Einzugsgebiet (1)
- El Niño (1)
- Elektrizitätserzeugung (1)
- Elissen-Palm flux (1)
- Energie (1)
- Enhanced Vegetation Index (1)
- Entscheidungsprozess (1)
- Environmnet (1)
- Eolisch (1)
- Ephemeral rivers (1)
- Epupa Complex (1)
- Epupa-Komplex (1)
- Erbendorf (1)
- Erde (1)
- Erneuerbare Ressourcen (1)
- Ernte (1)
- Erosion (1)
- Etendeka (1)
- Etesienklima (1)
- Etoscha (1)
- Etoschapfanne (1)
- Etosha (1)
- Europe (1)
- Extreme flows (1)
- Extremwert (1)
- Extremwetterereignisse (1)
- Eyjafjallajökull 2010 (1)
- FCN (1)
- Fazies (1)
- Feuerökologie (1)
- Fliegenkippen (1)
- Flugsand (1)
- Fluid (1)
- Flusssystem (1)
- Fluviale Sedimentation (1)
- Formmessung (1)
- Fossile Muscheln (1)
- Fractional cover analysis (1)
- Fulgurite (1)
- Fynbos (1)
- GEDI (1)
- GSV (1)
- Gamma-ray (1)
- Gamsberg (1)
- Gebirgspermafrost (1)
- General Circulation Model (1)
- Geochemistry (1)
- Geografie (1)
- Geologische Kartierung (1)
- Geomorphologische Kartierung (1)
- Geomorphology (1)
- Geophysical anomaly (1)
- Geophysikalische Methoden (1)
- Geschichte 1949-2008 (1)
- Geschichte 1986 - 2012 (1)
- Gesteinskunde (1)
- Gesteinsmagnetik (1)
- Ghana (1)
- Glaciation (1)
- Glacier forefield (1)
- Glaziomarines Sediment (1)
- Gletscherrückzug (1)
- Gletschervorfeld (1)
- GlobALS (1)
- Global Change (1)
- Global Ecosystem Dynamics Investigation (1)
- Globaler Wandel (1)
- Gold (1)
- Google Earth Engine (GEE) (1)
- Grabenbruch (1)
- Granitoid (1)
- Granitoiden (1)
- Granulite (1)
- Granulitfazies (1)
- Greater Sudbury (1)
- Greenland ice sheet (1)
- Ground surface temperature (1)
- Ground water (1)
- Groundwater (1)
- Grundwasseranreicherung (1)
- Grundwasserbildung (1)
- Grundwasserhaushalt (1)
- Grundwassermodelle (1)
- Grundwasserströmungsmodell (1)
- Grünland (1)
- Grünlandnutzung (1)
- Handelsgeographie (1)
- Hangstabilitätsmodellierung (1)
- Herodotus (1)
- Himalaya Karakoram (1)
- Hochschulschrift (1)
- Hunsrueck (1)
- Huronian Basin (1)
- HyMap (1)
- Hydrochemie (1)
- Hydrologie (1)
- Höhendaten (1)
- Iberian Range (Spain) (1)
- Ichnologie (1)
- Ichnology (1)
- Imo Bundesstaat (1)
- Imo State - Nigeria (1)
- Impact melts (1)
- Impaktstruktur (1)
- InSAR height (1)
- Indus-Ganges-Brahmaputra-Meghna (1)
- Inventar (1)
- Irai-Becken (1)
- Irai-basin (1)
- Isheru (1)
- Isotope (1)
- Israel (1)
- Jordantal (1)
- Jura (1)
- Jurassic (1)
- Kaapvaal Craton (1)
- Kaapvaal Kraton (1)
- Kalahari <Nordwest> (1)
- Kamerun (1)
- Kamerun <West> (1)
- Karbonatit (1)
- Karoo-Becken (1)
- Karru (1)
- Kartierung (1)
- Kashafrud (1)
- Keltiberischen Ketten (Spanien) (1)
- Keltiberisches Gebirge (1)
- Kerman <Region> (1)
- Klassifikation (1)
- Klassifikations- und Regressionsbaum (1)
- Kleine Eiszeit (1)
- Klimaanalyse (1)
- Klimaschutz (1)
- Klimaschutzkonzept (1)
- Klimaschwankung (1)
- Klimatologie (1)
- Klimavariabilität (1)
- Kluftaquifer (1)
- Kohlenwasserstoffpotential (1)
- Koigab Fan (1)
- Komplexe Flüssigkeit (1)
- Kontinentales Tiefbohrprogramm (1)
- Kopffüßer (1)
- Korallenriff (1)
- Korallenriffen (1)
- Kunduz River Basin (1)
- LST (1)
- La gestion des déchets (1)
- Laborexperiment (1)
- Lake Timagami (1)
- Land Change Modeler (1)
- Land Cover Classification (1)
- Land Cover Mapping (1)
- Land use diversity (1)
- Landkreis (1)
- Landnutzung (1)
- Landsat ETM+ (1)
- Landsat archive (1)
- Landsat time series (1)
- Landscape evolution (1)
- Landschaftsgeschichte (1)
- Landslide susceptibility modeling (1)
- Lantana camara (1)
- Lava (1)
- LiDAR (1)
- Light use efficiency (LUE) model (1)
- Limpopo Belt (1)
- Limpopo-Gürtel (1)
- Little Ice Age (1)
- Luftwelle (1)
- Lunar Caves (1)
- Lunar Exploration (1)
- MODIS time-series (1)
- Maar Vulkane (1)
- Mackenzie-River-Delta (1)
- Magma (1)
- Magmatismus (1)
- Magnetische Anomalie (1)
- Mann-Kendall test (1)
- Mariental <Namibia (1)
- Markov chains (1)
- Massenbewegung <Geomorphologie> (1)
- Massenbilanz (1)
- Maximum Entropy Algorithmus (1)
- Maximum Entropy algorithm (1)
- Mediterranean (1)
- Mediterranean area (1)
- Mediterranean sclerophyll forest (1)
- Meeresmikroseismik (1)
- Mekong (1)
- Mesoproterozoikum (1)
- Mesosaurus (1)
