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Technical Commission VII (B7)

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Bibliographic data

fullscreen: Technical Commission VII (B7)

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:
MAPPING THE WETLAND VEGETATION COMMUNITIES OF THE AUSTRALIAN GREAT ARTESIAN BASIN SPRINGS USING SAM, MTMF AND SPECTRALLY SEGMENTED PCA HYPERSPECTRAL ANALYSES D. C. White, M. M. Lewis
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • XXII ISPRS Congress 2012
  • Technical Commission VII (B7)
  • Cover
  • Title page
  • TABLE OF CONTENTS
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Volume XXXIX, Part B7, Commission VII - elSSN 2194-9034
  • [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]
  • [VII/2: SAR INTERFEROMETRY]
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • CLASSIFICATION OF ROOF MATERIALS USING HYPERSPECTRAL DATA C. Chisense
  • SPECTRAL ANALYSIS OF DIFFERENT VEGETATION COVER USING THE HYPERION SENSOR - A CASE STUDY IN THE STATE OF RIO DE JANEIRO - BRAZIL E. M. F. R. de Souza, R. S. Vicens, A. E. P. Rosa, C. B. M. Cruz
  • Robust Metric based Anomaly Detection in Kernel Feature Space Bo Du, Liangpei Zhang, Huang Xin
  • COMPARISOM OF WAVELET-BASED AND HHT-BASED FEATURE EXTRACTION METHODS FOR HYPERSPECTRAL IMAGE CLASSIFICATION X.-M. Huang and P.-H. Hsu
  • ANALYSIS OF CONCRETE REFLECTANCE CHARACTERISTICS USING SPECTROMETER AND VNIR HYPERSPECTRAL CAMERA Jin-Duk Lee, Bon A. Dewitt, Sung-Soon Lee, Kon-Joon Bhang, Jung-Bo Sim
  • EXTRACTING TEMPORAL AND SPATIAL DISTRIBUTIONS INFORMATION ABOUT ALGAL GLOOMS BASED ON MULTITEMPORAL MODIS Lü Chunguang, Tian Qingjiu
  • HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS Aliaksei Makarau, Rupert Müller, Gintautas Palubinskas, and Peter Reinartz
  • ROAD CLASSIFICATION AND CONDITION DETERMINATION USING HYPERSPECTRAL IMAGERY M. Mohammadi
  • ASSESSING THE SIGNIFICANCE OF HYPERION SPECTRAL BANDS IN FOREST CLASSIFICATION G. J. Newnham, D. Lazaridis, N. C. Sims, A. P. Robinson, D. S. Culvenor
  • ANOMALY DETECTION AND COMPARATIVE ANALYSIS OF HYDROTHERMAL ALTERATION MATERIALS TROUGH HYPERSPECTRAL MULTISENSOR DATA IN THE TURRIALBA VOLCANO J. G. Rejas, J. Martinez-Frias, J. Bonatti, R. Martinez and M. Marchamalo
  • STUDY ON OIL-GAS RESERVOIR DETECTING METHODS USING HYPERSPECTRAL REMOTE SENSING Qingjiu Tian
  • MAPPING THE WETLAND VEGETATION COMMUNITIES OF THE AUSTRALIAN GREAT ARTESIAN BASIN SPRINGS USING SAM, MTMF AND SPECTRALLY SEGMENTED PCA HYPERSPECTRAL ANALYSES D. C. White, M. M. Lewis
  • [VII/4: METHODS FOR LAND COVER CLASSIFICATION]
  • [VII/5: METHODS FOR CHANGE DETECTION AND PROCESS MODELLING]
  • [VII/6: REMOTE SENSING DATA FUSION]
  • [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]
  • [VII/3, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]
  • [VII/7, III/2, V/1, V/3, ICWG V/I: LOW-COST UAVS (UVSS) AND MOBILE MAPPING SYSTEMS]
  • [VII/7, III/2, V/3: WAVEFORM LIDAR FOR REMOTE SENSING]
  • [ADDITIONAL PAPERS]
  • AUTHOR INDEX
  • Cover

