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2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
Change Detection Analysis for Urban Development in Bucharest-Romania, using High Resolution
Satellite Imagery
Ionut Sandric, Bogdan Mihai, Ionut Savulescu, Bogdan Suditu, Zenaida Chitu
University of Bucharest, Faculty of Geography Bucharest, Romania
Abstract— The evolution of Bucharest during the last 40 years
showed spectacular changes, as a result of the socialist urban
policy. The paper investigates the leading transformation of the
urban structures, comparing declassified intelligence imagery
(2002) CORONA KH 7 (0.60-1.20m spatial resolution) from 1966
and IKONOS pansharpened image from 2002 (1m spatial
resolution). We tried to use an image segmentation algorithm to
automatically classify the changes in urban structures. Poor
results were obtained as a result of the image geometry, altered
radiometry and blur “band stripes” induced by the scanning
process of the original film. Imagery interpretation and field
observations were applied on three case studies: Palace of
Parliament, the so called “People’s House”, Titan district, Piata
Sudului-Berceni area, superposing on the most transformed
areas. A large area of old houses disappeared especially on the
place of the huge Palace of Parliament where half of the
historical centre was replaced by block of flats, some old
churches disappeared or moved etc. Big block of flats quarters
appeared on fallow ground to the edge of Bucharest, some of
them, like Titan district, had replaced the old small houses
districts.
I. INTRODUCTION
Urban development of Bucharest during socialist
regime has had similar evolution, but still different features.
The demographic “boom” of the town (passing 58 thousand in
1831, 340 thousand in 1912, 1 million inhabitants in 1948 and
2 million inhabitants in 1992) generated the increase of the
built-up area together with the socialist industrialization. In
2002 the population was of about 1.996 million but the trend
is now a positive one. A particular feature was the evolution of
urban structures after the big Earthquake in March 1977. Most
of old building area, especially in the centre was destroyed or partly damaged. After 1980, the dictatorship rule put its
imprint also on the city development. The socialist urban
policy “made possible” the rase from the ground of old
specific small houses and the building of new big block of
flats, in the centre and around the downtown urban structures
These particular features of the urban development of
the Capital of Romania can be modeled using high resolution
satellite imagery. For a long time, historical air photos for
Bucharest have had a secret character (and some of them still
have) and a sparse coverage in space and time
Since 1995 and 2002 the declassification of
CORONA intelligence imagery have covered a gap in the
spatial knowledge of natural and social phenomena, making
possible a lot of comparative approaches [2,3,4,11,12]
Different similar contributions in the international literature, and especially those related to the urban structures
development issues, tried to use the potential of intelligence
imagery [9,13,14]. The temporal resolution of this data and its
spatial resolution, made possible an interpretation of the urban
features since 1961. For Eastern European countries and
especially for the former Soviet Union states this data are
available since the declassification begun in February 1995
and continued in 2002 [6,13,14,19]. The CORONA imagery
covers the period of the beginning of the socialist urban
transformations, when new urban districts with block of flats
appeared to the edge of the former structures (mediaeval and
modern). Although the use of CORONA imagery is a real advantage for land recognition and urban development, there
are not so much papers on urban issues, but a lot of works
from archeology, and especially in desert sites [4, 6, 7, 16].
Some papers refer to desert vegetation [1], flood hazards [7],
environment [2]
International contributions integrating change
detection for urban structures are quite numerous. They
integrates rather medium resolution data like LANDSAT or
SPOT 3, 4 imagery [10,14, 17], but during the last years the
use of high resolution satellite imagery has increased,
especially with the launch of IKONOS, QuickBird, OrbView and SPOT 5, focused on natural hazard short impact [3,7] and
on brand new urban structures [5]
II. MATERIALS AND METHODS
A. Image features
The potential of CORONA imagery is increasing in
the framework of change detection studies. Historical imagery can be easily compared with high resolution imagery like
IKONOS and Quick Bird, OrbView, SPOT 5, because of their
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
almost equal spatial resolution. This makes possible visual
interpretation [3, 4, 5, 13, 14] with ground control and validation, but according to our information without automatic
object-oriented classification. This is caused by the oblique
view of most of CORONA imagery and the low spectral
resolution. Other important deficiency of CORONA imagery
for object-oriented classification is the scanning errors which
often alternately appear as “blur stripes” (Fig. 1).
Figure 1. “Blur stripes” effect on CORONA image, affecting the quality of
data. The white line shows the limits between “blur stripes” areas and the original quality of the image
The CORONA image was acquired on July, 12, 1966
by the KH 7 high resolution camera (Lanyard sensor), spatial resolution 0.6-1.2 m. This is a summer scene, superposed on
the peak of the vegetation season. Interpretations are
influenced by the big density of tree canopies, within the parks
and the gardens. The main problem appears along the streets,
where trees make a sinuous limit between the road and the
pedestrian area. The image is almost oblique, and this feature
influences the interpretation and the data extraction and in
sometimes in the case of the highest buildings, like for
example the block of flats (the number of floors can be easily
estimated). A big advantage is the lack of cloud cover, not a
frequent feature for CORONA images.
