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69-466: The mission of SRTI-BAS is to conduct fundamental and applied studies in the field of Space Physics, Remote Sensing of the Earth and Planets, and Aerospace Systems and Technologies. The field of activity of SRTI ranges over fundamental and applied investigations in space physics, astrophysics, image processing, remote sensing , life sciences, scientific equipment, preparation and implementation of experiments in

138-680: A 977 "country code" (compare the 978 country code (" bookland ") for ISBNs ), followed by the 7 main digits of the ISSN (the check digit is not included), followed by 2 publisher-defined digits, followed by the EAN check digit (which need not match the ISSN check digit). ISSN codes are assigned by a network of ISSN National Centres, usually located at national libraries and coordinated by the ISSN International Centre based in Paris . The International Centre

207-816: A Resolution of the General Assembly of the BAS of 23 March 2010, the SRI and the Solar-Terrestrial Influences Institute (STII) merged to form a new unit – the Space and Solar-Terrestrial Research Institute at the BAS (SSTRI–BAS) renamed in 2012 to Space Research and Technology Institute (SRTI). Bulgarian scientists from SRTI-BAS successfully participated in the Intercosmos program, preparing experiments and designing equipment for several satellites and rockets. In 1979,

276-642: A degree or two with electronic compasses. Compasses can measure not just azimuth (i. e. degrees to magnetic north), but also altitude (degrees above the horizon), since the magnetic field curves into the Earth at different angles at different latitudes. More exact orientations require gyroscopic-aided orientation , periodically realigned by different methods including navigation from stars or known benchmarks. The quality of remote sensing data consists of its spatial, spectral, radiometric and temporal resolutions. In order to create sensor-based maps, most remote sensing systems expect to extrapolate sensor data in relation to

345-554: A great deal of data handling overhead. These data tend to be generally more useful for many applications. The regular spatial and temporal organization of Level 3 datasets makes it feasible to readily combine data from different sources. While these processing levels are particularly suitable for typical satellite data processing pipelines, other data level vocabularies have been defined and may be appropriate for more heterogeneous workflows. Satellite images provide very useful information to produce statistics on topics closely related to

414-825: A large extent of geography. At the same time, the data is often complex to interpret, and bulky to store. Modern systems tend to store the data digitally, often with lossless compression . The difficulty with this approach is that the data is fragile, the format may be archaic, and the data may be easy to falsify. One of the best systems for archiving data series is as computer-generated machine-readable ultrafiche , usually in typefonts such as OCR-B , or as digitized half-tone images. Ultrafiches survive well in standard libraries, with lifetimes of several centuries. They can be created, copied, filed and retrieved by automated systems. They are about as compact as archival magnetic media, and yet can be read by human beings with minimal, standardized equipment. Generally speaking, remote sensing works on

483-484: A legend of mapped classes that suits our purpose, taking again the example of wheat. The straightforward approach is counting the number of pixels classified as wheat and multiplying by the area of each pixel. Many authors have noticed that estimator is that it is generally biased because commission and omission errors in a confusion matrix do not compensate each other The main strength of classified satellite images or other indicators computed on satellite images

552-472: A reference point including distances between known points on the ground. This depends on the type of sensor used. For example, in conventional photographs, distances are accurate in the center of the image, with the distortion of measurements increasing the farther you get from the center. Another factor is that of the platen against which the film is pressed can cause severe errors when photographs are used to measure ground distances. The step in which this problem

621-679: A sample with less accurate, but exhaustive, data for a covariable or proxy that is cheaper to collect. For agricultural statistics, field surveys are usually required, while photo-interpretation may better for land cover classes that can be reliably identified on aerial photographs or high resolution satellite images. Additional uncertainty can appear because of imperfect reference data (ground truth or similar). Some options are: ratio estimator , regression estimator , calibration estimators and small area estimators If we target other variables, such as crop yield or leaf area , we may need different indicators to be computed from images, such as

690-632: Is C =5. To calculate the check digit, the following algorithm may be used: 0 ⋅ 8 + 3 ⋅ 7 + 7 ⋅ 6 + 8 ⋅ 5 + 5 ⋅ 4 + 9 ⋅ 3 + 5 ⋅ 2 = 0 + 21 + 42 + 40 + 20 + 27 + 10 = 160 . {\displaystyle {\begin{aligned}&0\cdot 8+3\cdot 7+7\cdot 6+8\cdot 5+5\cdot 4+9\cdot 3+5\cdot 2\\&=0+21+42+40+20+27+10\\&=160\;.\end{aligned}}} The remainder of this sum modulo 11

