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Friedrich-Schiller-Universität

Jena

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Area ln

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1. Problem statement#Arid environments cover extensive areas # Remote sensing important tool# # Low signal compared to background (soil)#

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Satellite illustration: NASA 2013

2. Methods

circle area cm²

mass g

+

Allometric modelR² = 0.87p < 0.001

Field measurements

Logarithmic linear Regression

0 0.2 0. 0. 0.8 1

Landsat - s rub spectral angle 0. 55-2.2 μmRapidEye - MCARI MT I2

RapidEye - rub spectral angle 0. 57-0.805 μmRapidEye - color usted NDRE

RapidEye - color usted red edge WD IRapidEye - Ra o Principal Component and 2

ASTER - cosine o slope aspectLandsat - principal component 1

RapidEye - color usted WD I REIRapidEye - color usted red edge WD I REI

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sensors

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Harald Zandlera*, Alexander Brenningbc & Cyrus Samimiad

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RapidEye

ASTER DEM

#Texture variables#

#Spectral angle variables#Principal components

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Allometric model+

+ 60 m

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regression models

squares, lasso, ridge)#

with satellite data

lowest stepwise linear regression

highest lasso regression

increased

based

variable importance#Common

indices not listed

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