The IKONOS image is a pansharpened mosaic dated January, 22, 2002 covering a rectangular area of about 12x17
km, superposed on 75% of the Bucharest metropolitan area.
This is obtained from two consecutive scenes of about 11x11
km, superposed in a transversal direction and taken from the
same orbit. This is a real advantage because there is a real
continuity in terms of radiometry and they can be
geometrically corrected and co-registered. The area coverage
contains the most transformed built-up areas, the city centre as
well as some of the largest areas with block of flats (built
during socialist period) and the industrial districts. Cloud
coverage is of about 20%, but there are only clouds of low
altitude, thin and transparent. Although the image acquisition time is in January, there is no snow, because of a warm
weather in that period, more likely caused by global warming.
The lack of leafy surfaces of deciduous tree, canopies, helped
very much the process of image analysis, interpretation and
data extraction, and in the same had a drawback on image
analyses for land-use and land-cover change detection. The
CORONA image is a summer image and the IKONOS image
is a winter image. This made, despite the temporal resolution,
the interpretation of green areas and their evolution to be made
under uncertainty
B. Image processing
The images were georeferenced in stereographic
“Stereo 70” projection (the national grid of Romania), datum
Dealul Piscului 1970. Twenty ground control points,
homogenously spatially distributed, were acquired on an image
by image basis. The reference images were the topographical
maps 1:10000 scale. A rms error of less than 2.5m was obtained and a polynomial transformation with nearest
neighbor resample method [2] was applied. No
orthocorrection was applied. The differences of altitude within
the study area are not so important (less than 15-10 m)
An image segmentation algorithm was used to
automatically classify the changes in urban structures. Our
option was the supervised texture segmentation algorithm
developed by Arco Luccier [12] and implemented in Parbat
software [18]. Poor results were obtained as a result of the
image geometry, altered radiometry and “blur stripes” induced
by the scanning process of the original film
III. RESULTS
A. Socialist urban policy
Since 1970, the housing policy in Romania was
closely linked to the accelerated “systematization,
modernization and civilization” programme.
The Territorial and settlement planning programme had as final goal: “the development with two coordinates of
economic efficiency with social criteria” and the graduated
disappearance of the town-village inequalities”, and also
between center and periphery. In 1972, the Xth Congress of
the communist party considered this as strategically important
for Romania. The Law 58/1974, regarding the territorial and
settlement systematization brought new principles for the land
use, for the building density having as a final goal the
reduction of the settlement built-up area perimeter (potential
development area).
The same period it was allowed to build in the outer
residential areas. The Decree 545/1958 limited the residential built-up area and restricted the spatial development beyond the
legal limit established by the master plan map. In 1950 some
villages were included in the Bucharest administrative
territory (Fig. 2). New buildings with flats appeared inside the
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
Figure 2. Administrative and residential areas typology in Bucharest
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
potential built-up area, dividing the former parcels. The house
density increased. Two-floor individual buildings were allowed in especially designated areas and within the big
block of flats districts. They recommended 6-10 floors block
of flats. The next decade, housing policy was focused almost
exclusively on blocks of flats. The reconstruction plan was
based on the 1956 urban master plan. This period blocks of
flats appeared in Ferentari, Vatra Luminoasa and Bucurestii
Noi (‘’The New Bucharest’’) districts, but the number of flats
within was limited [15].
Since 1959 the main policy was to built much more,
faster and cheaper. For efficiency reasons, the two floored
building model was abandoned The “efficiency” in urban land use policy was
spatially translated through the restriction for family houses
building. In the Article number 30 of the above mentioned
law, it was written that “the land within the built-up area
perimeter of towns and villages can be obtained only through
legal heritage, and their sale on legal base documents is
forbidden”. According to this document, the access of citizens
from other areas interested to buy the eventually fallow
grounds became impossible. The restriction to buy grounds or
houses in the peripherical areas was taken simultaneous with
the process of the future designated demolition areas [15].
Since 1975, the formula of the big blocks of flats ensembles was considered to be the most adequate to the
Romanian realities. This became a key role factor for the
economic and social reconstruction of towns. During the 60s
the blocks of flats building was done only on fallow grounds,
in the intermediary and in the outer areas of Bucharest. In the
next decades, these replaced, after demolitions, less clean
urban structures or houses without an architectural value [15].
