Remote Sensing And Its Applications Pdf

remote sensing and its applications pdf

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Remote Sensing Applications: Society and Environment

Agriculture - Satellite and airborne images are used as mapping tools to classify crops, examine their health and viability, and monitor farming practices. Forestry - Forestry applications of remote sensing include the following:. Commercial forestry : Of importance to commercial forestry companies and to resource management agencies are inventory and mapping applications: collecting harvest information, updating of inventory information for timber supply, broad forest.

Environmental monitoring : Conservation authorities are concerned with monitoring the quantity, health and diversity of the Earth's forests. Geology - Remote sensing is used as a tool to extract information about the land surface structure, composition or subsurface, but is often combined with other data sources providing complementary measurements.

Multispectral data can provide information on lithology or rock composition based on spectral reflectance. Radar provides an expression of surface topography and roughness, and thus is extremely valuable, especially when integrated with another data source to provide detailed relief. Geological applications of remote sensing include the following:. Hydrology - Remote sensing offers a synoptic view of the spatial distribution and dynamics of hydrological phenomena, often unattainable by traditional ground surveys.

Radar has brought a new dimension to hydrological studies with its active sensing capabilities, allowing the time window of image acquisition to include inclement weather conditions or seasonal or diurnal darkness. Sea ice - Remote sensing data can be used to identify and map different ice types, locate leads large navigable cracks in the ice , and monitor ice movement.

With current technology, this information can be passed to the client in a very short timeframe from acquisition. Land cover and Land use - Resource managers involved in parks, oil, timber, and mining companies, are concerned with both land use and land cover, as are local resource inventory or natural resource agencies.

Changes in land cover will be examined by environmental monitoring researchers, conservation authorities, and departments of municipal affairs, with interests varying from tax assessment to reconnaissance vegetation mapping. Governments are also concerned with the general protection of national resources, and become involved in publicly sensitive activities involving land use conflicts. Often coastlines are also biologically diverse inter-tidal zones, and can also be highly urbanized.

Government agencies concerned with the impact of human activities in this region need new data sources with which to monitor such diverse changes as coastal erosion, loss of natural habitat, urbanization, effluents and offshore pollution.

Many of the dynamics of the open ocean and changes in the coastal region can be mapped and monitored using remote sensing techniques. Atmosphere monitoring - Measurements and observations of the atmosphere and especially the troposphere are the most important pre-requisite to our understanding of weather and climate. Numerical models of the atmosphere have revolutionized the preparation of weather forecasts, although rather than reducing the need for observations such models have increased awareness of the importance of data through assimilation schemes.

Indeed, the accuracy of forecasts relies crucially upon how well the initial state of the atmosphere can be described and this requires detailed measurements throughout the entire depth of the atmosphere. Over the last half century, the increasing availability of low cost computers and sensors has enabled a move away from a reliance on the collection of weather data at traditional sites and enclosures. However, perhaps the greatest contribution to improving accuracy in weather prediction and monitoring is the advent of new observing systems based on satellite and airborne platforms.

These technologies have completely revolutionized the networking of conventional meteorological instrumentation and have facilitated a colossal advance in both the spatial and temporal scale of weather measurement Chapman et. In view of the great benefit provided by spaceborne Earth-atmosphere remote sensing, there were strong efforts to construct Earth observing satellite systems in the past. During the following decades several satellite systems with different sensors provided data for a wide range of atmospheric parameters that enhanced our understanding of Earth-atmosphere processes and dynamics.

Nowadays, operational satellite systems provide invaluable measurements of atmospheric parameters at regular intervals on a global scale Thies and Bendix, All Rights Reserved. Home Project Information. Material for Download. Earth Observation in the frame of EO-MINERS - Overview of remote sensing methods, sensors and applications Remote sensing application Agriculture - Satellite and airborne images are used as mapping tools to classify crops, examine their health and viability, and monitor farming practices.

Antarctic sea ice concentration, ranging from 0 percent purple to percent white on 07 August Antarctica is shown in grey, and the unfrozen ocean is shown in dark blue. This satellite image depicts a daily snapshot of fall surface water temperature patterns on the Northeast U. Cooler temperatures are represented by darker colors shading to blue. Warmer temperatures, such as those associated with the Gulf Stream are represented by the warmer colors shading to red.

Meteorological parameters measured by remote sensing Radiation : Radiation energy and its spatio-temporal distribution is the driver for atmospheric dynamics. To understand weather and climate, measurements of the radiation that enters and leaves the Earth-atmosphere system are necessary.

Wind : Wind fields derived from satellites provide continuous area-wide information about atmospheric dynamics in a high spatial and temporal resolution. Such information is of great benefit as an input parameter for numerical weather prediction. Thus, atmospheric motion vectors, derived by tracking atmospheric features e. Water vapor : Water vapour is the principal greenhouse gas in the atmosphere and a key compound of the global climate. It is important for many atmospheric processes, such as radiative transfer, circulation dynamics, cloud formation, precipitation and the greenhouse effect.

Information about the distribution and variability of atmospheric water vapour is critical for understanding these processes controlling the Earth radiative budget and the hydrological cycle. Gasses : As a response on the increasing human impact on the evolution of the global climate and on the stratospheric ozone layer much effort has been made to understand the underlying chemical and physical processes and the role of anthropogenic gas emissions. To fulfill this objective there is a clear need for global observation of gas emissions and concentrations in the Earth atmosphere system.