759-476: Is an intergovernmental organization created in 1974 through an agreement between UNESCO and the French government. ISSN-L is a unique identifier for all versions of the serial containing the same content across different media. As defined by ISO 3297:2007 , the "linking ISSN (ISSN-L)" provides a mechanism for collocation or linking among the different media versions of the same continuing resource. The ISSN-L

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828-519: Is an eight-digit serial number used to uniquely identify a serial publication (periodical), such as a magazine. The ISSN is especially helpful in distinguishing between serials with the same title. ISSNs are used in ordering, cataloging, interlibrary loans, and other practices in connection with serial literature. The ISSN system was first drafted as an International Organization for Standardization (ISO) international standard in 1971 and published as ISO 3297 in 1975. ISO subcommittee TC 46/SC 9

897-532: Is entirely in English, with summaries in Bulgarian or Russian. Remote sensing This is an accepted version of this page Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation . The term is applied especially to acquiring information about Earth and other planets . Remote sensing

966-604: Is impossible to directly measure temperatures in the upper atmosphere, it is possible to measure the spectral emissions from a known chemical species (such as carbon dioxide) in that region. The frequency of the emissions may then be related via thermodynamics to the temperature in that region. To facilitate the discussion of data processing in practice, several processing "levels" were first defined in 1986 by NASA as part of its Earth Observing System and steadily adopted since then, both internally at NASA (e. g., ) and elsewhere (e. g., ); these definitions are: A Level 1 data record

1035-471: Is not freely available for interrogation on the web, but is available by subscription. ISSN and ISBN codes are similar in concept, where ISBNs are assigned to individual books . An ISBN might be assigned for particular issues of a serial, in addition to the ISSN code for the serial as a whole. An ISSN, unlike the ISBN code, is an anonymous identifier associated with a serial title, containing no information as to

1104-472: Is one of a serial's existing ISSNs, so does not change the use or assignment of "ordinary" ISSNs; it is based on the ISSN of the first published medium version of the publication. If the print and online versions of the publication are published at the same time, the ISSN of the print version is chosen as the basis of the ISSN-L . With ISSN-L is possible to designate one single ISSN for all those media versions of

1173-418: Is providing cheap information on the whole target area or most of it. This information usually has a good correlation with the target variable (ground truth) that is usually expensive to observe in an unbiased and accurate way. Therefore it can be observed on a probabilistic sample selected on an area sampling frame . Traditional survey methodology provides different methods to combine accurate information on

1242-450: Is relevant to highlight that probabilistic sampling is not critical for the selection of training pixels for image classification, but it is necessary for accuracy assessment of the classified images and area estimation. Additional care is recommended to ensure that training and validation datasets are not spatially correlated. We suppose now that we have classified images or a land cover map produced by visual photo-interpretation, with

1311-432: Is resolved is called georeferencing and involves computer-aided matching of points in the image (typically 30 or more points per image) which is extrapolated with the use of an established benchmark, "warping" the image to produce accurate spatial data. As of the early 1990s, most satellite images are sold fully georeferenced. In addition, images may need to be radiometrically and atmospherically corrected. Interpretation

1380-462: Is responsible for maintaining the standard. When a serial with the same content is published in more than one media type , a different ISSN is assigned to each media type. For example, many serials are published both in print and electronic media . The ISSN system refers to these types as print ISSN ( p-ISSN ) and electronic ISSN ( e-ISSN ). Consequently, as defined in ISO 3297:2007, every serial in

1449-489: Is that of examined areas or objects that reflect or emit radiation that stand out from surrounding areas. For a summary of major remote sensing satellite systems see the overview table. To coordinate a series of large-scale observations, most sensing systems depend on the following: platform location and the orientation of the sensor. High-end instruments now often use positional information from satellite navigation systems . The rotation and orientation are often provided within

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1518-402: Is that of increasingly smaller sensor pods such as those used by law enforcement and the military, in both manned and unmanned platforms. The advantage of this approach is that this requires minimal modification to a given airframe. Later imaging technologies would include infrared, conventional, Doppler and synthetic aperture radar. The development of artificial satellites in the latter half of

1587-440: Is the critical process of making sense of the data. The first application was that of aerial photographic collection which used the following process; spatial measurement through the use of a light table in both conventional single or stereographic coverage, added skills such as the use of photogrammetry, the use of photomosaics, repeat coverage, Making use of objects' known dimensions in order to detect modifications. Image Analysis