- Messel Grube (1)
- Metamorphism (1)
- Metamorphose (1)
- Mexico (1)
- Mikroklima (1)
- Mikroklimamodellierung (1)
- Mineralogie (1)
- Mineralogy (1)
- Mittelmeerraum (1)
- Modell (1)
- Modelling (1)
- Mond (1)
- Morocco (1)
- Mountain permafrost (1)
- Multivariate Analyse (1)
- Multivariate Time Series (1)
- Muscheln (1)
- Mähen (1)
- NDVI thresholds (1)
- Nachhaltigkeit (1)
- Nama (1)
- Namibia <Nordost> (1)
- Namibia <Süd> (1)
- Namibia <Südwest> (1)
- Nationalparks (1)
- Naturgefahren (1)
- Negev (1)
- Neolithic (1)
- Nichtnewtonsche Flüssigkeit (1)
- Niederschlag (1)
- Niger <Ost> (1)
- Nigeria (1)
- Nile delta (1)
- Nile flow (1)
- Normalised Burn Ratio (NBR) (1)
- Norway (South) (1)
- Norwegen (1)
- Norwegen <Süd> (1)
- Oberkarbon (1)
- Offset Dykes (1)
- Ophiolite (1)
- Ophiolith (1)
- Oshana (1)
- P-T Entwicklung (1)
- P-T pseudosections (1)
- PEST (1)
- PGE (1)
- PGE-Cu-Ni (1)
- Pakistan (1)
- Palaeoecology (1)
- Palaeoproterozoic (1)
- Paläoklima (1)
- Paläontologie (1)
- Paläozoikum (1)
- Pan (1)
- Pan-African (1)
- Panafrikan (1)
- Parametrisierung (1)
- Parana (1)
- Permian (1)
- Petrogenesis (1)
- Petrography (1)
- Petrologie (1)
- Petrology (1)
- Pfanne (1)
- Phasendiagramme (1)
- PlanetScope (1)
- Platingruppenmetalle (1)
- Platinmetalle (1)
- Playa (1)
- Pleistozän (1)
- Pollen (1)
- Precipitation (1)
- Prognose (1)
- Präkambrium (1)
- Pyroklastika (1)
- Pyroklastit (1)
- Quartärgeomorphologie (1)
- Quaternary (1)
- R (1)
- Radiocarbon (1)
- Rampe (1)
- Ramsar Convention on Wetlands (1)
- Random forest (RF) model (1)
- Reaktivierung (1)
- Reaktivierungphase (1)
- Region (1)
- Regression (1)
- Reis (1)
- Relief <Geografie> (1)
- Remote sensing (1)
- Remote sensing (RS) (1)
- Remote sensing of snow (1)
- Rheologie (1)
- Rift (1)
- Rift Evolution (1)
- Riftentwicklung (1)
- Risikoanalyse (1)
- Risikoindex (1)
- Rolling Plains (1)
- Rutschungen (1)
- S- and I-type granitoids (1)
- S-Italien (1)
- S-Italy (1)
- SBAS (1)
- SDG 11.3.1 (1)
- SOC content prediction (1)
- SPOT-6 (1)
- SRT seismic refraction tomography (1)
- SWAT (1)
- SWAT model (1)
- Sahara (1)
- Sand ramps (1)
- Sandbewegung (1)
- Sandrampen (1)
- Satellite Earth Observation (1)
- Satellite Remote Sensing (1)
- Scenario analysis (1)
- Schadstoffe (1)
- Schnecken (1)
- Schneeschmelze (1)
- Schutthalde (1)
- Schwemmfächer (1)
- Schwermetallbelastung (1)
- Schwermetallverschmutzung (1)
- Sebennitic (1)
- Sedimentarchiv (1)
- Sedimentary (1)
- Sedimentation (1)
- Sedimente (1)
- Seismisches Array (1)
- Seismologie (1)
- Seismometer (1)
- Sentine-1 (1)
- Sentinel–1 (1)
- Sequestrierung (1)
- Shale (1)
- Signal Noise (1)
- Silicate (1)
- Silicatschmelze (1)
- Skeleton Coast (1)
- Skelettküste (1)
- Snow Line Elevation (1)
- Snow cover (1)
- Sodalith (1)
- Soil and Water Assessment Tool (SWAT) (1)
- Sorption (1)
- South Atlantic (1)
- Southeast Asia (1)
- Southern Province (1)
- Spatiotemporal fusion (1)
- Species distribution modeling (1)
- Spherical Robot (1)
- Stadtklima (1)
- Stadtplanung (1)
- Standortpolitik (1)
- Stausee (1)
- Strahlungstransport (1)
- Stratigraphy (1)
- Stromboli (1)
- Strömung (1)
- Strömungsmodellierung (1)
- Sub-Saharan Africa (1)
- Sudbury Igneous Complex (1)
- Supraglaziale Seen (1)
- Sustainability (1)
- Sustainable Agriculture (1)
- Swabian Alb (1)
- Syenit (1)
- Synthetic Aperture RADAR (1)
- Synthetic Aperture Radar (1)
- Synthetic RS data (1)
- Synthetische Apertur (1)
- Systematics (1)
- Systematik (1)
- Sápmi (1)
- Süd> (1)
- Südafrika (1)
- Südamerika (1)
- Südatlantik (1)
- Südostasien (1)
- TIMELINE (1)
- Tabas (1)
- Tanzania (1)
- Taxonomy (1)
- Tectonic (1)
- Tektonik (1)
- Teleconnection (1)
- Telekonnektion (1)
- Tell Basta (1)
- Tell Jikan (1)
- Tell Khirbet Salih (1)
- Tephrostratigraphie (1)
- Texas <Nord> (1)
- Tian Shan (1)
- Time Series (1)
- Time Series Analyses (1)
- Tonschiefer (1)
- Tonsteine (1)
- Topografie (1)
- Totes Meer (1)
- Transient layer (1)
- Transvaal Supergroup (1)
- Tremor (1)
- Trilobita (1)
- Trinkwasserverschmutzung (1)
- Trockengebiet (1)
- Trockengebiete (1)
- Troodos (1)
- Tuffe (1)
- U.S.A. (1)
- USA (1)
- Umwelt (1)