Full text

    
springs has become uncertain as demands on this iconic 
groundwater resource increase. The impacts of existing water 
extractions for mining and pastoral activities are unknown. This 
situation is compounded by the likelihood of future increasing 
demand for extractions. 
Despite their importance, GAB springs have received scant 
inventory and documentation of their vegetation extent, 
distribution and composition. Hyperspectral remote sensing 
provides the necessary spectral and spatial detail to discriminate 
wetland vegetation communities and has shown great potential 
in previous studies for mapping wetlands vegetation (Torbick 
and Becker, 2009; Hestir et al., 2008; Zomer et al., 2009). This 
technology will enable accurate and repeatable baseline and 
longer-term mapping of these remote and spatially disparate 
groundwater dependent ecosystems (GDEs) to be achieved. 
The objectives of this paper are to discriminate the spatial 
extent and distribution of key spring wetland vegetation 
communities associated with the GAB springs evaluating 
Spectral Angle Mapper (SAM), Mixture Tuned Matched 
Filtering (MTMF) and Spectrally Segmented Principal 
Component Analysis (PCA) hyperspectral techniques. In 
addition, to determine if the hyperspectral techniques developed 
can be applied at a number of sites representative of the range 
of spring formations, their floristic and geomorphic diversity 
and at two temporal intervals (March 2009 and April 2011). 
1.2 Study area 
The GAB springs found in South Australia (SA) are located 
along the western margin of the GAB and are formed from the 
natural outflow of groundwater. The GAB springs surface 
expression is composed of wetland vegetation, saline flats and 
carbonaceous substrate. The wetland plant communities of GAB 
springs vary between spring groups (cluster of springs sharing 
the same water source) and complexes (clusters of spring 
groups which share the same geomorphological settings), some 
of which are rare, relic and endemic to this region. This paper 
focuses on three sites Hermit Hill Springs complex (latitude 
29.60° S and longitude 137.41° E), Freeling Springs, Mount 
Denison complex (latitude 28.06° S and longitude 135.91° E), 
and Dalhousie Springs complex (latitude 26.45° S and 
longitude 135.51° E). The three sites are representative of GAB 
springs within SA. The sites also differ in their geomorphic 
setting, vegetation community composition, spatial extent and 
distribution of springs. 
2. MATERIALS AND METHODS 
2.1 Image Data 
Two epochs of HyMap airborne hyperspectral mosaicked image 
cubes were captured for this research in March 2009 and April 
2011. The two epochs of HyMap imagery were captured under 
dry antecedent conditions (March 2009) and wet antecedent 
conditions (April 2011). The HyMap imagery is composed of 
126 wavebands with a bandwidth of ~15 nm and wavelength 
range of 450 — 2,500nm, a ~3 m ground sampling distance 
(GSD), and swath width of 1.5 km. The raw HyMap imagery 
was radiometrically corrected along with geometric correction 
and colour balancing of swaths to form a seamless mosaic 
(Kruse et al., 2009; Cocks et al., 1998). Colour digital aerial 
photography at 30 cm GSD was acquired concurrently with the 
HyMap imagery. 
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 
    
Results discussed in this paper focus on the March 2009 
baseline image capture for all three sites. More detailed 
comparison of changes between March 2009 and April 2011 is 
focused on the Hermit Hill springs complex. 
2.2 Field data 
The image acquisition coincided with a field campaign of 
spectroradiometry measurements and a botanical survey, which 
included recording vegetation cover and composition within 9 x 
9 m sample plots representative of the range of spring 
vegetation types and cover. The spatial locations of field 
measurements were recorded with GPS. 
2.3 Image processing 
To identify key wavebands which have the greatest capability to 
discriminate vegetation communities of the GAB springs and 
surrounding area three hyperspectral data reduction techniques 
were employed: (i) the Minimum Noise Transform (MNF); (ii) 
the Pixel Purity Index (PPI); and (iii) Spectrally Segmented 
PCA (SSPCA). SSPCA was applied to NDVI-masked 
vegetation portions of the HyMap imagery with wavelength 
regions spectrally segmented for the VIS-NIR (450-1,350 nm), 
SWIR 1 (1,400-1,800 nm) and SWIR 2 (1,950-2,480 nm). The 
pure pixels identified from the SAM and MTMF analyses were 
interactively verified as specific spring vegetation communities 
using spatial location and attribute data collected from the 
botanical survey plots overlayed onto colour composites of the 
HyMap imagery, MNF and PPI output images. The resulting 
pure endmember image pixels of the vegetation communities 
identified were used as target spectra for input into the SAM 
and MTMF algorithms which identify pixels within the HyMap 
image which are spectrally similar to the target spectra. 
3. RESULTS AND DISCUSSION 
The resulting SAM and MTMF output images of the identified 
target vegetation communities are currently being validated 
through formal accuracy assessment using field observations 
and digital colour aerial photography. Spring wetland 
vegetation communities successfully discriminated include low 
lying reeds and sedges along spring tails (Baumea spp., Cyperus 
spp., Fimbristylis sp., Gahnia trifida sp.), dense homogenous 
stands of Phragmites australis reeds and White Tea Tree 
(Melaleuca glomerata sp.). In addition sporadic patches of salt 
couch grass (Sparabolus spp.), Samphire  shrublands 
(Haloscarcia sp. and Sarcocrina sp.) and Sea Heath 
(Frankenia sp.) which fringe the springs were also 
discriminated. 
VIS-NIR PCs 2, 3 and 9 identified key vegetation 
discrimination wavelength features, in particular, the green peak 
at 555 nm, chlorophyll absorption feature at 685 nm, VIS-NIR 
and red-edge contrasts. The SWIR 1 PC 3 mapped Phragmites 
australis, with notable loadings at wavelengths 1,450, 1,645- 
1,715, 1815, and 1,825 nm associated with water, lignin, and 
cellulose absorptions, respectively. The SWIR 2 region revealed 
little spectral variation (White and Lewis, 2010). 
Differences between March 2009 and April 2011 HyMap image 
captures focused on the Hermit Hill springs complex. The 
extent and distribution of spring wetland vegetation 
communities varied between the two image dates. Most notable 
were decreases in Phragmites australis reeds in contrast with
	        

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