This software provides capabilities for displaying, analyzing, and interpreting digital images from earth satellites and raster data files that represent spatially distributed data. I have over 15 plus years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products. Google Earth has further made access to high spatial resolution remote sensing data available to non-experts with great ease. of Digital Image Processing which are applied to remote sensing images obtained from various satellite sensors. Remote sensing data provides essential information that helps in monitoring various applications such as image fusion, change detection and land cover classification. The digital image processing techniques presented are multidisciplinary in nature, and can be used in most Earth science and social science research by scientists who believe that the analysis of remotely sensed data by computer may benefit their decision-making capability. The bandwidth of the telecommunication channel sets a limit to the data volume for a scene taken by the imaging system. In this chapter, we have tried to cover majority of the artificial intelligence (AI) techniques that has contributed to the remote sensing community in the form of satellite data processing, right from the basics to advanced level. Editorial Board . Sentinel 1A was successfully launched 3rd april 2014. Remote sensing is the acquisition of Physical data of an object without touch or contact. Many image processing and analysis techniques have been developed to aid the interpretation of remote sensing images and to extract as much information as possible from the images. Chapter 3 Introduction to Remote Sensing and Image Processing 17 Introduction to Remote Sensing and Image Processing Of all the various data sources used in GIS, one of the most important is undoubtedly that provided by remote sensing. and Erdas Imagine software. CONTENTS: Introduction to Digital Image Processing. Click here to see the Section Editorial Board of "Remote Sensing Image Processing". (European Space Agency). The different spatial, temporal and spectral resolutions are the limiting factor for the utilization of the satellite image data for different applications. Imaging systems, particularly those on board satellites, provide a repetitive and consistent view of the earth that has been used in many remote sensing applications such as urban growth, deforestation and crop monitoring, weather prediction, land use mapping, land cover mapping and so on. It demonstrated effective use of the remote sensing data and spatial analysis for vegetation studies: a combination of digital satellite images, GIS cartographic tools and methods Different Stages in Digital Image Processing Satellite remote sensing data in general and digital data in particular have been used as basic inputs for the inventory and mapping of natural resources of the earth surface like forestry, soils, geology and agriculture. Sentinel is developed under copernicus programme which is maintained and co-funded by European Union and ESA. Special Issues. Introduction To Remote Sensing e. Detection of Reflected/Emitted Energy by the Sensor: The sensors recording the energy that they receive are placed in a near– polar sun synchronous orbit at an altitude of 700 – 900 km. Satellite images from various sensors and digital aerial photographs are often used as data sources, along with modern techniques such as laser altimetry. Digital Image Processing in Remote Sensing @article{Fonseca2009DigitalIP, title={Digital Image Processing in Remote Sensing}, author={Leila Maria Garcia Fonseca and L. Namikawa and E. Castejon}, journal={2009 Tutorials of the XXII Brazilian Symposium on Computer Graphics and Image Processing}, year={2009}, pages={59-71} } Remote sensing data acquired from instruments aboard satellites require processing before the data are usable by most researchers and applied science users. Dragon refers to any of several remote sensing image processing software packages. The proposed course provides basic understanding about digital image processing of Remote Sensing datasets / images acquired by different earth resources satellites. With the advancements in sensor technology, earth imaging is now possible at an unprecedented level of detail. Remote Sensing Data Acquisition Alternatives. The choice of specific techniques or algorithms to use depends on the goals of each individual project. 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