Aerosols : Aerosols in the troposphere are a major climate forcing parameter, due to the direct and indirect aerosol effect. Despite this importance there are still significant uncertainties concerning the physical and optical properties of tropospheric aerosols and their interaction with global climate. This is mainly due to the inadequate quantitative knowledge of global aerosol characteristics and their temporal variability.

To evaluate the aerosol radiative effects together with the magnitude and the potential variability of the aerosol climate forcing it is therefore essential to monitor aerosols on the global scale. Clouds — identification and properties : identifying clouds in satellite imagery is an important first step in the retrieval of both surface and atmospheric properties. In the past, various cloud classification techniques have been developed for the different satellite systems and for a variety of purposes.

Typical cloud parameters that can be derived from satellite data and that are useful for such investigations comprise cloud-top height, cloud optical thickness, cloud effective particle radius, cloud liquid water path and cloud phase.

Precipitation : Precipitation is a key factor of the global water cycle and affects all aspects of human life. Because of its great importance and its high spatial and temporal variability, the correct spatio-temporal detection and quantification of precipitation has been one of the main goals of meteorological satellite missions.

Precipitation retrieval from satellite data can provide area-wide information in regions for which data from rain gauge or radar networks are sparse or unavailable Thies and Bendix,

Remote sensing

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Doll Published Geography. Night-time light imagery stands unique amongst remote sensing data sources as it offers a uniquely 'human' view of the Earth's surface. The presence of lighting across the globe is almost entirely due to some form of human activity be it settlements, shipping fleets, gas flaring or fires associated with swidden agriculture.

Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by:. In addition to original research papers, comprehensive review articles are welcome. Tutorial papers and brief papers containing significant new data or techniques, or commenting on previously published papers letters to the Editor , may be published as Short Communications. Elsevier working with researchers like you to build an understanding of the knowledge base related to the United Nations Sustainable Development Goals.

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object and thus is in contrast to on-site observation. The term is applied especially to acquiring information about the Earth. Remote sensing is used in numerous fields, including geography, land surveying and most Earth science disciplines for example, hydrology, ecology , meteorology, oceanography, glaciology, geology ; it also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others. In current usage, the term "remote sensing" generally refers to the use of satellite or aircraft-based sensor technologies to detect and classify objects on Earth. It includes the surface and the atmosphere and oceans , based on propagated signals e. It may be split into "active" remote sensing when a signal is emitted by a satellite or aircraft to the object and its reflection detected by the sensor and "passive" remote sensing when the reflection of sunlight is detected by the sensor. Passive sensors gather radiation that is emitted or reflected by the object or surrounding areas.

What is remote sensing and what is it used for?

Radars and lasers are breathtaking attributes of sci-fi movies no longer as it was just a few decades ago. These innovations have been widely used as types of sensors in remote sensing since science made a giant step ahead. Over the span of time, remote sensing technology found their applications in various spheres of human life.

Radars and lasers are breathtaking attributes of sci-fi movies no longer as it was just a few decades ago. These innovations have been widely used as types of sensors in remote sensing since science made a giant step ahead. Over the span of time, remote sensing technology found their applications in various spheres of human life.

Introduction and History of Space Remote Sensing

It seems that you're in Germany. We have a dedicated site for Germany. Editors: Srivastava , P. Remote Sensing Applications in Environmental Research is the basis for advanced Earth Observation EO datasets used in environmental monitoring and research. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models.

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its applications in India. Principles of Remote Sensing. Remote sensing is mainly concerned with the measurement or acquisition of.


Remote Sensing Applications in Environmental Research

What Is Active Remote Sensing?

Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. If you continue browsing the site, you agree to the use of cookies on this website. See our User Agreement and Privacy Policy. See our Privacy Policy and User Agreement for details. Published on Jan 14, Introduction -Remote means — far away ; Sensing means — believing or observing or acquiring some information. Remote sensing means acquiring information of things from a distance with sensors.

Once production of your article has started, you can track the status of your article via Track Your Accepted Article. Help expand a public dataset of research that support the SDGs. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by:. In addition to original research papers, comprehensive review articles are welcome. Tutorial papers and brief papers containing significant new data or techniques, or commenting on previously published papers letters to the Editor , may be published as Short Communications.

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Agriculture - Satellite and airborne images are used as mapping tools to classify crops, examine their health and viability, and monitor farming practices. Forestry - Forestry applications of remote sensing include the following:. Commercial forestry : Of importance to commercial forestry companies and to resource management agencies are inventory and mapping applications: collecting harvest information, updating of inventory information for timber supply, broad forest. Environmental monitoring : Conservation authorities are concerned with monitoring the quantity, health and diversity of the Earth's forests.

Handbook of Satellite Applications pp Cite as. This chapter introduces the subject of remote sensing both in terms of its technology and its many applications. Remote sensing via satellite has become a key service that is used in many civil applications such as agriculture, forestry, mining and prospecting for many types of resources , map making, research in geosciences, urban planning, and even land speculation.

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Remote Sensing Applications: Society and Environment

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