- Umweltbewertung (1)
- Umweltgefährdung (1)
- Uncertainty (1)
- Unconformity (1)
- Uniabmond (1)
- Uniabmond succession (1)
- Untergrundtemperaturen (1)
- Unwetter (1)
- Uzbekistan (1)
- Val Bever Val Susauna Brüeltobel (1)
- Varianzanalyse (1)
- Vegetation (1)
- Veracruz (1)
- Vietnam (1)
- Viskosität (1)
- Vohenstrauß (1)
- Vulcano (1)
- Vulkan (1)
- Vulkanisches Beben (1)
- Vulkanologie (1)
- Vulkanostratigraphie (1)
- Vulkanseismologie (1)
- WaSiM-ETH (1)
- Waldbraende (1)
- Waldbrand (1)
- Walfischrücken (1)
- Walvis Basin (1)
- Walvis Becken (1)
- Wasserhaushaltsmodell (1)
- Wasserreserve (1)
- Waste management (1)
- Waterbalance (1)
- West Gondwana (1)
- Westaustralien (1)
- Western Cape (1)
- Western Europe (1)
- Wetter (1)
- Wilson Terrane ; intrusions ; mafic composition ; relative age ; petrographic analysis ; gabbroic composition ; subduction zones (1)
- Winter wheat (1)
- Wirbellose (1)
- Witwatersrand Supergroup (1)
- Wärmekraftwerk (1)
- Zambia (1)
- Zeitreihenanalyse (1)
- Zentralasien (1)
- Zentraliran (1)
- Zugspitze (1)
- accuracy (1)
- adaptation (1)
- aeolian sand transport (1)
- agrarwirtschaftliche Produktion (1)
- agricultural drought (1)
- agricultural mapping (1)
- agricultural production (1)
- agroforestry systems (1)
- air quality (1)
- air wave (1)
- alluvial fan (1)
- alpha diversity (1)
- ancient Egypt (1)
- anorthosite (1)
- anthropogenic (1)
- anthroposphere (1)
- applied geophysics (1)
- aqaba (1)
- aquaculture (1)
- assessment coral reef pollution (1)
- atmospheric circulation (1)
- atmospheric correction (1)
- atmospheric waves (1)
- automatic processing (1)
- base metal deposit (1)
- basin geomorphology (1)
- bayesian (1)
- beech (1)
- bentonite (1)
- beta diversity (1)
- big earth data (1)
- biosphere (1)
- black carbon AOD (1)
- blow out (1)
- boden (1)
- boreholes (1)
- broadband seismology (1)
- burned area (1)
- calc-silicate rocks; fluid behaviour; P-T path; reaction textures; Variscan basement; very high-pressure metamorphism (1)
- canopy height (1)
- carbon sequestration (1)
- carbonatite (1)
- causal networks (1)
- change vector analysis (1)
- chimney effect (1)
- circulation patterns (1)
- circulation type (1)
- circum-Arctic (1)
- city size (1)
- class homogeneity (1)
- climate action plan (1)
- climate change impact (1)
- climate change impacts (1)
- climate extremes (1)
- climate related trends (1)
- climate scenarios (1)
- climate variability (1)
- climatic change (1)
- coal (1)
- coal fire (1)
- coal mining area (1)
- coastal erosion (1)
- coastal zone (1)
- coastline dynamics (1)
- composition (1)
- conservation (1)
- consumptive water use (1)
- convolutional neural network (1)
- convolutional neural networks (1)
- crop statistics (1)
- crop yield (1)
- cryosphere (1)
- culturable command area (1)
- damage assessment disaster (1)
- database (1)
- debris-covered glaciers (1)
- degradation (1)
- desertification (1)
- digitalisation initiative (1)
- disaster (1)
- distributary (1)
- district (1)
- diurnal (1)
- drainage ratio (1)
- drilling (1)
- driving forces (1)
- drought impact (1)
- drought stress indicators (1)
- drylands (1)
- dunes (1)
- dynamic-statistical (1)
- eCognition (1)
- earthquake (1)
- ecosystem health (1)
- electrical resistivity tomography (1)
- emissivity (1)
- endorheisch (1)
- energy (1)
- entrainment (1)
- environment (1)
- environment Late Bajocian Late Bathonian (1)
- environmental justice (1)
- environmental modeling (1)
- environmental sustainability (1)
- eolian (1)
- ephemere Fluss-Systeme (1)
- erneuerbare Wasserressourcen (1)
- error estimation (1)
- eruption rate (1)
- evapotranspiration (1)
- explosive volcanism (1)
- extreme weather event (1)
- e‐commerce (1)
- facies (1)
- farajat (1)
- feature tracking (1)
- fire (1)
- fire ecology (1)
- fire mapping (1)
- fliegende Toilette (1)
- flood (1)
- floodpath lake (1)
- flow modelling (1)
- fluvio-aeolian interaction (1)
- fluvio-äeolische Interaktion (1)
- fly-tipping (1)
- flying toilet (1)
- food production (1)
- food security (1)
- forest disturbances (1)
- forest hydrology (1)
- forest monitoring (1)
- forest resources inventory (1)
