Skip to main content

Advertisement

SpringerLink
Log in

Scale Effects on Chlorophyll-A Concentration Retrieved: Assessment and Validation Using Indian Remote Sensing Satellite

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

To understand the scale effects on chlorophyll-a (chl-a) concentration retrieved from satellite images, the two-band algorithm (TA) and three-band algorithm (TBA) were constructed for estimating chl-a from satellite images. Two synchronous images of Advanced Wide-Field Sensor (AWiFS) and Linear Imaging Self-Scanner (LISS) of Indian remote sensing satellite were used to assess and validate the scale errors of these two algorithms. They were collected at local time 02:55:46:471 and 02:58:25:053 on October 8, 2005 in Yellow River Estuary, and their spatial resolutions are 24 m and 56 m, respectively. From the results of this study, it was found that: (1) the relative scale error (RSE) of TA and TBA, caused by scale changing from LISS to AWiFS, varied from 0% to 100%; (2) the RSE was correlated with the spatial non-homogeneous degree of chl-a distribution; and (3) using TBA to estimate chl-a concentration in Yellow River Estuary decreased 2.55% of model uncertainty, but increased 4.97% of scale errors, in comparison with TA. Additionally, the study indicated that the performance of algorithms for chl-a estimation was greatly affected by the scale error. If the scale effects of chl-a retrieval algorithm were taken into consideration, TA had a superior performance to the TBA in this study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • ASD (1999). Analytic spectral devices. Inc. Technical Guide, 3rd Ed.

  • Chander, G., Coan, M. J., & Scaramuzza, P. L. (2008). Evaluation and comparison of the IRS-P6 and Landsat sensors. IEEE Transactions on Geoscience and Remote Sensing, 46(1), 209–220.

    Article  Google Scholar 

  • Chen, J., Feng, J. J., Wen, Z. H., & Fang, J. Q. (2008). Nonhomogeneity: the scale error of Pixel in remote sensing assimilation of suspending sediment concentration. Remote Sensing Information, 5, 93–96.

    Google Scholar 

  • Chen, J., Wang, W. C., Wang, B. J., & Wen, Z. H. (2010). Estimating the distribution variance of suspended sediment concentration and scaling effect correction based on the eight neighborhood algorithm. Journal of Infrared and Millmeter Waves, 29(6), 440–444.

    Google Scholar 

  • Chen, J., Wen, Z. H., & Xiao, Z. Q. (2011). Spectral geometric triangle properties of chlorophyll-a inversion in Taihu Lake based on TM data. Journal of Water Resource and Projection, 3(1), 67–75.

    Article  Google Scholar 

  • Cui, B. L., & Li, X. Y. (2011). Coastline change of the Yellow River Estuary and its response to the sediment and runoff (1976–2005). Geomorphology, 127, 32–40.

    Article  Google Scholar 

  • Dall’Olmo, G., Gitelson, A. A., & Rundquist, D. C. (2003). Towards a unified approach for remote estimation of chlorophyll-a in both terrestrial vegetation and turbid productive water. Geophysical Research Letters, 30. doi:10.1029/2003GL0108065.

  • Dall’Olmo, G., Gitelson, A. A., Rundquist, D. C., Leavitt, B., Barrow, T., & Holz, J. C. (2005). Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands. Remote Sensing of Environment, 96, 176–187.

    Article  Google Scholar 

  • Dekker, A. G., Vos, R. J., & Peters, S. W. M. (2002). Analytical algorithms for lake water TSM estimation for retrospective analysis of TM and SPOT sensor data. International Journal of Remote Sensing, 23, 15–35.

    Article  Google Scholar 

  • Deng, M., & Li, Y. (2003). Use of SeaWiFS imagery to detect three-dimensional distribution of suspended sediment. International Journal of Remote Sensing, 24(3), 519–534.

    Article  Google Scholar 

  • Gilpin, L., & Tett, P. (2001). A methods for analysis of benthic chlorophyll-a pigment. In: Marine Biology Report (pp. 326–341). UK: Napier University Press.

