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Monitoring Land Surface Temperature (LST) via remote sensing images is one of the most important contributions to climatology. LST is an important parameter governing the energy balance on the Earth a...
The main purpose of this project was to investigate the possibility of using airborne laser scanning data as a source of information for supervised land cover classification of Widawa River vall...
In this paper a general fuzzy approach for segmentation-based classification is proposed. Traditional segmentation techniques focus on partitioning imagery into image-objects with well-deᤙ...
We present a new object-oriented land cover classification method based on Support Vector Machine (SVM) by fusing spectral and textural information of High-Resolution (HR) aerial imagery and Digital...
This paper is concerned with data and classifications that confuse the concepts of land cover and land use. Conceptual confusion is problematic for data integration and modelling. This has resulted in...
The landscape of the Niger Delta region of Nigeria is undergoing rapid changes as a result of natural and anthropogenic activities. This necessitates the development of a rapid, cost effective and eff...
This article presents a hybrid method that combines image segmentation, GIS analysis, and visual interpretation in order to detect discrepancies between an existing land use/cover map and satellite im...
This paper describes a simple comparison of the distributions of land cover features identified from volunteered data contributed by different social groups – in this case comparing two groups of Geo-...
Land cover mapping in most cases results in thematic maps which are in general not a perfect representation of the reality. They always contain errors due to the method used for its production or simp...
There is a growing need for consistent and up to date land cover data at various scales by regional, national and European authorities. Main drivers are recent or upcoming European directives and init...
Satellite data acquired in short time intervals like Terra,NOAA,…are very suitable in order to map vegetations in the scale of regional. In addition, because of being free of charge ,these data are...
A combination of the two remote sensing systems, imaging spectrometry (IS) and Light Detection And Ranging (LiDAR), is well suited to map fuel types, especially within the complex wildland urban inte...
The problem addressed is this: most environmental issues require context to solve them. Is the ocean getting warmer? Is the desert growing? Is the forest declining? Solution: measure the temperature...
The study of the land cover is one of the most important factors for planning and managing activities concerning the use of land surface on this earth. Remote sensing techniques have improved mappin...
Statistical based algorithms, like Linear Mixture Model (LMM); Fuzzy Set Theory based algorithms, like Fuzzy c-means (FCM), and Artificial Neural Network (ANN) based classification algorithms have be...

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