1656-560: Is the most fundamental (i. e., highest reversible level) data record that has significant scientific utility, and is the foundation upon which all subsequent data sets are produced. Level 2 is the first level that is directly usable for most scientific applications; its value is much greater than the lower levels. Level 2 data sets tend to be less voluminous than Level 1 data because they have been reduced temporally, spatially, or spectrally. Level 3 data sets are generally smaller than lower level data sets and thus can be dealt with without incurring

1725-424: Is the recently developed automated computer-aided application that is in increasing use. Object-Based Image Analysis (OBIA) is a sub-discipline of GIScience devoted to partitioning remote sensing (RS) imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scale. Old data from remote sensing is often valuable because it may provide the only long-term data for

1794-490: Is then calculated: 160 11 = 14  remainder  6 = 14 + 6 11 {\displaystyle {\frac {160}{11}}=14{\mbox{ remainder }}6=14+{\frac {6}{11}}} If there is no remainder, the check digit is 0; otherwise the remainder is subtracted from 11. If the result is less than 10, it yields the check digit: 11 − 6 = 5 . {\displaystyle 11-6=5\;.} Thus, in this example,

1863-410: Is used in numerous fields, including geophysics , geography , land surveying and most Earth science disciplines (e.g. exploration geophysics , 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

1932-598: The Amazon Basin , glacial features in Arctic and Antarctic regions, and depth sounding of coastal and ocean depths. Military collection during the Cold War made use of stand-off collection of data about dangerous border areas. Remote sensing also replaces costly and slow data collection on the ground, ensuring in the process that areas or objects are not disturbed. Orbital platforms collect and transmit data from different parts of

2001-1013: The EGU or Digital Earth encourage the development of learning modules and learning portals . Examples include: FIS – Remote Sensing in School Lessons , Geospektiv , Ychange , or Spatial Discovery, to promote media and method qualifications as well as independent learning. Remote sensing data are processed and analyzed with computer software, known as a remote sensing application . A large number of proprietary and open source applications exist to process remote sensing data. There are applications of gamma rays to mineral exploration through remote sensing. In 1972 more than two million dollars were spent on remote sensing applications with gamma rays to mineral exploration. Gamma rays are used to search for deposits of uranium. By observing radioactivity from potassium, porphyry copper deposits can be located. A high ratio of uranium to thorium has been found to be related to

2070-547: The European Commission . Forest area and deforestation estimation have also been a frequent target of remote sensing projects, the same as land cover and land use Ground truth or reference data to train and validate image classification require a field survey if we are targetting annual crops or individual forest species, but may be substituted by photointerpretation if we look at wider classes that can be reliably identified on aerial photos or satellite images. It

2139-571: The Magellan spacecraft provided detailed topographic maps of Venus , while instruments aboard SOHO allowed studies to be performed on the Sun and the solar wind , just to name a few examples. Recent developments include, beginning in the 1960s and 1970s, the development of image processing of satellite imagery . The use of the term "remote sensing" began in the early 1960s when Evelyn Pruitt realized that advances in science meant that aerial photography

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2208-527: The MetOp spacecraft of EUMETSAT are all operated at altitudes of about 800 km (500 mi). The Proba-1 , Proba-2 and SMOS spacecraft of European Space Agency are observing the Earth from an altitude of about 700 km (430 mi). The Earth observation satellites of UAE, DubaiSat-1 & DubaiSat-2 are also placed in Low Earth orbits (LEO) orbits and providing satellite imagery of various parts of

2277-533: The NDVI , a good proxy to chlorophyll activity. The modern discipline of remote sensing arose with the development of flight. The balloonist G. Tournachon (alias Nadar ) made photographs of Paris from his balloon in 1858. Messenger pigeons, kites, rockets and unmanned balloons were also used for early images. With the exception of balloons, these first, individual images were not particularly useful for map making or for scientific purposes. Systematic aerial photography

2346-584: The digital object identifier (DOI), an ISSN-independent initiative, consolidated in the 2000s. Only later, in 2007, ISSN-L was defined in the new ISSN standard (ISO 3297:2007) as an "ISSN designated by the ISSN Network to enable collocation or versions of a continuing resource linking among the different media". An ISSN can be encoded as a uniform resource name (URN) by prefixing it with " urn:ISSN: ". For example, Rail could be referred to as " urn:ISSN:0953-4563 ". URN namespaces are case-sensitive, and

