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

damen, m. c. j.

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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:: 856662364

Title:: Remote sensing for resources development and environmental management

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

Scope:: VI, Seiten 959-1074

Year of publication:: 2016

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856662364

Signature of the source:: ZS 312(26,7,3)

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:: Invited papers

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Remote sensing for non-renewable resources: Satellite and airborne multiband scanners for mineral exploration. Alexander F. H. Goetz

Document type:: Multivolume work

Structure type:: Chapter

IMO SCALE CHANCE 04 05 06 WAVELENGTH. IN MICROMETRES BERYL BKONZITE R1GE0NITE OLIVINE SRESSARTINE staurolite ANNABCRGITE chrysocolla almanoine RHOOOCHROSITE CORUNDUM MONAZITE limonite AUGITE CARNOTITE DUMORTlERiTE fluorite fluorite FLUORITE SULPHUR REALGAR STIBNITE ARSE N0PY RITE ATMOSPHERIC■ TRANSMISSION cth#dfOl F« in Al »<t« 6 fold Distorted octohod 6 fold Distorted octohod 6 fold Octoftedrol I Non-c«ntro 2C«rTro-fymm Ocfoh«drol-8 foM ■T«troh«drol GYPSUM NATROLITE MONTMORILLONITE QUARTZ MUSCOVITE PHLOGOPITE KAOLINITE AMPHIBOLE CALCITE AMBLYGONtTE COLEMANITE 0j.C03.H 2 0' ' I T 04 05 06 SCALE CHANGE-* WAVELENGTH. IN MICROMETRES Oj.COj.HjO Figure 1. Position and width of diagnostic spectral absorption features for common minerals in the 0.4-2.5 |im region (Hunt 1977). > 1 i OC o 700 em • • 10 11 12 13 WAVELENGTH, Wavelength (jjm) Figure 3. Emission spectra of the full range of igneous rock type showing the shift in position of the emissivity minimum when progressing from acidic to basic rock types (Lyon 1965). Figure 4. Spectra of coniferous trees growing in and around a sulfide zone. A blue shift in the red edge of the 0.68 }i.m chlorophyll absorption band is attributed to copper in the soil (Chang and Collins 1983) . Figure 2. Laboratory reflectance spectra of pure samples of common minerals showing diagnostic absorption features. Overtone bending/stretching vibrations for Al-OH (2.16-2.22 |lm) , Mg-OH (2.3-2.35 |lm) and CO3 (2.3-2.35 (lm) are seen. The bar TM7 designates the bandwidth of the 7th channel of the Landsat Thematic Mapper (Goetz et al. 1985). arrangement within the leaf and the hydration state. The transition between two regions is at approximately 0.7 jtm is characterized by the red edge of the chlorophyll absorption maximum. The exact position of the red edge is changed in plants influenced by geochemical stress as seen in Figure 4. 3 BROADBAND SENSORS transitions in carotenoid pigments, and the effects of these pigments become more pronounced when the amount of chlorophyll in the leaves decreases during senescence. In the regions 0.7-1.3 (im, the dominant feature is high, relative reflectance associated with leaf cell structure and is associated with the cellular Presently, the most extensively used spaceborne multispectral scanner is the Thematic Mapper. The Thematic Mapper extended coverage beyond the 1.0 (lm limitation of the Landsat MSS, and, therefore, provides data which is highly valuable for surface mineralogical mapping in mineral exploration. Table 1 shows the comparison of the band passes and other characteristics of TM and MSS. Table 1. Compar The Spectral Band 1 0.45- 2 0.52- 3 0.63- 4 0.76-C 5 1.55- 6 10.40-1 7 2.08- The Ground IFOV Data rate 8 Quantization levels 2 Weight Size 2 1 Power 3 The extended sj particularly u hydrous minera Abrams et al. broad band in t The region 8 . the airborne t (TIMS) (Kahle a: the only sue! multispectral For mineral € important role reststrahlen f<= diagnostic of materials. 4 NARROWBAND SE During the mid- spectral cover; necessary to information. spectroradiome provided mine mineral explor Collins spec proprietary sui The only nari in earth orbit Radiometer ( information in narrow spectra underneath the this experimer identification spectral band s 5 IMAGING SPEC! The results f development of defined as spectrometry is in a large num that each pictc it a complete Data is acquiri so that all the signal can be spectrum is sari the spectral materials. In nm intervals s 1985) . Simultaneous bands require; Sensors such ; (MSS or TM) <

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