Remote sensing and spectral characteristics of desert sand from Qatar Peninsula, Arabian/Persian Gulf

Remote Sensing

Volumn 1, Issue 4, 2009, Pages 915-933

  Sadiq, Abdulali ^a   Howari, Fares ^b  

^a QATAR UNIVERSITY   (Qatar)

^b UNIVERSITY OF TEXAS OF THE PERMIAN BASIN   (United States)

Author keywords

Landsat; Qatar; Quaternary geology; Sand dunes; Spectral reflectance

Indexed keywords

LANDSAT; QATAR; QUATERNARY GEOLOGY; SAND DUNES; SPECTRAL REFLECTANCES;

ANOXIC SEDIMENTS; ARID REGIONS; LABORATORIES; LANDFORMS; PRINCIPAL COMPONENT ANALYSIS; QUARTZ; REFLECTION; REMOTE SENSING; SPACE OPTICS; TEACHING; X RAY DIFFRACTION; X RAY DIFFRACTION ANALYSIS;

SAND;

EID: 80051760749     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs1040915     Document Type: Article

References (17)

1. Jensen, J.R. Introductory Digital Image Processing A Remote Sensing Perspective, 3rd ed.; Pearson Prentice Hall, Pearson Education: Upper Saddle River, NJ, USA, 2004; p.163.
2. Pease, P.P.; Bierly, G.D.; Tchakerian, V.P.; Neil W. Tindale Mineralogical characterization and transport pathways of dune sand using Landsat TM data, Wahiba Sand Sea, Sultanate of Oman. Geomorphology 1999, 29, 235-249.
3. Howari, F.M.; Baghdady, A.; Goodell, P.C. Mineralogical and gemorphological characterization of sand dunes in the eastern part of United Arab Emirates using orbital remote sensing integrated with field investigations. Geomorphology, 2007, 83, 67-81.
4. LeMay, V.; Maedel, J.; Coops, N.C. Estimating stand structural details using nearest neighbor analyses to link ground data, forest cover maps, and Landsat imagery. Remote Sens. Environ. 2008, 112, 2578-2591.
5. Tomppo, E.O.; Gagliano, C.; De Natale, F.; Katila, M.; McRoberts, R. Predicting categorical forest variables using an improved k-Nearest Neighbour estimator and Landsat imagery. Remote Sens. Environ. 2009, 113, 500-517.
6. Sheffield, C. Selecting band combination from multispectral data. Photogramm. Eng. Remote Sens. 1984, 51, 681-687.
7. Newton, A.R.; Boyle, T.P. Discriminating rock and surface types with multispectral satellite data in the Richtersveld, NW Cape Province, S. Africa. Int. J. Rem. Sens. 1993, 5, 943-959.
8. Chavez, P.S.; Berlin G.L.; Sowers, L.B. Statistical methods for selection Landsat MSS ratios. J. Appl. Photogr. Eng. 1982, 8, 23-30.
9. Chavez, P.S.; Guptill, S.C.; Bowell, J.A. Image processing techniques for thematic mapper data, proceedings. ASPRS-ACSM Tech. Pap. 1984, 2, 728-742.
10. Friedman, S.Z. Mapping Urbanized Area Expansion through Digital Image Processing of Landsat and Conventional Data; Jet Propulsion Laboratory: Pasadena, CA, USA, 1980: pp. 79-113.
11. Satterwhite, M.; Rice, W.; Shipman, J. Using landform and vegetative factors to improve the interpretation of landsat imagery. Photogramm. Eng. Remote Sens. 1984, 50, 83-91.
12. Congalton, R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46.
13. Douaoui, A.; Nicolas, H.; Walter, C. Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data. Geoderma 2006, 134, 217-230.
14. Rollin, E.M.; Milton E.J. Processing of high spectral resolution reflectance data for the retrieval of canopy water content information. Remote Sens. Environ. 1998, 65, 86-92.
15. Hunt, G.R. Spectroscopic properties of rocks and minerals. In Handbook of Physical Properties of Rocks; Carmichael, R.S., Ed.; CRC Press: Boca Raton, FL, USA, 1982; Vol. 1, pp. 295-385.
16. Hunt, G.R.; Salisbury J.W. Visible and near infrared spectra of minerals and rocks. I. Silicate minerals. Mod. Geol. 1970, 1, 283-300.
17. Hunt, G.R.; Salisbury J.W.; Lenhoff C.J. Visible and near-infrared spectra of minerals and rocks. IV. Sulphides and sulphates. Mod. Geol. 1971a, 3, 1-4.