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PDF Quantitative Remote Sensing in Thermal Infrared: Theory and Applications

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His research areas include remote sensing and GIS applications, land use and crop modeling. He has published more than papers in international and Chinese scientific journals and has received a number of scien-tech innovation awards and honors including the corresponding member of Belgian Royal Academy of Overseas Science, President of the Chinese Society of Agricultural Resources and Regional Planning. Zhao-Liang Li received the Ph. His main expertise fields are in thermal infrared radiometry, parameterization of land surface processes at large scale, scaling change, as well as in the assimilation of satellite data to land surface models.

He has published more than papers in international refereed journals. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Buy eBook. Buy Hardcover.


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Buy Softcover. FAQ Policy. About this book This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. 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 a great deal of data handling overhead.

These data tend to be generally more useful for many applications.

Remote sensing

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. 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 With the exception of balloons, these first, individual images were not particularly useful for map making or for scientific purposes.

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.

INTRODUCTION

The development of artificial satellites in the latter half of the 20th century allowed remote sensing to progress to a global scale as of the end of the Cold War. Space probes to other planets have also provided the opportunity to conduct remote sensing studies in extraterrestrial environments, synthetic aperture radar aboard 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 s and s with the development of image processing of satellite imagery. 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. Furthermore, remote sensing exceedingly influences everyday life, ranging from weather forecasts to reports on climate change or natural disasters. But studies have shown that only a fraction of them know more about the data they are working with. Remote sensing only plays a tangential role in schools, regardless of the political claims to strengthen the support for teaching on the subject.

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 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. 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.

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Remote sensing software packages include:. In education, those that want to go beyond simply looking at satellite images print-outs either use general remote sensing software e. Such satellite images are still used, for instance as input for numerical weather forecast. For example, the light at the shortest wavelengths has only 'seen' the highest parts of the O 3 layer whereas the longest wavelengths have seen the total column. The big breakthrough [ according to whom? Thus it is only sensitive to the total O 3 column instead of the O 3 profile. This period in particular includes the discovery of the ozone hole.

Several further TOMS instruments have been launched on other satellites. Like the Dobson instruments on the ground they yield very accurate O 3 total column densities using a relatively simple method.

Besides events of very strong atmospheric SO 2 absorption and aerosols they are, however, only sensitive to O 3. Global coverage is achieved after three days. For the determination of the total atmospheric O 3 column the intensities at larger wavelengths are used TOMS instruments.

In addition other quantities like aerosol absorptions, the ground albedo or indices characterising the solar cycle can be analysed.


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A further important advantage is that the GOME spectra can be analysed with respect to a spectrum of direct sun light, which contains no atmospheric absorptions. It also operated in additional viewing modes nadir, limb, occultation , which allows to derive stratospheric trace gas profiles. Especially for the observation of tropospheric trace gases this is very important because of the strong spatial gradients occurring for such species.

From Wikipedia, the free encyclopedia. This is the latest accepted revision , reviewed on 4 September For other uses, see Remote sensing disambiguation. Acquisition of information at a significant distance from the subject. Play media. Further information: Remote sensing geology and Remote sensing archaeology. This section does not cite any sources. Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. August Learn how and when to remove this template message.

Main article: Remote sensing software. This section may have been copied and pasted from another location, possibly in violation of Wikipedia's copyright policy.

Quantitative Remote Sensing in Thermal Infrared - Theory and Applications | Huajun Tang | Springer

Please be sure that the supposed source of the copyright violation is not itself a Wikipedia mirror. May Remote sensing: models and methods for image processing 3rd ed. Academic Press. Remote sensing: the image chain approach 2nd ed. Oxford University Press.

Thermal Infrared Remote Sensing

Journal of Applied Remote Sensing. Bibcode : JARS SPIE Professional. Retrieved 1 January Archived from the original on 29 September Retrieved 18 February July Proceedings of the International Conference on International Fusion [6th].