2415-615: The electromagnetic spectrum , which in conjunction with larger scale aerial or ground-based sensing and analysis, provides researchers with enough information to monitor trends such as El Niño and other natural long and short term phenomena. Other uses include different areas of the earth sciences such as natural resource management , agricultural fields such as land usage and conservation, greenhouse gas monitoring , oil spill detection and monitoring, and national security and overhead, ground-based and stand-off collection on border areas. The basis for multispectral collection and analysis

2484-401: The print and electronic media versions of a serial need separate ISSNs, and CD-ROM versions and web versions require different ISSNs. However, the same ISSN can be used for different file formats (e.g. PDF and HTML ) of the same online serial. This "media-oriented identification" of serials made sense in the 1970s. In the 1990s and onward, with personal computers, better screens, and

2553-656: The publisher or its location . For this reason a new ISSN is assigned to a serial each time it undergoes a major title change. Since the ISSN applies to an entire serial, other identifiers have been built on top of it to allow references to specific volumes, articles, or other identifiable components (like the table of contents ): the Publisher Item Identifier (PII) and the Serial Item and Contribution Identifier (SICI). Separate ISSNs are needed for serials in different media (except reproduction microforms ). Thus,

2622-490: The 'Publishing activity' section of SRTI-BAS website . The Aerospace Research in Bulgaria journal was founded in 1978 under the name Space Research in Bulgaria . Its founder and first editor was Acad. Kiril Serafimov (1978–1990). Over the years, editors were Prof. Boris Bonev (1991–1996), Prof. Nikola Georgiev (1996–2006), and Prof. Garo Mardirossian (2006–until now). The Journal has been changing its name two times. Firstly, it

2691-613: The 20th century allowed remote sensing to progress to a global scale as of the end of the Cold War. Instrumentation aboard various Earth observing and weather satellites such as Landsat , the Nimbus and more recent missions such as RADARSAT and UARS provided global measurements of various data for civil, research, and military purposes. Space probes to other planets have also provided the opportunity to conduct remote sensing studies in extraterrestrial environments, synthetic aperture radar aboard

2760-534: The Earth. To get global coverage with a low orbit, a polar orbit is used. A low orbit will have an orbital period of roughly 100 minutes and the Earth will rotate around its polar axis about 25° between successive orbits. The ground track moves towards the west 25° each orbit, allowing a different section of the globe to be scanned with each orbit. Most are in Sun-synchronous orbits . ISSN (identifier) An International Standard Serial Number ( ISSN )

2829-474: The German students use the services of Google Earth ; in 2006 alone the software was downloaded 100 million times. But studies have shown that only a fraction of them know more about the data they are working with. There exists a huge knowledge gap between the application and the understanding of satellite images. Remote sensing only plays a tangential role in schools, regardless of the political claims to strengthen

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2898-597: The ISSN namespace is all caps. If the checksum digit is "X" then it is always encoded in uppercase in a URN. The URNs are content-oriented , but ISSN is media-oriented: A unique URN for serials simplifies the search, recovery and delivery of data for various services including, in particular, search systems and knowledge databases . ISSN-L (see Linking ISSN above) was created to fill this gap. The two standard categories of media in which serials are most available are print and electronic . In metadata contexts (e.g., JATS ), these may have standard labels. p-ISSN

2967-451: The ISSN system is also assigned a linking ISSN ( ISSN-L ), typically the same as the ISSN assigned to the serial in its first published medium, which links together all ISSNs assigned to the serial in every medium. An ISSN is an eight-digit code, divided by a hyphen into two four-digit numbers. The last digit, which may be zero through nine or an X, is a check digit , so the ISSN is uniquely represented by its first seven digits. Formally,

3036-475: The Web, it makes sense to consider only content , independent of media. This "content-oriented identification" of serials was a repressed demand during a decade, but no ISSN update or initiative occurred. A natural extension for ISSN, the unique-identification of the articles in the serials, was the main demand application. An alternative serials' contents model arrived with the indecs Content Model and its application,

3105-425: The area of space exploration and usage from the board of automatic and piloted spacecraft, investigation on control systems, air- and spacecraft and equipment for them, activity for creation of cosmic materials and technologies and their transfer in the national economy, education of post-graduate students and master's degrees. The organized participation of Bulgarian scientists in space research started in 1969 with

3174-456: The check digit C is 5. To confirm the check digit, calculate the sum of all eight digits of the ISSN multiplied by their position in the number, counting from the right. (If the check digit is X, add 10 to the sum.) The remainder of the sum modulo 11 must be 0. There is an online ISSN checker that can validate an ISSN, based on the above algorithm. ISSNs can be encoded in EAN-13 bar codes with

