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Technical Commission VII (B7)

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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/2: SAR INTERFEROMETRY]
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
AIRBORNE X-HH INCIDENCE ANGLE IMPACT ON CANOPY HEIGHT RETREIVAL: IMPLICATIONS FOR SPACEBORNE X-HH TANDEM-X GLOBAL CANOPY HEIGHT MODEL M. Lorraine Tighe, Doug King, Heiko Balzter, Abderrazak Bannari, Heather McNairn
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]
  • INSAR ATMOSPHERIC DELAY MIGITIGATION BY GPS; CASE STUDY IZMIT EARTQUAKE INTERFEROGRAMS M. U. Altin, E, Tari, L. Ge
  • SOURCES OF ARTEFACTS IN SYNTHETIC APERTURE RADAR INTERFEROMETRY DATA SETS K. Becek, A. Borkowski
  • RADARGRAMMETRIC DIGITAL SURFACE MODELS GENERATION FROM TERRASAR-X IMAGERY: CASE STUDIES, PROBLEMS AND POTENTIALITIES P. Capaldo, M. Crespi, F. Fratarcangeli, A. Nascetti, F. Pieralice
  • GLACIER SURFACE MONITORING BY MAXIMIZING MUTUAL INFORMATION Esra Erten, Cristian Rossi, Irena Hajnsek
  • THE GLOBAL TANDEM-X DEM: PRODUCTION STATUS AND FIRST VALIDATION RESULTS M. Huber, A. Gruber, A. Wendleder, B. Wessel, A. Roth, A. Schmitt
  • Gap in pagination due to withheld paper. Pages 51-56
  • A NEW PERSISTENT SCATTER NETWORK CONSTRUCTION ALGORITHM FOR PERSISTENT SCATTER INSAR AND ITS APPLICATION TO THE DETECTION OF URBAN SUBSIDENCE Xiaojun Luo, Dingfa Huang, Guoxiang Liu, Letao Zhou, Keren Dai
  • AUTOMATIC CALCULATION OF OIL SLICK AREA FROM MULTIPLE SAR ACQUISITIONS FOR DEEPWATER HORIZON OIL SPILL Batuhan Osmanoglu, Coskun Özkan, Filiz Sunar, Gordon Staples
  • TESTING THE GENERALIZATION EFFICIENCY OF OIL SLICK CLASSIFICATION ALGORITHM USING MULTIPLE SAR DATA FOR DEEPWATER HORIZON OIL SPILL C. Ozkan, B. Osmanoglu, F. Sunar, G. Staples, K. Kalkan, F. Balik Sanli
  • TOWARDS AN URBAN DEM GENERATION WITH SATELLITE SAR INTERFEROMETRY Cristian Rossi, Thomas Fritz, Michael Eineder, Esra Erten, Xiao Xiang Zhu and Stefan Gernhardt
  • MATCHING PERSISTENT SCATTERERS TO BUILDINGS A. Schunert, L. Schack , U. Soergel
  • INSAR OF AQUATIC BODIES Parviz Tarikhi, [...]
  • AIRBORNE X-HH INCIDENCE ANGLE IMPACT ON CANOPY HEIGHT RETREIVAL: IMPLICATIONS FOR SPACEBORNE X-HH TANDEM-X GLOBAL CANOPY HEIGHT MODEL M. Lorraine Tighe, Doug King, Heiko Balzter, Abderrazak Bannari, Heather McNairn
  • TOMOGRAPHIC SAR INVERSION FROM MIXED REPEAT- AND SINGLE-PASS DATA STACKS - THE TERRASAR-X/TANDEM-X CASE Xiao Xiang Zhu, Richard Bamler
  • [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]
  • [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

result in a larger range of height errors across the swath, but this 
effect will be less pronounced in multi-pass (e.g. NEXTMap) 
since the imagery produced is averaged from multiple data takes 
that are not aligned (Woodhouse et al., 2006). This hypothesis is 
examined in this paper. 
3. STUDY SITES 
Three research sites are located in the United States (Minnesota 
[2], Arizona [1]) and were selected because the bio-geophysical 
characteristics of these sites provided a unique opportunity to 
evaluate X-HH InSAR multi-pass data aggregated (called 
NEXTMap) and single-pass (Intermap’s non-commercial data) 
dataset as a source for high-resolution vegetation canopy height 
estimates across a range of vegetation densities and structural 
classes, as well as under a variety of topographic conditions and 
environments (arid and temperate). A description of the three 
sites is presented below. 
3.1 Ely, Minnesota 
The first site is situated in the temperate climate between 
473130" N and 47/5230" N and 9137/30" W and 9152730" 
W near the city of Ely, Minnesota. It is comprised of dense 
homogenous coniferous and deciduous forests as well as mixed 
forests with little understory. The common species are red pine 
(Pinus resinosa), white pine (Pinus strobus), black spruce 
(Picea mariana), and red maple (Acer rubrum). The site 
covers an area of 169.8 km? and is dominated by rolling 
topography with irregular slopes (0-18.7) and many craggy 
outcrops of bedrock. The elevation range is 422 — 506 m. 
3.2 International Falls, Minnesota 
The International Falls, Minnesota, site is located between 
483000" N and 4837730" N and 931500" W and 93 30700" 
W. It represents more of a pure coniferous site than the Ely site. 
Forests are dominated by coniferous species such as white pine, 
white spruce (Picea glauca), and balsam fir (Abies balsamea) 
with a mixture of white pine, red pine, and jack pine (Pinus 
banksiana) more prominent in the eastern portion. The site was 
16.35 km^ and situated on a lake plain with topographic 
variation of less than 30 m and slopes less than 15. 
3.3 Southern Arizona 
The Arizona site is located near the Mexican border between 
312250" N and 3145'00" N and 11014'53" W and 
1113742" W. It represents a hot arid environment with a 
diverse range of vegetation types on flat to steep terrain. The 
vegetation classes are predominately grassland (e.g. Bouteloua 
curtipendula and Schizachyrium scoparium), shrub / scrub (e.g. 
thornscrub (Canotia holacantha)), and coniferous forests, with 
minor coverage of wetlands, bare earth, and urban development. 
Woody species dispersed throughout the area include various 
species of oak (Quercus spp.), juniper (Juniperu spp.), desert 
riparian cottonwoods (Populus fremontii), Goodding willow 
(Salix gooddingi), Arizona ash (Fraxinus velutina), Arizona 
walnut (Juglans major), Arizona sycamore (P/atanus wrightii), 
Mexican elder (Sambucus mexicana), and velvet mesquite 
(Prosopis velutina). The site is approximately 1,484 km? with a 
range of elevations from 931 m in the plains to 1762 m in the 
mountains and rolling topography of irregular slopes (0-28). 
4. DATASETS 
Digital elevation models (DEMs) are topographic models of the 
earth's terrain representing either bare earth or surface 
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 
   
