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In recent years the launch of (very) high-resolution (VHR) spaceborne multi-spectral (MS) scanners has made purely supervised remote sensing (RS) image analysis over extended target areas no longer ...
ESTIMATION OF FOREST STAND PARAMETERS IN DENSITY CLASSES IN ARID AND SEMI-ARID REGIONS USING LANDSAT ETM+ DATA.
Estimating crop yields is critical for regions in the Aral Sea Basin, where agriculture, predominantly cotton (Gossypium hirsutum L.) production, is the main source of income. Monitoring the spatial ...
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...
The Mongolian territory includes various ecosystems as, taiga forest, high mountains, width steppe and gobi desert, through North to South. The glacier is most important land cover type to keep the ...
East Oweinat district is located in the south Western Desert of Egypt. It is mainly occupied by outcrops of Archean to Early Proterozoic rocks of high to medium metamorphic grade and younger granitoi...
This paper presents a comparison between L-band HH JERS-1 SAR and Landsat TM data for land cover assessment in an Amazonian test site. For this, a study area located in the south of Rondo坣ia State, w...
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to stud...
The advantages of Remote Sensing for the knowledge of environmental dynamics are widely ascertained by scientific community. Spatial synchronization and temporal resolution of large areas have meanin...
Operational large-scale inventories, such as the State of Mississippi’s inventory system, must have algorithms to rapidly categorize the forest resource into statistically efficient strata. These proc...
Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural...
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...
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 ...
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...

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