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

/, 2012 14(10): oth ) Tree Caartinen tion from 10): and e ication. ng. T and r a boreal , lidar and 'orest ar ing of 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 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 School of Information Engineering, China University of Geosciences, 100083 Beijing, China liuxn@cugb.edu.cn, liumeiling427@126.com, wl_19830807@sohu.com KEY WORDS: Total inorganic nitrogen, RADARSAT-2, HJ-1 CCD image, backscattering coefficient, optical parameters, polarization parameters ABSTRACT: The knowledge of nitrogen concentration in the ocean is fundamental for the study of oceanic biogeochemical processes. The objective of this research is to estimate total inorganic nitrogen (TIN) by integrating optical parameters from HJ-1 CCD image and polarization parameters from RADARSAT-2 quad-polarization image. The situ data and HJ-1 CCD, RADARSAT-2 image were acquired from Pearl River Estuary Hong Kong Seas, China in August, 2010. The four sensitive parameters, reflectance of Band 4, NDSI (Normalized Difference Spectral Index), the backscattering coefficient of HV and VH were derived as input variables to assess the TIN. A multiple regression model was established between four input variables and TIN. The result showed that the fusion of optical data and SAR data was proved to be successful in estimating TIN in sea surface, with the correlation coefficient (R?) between measured TIN and predicated TIN of 0.774, and the root mean square error (RMSE) of 0.063. The optical data in combination with SAR data is promising for detecting biochemical component in sea surface. 1. INTRODUCTION The knowledge of temporal and spatial variations of nitrate concentrations at global or regional scales in the ocean is needed to quantify the role of nitrates in oceanic biogeochemical processes, and in particular those linked to new primary production (Kamykowski et al., 2003, 2005). Many attempts have been made to estimate nitrate concentrations using satellite data. Some researchers applied satellite data to estimate nitrate concentrations in sea according to temperature—nitrate relationships based on matching vertical profiles of sea surface temperatures (SST) and nitrate concentrations (Traganza et al., 1983; Dugdale et al., 1989). In order to increase the accuracy of estimation nitrate concentrations, other researchers derived inverse relationships between nitrate concentrations and chlorophyll-a concentration, SST by introducing chlorophyll-a concentration as an additional input to empirical algorithms (Goes et al.,1999,2000; Silio-Calzada et al., 2008). However, the empirical algorithms derived from the chlorophyll-a, SST were limited to restricted periods and areas, due to varying hydrodynamics and biogeochemical characteristics condition. In this paper, we proposed a new approach for the estimation of nitrate concentrations in sea surface, by deriving the sensitive remotely sensed parameters from optical image and SAR image. 2. STUDY AREA AND MATERIAL 2.1 Study Area The study area (22?18'08"N, 114?03'30"E) is located in the east of the Pearl River Estuary (PRE), China, which is well-developed economical district and has many industrial * Corresponding author: e-mail: liuxn@cugb.edu.cn operations, which polluted the coastal areas. The site has a warm and humid subtropical climate, the Pearl River flows through large catchment areas into the PRE and finally reaches the South China Sea, which is the largest marginal sea on the western boundary of the Pacific Ocean. 2.2 Image data A scene of HJ-1 CCD image was acquired on 4 August 2010 (Figurel(a))HJ-1 satellite equipped with a CCD camera and hyperspectral imager (HSI) or infrared camera (IRS), which was successfully launched on at 11:25 on September 6, 2008,China to monitor environment and disaster. The HJ-1 CCD image has a four spectral band (Bandl: 0.43-0.52um, Band2:0.52-0.60um, Band3:0.63-0.69um, Band4: 0.76-0.90um) with a 30mx30m spatial resolution. The two identical CCD cameras in the HJ-1-A satellite and HJ-1-B satellite can image the ground swath width of 700 km. Revisit cycle is two days. The preprocessing of HJ-1CCD imagery includes atmospheric correction and geometric correction. In this study, a scene of fine quad-polarization RADARSAT-2 image covering the study area was acquired over the study area on 22:28, 1 August 2010 from China Remote Sensing Satellite Ground Station (Figurel (b). Band beam is Q19, spatial resolution is 12mx8 m, incidence angle is about 22° .The image has been preprocessed to product level of SGX and output to GeoTIFF data format. The Next European Space Agency (ESA) SAR Toolbox (NEST) was used for further data processing, including radiance calibration, geocorrection, coregistration, multlooking and speckle reduction. For speckle reduction, the multitemporal speckle filter was adopted, and the filter window size was set 3 x 3.Overview of RADARSAT-2 image and HJ-1 CCD image are displayed in Tablel.

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