    Google Scholar 

  • Gitelson, A. A., Dall’Olmo, G., Moses, W., Rundquist, D. C., Barrow, T., Fisher, T. R., Gurlin, D., & Holz, J. (2008). A simple semi-analytical model for remote estimation of chlorophyll-a in turbid waters: validation. Remote Sensing of Environment, 112, 3582–3593.

    Article  Google Scholar 

  • Gons, H. J., Auer, M. T., & Effler, S. W. (2008). MERIS satellite chlorophyll mapping of oligotrophic and Eutrophic waters in the Laurentian Great Lakes. Remote Sensing of Environment, 112, 4098–4106.

    Article  Google Scholar 

  • Gons, H. J., Rijkeboer, M., Bagheri, S., & Ruddick, K. G. (2000). Optical teledection of chlorophyll a in estuarine and coastal waters. Environmental Science and Technology, 34, 5189–5192.

    Article  Google Scholar 

  • Gordon, H. R., & Brown, O. B. (1974). Influence of bottom depth and albedo on the diffuse reflectance of a flat homogeneous ocean. Applied Optics, 13(9), 2153–2159.

    Article  Google Scholar 

  • Gordon, H. R., Brown, O. B., Evans, R. H., Brown, J. W., Smith, R. C., Baker, K. S., & Clark, D. K. (1988). A semianalytic radiance model of ocean color. Journal of Geophysical Research, 93, 10909–10924.

    Article  Google Scholar 

  • Gordon, H. R., & Franz, B. A. (2008). Remote sensing fo ocean color: assessment of the water-leaving radiance bidirectional effects on the atmospheric diffuse transmittance for SeaWiFS and MODIS intercomparisons. Remote Sensing Environment, 112, 2667–2685.

    Article  Google Scholar 

  • Hu, C. M., Carder, K. L., & Muller-Karger, F. E. (2000). Atmospheric correction of SeaWiFS imagery: assessment of the use of alternative bands. Applied Optics, 39(21), 3573–3581.

    Article  Google Scholar 

  • Hu, C. M., Muller-Karger, F. E., Andrefouet, S., & Carder, K. L. (2001). Atmospheric correction and cross-calibration of Landsat-7/ETM + imagery over aquatic environments: a multiplantform approach using SeaWiFS/MODIS. Remote Sensing Environment, 78, 99–107.

    Article  Google Scholar 

  • Hyde, K. J. W., O’Reilly, J. E., & Oviatt, C. A. (2007). Validation of SeaWiFS chlorophyll a in Massachusetts Bay. Remote Sensing of Environment, 27, 1677–1691.

    Google Scholar 

  • Le, C. F., Li, Y. M., Zha, Y., Sun, D. Y., Huang, C. C., & Lu, H. (2009). A four-band semi-analytical model for estimating chlorophyll a in highly turbid lakes: the case of Taihu Lake, China. Remote Sensing of Environment, 113, 1175–1182.

    Article  Google Scholar 

  • Lee, Z. P., Carder, K. L., Hawes, S. H., Steward, R. G., Peacock, T. G., & Davis, C. O. (1994). A model for interpretation of hyperspectral remote sensing reflectance. Applied Optical, 33, 5721–5732.

    Article  Google Scholar 

  • Li, S. N., Wang, G. X., Deng, W., Hu, Y. M., & Hu, W. W. (2009). Influence of hydrological process on wetland landscape pattern: a case study in the Yellow River Delta. Ecological Engineering, 35, 1719–1726.

    Article  Google Scholar 

  • Li, X. W., Wang, J. D., & Strahler, A. H. (1999). The applied scale effecting of Plank’s law on nonhomogeneity of blackbody. Chinese Science E Series, 44(15), 2623–2634.

    Google Scholar 

  • Marrari, M., Hu, C., & Daly, K. (2006). Validation of SeaWiFS chlorophyll a concentrations in the Southern Ocean: a revisit. Remote Sensing of Environment, 105, 367–375.