Imagery interpretation and field observations were
applied on three case studies: Palace of Parliament, the so
called “People’s House”, Titan district, Piata Sudului-Berceni
area, superposing on the most transformed areas. These areas are considered to be relevant for the changes that happened
between 1966 and 2002 and include almost all the urban
structures featuring the city
1) Palace of Parliament (People’s House)
The Bucharest downtown represents the first urban
settlement on this place, attested in 1459 A.D., by the Prince
Vlad Tepes (‘’the empailer’’). Around the Princerly Court, the
urban districts flourished during in different periods, between
the 18th and the 19th century because of handicrafts and
commerce. The houses developed around churches and
orthodox monasteries which represented the spiritual centre of the district (the parish’ communities).Today’s Bucharest has
more than 300 churches, mainly from the medieval and
modern periods. Street network developed in a natural way, in
a complicated system but converging towards the churches. In
March 1977, after a big earthquake (7.4 degrees on Richter
scale) a lot of old houses and churches were seriously affected
and some of them were demolished because of practical
reasons. This was a turning point in the history of Bucharest. Most building, some of them of historical value (merchant’s
houses, landlord’s houses inns etc.) were destroyed or were
repaired quite late. The main loss was the demolition of more
churches in the central area; some of them damaged some of
them not. The area around the People’s House (The Palace of
Parliament) was totally rased from the ground. Streets with
houses, gardens, old trees and churches disappeared. An
interesting situation featured the Mihai Voda church (former
monastery dated since 1589-1591, founded by the Prince
Mihai Viteazul). Because of its historical and cultural value,
this building moved from its primary place on the edge of a Dambovita River upper terrace to a new position to the terrace
top (on a distance of 600 m) (Fig.3 and 4).
The old city center of Bucharest was almost
completely demolished and replaced by “The new Civic
Centre” area. This was done in two stages:
• 1984-1987: total demolition of the areas of interest,
street network designing, urban modeling and building. The
old city center urban structure of Bucharest can be seen on
CORONA image before the first stage of demolition (Fig. 3).
• 1987-1989: a selective demolition of the areas
designed for the building of different constructions and
residential buildings; during this period, the costs for demolition increased in terms of money and time and the big
project had decreased (Casa Poporului or the ‘’People’s
house’’, the Unirii Avenue etc.). The result appeared alter
1989 when “islands” from the old Bucharest preserved behind
the communist buildings of the Civic Centre [15].
2) Titan area
The biggest part with block of flats was built during
the 60s and the 70s, among the big residential ensembles (so
called “the dormitory districts”). These appeared in the
neighborhood of the big industrial districts, mostly on fallow grounds, to the outskirts of the city (Balta Alba, Drumul
Taberei, Pajura etc.). Other block of flats districts were built
alter the demolition of former villages around the city, like
Dristor, Dudesti, and partly Berceni, Titan, Crangasi etc. The
primary street network of the demolished structures was
conserved in the design process of the new districts. For
example in the area of Ramnicu Sarat Boulevard southwards
from the Dristor residential district, the block of flats were
built to the end of the 60s and superposes on the main street of
the former Cioplea village (Fig. 5 and 6). The big ensembles
of Balta Alba and Titan had been developed, during 60s and
70s, around the old settlements nuclei, the first one from mediaeval times and the second one from modern ages. They
“covered” afterwards these old structures of settlements.
Remnant features from the old structures cannot be found in
today’s shape of these districts [15]
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
Figure 3. CORONA image, 1966. The present day building configuration of Palace of Parliament overlayed on former urban structures
Figure 4. IKONOS image, 2002. Main old street network overlayed on actual urban structures
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
Figure 5. CORONA image. Area of Ramnicu Sarat Boulevard
2007 Urban Remote Sensing Joint Event
1-4244-0712-5/07/$20.00 ©2007 IEEE.
Figure 6. IKONOS image. Area of Ramnicu Sarat Boulevard
IV. DISCUSSION
The best results were obtained using visual interpretation and not object oriented analysis. The oblique
view angle of the CORONA imagery makes the visual
interpretation difficult and tedious. Special attention must be
given to shadow areas and tree canopies, which on summer
images poses real problems. The “blur stripes” induced by
scanning process require special attention. The rms error of
2.5 meters for each image hasn’t raised any problems. The
recent high resolution satellite imagery, IKONOS, QuickBird,
OrbView, SPOT 5, are more suited to object-oriented analysis
but, have the disadvantage of temporal resolution. Similar
results were obtained in other studies [3, 5, 13, 14] from Eastern Europe and Asia, and the main method was based on
visual interpretation and analysis. The results can easily
integrated in a GIS system. They can be used for further urban
analysis and spatial development, as an important part in
calculating the prior probability for “weight of evidence”
models applied in future urban planning.
