Remote sensing images

Xem 1-20 trên 80 kết quả Remote sensing images
  • Nowadays it is hard to find areas of human activity and development that have not profited from or contributed to remote sensing. Natural, physical and social activities find in remote sensing a common ground for interaction and development. From the end-user point of view, Earth science, geography, planning, resource management, public policy design, environmental studies, and health, are some of the areas whose recent development has been triggered and motivated by remote sensing.

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  • Signal processing has been playing an increasingly important role in remote sensing, though most remote sensing literatures are concerned with remote sensing images. Many data received by remote sensors such as microwave and geophysical sensors, are signals or waveforms, which can be processed by analog and digital signal processing techniques.

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  • The present investigation intends to examinations the morphometric attributes of Ozat River basin to comprehend the hydrogeological behavior and influence on hydrology of the basin. The basic and derived morphometric parameters (linear, areal and relief aspects of drainage network) for the basin were determined using ASTER DEM (30 m resolution),remotely sensed images of Linear Imaging Self Scanner III (LISS III) and Geographic Information System (GIS).

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  • In this research, remote sensing technology was used to evaluate urban development and its thermal characteristics through mapping impervious surfaces and evaluating thermal infrared images. The study is carried out in the northern part of Ho Chi Minh City, which is experienced an accelerated urban development since the end of 1980s. Landsat and Aster images were used to calculate the variation in urban impervious surfaces from 1989 to 2006. Thermal bands were processed to obtain land surface temperatures for investigating the urban heat island effect...

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  • Our planet is nowadays continuously monitored by powerful remote sensors operating in wide portions of the electromagnetic spectrum. Our capability of acquiring detailed information on the environment has been revolutionized by revealing its inner structure, morphology and dynamical changes. The way we now observe and study the evolution of the Earth’s status has even radically influenced our perception and conception of the world we live in.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

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  • Our planet is nowadays continuously monitored by powerful remote sensors operating in wide portions of the electromagnetic spectrum. Our capability of acquiring detailed information on the environment has been revolutionized by revealing its inner structure, morphology and dynamical changes. The way we now observe and study the evolution of the Earth’s status has even radically influenced our perception and conception of the world we live in.

    pdf224p kimngan_1 05-11-2012 40 2   Download

  • Due to the strong development of agricultural and industrial activities in this day and age, the widespread use of fossil fuels has caused the concentration of greenhouse gases in the atmosphere to significantly increase. With a high concentration of greenhouse gases comes an increase in the temperature of the Earth, which contributes to the acceleration of climate change.

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  • This study focuses on the use of remotely sensed data for monitoring coastline changes in the Red River Delta during the 1998 to 2008 period. For the satellite image data processing, the shoreline was defined as the mean sea level on the muddy coast where the tide is the dominant dynamic factor and as the mean high sea level on the sandy coast where the ocean waves are the dominant dynamic factor.

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  • In recent years, activities related to socio-economic development have led to land cover (LC) changes in the upper part of the Dong Nai river basin. The use of remote sensing applications to analyse the impacts of these changes plays an important role in the managing the sustainability of the river basin. This paper introduces a solution for analysing the impacts of LC changes on the water balance in the upstream catchment of the Dong Nai river in Lam Dong province. Landsat images were used for mapping and monitoring major changes over the last 20 years.

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  • The paper is based on the study of distribution of Rhododendron arboreum Sm. in Langtang National Park ranging from 600 m to 7234 m. The study was carried out the Remote-Sensing and Geographic Information System technique. SPOT Image and ERDAS Software have been used for the image processing. The program has detected different ecological parameters in tropical to alpine zone and verified ground truth Rhododendron arboreum of the study.

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  • Remote sensing is very useful to collect information about water resource and to manage it by satellite data. In this paper, study has been carried out for Ramganga reservoir using Landsat 8 imagery for spatiotemporal mapping. The imagery has been collected from 2013 to 2018 for pre-monsoon and post monsoon season. The reservoir, under study, is presently used for hydroelectric purpose and irrigation. Landsat-8 images which were cloud free has been taken for the study.

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  • Agricultural drought is a natural hazard that characterized by shortage of water supply. In recent decades, the scientists usually deal with phrases Agricultural drought monitoring as an essential component of drought risk management and using remote sensing (RS) and Geography Information System (GIS) based on drought indicators, proposed and widely used in the field of drought monitoring. This paper presents some agricultural drought indicators to generate a suite of drought levels at monthly, seasonal, and annual time scales for the North Central regions, Vietnam.

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  • The present study deals with the application of remote sensing and GIS for mapping of land resources of Nagenahalli watershed in Bangalore rural district of Karnataka. Base maps, google earth images, toposheets and satellite imagery (1:12,500 scale) collected from Karnataka State Remote Sensing Application Centre, Bangalore have been used in the study. Maps on various themes, viz., land use, drainage, soil, slope, depth etc. have been generated using aforementioned satellite data coupled with ground truth.

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  • This study estimated the time series of surface water area by processing Landsat images from the Google Earth Engine platform. Then, the area – volume – elevation relationship constructed from DEM was used to derived the water level and volume from the surface water area datasets. The results showed that remote sensing enables to monitor temporal variations of water level and volume of reservoirs.

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  • There are six sections in this book. The first section presents basic image processing techniques, such as image acquisition, storage, retrieval, transformation, filtering, and parallel computing. Then, some applications, such as road sign recognition, air quality monitoring, remote sensed image analysis, and diagnosis of industrial parts are considered.

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  • Image registration is the process of spatially aligning two or more images of a scene. This basic capability is needed in various image analysis applications. The alignment process will determine the correspondence between points in the images, enabling the fusion of information in the images and the determination of scene changes. If identities of objects in one of the images are known, by registering the images, identities of objects and their locations in another image can be determined.

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  • Remotely-sensed data for urban classification is very diverse in data type, acquisition time, and spatial resolution. Therefore, preprocessing is needed for input data, in which the spatial resolution must be changed by different resampling methods. However, data transformations during resampling have many effects on classification results. In this research, resampling methods were evaluated.

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  • The geology of the Çankırı Basin has been studied using multi-source data including satellite images, aerial photos, gravimetric data and seismic sections, which are subsequently used to generate maps and a 3D model of that part of the basin covered by the seismic sections.

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  • Developed model is based on digital image processing techniques under RS-GIS domain, in which conversion of Intensity, Hue and Saturation to RGB image of SWIR, NIR and red spectral bands has been applied for the signature capture of clay soils. To achieve this target, spectral enhancement process was initiated by using of AWiFS data (May, 2015). Clear cut demarcation of clay soil patches from surrounding was observed in blue tone of the converted RGB image. Out of the total geographical area, the maximum coverage of clay soils was observed in Mokama (12.79%) followed by Pandarakh (11.

    pdf9p kethamoi2 14-12-2019 11 1   Download



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