Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: The application of remote sensing technology to natural resource investigation in semi-arid and arid regions. Ding Zhi

Document type:: Multivolume work

Structure type:: Chapter

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 419 The application of remote sensing technology to natural resource investigation in semi-arid and arid regions Ding Zhi Institute of Xinjiang Biology, Pedology, and Desert, Academia Sinica, China ABSTRACT: This paper is to clarify the method, principle, foundation, and results newly ob tained in terms of aerial and satellite remote sensing techniligy, which was used for the inve stigation of natural resources, such as forest,pasture, vegetation, soil and reeds in the mountains and the marshlands regions. Finally, mapped with a scale of 1:50‘,*000. TVio ac _ couracy of these maps were tested to be 92.3%. 1 Introduction Xinjiang is located in an arid and semi-arid area. Thus, it is easy to collect remote sen sing materials of better quality. Applying remote sensing technology in this region to investigate the natural resources fully de monstrates its superiority. In the past few years, we have utilized aerial and satellite sensing to investigate the mountainous re gions forests, grasslands, vegetation and soil, and the marshland reeds resources. 2 methods and principles First we use satellite photos of different times and different seasons and aerial mul- tispectral photos and conduct different band composition coherent covering, stacking, and ratio,etc. optical processing. And then, combine the processed satellite photos, the multispectral photos with the full colored, black and white aerial photos to set up the interpretation symbols and the indexing ca talogue. Finally, we explain the type and distribution of various natural resources visually, and draw specialized diagrams. All remote sensing images are pictures of ground objects reduced to certain proportion. The characteristics of the pictures reflec ted on the remote sensing images are formed mainly by the difference in information of the tone and form characteristics. The information of the characteristic of tone is the characteristic of quality and the energy of the electromagnetic spectrum of the ground objects reflecting on the re mote sensing images. Generally, the diffe rence in the energy of the electromagnetic waves recorded on the same remote images is mainly determied by the reflection rate of the spectrum of the ground objects. The theo retical formula:is . W =C K (x) • £ (x A, <?2 ,h >N H" 1 7' ,<iK K: the constant of changes with the wave length. £: the penetrating rate of the ground objec ts reflecting and radiating in the atmosphere N: the radiating illuminance of the direct sunlight and the skylight. P : the spectro-reflecting rate of the ground obj ects. However, on the same remote sensing image, K, Z, N can be used as a constant. Thus, the above-mentioned theoretical formula can be simplified as follows: W= K A.: the wavelength Or. the angle of elevation between the ground objects and the sensor ft: the aspect angle cj>: the angle of elevation of the sensor <j> t : the azimuth Also: D= K log ^ i is the positive) D= K log-^— (j_ s th e negative) D: the tone or density or the remote sensing images As in the same remote sensing image the difference in image tone of the adjacent two objects A and B are mainly determined by the difference of the energy of the electromag netic wave, that is by the difference in reflecting rate between them: iD - K w ^ los-£- w a , wh are the energy of the electromagnetic waves of A and B objects Pa, y Pt are the reflecting rates of A and B obj ects K w 2 a constant, which influences the other factors of the energy of the electromagne tic waves ip: a constant, which influences the other factors of the reflecting rate Therefore, according to the known density of the images and the reflecting rate of the spectrum on various ground objects, we can classify various ground objects from the remote sensing images. The information of the form characteris tics is in essence the spectrum of the ground o bjects reflecting the rules of the time and space of the ground objects, that is due to the difference in the composition of ob jects and undulation of the Earth's surface, the characteristics of the images are for med by the difference of electromagnetic energy reflecting the same band. The existan- ce and attributes of many objects can be de termined according to the form of their ima ges. As mentioned above, the information of the form and tone characteristics and the chara cteristics of the images as reflected by their combination on the remote sensing ima ges, which are the main foundations for es tablishing the explanatory sybols and in terpretation.

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