XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

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, VII/6, III/2, V/3: INTEGRATION OF HYPERSPECTRAL AND LIDAR DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: FUSION OF OPTICAL DATA AND SAR DATA FOR THE ESTIMATION OF NITROGEN CONCENTRATION IN PEARL RIVER ESTUARY HONG KONG SEAS, CHINA Xiangnan Liu, Meiling Liu, Ling Wu

Document type:: Multivolume work

Structure type:: Chapter

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 Figure 1. HJ-1 CCD and Radarsat-2 image of study area, (a) HJ-1 CCD (RGB normalization false color composition), (b) Radarsat-2(PauliRGB composition) Data source Acquisition data | Spatial data(m) Signal characteristic Other notation HJ-1 CCD 2010-08-04 30x30 spectral reflectance four band number RADARSAT-2 2010-08-01 12x8 backscattering coefficient | fine quad-polarization Table 1. Overview of RADARSAT-2 image and HJ-1 CCD image 2.3 Situ measured data Coincident with the image, sea surface measurement data, including TIN and ocean surface condition (i.e., wind speed, wind direction, wave height and wave direction) were collected from Environmental Protection Department, the government of the Hong Kong Special Administrative Region (http://sc.epd.gov.hk). 3. METHOD 3.1 Selection of input variables In order to improve the accuracy of estimating TIN, the input variables which were relative sensitive to TIN were selected. To ascertain the sensitivity of the spectral parameters and polarization parameters to TIN in the study area, a series quadratic fit model were conducted from TIN value with spectral parameters and polarization parameters. In general, for polarization parameters, our results showed that HV has a 06r d os. Ra E i T t # 0.4 "st E ose 2, io TIN(mg/L) = n Sin EFA n £x Qum 1 : ; 6.00 001 02 0.03 (£04 005 Band4 Figure 2. Relationship between different optical parameters, polarization parameters and TIN strong non-linear relationship with TIN, the correlation coefficient (R?) being 0.54; VH correlate positively to TIN, R° with 0.36 (Figure 2). For spectral parameters, Normalized Difference Spectral Index (NDSI) was proposed and computed by NDSI - (R, - R)/ (R, - R) (1) Where R, and R, are reflectance of 1” band and reflectance of 4™ band for HJ-1 CCD image. Our results indicated that single band, namely, reflectance of Band 4 was positively correlated with TIN, R? of 0.35; NDSI has correlation with TIN, R? with 0.32 (Figure 2). In sum, VH, HV, Band 4 and NDSI were selected as the input variables of model for estimating TIN in sea surface. 4 AL [0 4.2 64 NDSI

Access restriction

Copyright

fullscreen: Technical Commission VII (B7)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation