Remote sensing data comes in two basic types, passively collected data. Passive data collection focuses on acquiring intensities of electromagnetic radiation generated by the sun and reflected off the surface of the planet. Active data collection is largely restricted to devices that send and generate a pulse of energy to that is reflected back to the satellite to be recorded.
Remote sensing are not able to get a complete coverage for these areas. With the advent of radar and microwave remote sensing these areas can now be fully covered without the veil of cloud cover due to the fact that radar has the ability to penetrate cloud cover with no interference. Application of multitemporal ers-1 data and sir-c/x-sar data.
Remote sensing are airborne sensors installed on fixed-wing planes or helicopters, as well as on various satellite sensors orbiting the earth. The airborne sensors are typically used to collect data on demand, when they are needed. Airborne data collection is most valuable for small areas, for specific events, to complement less detailed data, and for validation of data collected by satellite sensors over larger areas. Historical aerial photography archives can also be critical in change detection for periods before the widespread availability of satellite technology, which occurred in the mid-1970s. Remote sensing satellite systems for land cover assessment are operated by a growing number of countries, including Brazil, Canada, China, France, India, Japan, Russia, and the United States. Many satellites monitor the earth, with different sensors gathering different types of environmental data. The sensors acquire images of the earth and transmit them to ground receiving stations located throughout the world. Once these raw images are processed and analysed, indicators of biodiversity change can be assessed.
Remote sensing is mainly conducted for image processing and interpretation. Image processing allows things like air photos and satellite images to be manipulated so they fit various project uses and/or to create maps. By using image interpretation in remote sensing an area can be studied without being physically present there. The processing and interpretation of remote sensing images also has specific uses within various fields of study. In geology, for instance, remote sensing can be applied to analyze and map large, remote areas. Remote sensing interpretation also makes it easy for geologists in this case to identify an area's rock types,. , and changes from natural events such as a flood or landslide. Remote sensing is also helpful in studying vegetation types. Interpretation of remote sensing images allows physical and biogeographers, ecologists, those studying agriculture, and foresters to easily detect what vegetation is present in certain areas, its growth potential, and sometimes what conditions are conducive to its being there. Additionally, those studying urban and other land use applications are also concerned with remote sensing because it allows them to easily pick out which land uses are present in an area. This can then be used as data in city planning applications and the study of species habitat. In General remote sensing can be used in many application effectively.
Remote sensing are not able to get a complete coverage for these areas. With the advent of radar and microwave remote sensing these areas can now be fully covered without the veil of cloud cover due to the fact that radar has the ability to penetrate cloud cover with no interference. Application of multitemporal ers-1 data and sir-c/x-sar data.
ReplyDeleteRemote sensing are airborne sensors installed on fixed-wing planes or helicopters, as well as on various satellite sensors orbiting the earth. The airborne sensors are typically used to collect data on demand, when they are needed. Airborne data collection is most valuable for small areas, for specific events, to complement less detailed data, and for validation of data collected by satellite sensors over larger areas. Historical aerial photography archives can also be critical in change detection for periods before the widespread availability of satellite technology, which occurred in the mid-1970s. Remote sensing satellite systems for land cover assessment are operated by a growing number of countries, including Brazil, Canada, China, France, India, Japan, Russia, and the United States. Many satellites monitor the earth, with different sensors gathering different types of environmental data. The sensors acquire images of the earth and transmit them to ground receiving stations located throughout the world. Once these raw images are processed and analysed, indicators of biodiversity change can be assessed.
ReplyDeleteRemote sensing is mainly conducted for image processing and interpretation. Image processing allows things like air photos and satellite images to be manipulated so they fit various project uses and/or to create maps. By using image interpretation in remote sensing an area can be studied without being physically present there. The processing and interpretation of remote sensing images also has specific uses within various fields of study. In geology, for instance, remote sensing can be applied to analyze and map large, remote areas. Remote sensing interpretation also makes it easy for geologists in this case to identify an area's rock types,. , and changes from natural events such as a flood or landslide. Remote sensing is also helpful in studying vegetation types. Interpretation of remote sensing images allows physical and biogeographers, ecologists, those studying agriculture, and foresters to easily detect what vegetation is present in certain areas, its growth potential, and sometimes what conditions are conducive to its being there. Additionally, those studying urban and other land use applications are also concerned with remote sensing because it allows them to easily pick out which land uses are present in an area. This can then be used as data in city planning applications and the study of species habitat. In General remote sensing can be used in many application effectively.
ReplyDelete