Creating
Bald Earth Models Beneath Dense Vegetation With Synthetic Aperture
Radar
By
Markus Rombach
Aero-Sensing Radarsysteme GmbH
is a private enterprise founded in early 1996 by scientists
of the German Aerospace Research Establishment (DLR). Their
know-how represents the latest in international radar technology.
In particular, their application of radar interferometry, with
a highly automated evaluation of the mission data, permits them
to accurately determine surface heights and generate three-dimensional
images of the Earth's land and water surfaces, independent of
weather and light conditions or any kind of vegetation coverage.
Ever since the development and construction of their first Synthetic
Aperture Radar (SAR) system, the company has grown steadily
and now runs four different radar systems worldwide, including
those on its own as well as in third-party-owned airplanes.
At the end of 2000, Aero-Sensing
was busy mapping an area within Brazil's tropical rain forest,
utilizing its newly manufactured multi-polarimetric and interferometric
P-band sensor, plus the long-approved X-band system. This project
was carried out as a collaborative effort among the Brazilian
Army (DSG), the Brazilian Institute of Geography and Statistics
(IBGE), the Brazilian National Institute for Space Research
(INPE), Applied Electromagnetics (UK), the Italian Research
Council (CNR-IRECE) of Naples, Italy, and Aero-Sensing Radarsysteme
GmbH, Germany. The goals of this project varied with the interests
of each partner, driven mainly by the strong need for information
about and beneath dense vegetation. This project was organized
in such a way that Aero-Sensing provided its latest software
and hardware, as well as operational and scientific know-how.
In combination with the high-level support of the other partners,
it was therefore possible to keep all data processing and data
evaluation within the country of Brazil. Some of the results
gathered from this project were presented during the 10th Brazilian
Remote Sensing Conference in Foz do Igua¨u, in April 2001.
For clarification of the capabilities
of the InSAR technology, Figure 1 shows the simple impact regarding
penetration possibilities, when applying SAR sensors with different
transmitting frequencies. Figure 1 illustrates the difference
between X-band and P-band penetration through dense vegetation
such as forests. X-band waves are scattered back from the top
of the canopy, whereas P-band penetrates the foliage and gets
reflected from tree trunks and soil, thus carrying the phase
information from bald earth.
In the past, the bald earth model
- or Digital Ground Model (DGM) - was derived from the Digital
Surface Model (DSM) by manually editing the DSM using external
information about vegetation heights. However, in this case
the result includes non-satisfactory approximations and likely
does not meet customer-defined accuracy requirements. Experience
has been gained in various mapping projects over both flat and
hilly terrain. One of the outcomes of the Brazilian Rainforest
Project was the evidence that variation of absolute tree heights
do not always correspond to the variation in forest floor heights.
Therefore, techniques that use randomly scattered, absolute
tree height estimates can be inaccurate when referencing the
derivation of a bald earth model on the basis of just such a
data set.
As a result, a reliable DGM with
high-end accuracy can only be obtained using low-frequency technology,
i.e., P-band repeat-pass interferometric SAR observations. This
version of InSAR technology is based upon the same physical
principle as is X-band single-pass interferometry. Due to its
longer wavelength, no foliage influences the signal; only the
stem and forest floor offers a noticeable effect. As illustrated
in Figure 1, only signals that are reflected twice (the so-called
double bounce) will contribute to the height estimation. Aero-Sensing's
software packages are able to calculate the absolute height
of the forest floor for locations between the two bounces, and
naturally not the height of the location at the first or second
bounce due to the reflection center principle of double-bounce
scattering.
Additionally, Aero-Sensing's
P-band sensor is equipped to distinguish between vertically
and horizontally transmitted and reflected signals, the multi-polarized
system. This opens up another field of application, where information
about the various horizontal layers within a forest environment
is necessary.
Figure 2 and 3 show the DSM as
derived from the X-band, and the DGM as derived from the P-band
data in the same area. Trees and clear-cuts are easily visible
in the DSM, indicating the problems mentioned above when using
the wrong approach to derive a DGM. Another aspect is the coherently
imaging of the water drainage system within the DGM, which can
only be depicted by using the physically approved approach of
an interferometric P-band SAR system.
