Post on 25-Jul-2018
Digital Soil MappingThorsten Behrens
Eberhard KarlsUniversität
Tübingenthorsten.behrens@uni-tuebingen.de Graz, 12.10.2009
Digital Soil Mapping
Digital Soil MappingHintergrund
global climate change food production
floods and droughtswater quality
soil degradation
bio-fuels
soil carbon sequestration shallow geothermal resourcesland use change
Digital Soil MappingHintergrund
Digital Soil MappingHintergrund
Scale large1:5,000; 1:10,000
medium1:25,000; 1:50,000
small1:100,000 –1:300,000
Federal State km² 2005 2010 2005 2010 2005 2010
Baden-Wurttemberg 35.752 0 0 25 90 100 100
Bavaria 70.549 0 0 60 100 30 100
Berlin 892 0 0 100 100100 100
Brandenburg 29.478 0 0 4 40
Hamburg 755 0 0 0 0 75 100
Hesse 21.115 0 0 100 100 100 100
Lower Saxony / Bremen 47.620 / 404 85 85 15 90 100 100
Mecklenburg-Western Pomerania 23.179 0 0 30 100 10 100
North Rhine-Westphalia 34.084 47 70 96 100 50 100
Rhineland-Palatinate 19.853 0 0 65 100 100 100
Saarland 2.569 0 0 5 5 100 100
Saxony 18.415 0 0 30 70 100 100
Saxony-Anhalt 20.446 0 0 80 100 100 100
Schleswig Holstein 15.763 1 1 40 50 99 100
Thuringia 16.172 0 0 10 65 100 100
Germany 357.046 16 18 46 87 76 100
Digital Soil MappingHintergrund
Pedometrics is defined as “the application of mathematical and statistical methods
for the study of the distribution and genesis of soils.”
PedodiversityUncertainty
Interpolation
GeostatistikExtrapolation Data Mining
Digital Terrain Analysis
Sampling
Geophysik
Remote SensingTime-Series
Wavelets
Fuzzy Logic
Digital Soil MappingHintergrund
Digital Soil MappingHintergrund
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Digital Soil MappingHintergrund
s = f (s, c, o, r, p, a, n)
= Boden= Klima= Organismen= Relief= Substrat= Zeit= Lage im Raum
f = empirisches Modell (Data Mining)- Regression- Klassifikation- Geostatistik / Kriging
scorpan
Der scorpan Ansatz McBratney et al., 2003
Digital Soil MappingHintergrund
Auf
lösu
ng
Flächendeckunggering hoch
gerin
gho
chDaten
Digital Soil MappingHintergrund
U. Werban
McBratney et al., 2003
Digital Soil Mapping
Digital Soil MappingBeispiele
pH-Wert / TK 5911
Digital Soil MappingBeispiele
Bodenformen Pfälzer-Wald
Digital Soil MappingBeispiele
K-Faktor Rheinland-Pfalz
Digital Soil MappingBeispiele
Bodenhydrologische Karte des Nahe Einzugsgebietes (Ausschnitt)
Digital Soil Mapping
Digital Soil MappingHintergrund
Covariate Data
Soil propertiesSoil functions
Soil threats
Accuracy
Sampling
Soil Data
Digital Mapping
Sensing
Digital Soil Mapping
Digital Soil MappingSampling
Weighted Latin Hypercube Sampling with Extremes
Digital Soil MappingSampling
Digital Soil MappingSampling
Digital Soil Mapping
Digital Soil MappingDigitale Relief Analyse
s = f (s, c, o, r, p, a, n)
= Boden= Klima= Organismen= Relief= Substrat= Zeit= Lage im Raum
f = empirisches Modell- Regression- Klassifikation- Geostatistik / Kriging
scorpan
“On Digital Soil Mapping”Relief 83 %Ausgangsgestein 22 %Klima 6 %
Der scorpan AnsatzMcBratney et al., 2003
Digital Soil MappingDigitale Relief Analyse
Reliefparameter
Schmitt und Dikau, 1999
Digital Soil MappingDigitale Relief Analyse
Verfahren zur Berechung der Hangneigung
Tobler (1969)Travis et al. (1975)Evans (1980)Horn (1981)Heerdegen and Beran (1982)Haralick (1983)Bauer et al. (1985)Zevenbergen and Thorne (1987)Eyton (1991)
Moore et al. (1993)Costa-Cabral and Burgess (1994)Wood (1996)Tarboton (1997)Dietrich and Montgomery (1998)Shary et al. (2002)Behrens (2003)Shi et al. (2007)…
Lokale Reliefparameter
Digital Soil MappingDigitale Relief Analyse
Verfahren zur Berechung der beitragendenFläche
Regionale Reliefparameter
Digital Soil Mapping
Digital Soil MappingData Mining
Digital Soil MappingHintergrund
Covariate Data
Soil propertiesSoil functions
Soil threats
Accuracy
Sampling
Soil Data
Digital Mapping
Sensing
Digital Soil Mapping
Danke für Ihre Aufmerksamkeit!
thorsten.behrens@uni-tuebingen.de
Graz, 12.10.2009
Digital Soil MappingDigitale Relief Analyse
Lokale Reliefparameter
Digital Soil MappingHintergrund
Boden und Klimawandel- Kohlenstoffspeicher- Ernährungssicherung- Wasserspeicher- Oberflächennahe Geothermie
Großprojekte Bodenkartierung