Tal Svoray
The synergy of optical data with microwave backscattering model for the
retrieval of soil and vegetation conditions in heterogeneous Mediterranean
environment
Tal SVORAY, Maxim SHOSHANY
Bar-Ilan University, Israel
Geography Department
savorat(a)popeve.cc.biu.ac.il
KEY WORDS: Remote Sensing, SAR, Mediterranean, Biomass, Semi-empirical modeling.
ABSTRACT
Estimation of soil moisture and vegetation biomass over wide regions is needed for a better understanding of
ecological conditions and for monitoring desertification processes in fragile environments such as the Mediterranean
region. Satellite remote sensing, with appropriate processing, could be very well suited for this task. In this work, we
provide a multi-temporal analysis of backscatter characteristics of four major vegetation formations in Mediterranean
regions. This analysis together with a description of the relationship between volumetric soil moisture and ERS-2
SAR data from Mediterranean soils enabled us to adapt the water-cloud model of Attema and Ulaby (1978) to
Mediterranean vegetation canopies. The application of the adapted model in heterogeneous plots was possible by the
use of vegetation formation pixel fractions from Landsat TM data. The results have shown considerably good
agreement between predicted and measured green biomass in both homogenous and heterogeneous plots.
1 INTRODUCTION
Regions with Mediterranean climate are being located in transition zones between humid and arid climates. In the
Mediterranean basin these climatic conditions, together with the long and intensive use of the land, have resulted in
complex environments. A better understanding of ecological processes in this sensitive zone and more effective
landuse management require detailed quantitative information of vegetation and soil properties over wide regions.
Radar remote sensing from satellites is very well suited to this task. However, currently, modeling vegetation with
radar data is mainly being utilized for spatially homogenous vegetation layers such as: agricultural crops; forests; and
wide grasslands and it is very limited for applications in heterogeneous areas such as exist in the Mediterranean
region. This report contributes to increase the knowledge of using SAR data in a Mediterranean region. The objectives
of this study are: (i) to generalize a soil moisture model for various soils along a semi-humid to semi-arid climatic
gradient; (ii) to adapt a backscatter semi-empirical model to the conditions of the study area as representative to the
Mediterranean region; (iii) to invert the adapted model in order to derive herbaceous vegetation green biomass
estimations from the ERS-2 SAR backscatter.
2 DATA
The study area is a semi-arid phyto-geographical zone
along a rainfall gradient with annual average between 450
mm and 250 mm, located in the central of Israel along the
eastern coast of the Mediterranean basin. The dominant = \ = 5 eon
rock formation is chalk with patches of Calcrete and the i |/
dominant soil is Brown Rendzina (Haploxerolls). m.
Vegetation in this area varies from shrublands and garigue \ l. Syra
(dominated by Quercus calliprinos and Phillyrea Mediterranean Sea /
latifolia), through dwarf shrubs (dominated by
Sarcopoterium spinosum) to open areas with diverse | Israël
grasslands vegetation (dominated by Gramineae). The
spatial patterns represent wide range of transitional stages
between areas of high homogeneity of mainly tall shrubs
and grasslands with different compositions of the three
vegetation formations. This diversity of patterns is a result
of a long history of human activity (since the late bronze,
approximately 5500 years ago). At the present, land use in
this area is composed of agricultural crops and rangelands
with controlled grazing pressures. The study area is
characterized by wide range of "regeneration and Figure 1. The study area within a regional context.
degradation patterns” of patches representing various
soil-vegetation relationships, which may allow
generalization of the methods to wider areas of transition
between Mediterranean and arid regions.
30° Eq 45° E\ |
Saudi Arabia
322 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part Bl. Amsterdam 2000.
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