- forest structure Germany (1)
- framing (1)
- fulgurites (1)
- function (1)
- galamsey (1)
- gamma diversity (1)
- gamma-ray (1)
- general circulation model (1)
- geoarchaeology (1)
- geochemistry (1)
- geophysical monitoring (1)
- geophysik (1)
- gis (1)
- glaciation (1)
- glacier (1)
- glaciomarine (1)
- glaziomarin (1)
- global (1)
- global urban footprint (1)
- global warming (1)
- granulite facies (1)
- grasland (1)
- grassland (1)
- grazing (1)
- greening (1)
- ground penetrating radar (1)
- ground thermal regime (1)
- groundwater flow model (1)
- groundwater recharge (1)
- ground‐penetrating radar (1)
- grundwasser (1)
- harmonization (1)
- hazard maps (1)
- heat wave (1)
- height data (1)
- historical (1)
- hotspot analysis (1)
- human disturbance (1)
- human pressure (1)
- humus cover organic material (1)
- hydrocarbon potential (1)
- hydrochemistry (1)
- hydrological drought (1)
- hydrological regime (1)
- hydrologische Modellierung (1)
- hyperspectral remote sensing (1)
- hyperspektrale Fernerkundung (1)
- ice sheet dynamics (1)
- ice sheet hydrology (1)
- image (1)
- image artifacts (1)
- impervious surface (1)
- indicator importance assessment (1)
- infrasound (1)
- integration (1)
- intercomparison (1)
- interferometry (1)
- internal structure (1)
- interpolation (1)
- inundation (1)
- inventory (1)
- inverse parameterization (1)
- inversion techniques (1)
- irrigated agriculture (1)
- irrigation pricing (1)
- isotopes (1)
- jet stream (1)
- jets (1)
- jordan (1)
- jordanien (1)
- la durabilité environnementale (1)
- land cover change (1)
- land surface (1)
- land surface temperature (1)
- land surface temperature (LST) (1)
- land use change (1)
- land use/cover pattern (LUCP) (1)
- land-use/land-cover change (1)
- landcover changes (1)
- landsat (1)
- landscape metrics (1)
- landslides (1)
- large-scale climate circulation (1)
- large‐scale atmospheric circulation modes (1)
- lava (1)
- les toilettes volantes (1)
- light use efficiency (1)
- lightning (1)
- linear spectral unmixing (1)
- lineare spektrale Entmischung (1)
- loess plateau (1)
- loss (1)
- low-cost applications (1)
- maar volcanoes (1)
- magnetic susceptibility (1)
- magnetische Suszeptibilität (1)
- management (1)
- mass (1)
- mass balance (1)
- mediterranes Oekosystem (1)
- metamorphic sulfidation (1)
- metamorphism (1)
- meteorological drought (1)
- micro climate modelling (1)
- mineralization (1)
- mining (1)
- model independent (1)
- modelling (1)
- modellunabhängig (1)
- models (1)
- mountains (1)
- multi-sensor (1)
- multi-spectral (1)
- multispectral VNIR (1)
- multitemporal metrics (1)
- multi‐model ensemble (1)
- national parks (1)
- nature conservation (1)
- near-field monitoring (1)
- near-surface geophysics (1)
- networking (1)
- norway (1)
- nu SVR (1)
- object-based image analysis (1)
- ocean microseisms (1)
- oil spill (1)
- open waste burning (1)
- optical diversity (1)
- optimization (1)
- palaeoecology (1)
- palaeontology (1)
- palaeosols (1)
- palaontology (1)
- paleoclimate (1)
- paleoenvironment (1)
- palsa development (1)
- pan (1)
- parameterization (1)
- partial correlation (1)
- passive Kontinentalränder (1)
- passive margins (1)
- peatland (1)
- penetration bias (1)
- performance assessment (1)
- periglacial (1)
- periglacial landform (1)
- periurban (1)
- petrogenesis (1)
- phenology (1)
- pilot-point-approach (1)
- platform economy (1)
- plumes (1)
- polarimetery (1)
- pollen (1)
- ponds (1)
- population change (1)
- post-classification comparison (1)
- precipitation (1)
- prediction (1)
- predictive performance (1)
- preface (1)
- prescribed burning (1)
- protection status (1)
- pulsating explosive eruptions (1)
- pyroclastic deposits (1)
- pyroclastic rocks (1)
- radar (1)
- radiocarbon (1)
- random forest regression (1)
- rank-size distribution (1)
- reactivation (1)
- recharge (1)
- regional climate model (1)
- reliability (1)
- renewable energies (1)
- renewable energy (1)
- renewable water resources (1)
- resource mapping (1)
- resource suitability (1)
- retrogressive thaw slump (1)
- river discharge (1)
- robust change vector analysis (1)
