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The use of remote sensing to monitor rapidly growing cities is challenging due to the dynamics of the landscape. Mapping of these land cover changes calls for an integrated algorithm that can detect b...
The tropical forest is depleting at a fast rate due to deforestation and degradation. Illegal logging was reported to be the cause of 50% of the deforestation. Illegal logging is a very pressing iss...
The Sivas Basin is one of the most well known major Tertiary basins of the Anatolia connected with the evolution of the Neotethyan Ocean. Central Anatolian Thrust Belt contains realms of this ocea...
From the beginning of the 80’s, the PETROBRáS, Brazilian petroleum company, started the hydrocarbonets economic exploration in Urucu (AM), in the West Amazon region. This paper presents multitemporal...
In recent years satellite knowledge and technology of remote sensing have had many improvements. Using of satellite imagery is developing in different land studies every day. Earth resources technol...
A study was conducted in two selected areas of the Brazilian cerrado using Landsat imagery during a five years period (1996-2000), to address the following estimation issues: (1) burnt area using sta...
This study presents a field-based crop mapping through sequential masking classification of multi-temporal Landsat-7 ETM+ images acquired in May, July, and August 2000 in Karacabey, Turkey. First, t...
In this paper, we explore the possibility of sparse regression, a new direction in unmixing, for vegetation and urban area classification. SUnSAL (Sparse unmixing via variable splitting and augmented ...
In this study, land cover types in Zonguldak test area were analysed on the basis of the classification results acquired using the pixelbased and object-oriented image analysis approaches. Landsat-7 ...
This study describes the parcel-based classification of agricultural crops using multi-date Landsat 7 ETM+ images acquired in May, July, and August 2000. The study area is located in North-West of Tu...
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs for extracting structural-geology features is given. In analyzing a...
Interpretation of remote sensing images into terrestrial attributes is very dependent of their spatial and spectral resolution. Normally, these types of resolution are contradictory: high spatial res...
The aim of this study is to validate the Spectral Angle Mapper (SAM) algorithm for geological mapping in Central Jebilet Morocco and compare the results between high and medium spatial resolution sen...
Information about current land-cover in forests is important for management and conservation of these areas. Up to the last decade traditional per pixel classification algorithms were used to be util...
An empirical model based on high resolution spatial and temporal remotely sensed data offers the ability to assess the degradation impacts of changes in land cover in a spatial context. In an attempt...

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