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In this study object-based image analysis (OBIA) techniques were applied to assess land cover changes related to mineral extraction in a conflict-affected area of the eastern Democratic Republic of th...
With the rapid developments of the sensor technology, high spatial resolution imagery and airborne Lidar point clouds can be captured nowadays, which make classification, extraction, evaluation and an...
The methods of Automatic land use and land cover change detection based on remote sensing image has been widely applied in research for LUCC (Land Use and Cover Change), nature resource management and...
Many authors explored the use of multi-temporal images, recorded within a season or across years, for (i) ecosystem monitoring, (ii) land cover (crop) identification, and (iii) change detection(Copin ...
The origin of the concept of using contextual information of Correlation in neighborhood of a pixel for change detection is the simple geo-statistical fact that the same geographical area (neighborhoo...
Within recent years, a variety of new high resolution airborne and spaceborne sensors have been put into place. These sensors are either active (SAR) or passive (optical). Further systems will be laun...
The purpose of this study is to clarify the relationship between the distribution of small-scale green spaces and butterfly assemblages in urbanizing areas located north-east of Ichikawa City. Landsca...
QuickBird imagery covering Kakamega Forest in Western Kenya and the surrounding farmland (i.e. a total area of 631 km2) has been acquired for the interdisciplinary BIOTA East Africa research project. ...
Savannas are heterogeneous systems characterized by the coexistence of grasses and woody trees. Riparian zones are dynamic parts of savanna landscapes with structurally diverse woody vegetation. Growi...
Boreal forests and wetlands play an important role in the climate system, in particular through biosphere-atmosphere flux exchanges.They are an important pool of carbon and their role as sink or sourc...
In this work, a methodological framework employing image processing techniques has been developed and applied on a LANDSATETM+ image of Alevrada, Greece. Pre-processing of the satellite image was foll...
The Support Vector Machine is a theoretically superior machine learning methodology with great results in classification of highdimensional datasets and has been found competitive with the best machin...
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
There is a need to automate terrain feature mapping so that to make the process more objective and less time consuming by using proper feature extraction techniques. The objective of this study was ...
GEOBIA (Geographic Object-Based Image Analysis) is not only a hot topic of current remote sensing and geographical research. It is believed to be a paradigm in remote sensing and GIScience. The lack o...

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