The grid spacing and spatial
accuracy requested by the project's clients was 2.5m x 2.5m
for the DSM, as well as for the DGM images and elevation models.
As Aero-Sensing's X-band sensor has a long-approved reputation
of being able to generate DSMs with a precision of up to 50cm
x 50cm horizontally, and up to five centimeters vertically,
the focus of interest was naturally on the cutting-edge P-band
system and its products. Figures 2 and 3 show a zoom window
of an area of approximately 2km x 2km. It can be clearly distinguished
between the tree heights and clear-cut areas in the DSM image.
These areas are not visible in the DGM, as was expected. On
the other hand, rivers are easily monitored with the P-bands
DGM, but disappear beneath the forest when mapped with the X-band.
Various ground-truth surveys
were undertaken during the project. Up to 120 people simultaneously
took verification, experimental and maintenance measurements
for aerial survey control. Corner reflectors were deployed for
calibration as well as for verification. Other artificial objects
were used to prove their visibility in hidden positions below
the dense forest canopy for the P-band sensor. A large amount
of D-GPS bald earth height measurements were made through the
customers themselves - as a blind dataset for Aero-Sensing -
to ensure the independent precision of their operational InSAR
systems. Results of height accuracy as derived by INPE show
a standard deviation of 1.83 meters (1 Sigma) and an RMSE of
1.92 meters. Even though some unexpected limitations occurred,
due mostly to less-than-optimal GPS satellite coverage, the
results went far beyond expectations as the system was configured
to derive only a vertical accuracy of five meters. Additional
European surveys with other P-band sensor configuration parameters
showed the ability to reach a height accuracy of up to one meter
(1 Sigma). Therefore, Aero-Sensing offers the fully operational
determination of bald earth models for any kind of vegetation
coverage with a height precision of up to one meter, and a grid
spacing accuracy of 2.5m x 2.5m.
To optimize the system configuration
for its projects, various swath widths were tested during the
project period. The aforementioned rates of resolution and accuracy
was achieved with a four-kilometer-wide footprint, but Aero-Sensing's
research and development department indicates that it will soon
be possible to offer similar advantages with their InSAR systems,
and their unique P-band sensor as well.
Figure 4 shows the DGM (bald
earth model) of one of the project areas within the tropical
rain forest of about 22km x 13km. The grid spacing is 2.5m x
2.5m, with a height accuracy of two meters. This image is impressive,
as it shows the two different discharge regimes in general as
well as in detail. When comparing the data with a manipulated
DSM (DSM = tree height estimates), it becomes very obvious that
this approach leads to incorrect information about the bald
earth reality. One reason is the fact that trees at lower altitudes
- such as those near riverbeds - tend to grow taller than do
trees at slightly higher elevations, mainly due to greater water
availability and other phenological reasons (Figure 3). This
leads to a leveling of the treetop height, which gives the impression
of a totally flat, bald earth reality.
Various other products were generated
from the datasets derived through this project. In Figure 5,
the difference between the two DEMs is illustrated by different
colors. Bright green areas indicate the biggest differences,
whereas dark green areas point at almost the same height estimates
of DSM and DGM. Even individual trees are visible within the
bright green area. The image is a mixture of forest floor topography
and treetop height measurements of the two sensors.
Another important product of
this project was the exemplary production of maps by the Ministˇrio
da Defensa, Diretoria de Servi¨o Geogr‡fico of Brazil. Figure
6 shows the X-band amplitude data, together with the contour
lines of the bald earth model. All data are fully ellipsoid-corrected,
geocoded, and referenced into the local geographic reference
system, with all data generated by Aero-Sensing's InSAR systems.
Meanwhile, the production of these maps was fully automated,
as was the operational aerial surveying and processing. With
this methodology it will soon be possible to print out maps
of the entire rainforest areas.
Aero-Sensing Radarsysteme GmbH
is presently working within the United States with a similar
InSAR system configuration as was used in this project, mapping
countywide bald earth models with a height accuracy of better
than two meters (1 sigma) below dense, forested areas, and a
height accuracy of 20 centimeters (1 sigma) for open-field areas.
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