STUDY AND ACCURACY ASSESSMENT OF REMOTE SENSING DATA 
FOR ENVIRONMENTAL CHANGE DETECTION IN ROMANIAN 
COASTAL ZONE OF THE BLACK SEA 
Fl. Závoianu ^, A. Caramizoiu" , D.Badea" 
fzavoian(üpcnet.penet.ro 
    
a Faculty of Geodesy, Technical University of Civil Engineering Bucharest, ROMANIA, 
® Optoelectronica2001 S.A. Bucharest ROMANIA, alex@optoel.ro 
Commission VII, WG VII/6 
KEY WORDS: 3D-Model, Database, Change Detection, SIG, 
ABSTRACT: 
Environmental studies are a constant subject of research and have a permanent place in the international policy of sustainable 
development and ecosystem preservation. An important aspect is resource management and environmental change detection. 
Environmental aspects in coastal zones of the Bleck Sea are very important because the high population density and the intense 
economic and tourist activity make them extremely vulnerable. An integrated approach, using remote sensing and “in situ” 
observations, with the help of 2D-GIS data tools is the adopted solution in this work. 
In this paper we use the SPOT HRV , Landsat TM and SAR satellite image data over the costal zone of Black Sea. The mean of 
reducing feature space dimensionality of data uses the orthogonal transform like: Principal Components Analysis for replace the 
feature set with a derived feature set. The pre processing and processing of the image data are made with ERDAS IMAGINE. 
Assessing the accuracy of change detection products is an important step for the integration of remote sensed data to environmental 
management system as a decision support tool. 
In this paper we present the influence of accuracy and classification performance based of the confusion matrix and derived; overall 
classification accuracy, producer’s accuracy and kappa coefficient in change detection studies, the factors that are influencing the 
accuracy assessment and the accuracy assessment aspects for change detection and classification, with and without test data and 
cross-validation methods, for the Romanian coastal zone of the Black Sea from Mangalia to Sulina. 
RESUME 
Les études du milieu constituent un constant sujet de recherche et ont une place permanente dans la surveillance internationale du 
développement soutenu et dans la conservation des écosystèmes. Un important aspect est le ménagement des ressources et la 
détection des changements d’environnement. Les aspects de l'environnement dans les zones côtiers de la Mer Noire sont très 
importants à cause de la grande densité de la population et du développement économique soutenu et ainsi à cause de l’activité 
touristique qui font ces zones très vulnérables. Un abordage intégré sur la base des données de télédétection et des observations “in 
situ” dans le cadre d’un système d’information géographique en deux dimensions est la solution retenue dans cette étude. Dans ces 
travaux on utilise l’imagerie HRV(p), TM et SAR sur la côte de la Mer Noire. Dans le but de réduire les dimensions spectrales des 
données a été utilisée la transformation orthogonale en composantes principales pour remplacer le set original de donnes. Le 
traitement et pré traitement des images a été effectué à l’aide du logiciel ERDAS et EACI PACE. L’établissement de la précision des 
changements des produits est un pas important de-l'intégration des données de télédétection dans un systéme de ménagement du 
territoire comme support technique aux décisions administratives. Dans ces travaux on présente l'influence de la précision de la 
classification et du coefficient kappa dans les études de la détection des changements et ainsi que les facteurs qui influencent dans 
l'établissement des aspects liés aux détections des changements et dans la classification, sans l'utilisation des données test ou 
méthodes de validation concernant la cóte de la Mer Noire à partir de Mangalia à Sulina. 
environmental mitigation, being a complex indicator of the 
INTRODUCTION effects of the local, national and international policies regarding 
the environment. 
The environmental policies at the international level are related The late development in ihe satellite and Sensors capabilities 
to such issues as pollution, natural resource management, , can ‘be identified as a Team to p high Fes for increased 
sustainable development and global climate change. The role of accuracy in spatial, radrometric anc tempora! comam. ——— 
The most used technique for land cover change detection is the 
remote sensing data in this context is to define and support 1 > à VA AN 
information systems for environmental purposes, with the aim merging of two images from different dates; the resulted 
to detect air and water pollution, soil degradation, vegetation overlay indicates the areas that appear to be changed and the 
and environmental change. nature of change also. In such an analysis the results are 
dependent of the accuracy of the two images used. 
As a component of the environmental studies, the land cover 
change is an important aspect of resource management and 
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