- rock glaciers (1)
- rock magnetism (1)
- sacred lakes (1)
- sand (1)
- sar (1)
- satellite remote sensing (1)
- scenario analysis (1)
- scree slope (1)
- seasonal (1)
- seasonal dynamics (1)
- seasonality (1)
- sedimentary environment (1)
- sedimentology (1)
- sediments (1)
- segmentation (1)
- semantic segmentation (1)
- semi-arid (1)
- sensitivity analysis (1)
- sentinel (1)
- sentinel-2 (1)
- slope bogs (1)
- slums (1)
- snow (1)
- snow cover area (1)
- snow cover duration (1)
- snow hydrology (1)
- snow parameters (1)
- snow variability (1)
- snowmelt runoff model (1)
- sodalite (1)
- soil (1)
- soil matric potential (1)
- source parameters (1)
- southern annular mode (1)
- spatial analysis (1)
- spatial scale (1)
- spatial water balance (1)
- spatiotemporal slump development (1)
- species (1)
- spectral diversity (1)
- spectral variation hypothesis (1)
- sporadic alpine permafrost (1)
- spring flood (1)
- statistica modelling (1)
- statistical downscaling (1)
- statistical modeling (1)
- statistics (1)
- storage volume (1)
- stream flow (1)
- structure (1)
- sub-pixel coastline extraction (1)
- subpixel (1)
- subsidence (1)
- subsurface hydrology (1)
- sulfide inclusions (1)
- surface melt (1)
- surface reflectances (1)
- surface urban heat island (SUHI) (1)
- surface water (1)
- surface water area (1)
- sustainable irrigation system (1)
- sustainable water management (1)
- syenite (1)
- synthetic aperture RADAR (1)
- tasselled cap (1)
- taxonomy (1)
- temperature (1)
- tephrostratigraphy (1)
- thermal infrared (1)
- thunderstorms (1)
- tikhonov regularization (1)
- time-series features (1)
- tragfähiges Wassermanagement (1)
- training sample migration (1)
- transfer learning (1)
- trend analysis (1)
- trends (1)
- tuff (1)
- tuffs (1)
- two‐sided markets (1)
- umwelt (1)
- uncertainties (1)
- uncertainty (1)
- uneven-aged mountainous (1)
- urban agglomeration (1)
- urban climate (1)
- urban environments (1)
- urban morphology (1)
- vDEUQUA2021 (1)
- validation (1)
- value of water (1)
- variability (1)
- vegetation (1)
- vegetation indices (1)
- vegetation restoration (1)
- verschmutzung (1)
- volcano (1)
- volcano seismology (1)
- volcanoes (1)
- volcanology (1)
- volcanostratigraphy (1)
- wasser (1)
- waste sorting (1)
- water dynamics (1)
- water management (1)
- water retention (1)
- water yield (1)
- weights (1)
- wetland mapping (1)
- wide-gap Methode (1)
- wide-gap method (1)
- wind speed (1)
- État d'Imo (1)
- Ökosystem (1)
- Ökosystemgesundheit (1)
- äolischer Sandtransport (1)
Institute
- Institut für Geographie und Geologie (114)
- Institut für Geologie (18)
- Institut für Mineralogie und Kristallstrukturlehre (18)
- Institut für Geographie (16)
- Philosophische Fakultät (Histor., philolog., Kultur- und geograph. Wissensch.) (5)
- Graduate School of Science and Technology (4)
- Institut für Altertumswissenschaften (2)
- Institut für Informatik (2)
- Institut für Paläontologie (1)
- Neuphilologisches Institut - Moderne Fremdsprachen (1)
Sonstige beteiligte Institutionen
- Deutscher Akademischer Austauschdienst (DAAD) (1)
- Deutsches Zentrum für Luft & Raumfahrt (DLR) (1)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR) (1)
- INAF Padova, Italy (1)
- Jacobs University Bremen, Germany (1)
- Lehrstuhl für Fernerkundung der Uni Würzburg, in Kooperation mit dem Deutschen Fernerkundungsdatenzentrum (DFD) des Deutschen Zentrums für Luft- und Raumfahrt (DLR) (1)
- South African National Biodiversity Institute (SANBI) (1)
- University of Padova, Italy (1)
- Université d'Abomey-Calavi, Benin (1)
- VIGEA, Italy (1)
EU-Project number / Contract (GA) number
- 20-3044-2-11 (1)
- 308377 (1)
- 714087 (1)
- 776019 (1)
The seasonal snow cover in the European Alps plays a crucial role in the region's climate, ecology, and economy. It affects the local climate through its high albedo, protects permafrost, provides habitats, and acts as a water reservoir that feeds European rivers. However, these functions are threatened by climate change. Analyzing snow cover dynamics is essential to predict future developments and assess related ecological and economic impacts.