3243-690: The creation of a Scientific Group of Space Physics (SGSP) at the Presidium of the Bulgarian Academy of Sciences. In 1974, based on the SGSP, the Central Laboratory for Space Research (CLSR) was founded. The Space Research Institute (SRI) at the Bulgarian Academy of Sciences succeeded the Central Laboratory for Space Research in 1987. Under the reform carried out at the Bulgarian Academy of Sciences, by

3312-495: The discovery of the Earth's Van Allen radiation belts . The TIROS-1 spacecraft, launched on April 1, 1960, as part of NASA's Television Infrared Observation Satellite (TIROS) program, sent back the first television footage of weather patterns to be taken from space. In 2008, more than 150 Earth observation satellites were in orbit, recording data with both passive and active sensors and acquiring more than 10 terabits of data daily. By 2021, that total had grown to over 950, with

3381-625: The farmer who plants his fields in a remote corner of the country knows its value." The development of remote sensing technology reached a climax during the Cold War with the use of modified combat aircraft such as the P-51 , P-38 , RB-66 and the F-4C , or specifically designed collection platforms such as the U2/TR-1 , SR-71 , A-5 and the OV-1 series both in overhead and stand-off collection. A more recent development

3450-417: The fields of media and methods apart from the mere visual interpretation of satellite images. Many teachers have great interest in the subject "remote sensing", being motivated to integrate this topic into teaching, provided that the curriculum is considered. In many cases, this encouragement fails because of confusing information. In order to integrate remote sensing in a sustainable manner organizations like

3519-446: The first Bulgarian cosmonaut Georgi Ivanov flew in space on board of Soyuz 33 . In 1981 two satellites were launched - Bulgaria 1300 and Meteor-Priroda 2-4 ( Meteor 1-31 ), furnished entirely with Bulgarian equipment, aimed at studying the ionospheric-magnetospheric relationship and remote sensing of the Earth from space. In 1984 teams from SRTI-BAS took part in the international projects "Vega 1 and 2" (1984) – for realization of

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3588-581: The first commercial satellite (IKONOS) collecting very high resolution imagery was launched. Remote Sensing has a growing relevance in the modern information society. It represents a key technology as part of the aerospace industry and bears increasing economic relevance – new sensors e.g. TerraSAR-X and RapidEye are developed constantly and the demand for skilled labour is increasing steadily. Furthermore, remote sensing exceedingly influences everyday life, ranging from weather forecasts to reports on climate change or natural disasters . As an example, 80% of

3657-405: The general form of the ISSN (also named "ISSN structure" or "ISSN syntax") can be expressed as follows: where N is in the set { 0,1,2,...,9 }, a decimal digit character, and C is in { 0,1,2,...,9,X }; or by a Perl Compatible Regular Expressions (PCRE) regular expression : For example, the ISSN of the journal Hearing Research , is 0378-5955, where the final 5 is the check digit, that

3726-461: The largest number of satellites operated by US-based company Planet Labs . Most Earth observation satellites carry instruments that should be operated at a relatively low altitude. Most orbit at altitudes above 500 to 600 kilometers (310 to 370 mi). Lower orbits have significant air-drag , which makes frequent orbit reboost maneuvers necessary. The Earth observation satellites ERS-1, ERS-2 and Envisat of European Space Agency as well as

3795-459: The launch of the first artificial satellite, Sputnik 1 , by the Soviet Union on October 4, 1957. Sputnik 1 sent back radio signals, which scientists used to study the ionosphere . The United States Army Ballistic Missile Agency launched the first American satellite, Explorer 1 , for NASA's Jet Propulsion Laboratory on January 31, 1958. The information sent back from its radiation detector led to

3864-522: The other hand, emits energy in order to scan objects and areas whereupon a sensor then detects and measures the radiation that is reflected or backscattered from the target. RADAR and LiDAR are examples of active remote sensing where the time delay between emission and return is measured, establishing the location, speed and direction of an object. Remote sensing makes it possible to collect data of dangerous or inaccessible areas. Remote sensing applications include monitoring deforestation in areas such as

3933-848: The presence of hydrothermal copper deposits. Radiation patterns have also been known to occur above oil and gas fields, but some of these patterns were thought to be due to surface soils instead of oil and gas. An Earth observation satellite or Earth remote sensing satellite is a satellite used or designed for Earth observation (EO) from orbit , including spy satellites and similar ones intended for non-military uses such as environmental monitoring , meteorology , cartography and others. The most common type are Earth imaging satellites, that take satellite images , analogous to aerial photographs ; some EO satellites may perform remote sensing without forming pictures, such as in GNSS radio occultation . The first occurrence of satellite remote sensing can be dated to