V. CONCLUSIONS
CORONA satellite imagery offers a big advantage,
acting like a time windows to past. The declassification of
intelligence satellite imagery made possible to scientist from
various research fields to better understands the spatial and temporal evolution of different phenomena
The so called “Little Paris” during the interwar
period is a very interesting town. The transformation started in
December 1989 stopped the socialist urban development. The
new evolution, marked at the beginning by uncertainty, started
from a complex urban structure typology, which can explain a
long urban history (impossible to be rased from the ground by
any regime)
This study is just one aspect from various issues
regarding the evolution of Bucharest during the last 40 years
and the future development as a European Capital. Further research is required
VI. REFERENCES
[1] G. L. Andersen, “How to detect trees using CORONA
images: Discovering historical ecological data”, Journal of
Arid Environments, Vol. 65, 3, pp. 491-511, may 2006
[2] B. Bayram, H. Bayraktar, C. Helvaci, U. Acar, “Coast line
change detection using CORONA, SPOT and IRS 1d images”,
Proceedings in the XX ISPRS Congress “Geo-Imagery
Bridging Continents”, Istanbul, 2004 [3] G. Bitelli, R. Camassi, L.Gusella and A. Mognol, “Image
change detection on urban area: the earthquake case”, XX
ISPRS Congress, Istanbul, 2004,
www.isprs.org/istanbul2004/comm7/papers/136.pdf
[4] M. J. F.Fowler, “Declassified CORONA KH-4B satellite
photography of remains from Rome’s desert frontier, Int. J.
Remote Sensing, vol. 25, pp. 3549-3554, September 2004
[5] F. Del Frate, G. Schiavon and C. Solimini, “Use of high
resolution satellite data for change detection in urban areas”,
ESA-EUSC 2005: Image Information Mining – Theory and
Application to Earth
Observation,www.earth.esa.int/rtd/Events/ESA-
EUSC_2005/Ar48_Del_Frate.pdf
[6] N. Galiatsatos, “Assessment of the CORONA series of
satellite imagery for landscape archeology”, PhD thesis,
University of Durham, Department of Geography, 2004,
http://www.dur.ac.uk/nikolaos.galiatsatos/PhD_thesis.pdf [7] R. Goossens, A. De Wulf, J. Bourgeois, W. Gheyle and T.
Willems, “Satellite imagery and archaeology: the example of
CORONA in the Altai Mountains” Journal of Archaeological
Science, Vol. 33, 6, pp. 745-755, june 2006
[8] Henri J.B., Eburdy, S., E. Meyer, Y. Lafue, N. Tholey and
P. Fraipoint, “ Apports de l’ observation de la Terre à l’
évaluation des enjeux et de leur evolution face au risqué d’
inundation, dans la vallée de la Moselle entre Metz et
Thionville,
http://jb.henry.free.fr/these/publis/sfpt_pixeletcite.pdf,
[9] F.P. Kressler, M. Köstl, K. T. Steinnocher, “Monitoring
suburban dynamics in the Greater Vienna region. Integration of satellite imagery and census data, paper presented at the
Space and Time – GIS and Remote Sensing Conference,
Sopron, Hungary, 6-8 september 2001,
http://systemforschung.arcs.ac.at/su/Publications/pdf/paper_kr
essler.pdf,
[10] A.Y. Kwarteng, P.S. Chavez jr., “ Change detection study
of Kuwait City and environs using multi-temporal Landsat
Thematic Mapper data”, International Journal of Remote
Sensing, Vol. 19, 9, pp. 1651-1662, 10 june 1998
[11] D. Lu, Q. Weng, “Use of impervious surface in urban
land-use classification”, Remote Sensing of Environment, vol. 102, pp. 146-160, 2006
[12] A. Lucieer, Uncertainties in Segmentation and their
Visualisation, ITC Dissertation, nr 113, 2004
[13] I.C. Ratcliffe, G.M. Henebry, “ Urban land cover change
analysis: the value of comparing historical spy photos with
contemporary digital imagery”,
www.isprs.org/commission8/workshop_urban/ratcliffe.pdf [14] I.C. Ratcliffe, G.M. Henebry, “Using declassified
intelligence satellite photographs with QuickBird imagery to
study urban landcover dynamics. A case study from
Kazakhstan”, ASPRS Conference 2004 , www.asprs.org/conference-
archive/denver2004/program/finalprog-pdf/finalprog-
nocover.pdf,
[15] B. Suditu, Mobilitatea rezidentiala a populatiei
Bucurestiului, PhD thesis, University of Bucharest, Faculty of
Geography, in press
2007 Urban Remote Sensing Joint Event
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[16] J. Ur, “CORONA satellite photography and ancient road
networks. A Northern Mesopotamian case study”, Antiquity, vol. 77, pp. 102-115, march 2003
[17] C. Weber, A. Puissant, “Urbanization pressure and
modeling of urban growth: example of the Tunis Metropolitan
Area”, Remote Sensing of Environment, Vol. 86, 3, pp. 341-
352, august 2003
[18] http://www.parbat.net/
[19] http://www.fas.org/sgp/news/2002/08/hidconf.html