This study explores the potential of long Earth Observation (EO) time series for modeling and predicting the snow line elevation (SLE) in the Alps. Based on approximately 15,000 Landsat satellite images, SLE time series were generated for the years 1985 to 2022. Various univariate forecasting models were evaluated, with the best results achieved by Random Forests, Telescope, and Seasonal ARIMA. A newly developed approach combines the best models into a robust ensemble, achieving an average Nash-Sutcliffe efficiency (NSE) of 0.8 in catchments with strong seasonal signals.
Forecasts for 2030 indicate significant upward shifts in the SLE, particularly in the Western and Southern Alps. Given the variability in results, a multivariate modeling approach using climate variables is recommended to improve prediction accuracy. This study lays the groundwork for future models that could potentially project SLE dynamics through the end of the 21st century under various climate scenarios, which is highly relevant for climate policy in the Alpine region.
The Cambrian is anomalous among geological systems as many reports divide it into three divisions of indeterminate rank. This use of “lower”, “middle”, and “upper” has been a convenient way to subdivide the Cambrian despite agreement it consists of four global series. Traditional divisions of the system into regional series (Lower, Middle, Upper) reflected local biotic developments not interprovincially correlatable with any precision. However, use of “lower”, “middle”, and “upper” is unsatisfactory. These adjectives lack standard definition, evoke the regional series, and are misused. Notably, there is an almost 50 year use of three Cambrian subsystems and a 1997 proposal to divide the Avalonian and global Cambrian into four series and three subsystems. The global series allow proposal of three formal subsystems: a ca. 32.6 Ma Lower Cambrian Subsystem (Terreneuvian and Series 2/proposed Lenaldanian Series), a ca. 9.8 Ma Middle, and a ca. 10 Ma Upper Cambrian Subsystem (=Furongian Series). Designations as “Lower Cambrian Subsystem” or “global Lower Cambrian” distinguish the new units from such earlier units as “Lower Cambrian Series” and substitute for the de facto subsystem terms “lower”, “middle”, and “upper”. Cambrian subsystems are comparable to the Carboniferous’ Lower (Mississippian) and Upper (Pennsylvanian) Subsystems.
This study investigates the projected precipitation changes of the 21st century in the Mediterranean area with a model ensemble of all available CMIP3 and CMIP5 data based on four different scenarios. The large spread of simulated precipitation change signals underlines the need of an evaluation of the individual general circulation models in order to give higher weights to better and lower weights to worse performing models. The models' spread comprises part of the internal climate variability, but is also due to the differing skills of the circulation models. The uncertainty resulting from the latter is the aim of our weighting approach. Each weight is based on the skill to simulate key predictor variables in context of large and medium scale atmospheric circulation patterns within a statistical downscaling framework for the Mediterranean precipitation. Therefore, geopotential heights, sea level pressure, atmospheric layer thickness, horizontal wind components and humidity data at several atmospheric levels are considered. The novelty of this metric consists in avoiding the use of the precipitation data by itself for the weighting process, as state-of-the-art models still have major deficits in simulating precipitation. The application of the weights on the downscaled precipitation changes leads to more reliable and precise change signals in some Mediterranean sub-regions and seasons. The model weights differ between sub-regions and seasons, however, a clear sequence from better to worse models for the representation of precipitation in the Mediterranean area becomes apparent.
A new ranking of the world's largest cities—Do administrative units obscure morphological realities?
(2019)
With 37 million inhabitants, Tokyo is the world's largest city in UN statistics. With this work we call this ranking into question. Usually, global city rankings are based on nationally collected population figures, which rely on administrative units. Sprawling urban growth, however, leads to morphological city extents that may surpass conventional administrative units. In order to detect spatial discrepancies between the physical and the administrative city, we present a methodology for delimiting Morphological Urban Areas (MUAs). We understand MUAs as a territorially contiguous settlement area that can be distinguished from low-density peripheral and rural hinterlands. We design a settlement index composed of three indicators (settlement area, settlement area proportion and density within the settlements) describing a gradient of built-up density from the urban center to the periphery applying a sectoral monocentric city model. We assume that the urban-rural transition can be defined along this gradient. With it, we re-territorialize the conventional administrative units. Our data basis are recent mapping products derived from multi-sensoral Earth observation (EO) data – namely the Global Urban Footprint (GUF) and the GUF Density (GUF-DenS) – providing globally consistent knowledge about settlement locations and densities. For the re-territorialized MUAs we calculate population numbers using WorldPop data. Overall, we cover the 1692 cities with >300,000 inhabitants on our planet. In our results we compare the consistently re-territorialized MUAs and the administrative units as well as their related population figures. We find the MUA in the Pearl River Delta the largest morphologically contiguous urban agglomeration in the world with a calculated population of 42.6 million. Tokyo, in this new list ranked number 2, loses its top position. In rank-size distributions we present the resulting deviations from previous city rankings. Although many MUAs outperform administrative units by area, we find that, contrary to what we assumed, in most cases MUAs are considerably smaller than administrative units. Only in Europe we find MUAs largely outweighing administrative units in extent.