4002-412: The principle of the inverse problem : while the object or phenomenon of interest (the state ) may not be directly measured, there exists some other variable that can be detected and measured (the observation ) which may be related to the object of interest through a calculation. The common analogy given to describe this is trying to determine the type of animal from its footprints. For example, while it

4071-502: The project "Venus-Halley's Comet". In 1988 the second Bulgarian cosmonaut Alexandar Alexsandrov flew on board Soyuz TM-5 to the Mir space station. "Active" (1989) – for determination of the electrostatic field around a satellite, the development of apparatus "VSK- FREGAT" (1989) – which transmit images of the Phobos satellite of Mars , within the "Phobos" Program . In the institute was created

4140-538: The recent years the institute is actively included in competitions on the 6th, 7th, and Horizon 2020 framework programmes of the EU, PHARE programme, NATO , etc. Since 2004 SRTI-BAS is organizing an annual conference "Space, Ecology, Safety" which proceedings (ISSN ) can be found on the SRTI-BAS website . Few more workshops and conferences were organized by STIL-BAS before the reform in 2010. Their proceedings can also be found in

4209-500: The reflection of sunlight is detected by the sensor). Remote sensing can be divided into two types of methods: Passive remote sensing and Active remote sensing. Passive sensors gather radiation that is emitted or reflected by the object or surrounding areas. Reflected sunlight is the most common source of radiation measured by passive sensors. Examples of passive remote sensors include film photography , infrared , charge-coupled devices , and radiometers . Active collection, on

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4278-466: The space greenhouse " SVET ", with which successful experiments were carried out by Russian and American astronauts, including the cultivation of plants from "seed to seed" of the Space Station (SS) "MIR". Until 2001 on board of the "MIR" SS worked and the system for complex physiological study of astronauts "NEVROLAB-B" and "R-400" radiometer to obtain data on the parameters of the Earth's surface. In

4347-423: The support for teaching on the subject. A lot of the computer software explicitly developed for school lessons has not yet been implemented due to its complexity. Thereby, the subject is either not at all integrated into the curriculum or does not pass the step of an interpretation of analogue images. In fact, the subject of remote sensing requires a consolidation of physics and mathematics as well as competences in

4416-615: The territory, such as agriculture, forestry or land cover in general. The first large project to apply Landsata 1 images for statistics was LACIE (Large Area Crop Inventory Experiment), run by NASA, NOAA and the USDA in 1974–77. Many other application projects on crop area estimation have followed, including the Italian AGRIT project and the MARS project of the Joint Research Centre (JRC) of

4485-625: The title. The use of ISSN-L facilitates search, retrieval and delivery across all media versions for services like OpenURL , library catalogues , search engines or knowledge bases . The International Centre maintains a database of all ISSNs assigned worldwide, the ISDS Register (International Serials Data System), otherwise known as the ISSN Register . At the end of 2016, the ISSN Register contained records for 1,943,572 items. The Register

4554-422: 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.g. electromagnetic radiation ). It may be split into "active" remote sensing (when a signal is emitted by a satellite or aircraft to the object and its reflection is detected by the sensor) and "passive" remote sensing (when

4623-579: Was developed for military surveillance and reconnaissance purposes beginning in World War I . After WWI, remote sensing technology was quickly adapted to civilian applications. This is demonstrated by the first line of a 1941 textbook titled "Aerophotography and Aerosurverying," which stated the following: "There is no longer any need to preach for aerial photography-not in the United States- for so widespread has become its use and so great its value that even

4692-449: Was issued under Space Research in Bulgaria ( ISSN   0204-9104 , No. 1–8), from No. 9 to No. 15 its name was changed to “Аерокосмически изследвания в България” ( ISSN   0861-1432 ) continuing the policy from the first issues to publish in Bulgarian, Russian, and English. Since 2001, the journal name was changed to Aerospace Research in Bulgaria (No. 16-, ISSN   1313-0927 , e ISSN   2367-9522 ) and its content

4761-548: Was no longer an adequate term to describe the data streams being generated by new technologies. With assistance from her fellow staff member at the Office of Naval Research, Walter Bailey, she coined the term "remote sensing". Several research groups in Silicon Valley including NASA Ames Research Center , GTE , and ESL Inc. developed Fourier transform techniques leading to the first notable enhancement of imagery data. In 1999

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