XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

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

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: STUDY ON OIL-GAS RESERVOIR DETECTING METHODS USING HYPERSPECTRAL REMOTE SENSING Qingjiu Tian

Document type:: Multivolume work

Structure type:: Chapter

reflectance 000 1 : ; : A ; s ; ; 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 Wavelength (nm) CREAR 200m: PRA Ü 5m 1.8m PEE SAN 1.50% so Z Om N 235m —--40mi ---- 45m seen D pb eee BEOmb 0 85m - 9.0mi Figure l. Comparison of different amount of crude oil in soil spectrums Deducing from the above analysis that when the content of crude oil in soil is little, the diagnose characteristic of double absorption at 1748nm and 2330nm for petroleum hydrocarbons in soil is very weak or not, and vulnerable to be interfered by other soil composition, so that reduces the accuracy of detection result using the feature for petroleum hydrocarbons in soil; when the crude oil is up to certain amount, it can make a hyperspectural remote sensing detection for soil with petroleum hydrocarbons using the diagnosis characteristic of spectrum. 2. Hyperion Images Processing and Analysis As the analysis method for hyperspectral data developed by AlG(Analytical Imaging and Geophysics LLC), we select 196 independent valid bands from the original 242 bands; get rid of 22 bands affected strongly by vapour within the spectrum range around 1356-1417nm, 1820-1932nm and over 2395nm. Checking out the remain 175 bands one by one, and repairing the bad line with average on its adjacent columns or rows; removing the serious strip abnormal in some bands(especially SWIR band) using global balance method; correcting the smile effect in images by minimal noise transformation; convert the radiation image calibrated into apparent reflectance image with ENVI FLAASH atmosphere correction module; at last, based on the Landsat7 ETM image in the same coverage area, choosing the ground control points(97 points)by interactive method and correcting Hyperion image with a correct polynomial by the most neighboring sampling and control the precision within half of a pixel. Extracting some spectrum of typical pixels in the SeBei gas field from the Hyperion reflectance image. The following features can be known: (1) water absorption at 1.35um and 0.93um is very obvious, the water absorption at 1.4um and 1.9um is strong and wide, and these water bands have large influence on neighbouring data; (2) the absorption feature of ferric ion is visible at 0.5um and0.7um, and the absorption bands of water and oxygen result in less obvious performance for the absorption ferrous ion; (3) the absorption of hydroxyl ion at 2.2 is obvious; (4) carbonate ion absorption at 2.31- 2.35um is evident, and some curves show the double absorption feature at 2.31um and 2.35um; and this show the absorption feature of Hydrocarbon key(C-H)within the bands; (5) the absorption of hydro carbons occur within bands range from 1.72 to 1.75um; but is not obvious, as the content hydro carbons in soil is small, and the presence of mixed pixel due to the low spatial resolution of 30m. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 2.4 The Extraction of Hydrocarbon Information Using Hyperion data The hydrocarbon microseepage information of oil/gas deposits either onshore or offshore can be directly detected using hyperspectral remote sensing data, of which identifying the distinct absorption features related to micoseepage is the key element. Taking full advantage of remote sensing technology, microseepage information can be determined through the spectral absorption signature in the above surface. The established ^ Three-Band-Ratio algorithm amplifies the absorptive signature, which utilizes the ratio of the spectral absorption feature in 1748nm or 2330nm (point b and reflectance: Rb) of hydrocarbon in soil and the reflectance (Ra, Rc) of two points (a, c) in the shoulder of the above absorption feature. The ratio can be calculated as follows: HI = (4, roi UR zR, 1) Ac — À Where Ra; Aa, Rc;Ac= the reflectance/wavelength pairs for the two shoulder points of the absorption feature. Values of HI can be a good indicator of hydrocarbon microseepage information: if HI>0, the value means the existence of hydrocarbon microseepage; additionally, the lager the value, the lager the hydrocarbon concentration it represent. Based on the Three-Band-Ratio algorithm and Absorption- Depth method noted above, Remote Sensing images are used to explore the presence of hydrocarbon. For Hyperion data, the reflectance values for Aa, Ab, Ac, wavelengths of 1699.4nm, 1729.7nm, and 1749.79nm are chose respectively. The values of HI result from the Hyperion hyperspectral data (EO1H1370342005223110KV.L1R) required in august 11th, 2005 are shown in Figure2 (a), and Figure2 (b). Results of the two methods are almost consistent comparing the images: high values locating in the Camelback Mountain gas-bearing structure-north part of our study area as well as a nearly linear distribution along with the Camelback Mountain structure. Additionally, there also exist some high value points in area of SeBei Gas Field. Since human eyes are more sensitive to color hues than to gray tones, a colorful hydrocarbon microseepage image is composited using bandl55 (1699.4nm), band165 (1800.29nm) and the above calculated HI gray image (Figure2(c)). In the Figure 2, Blue hues which express the information of hydrocarbon, indicate that the deeper of the its hue, the more hydrocarbon microseepage concentration. Image Figure 2(c) shows that hydrocarbon microseepage areas, for which the blue hue region of the image stands, located obviously in two areas: the south SeBei Gas Field and the North Camelback Mountain gas-bearing structure of the study area. Given that hydrocarbon, concentration might be high in soil near Gas Field, and it is reasonable that there might be obviously hydrocarbon microseepage along the Camelback Mountain gas-bearing structure fraction, information concluded from the calculation coincides well with known the natural gas and anomaly gas distribution.

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