Unprecedented urbanization in particular in countries of the global south result in informal urban development processes, especially in mega cities. With an estimated 1 billion slum dwellers globally, the United Nations have made the fight against poverty the number one sustainable development goal. To provide better infrastructure and thus a better life to slum dwellers, detailed information on the spatial location and size of slums is of crucial importance. In the past, remote sensing has proven to be an extremely valuable and effective tool for mapping slums. The nature of used mapping approaches by machine learning, however, made it necessary to invest a lot of effort in training the models. Recent advances in deep learning allow for transferring trained fully convolutional networks (FCN) from one data set to another. Thus, in our study we aim at analyzing transfer learning capabilities of FCNs to slum mapping in various satellite images. A model trained on very high resolution optical satellite imagery from QuickBird is transferred to Sentinel-2 and TerraSAR-X data. While free-of-charge Sentinel-2 data is widely available, its comparably lower resolution makes slum mapping a challenging task. TerraSAR-X data on the other hand, has a higher resolution and is considered a powerful data source for intra-urban structure analysis. Due to the different image characteristics of SAR compared to optical data, however, transferring the model could not improve the performance of semantic segmentation but we observe very high accuracies for mapped slums in the optical data: QuickBird image obtains 86–88% (positive prediction value and sensitivity) and a significant increase for Sentinel-2 applying transfer learning can be observed (from 38 to 55% and from 79 to 85% for PPV and sensitivity, respectively). Using transfer learning proofs extremely valuable in retrieving information on small-scaled urban structures such as slum patches even in satellite images of decametric resolution.
The production of commodities such as cocoa, rubber, oil palm and cashew, is the main driver of deforestation in West Africa (WA). The practiced production systems correspond to a land managment approach referred to as agroforestry systems (AFS), which consist of managing trees and crops on the same unit of land.Because of the ubiquity of trees, AFS reported as viable solution for climate mitigation; the carbon sequestrated by the trees could be estimated with remote sensing (RS) data and methods and reported as emission reduction efforts. However, the diversity in AFS in relation to their composition, structure and spatial distribution makes it challenging for an accurate monitoring of carbon stocks using RS. Therefore, the aim of this research is to propose a RS-based approach for the estimation of carbon sequestration in AFS across the climatic regions of WA. The main objectives were to (i) provide an accurate classification map of AFS by modelling the spatial distribution of the classification error; (ii) estimate the carbon stock of AFS in the main climatic regions of WA using RS data; (iii) evaluate the dynamic of carbon stocks within AFS across WA. Three regions of interest (ROI) were defined in Cote d'Ivoire and Burkina Faso, one in each climatic region of WA namely the Guineo-Congolian, Guinean and Sudanian, and three field campaigns were carried out for data collection. The collected data consisted of reference points for image classification, biometric tree measurements (diameter, height, species) for biomass estimation. A total of 261 samples were collected in 12 AFS across WA. For the RS data, yearly composite images from Sentinel-1 and -2 (S1 and S2), ALOS-PALSAR and GEDI data were used. A supervised classification using random forest (RF) was implemented and the classification error was assessed using the Shannon entropy generated from the class probabilities. For carbon estimation, different RS data, machine learning algorithms and carbon reference sources were compared for the prediction of the aboveground biomass in AFS. The assessment of the carbon dynamic was carried between 2017 and 2021. An average carbon map was genrated and use as reference for the comparison of annual carbon estimations, using the standard deviation as threshold. As far as the results are concerned, the classification accuracy was higher than 0.9 in all the ROIs, and AFS were mainly represented by rubber (38.9%), cocoa (36.4%), palm (10.8%) in the ROI-1, mango (15.2%) and cashew (13.4%) in ROI-2, shea tree (55.7%) and African locust bean (28.1%) in ROI-3. However, evidence of misclassification was found in cocoa, mango, and shea butter. The assessment of the classification error suggested that the error level was higher in the ROI-3 and ROI-1. The error generated from the entropy was able to reduced the level of misclassification by 63% with 11% of loss of information. Moreover, the approach was able to accuretely detect encroachement in protected areas. On carbon estimation, the highest prediction accuracy (R²>0.8) was obtained for a RF model using the combination of S1 and S2 and AGB derived from field measurements. Predictions from GEDI could only be used as reference in the ROI-1 but resulted in a prediction error was higher in cashew, mango, rubber and cocoa plantations, and the carbon stock level was higher in African locust bean (43.9 t/ha), shea butter (15 t/ha), cashew (13.8 t/ha), mango (12.8 t/ha), cocoa (7.51 t/ha) and rubber (7.33 t/ha). The analysis showed that carbon stock is determined mainly by the diameter (R²=0.45) and height (R²=0.13) of trees. It was found that crop plantations had the lowest biodiversity level, and no significant relationship was found between the considered biodiversity indices and carbon stock levels. The assessment of the spatial distribution of carbon sources and sinks showed that cashew plantations are carbon emitters due to firewood collection, while cocoa plantations showed the highest potential for carbon sequestration. The study revealed that Sentinel data could be used to support a RS-based approach for modelling carbon sequestration in AFS. Entropy could be used to map crop plantations and to monitor encroachment in protected areas. Moreover, field measurements with appropriate allometric models could ensure an accurate estimation of carbon stocks in AFS. Even though AFS in the Sudanian region had the highest carbon stocks level, there is a high potential to increase the carbon level in cocoa plantations by integrating and/or maintaining forest trees.