  
  
  
  
  
  
  
  
  
   
   
   
   
  
  
  
   
  
   
  
  
   
   
   
   
   
   
   
   
   
  
    
   
   
   
   
   
   
   
   
    
   
  
  
   
    
   
   
   
   
   
   
   
   
   
   
   
   
   
  
  
  
  
     
   
elevations. DEMs typically are offered as a continuous 
elevation surface (Podobnikar, 2009). DEMs with elevations of 
vegetation, buildings, and other cultural features digitally 
removed are referred to as digital terrain models (DTMs), 
whereas those that have maintained heights of features above 
the ground are called digital surface models (DSMs). Intermap 
has created a continental U.S. database of X-HH InSAR derived 
DTM and DSM data under the NEXTMap mapping program. 
NEXTMap DSM data are a compilation of multiple-data takes 
aggregated together to reduce errors associated with side- 
looking viewing geometry of SAR sensors (Figure 1). Multi- 
pass data processing provides a stable dataset for which 
vegetation canopy height can be modelled (Kellndorfer et al., 
2004; Andersen et al., 2008; Chen et al., 2010). NEXTMap 
DTMs are derived from X-HH InSAR DSMs using a 3D 
workflow based on an ISO-certified process (Intermap, 2011). 
Incidence angle are not extractable from aggregated data. 
Single-data take X-HH InSAR flight line strips used to create 
the NEXTMap data were available and used to access incidence 
angle variations. 
Both the single- and multi-pass datasets were obtained as 32-bit 
floating 5-meter posted elevation grids (also known as 5 m 
ground sampling distance, or ground range pixel spacing) in 
geometric coordinates for three sites. The NEXTMap DTM data 
(multi-pass data aggregated have a 1 m, 1-3 m, and >3m linear 
error (LE) 90% vertical accuracy in unobstructed terrain with 
slopes less than 10°, 11° = 20, and greater than 20", respectively. 
There are no published accuracies for the NEXTMap DSM or 
the single-data take InSAR. Data of slopes less than 10” were 
used in this research to isolate effects due to incidence angle 
variations rather than changes in terrain slope. 
Within a year of the INSAR data collection, field programs were 
conducted to obtain tree and shrub vegetation heights using an 
Abney hand spirit level or clinometer with an expected accuracy 
of better than 0.5 m (e.g. 2.5% for a 20 m tree height) when the 
observer has a clear view of the tree being measured. Mean 
canopy height was taken as the average of the measured tree 
heights and used as reference data to assess the vertical 
accuracy of the InSAR derived vegetation canopy height of the 
single-/multi-pass derived hg. 
5. METHODS 
The X-HH InSAR DTM data were subtracted from both the 
single- and multi-pass datasets to derive vegetation canopy 
height given by the hy, (Figure 2). To investigate the effect of 
incidence angle on InSAR derived data, vegetation canopy 
heights were extracted from the single- and multi-pass hg, for 
each x-y in situ vegetation canopy height location, stratified by 
three incidence angles (NR = 35, MR = 45’, FR = 55"), and by 
vegetation cover type (shrub, deciduous, coniferous, mixed and 
wetland). All height values were classified based on slope data 
to ensure that only those values that represented terrain slopes 
«10 were used; otherwise, the effects of incidence angle cannot 
be evaluated independently. Root mean square and mean errors 
were computed. To further investigate the effect of incidence 
angle on InSAR derived hy, vegetation canopy heights 
represented by h,, values along three transects located 1 km 
(NR 2 35), 5 km (MR - 45), and 9 km (FR - 55) across 
single-data take swaths in the range direction (Figure 5) were 
extracted from the single and multi-pass datasets. These canopy 
height values were compared to each other using the absolute 
RMS difference (RMSD) and the absolute mean difference 
(MD). RMSD was calculated since neither the single- nor multi-
	        

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