optical satellite remote sensing
A Review of Geological Applications of High-spatial- resolution Remote Sensing Data
... (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and efficient geological ...HR optical remote ...
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A Comparative Study of Water Indexes and Image Classification Algorithms for Mapping Inland Surface Water Bodies Using Landsat Imagery
... Both optical (passive) and microwave (active) remote sensing methods have been widely utilized for surveying Earth’s inland surface water bodies, but both of them have some advantages and ...
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Classification of Satellite Images Based on Color Features Using Remote Sensing
... multi-temporal optical image based on DWT feature extraction and K-Means clustering is ...the optical image is feature extracted using the discrete wavelet ...of satellite images based on clustering ...
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Deriving Primary Specifications of Optical Remote Sensing Satellite from user Requirements
... Satellite remote sensing started with the launch of Television Infrared Observation Satellite (TIROS-1) spacecraft on 1 st April 1960, which carried a single band TV camera for cloud coverage ...
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Design and Development of Framework to Create Cloud Free Reference Repository of IRS Satellite Images for Image Analysis
... high-resolution satellite images, offer the potential for more accurate analyses, by which the detection and quantification of changes could improve ...free satellite images using data received from on ...
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Utility of Microwave and Optical Remote Sensing in Oil Spill Detection in the Mangrove Region of Nigeria
... False color composite was created to aid image interpretation and processing as it gave a better visual impres- sion of the reality on the ground than displaying one band at a time. This results in an image with ...
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Sun Glint Manifestation at Evaluating the Black Sea Water Optical Parameters using Satellite Measurements
... of satellite-derived remote-sensing data is ...improved optical models and data processing algorithms provide the possibilities to estimate marine inherent optical properties in routine ...
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Optimizing cloud removal from satellite remotely sensed data for monitoring vegetation dynamics in humid tropical climate
... Abstract. Remote sensing technology is an important tool to analyze vegetation dynamics, quantifying vegetation fraction o f Earth's agricultural and natural ...In optical remote ...
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EXTRACTION OF HYDRO-MORPHOLOGICAL FEATURES FROM GEO-SPATIAL DATASETS A Study for Ghataprabha River Basin, Karnataka
... III satellite data was used to extract the Landuse- Landcover pattern of the command ...The satellite data derived geo-morphometric and hydro-geomorphic features assist in managing the surface water ...
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Application of Remote Sensing Technologies to detect the vegetation changes during past two decades in Islamabad, Pakistan
... Remote Senisg (RS) and Geographical Information System are proven to be a very useful tool because RS gives spatial as well as spectral data from satellites without physical contact with the object. The ...
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Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records
... aerosol optical thickness where spectra from the sensors Sea viewing Wide Field of View Scanner (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) are merged into a single data product using least ...
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Cropping System Analysis of Kurukshetra District using Remote Sensing and GIS
... by remote sensing techniques reflected that Rice and Sugarcane are two major crops in Kharif season, which could be identified using Multi-date RS ...
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United Nations Education Program in Space Science and Technology 1988 2018
... Satellite navigation has significantly and rather quickly changed the scope of its application. Considered a technology merger that will foster and advanced navigation, satellite navigation now encounters ...
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Huang, Shengli (2005): The potential of multi-sensor satellite data for applications in environmental monitoring with special emphasis on land cover mapping, desertification monitoring and fire detection. Dissertation, LMU München: Fakultät für Biologie
... available satellite data, humans understand the environment of our Earth much better than ...earth. Satellite data are key information for these activities (Hobish, ...with satellite as a key ...
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De noising Spacecraft Attitude and Rate Data using DWT
... In this paper, de-noising of satellite attitude and rate data using discrete wavelet transform is presented. The mission objective of any remote sensing satellite is to produce an image. The ...
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Application of Satellite Communication & Remote Sensing for Development
... from remote sensing is often valuable because fit may provide the only long- term data for a large extent of geography at the same time the data is often complex to interpret and bulky to store modern ...
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Use of Sentinel 2 – MSI for water quality monitoring at Alqueva reservoir, Portugal
... Gower, J. F., King, R. S., and Goncalves, P.: Global monitoring of plankton blooms using MERIS MCI, Int. J. Remote Sens., 29, 6209–6216, https://doi.org/10.1080/01431160802178110, 2008. INAG (Instituto da Água ...
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Multitemporal Land Use/Land Cover Change Detection for the Batena Watershed, Rift Valley Lakes Basin, Ethiopia
... of satellite imagery takes into account the com- bined, measurable re fl ectance of the atmosphere, aerosol scattering and absorption, and the Earth ’ s ...of satellite images, the Landsat images are ...
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Semantic location extraction from crowdsourced data
... photogrammetry, remote sensing and spatial information science, and to identify new ways for supporting global sustainability and Future Earth with ...
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Browse Title Index
... domain. Remote sensing is widely known among urban planners, city planners, and policy makers as a useful tool for extracting biophysical information about urban environment including land cover and land ...
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