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The main objectives of this study are (i) to calculate Land Surface Temperature (LST) from Landsat imageries, (ii) to determine the UHI effects from Landsat 7 ETM+ (June 5, 2001) and Landsat 8 OLI (Ju...
Merging of different data sets is often used in digital image processing to improve the visual and analytical quality of the data. The analyst may need to merge different types of data. In this proces...
Although spectral mixture analysis has been widely used for mapping the abundances of physical components of urban surface with moderate spatial resolution satellite imagery recently, the spectral het...
In order to evaluate the potential of satellite data in classification of saline soils, Enhanced Thematic Mapper (ETM+) subscene of northern part of Lout Plain, Iran dated July 2002 was analyzed quali...
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 ...
This research presents and exposes advantages of using multi-dates images to classify and mapping reforested area in the Kordkoy, north of Iran. Three multi-dates ETM+ images from first and middle of...
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...
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...
The major land cover in Iran is rangeland, so it is not possible to assess the vegetation cover of these vast areas through field work. During the recent years, many researchers have used various sate...
Monitoring of tropical forest is important as it plays a vital role in Global biodiversity and terrestrial carbon dynamics. Remote sensing can be effectively used to monitor the tropical vegetation. H...
FIELD EVAPOTRANSPIRATION ESTIMATION IN CENTRAL LUZON, PHILIPPINES USING DIFFERENT SENSORS: LANDSAT 7 ETM+, TERRA MODIS AND ASTER.
Lidar data provide accurate measurements of forest canopy structure in the vertical plane however current lidar sensors have limited coverage in the horizontal plane. Landsat data provide extensive co...
Recent work has established the utility of waveform sampling lidar for predicting forest structural attributes. Nevertheless, serious obstacles to its wide-spread use still exist. They include the lac...

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