    Article  Google Scholar 

  • Mobley, C. D. (1994). Light and water: Radiative transfer in natural waters. New York: Academic.

    Google Scholar 

  • Morel, A., & Prieur, L. (1977). Analysis of variances in ocean color. Limnology and Oceanograph, 22, 709–722.

    Article  Google Scholar 

  • Moses, W. J., Gitelson, A. A., Berdnikov, S., & Povazhnyy, V. (2009). Satellite estimation of chlorophyll-a concentration using the red and NIR bands of MERIS-the Azov sea case study. IEEE Geoscience & Remote Sensing, 6(4), 845–849.

    Article  Google Scholar 

  • Mueller, J. L., & Fargion, G. S. (2002). Ocean optics protocols for satellite ocean color sensor validation (pp. 171–179). SeaWiFS Technical Report Series, Revision 3 Part II.

  • Ritchie, J. C., Cooper, C. M., & Schiebe, F. R. (1990). The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi. Remote Sensing of Environment, 33, 137–178.

    Article  Google Scholar 

  • Su, L., Li, X. W., Liang, S., & Strahler, A. H. (2003). Simulation of scaling effects of thermal emission from non-isothermal pixels with the typical three-dimensional structure. Internal Journal of Remote Sensing, 24(19), 3743–3743.

    Article  Google Scholar 

  • Welschmeyer, N. A. (1994). Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments. Limnology and Oceanography, 39, 1985–1992.

    Article  Google Scholar 

  • Werdell, P. J., Bailey, S. W., Franz, B. A., Harding, L. W., Feldman, G. C., & McClain, C. R. (2009). Regional and seasonal variability of chlorophyll-a in Chesapeak Bay as observed by SeaWiFS and MODIS-Aqua. Remote Sensing of Environment, 113, 1319–1330.

    Article  Google Scholar 

  • Woodcock, C. E., & Strahler, A. H. (1987). The factor of scale in remote sensing. Remote Sensing Environment, 21, 311–332.

    Article  Google Scholar 

  • Zhang, C., Hu, C., Shang, S., Müller-Karger, F. E., Li, Y., Dai, M., Huang, B., Ning, X., & Hong, H. (2006). Bridging between SeaWiFS and MODIS for continuity of chlorophyll-a concentration assessments off Southeastern China. Remote Sensing of Environment, 102, 250–263.

    Article  Google Scholar 

  • Zhang, M. W., Tang, J. W., Dong, Q., Song, Q., & Ding, J. (2010). Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery. Remote Sensing Environment, 114, 392–403.

    Article  Google Scholar 

  • Zhang, Y. L., Zhang, B., Wang, X. L., Feng, S., & Zhao, Q. H. (2007). A study of absorption characteristics of chromophoric dissolved organic matter and particles in lake Taihu, China. Hydrobiologia, 592, 105–120.

    Article  Google Scholar 

Download references

Acknowledgement

Thanks for Chander providing the RSRs of IRS-P6. This study is supported by the open fund of Key Laboratory of Marine Hydrocarbon Resources and Environmental Geology (MRE201109) and China National Great Geological Survey (GZH200900504).

Author information

Authors and Affiliations

  1. The Key Laboratory of Marine Hydrocarbon Resources and Geology, Qingdao, 266071, China

    Jun Chen

  2. Geomatics & Survey Center of Taihu Zhou, Taizhou, 318000, China

    Xunfei Hu

  3. Shaanxi Remote Sensing Information Center for Agriculture, Xi’an, 710000, China

    Wenting Quan

Authors
  1. Jun Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xunfei Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wenting Quan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun Chen.

About this article

Cite this article

Chen, J., Hu, X. & Quan, W. Scale Effects on Chlorophyll-A Concentration Retrieved: Assessment and Validation Using Indian Remote Sensing Satellite. J Indian Soc Remote Sens 41, 105–116 (2013). https://doi.org/10.1007/s12524-012-0204-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-012-0204-9

Keywords

Search

Navigation