Despite the widespread application of landslide susceptibility analyses, there is hardly any information about whether or not the occurrence of recent landslide events was correctly predicted by the relevant susceptibility maps. Hence, the objective of this study is to evaluate four landslide susceptibility maps retrospectively in a landslide-prone area of the Swabian Alb (Germany). The predictive performance of each susceptibility map is evaluated based on a landslide event triggered by heavy rainfalls in the year 2013. The retrospective evaluation revealed significant variations in the predictive accuracy of the analyzed studies. Both completely erroneous as well as very precise predictions were observed. These differences are less attributed to the applied statistical method and more to the quality and comprehensiveness of the used input data. Furthermore, a literature review of 50 peer-reviewed articles showed that most landslide susceptibility analyses achieve very high validation scores. 73% of the analyzed studies achieved an area under curve (AUC) value of at least 80%. These high validation scores, however, do not reflect the high uncertainty in statistical susceptibility analysis. Thus, the quality assessment of landslide susceptibility maps should not only comprise an index-based, quantitative validation, but also an additional qualitative plausibility check considering local geomorphological characteristics and local landslide mechanisms. Finally, the proposed retrospective evaluation approach cannot only help to assess the quality of susceptibility maps and demonstrate the reliability of such statistical methods, but also identify issues that will enable the susceptibility maps to be improved in the future.
The Essential Climate Variable (ECV) Permafrost is currently undergoing strong changes due to rising ground and air temperatures. Surface movement, forming characteristic landforms such as rock glaciers, is one key indicator for mountain permafrost. Monitoring this movement can indicate ongoing changes in permafrost; therefore, rock glacier velocity (RGV) has recently been added as an ECV product. Despite the increased understanding of rock glacier dynamics in recent years, most observations are either limited in terms of the spatial coverage or temporal resolution. According to recent studies, Sentinel-1 (C-band) Differential SAR Interferometry (DInSAR) has potential for monitoring RGVs at high spatial and temporal resolutions. However, the suitability of DInSAR for the detection of heterogeneous small-scale spatial patterns of rock glacier velocities was never at the center of these studies. We address this shortcoming by generating and analyzing Sentinel-1 DInSAR time series over five years to detect small-scale displacement patterns of five high alpine permafrost environments located in the Central European Alps on a weekly basis at a range of a few millimeters. Our approach is based on a semi-automated procedure using open-source programs (SNAP, pyrate) and provides East-West displacement and elevation change with a ground sampling distance of 5 m. Comparison with annual movement derived from orthophotos and unpiloted aerial vehicle (UAV) data shows that DInSAR covers about one third of the total movement, which represents the proportion of the year suited for DInSAR, and shows good spatial agreement (Pearson R: 0.42–0.74, RMSE: 4.7–11.6 cm/a) except for areas with phase unwrapping errors. Moreover, the DInSAR time series unveils spatio-temporal variations and distinct seasonal movement dynamics related to different drivers and processes as well as internal structures. Combining our approach with in situ observations could help to achieve a more holistic understanding of rock glacier dynamics and to assess the future evolution of permafrost under changing climatic conditions.
Sufficient plant-available water is one of the most important requirements for vital, stable, and well-growing forest stands. In the face of climate change, there are various approaches to derive recommendations considering tree species selection based on plant-available water provided by measurements or simulations. Owing to the small-parcel management of Central European forests as well as small-spatial variation of soil and stand properties, in situ data collection for individual forest stands of large areas is not feasible, considering time and cost effort. This problem can be addressed using physically based modeling, aiming to numerically simulate the water balance. In this study, we parameterized, calibrated, and verified the hydrological multidimensional WaSiM-ETH model to assess the water balance at a spatial resolution of 30 m in a German forested catchment area (136.4 km2) for the period 2000–2021 using selected in situ data, remote sensing products, and total runoff. Based on the model output, drought-sensitive parameters, such as the difference between potential and effective stand transpiration (Tdiff) and the water balance, were deduced from the model, analyzed, and evaluated. Results show that the modeled evapotranspiration (ET) correlated significantly (R2 = 0.80) with the estimated ET using MODIS data (MOD16A2GFv006). Compared with observed daily, monthly, and annual runoff data, the model shows a good performance (R2: 0.70|0.77|0.73; Kling–Gupta efficiency: 0.59|0.62|0.83; volumetric efficiency: 0.52|0.60|0.83). The comparison with in situ data from a forest monitoring plot, established at the end of 2020, indicated good agreement between observed and simulated interception and soil water content. According to our results, WaSiM-ETH is a potential supplement for forest management, owing to its multidimensionality and the ability to model soil water balance for large areas at comparable high spatial resolution. The outputs offer, compared to non-distributed models (like LWF-Brook90), spatial differentiability, which is important for small-scale parceled forests, regarding stand structure and soil properties. Due to the spatial component offered, additional verification possibilities are feasible allowing a reliable and profound verification of the model and its parameterization.