ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 55-62, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W2/55/2015/
doi:10.5194/isprsannals-II-2-W2-55-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Oct 2015
DEVELOPMENT OF WATER QUALITY PARAMETER RETRIEVAL ALGORITHMS FOR ESTIMATING TOTAL SUSPENDED SOLIDS AND CHLOROPHYLL-A CONCENTRATION USING LANDSAT-8 IMAGERY AT POTERAN ISLAND WATER
N. Laili1, F. Arafah1, L. M. Jaelani1, L. Subehi5, A. Pamungkas2, E. S. Koenhardono3, and A. Sulisetyono4 1Dept. of Geomatics Engineering, Faculty of Civil Engineering and Planning
2Dept. of Urban and Regional Planning, Faculty of Civil Engineering and Planning
3Dept. of Marine Engineering, Faculty of Marine Technology
4dDept. of Naval Architecture and Shipbuilding Engineering, Faculty of Marine Technology, Institut Teknologi Sepuluh Nopember, Surabaya, 60111, Indonesia
5Research Centre for Limnology, Indonesian Institute of Sciences, Cibinong Science Centre, 16911, Indonesia
Keywords: Total Suspended Solids, Chlorophyll-A, Landsat-8, Poteran Island Water Abstract. The Landsat-8 satellite imagery is now highly developed compares to the former of Landsat projects. Both land and water area are possibly mapped using this satellite sensor. Considerable approaches have been made to obtain a more accurate method for extracting the information of water area from the images. It is difficult to generate an accurate water quality information from Landsat images by using some existing algorithm provided by researchers. Even though, those algorithms have been validated in some water area, but the dynamic changes and the specific characteristics of each area make it necessary to get them evaluated and validated over another water area. This paper aims to make a new algorithm by correlating the measured and estimated TSS and Chla concentration. We collected in-situ remote sensing reflectance, TSS and Chl-a concentration in 9 stations surrounding the Poteran islands as well as Landsat 8 data on the same acquisition time of April 22, 2015. The regression model for estimating TSS produced high accuracy with determination coefficient (R2), NMAE and RMSE of 0.709; 9.67 % and 1.705 g/m3 respectively. Whereas, Chla retrieval algorithm produced R2 of 0.579; NMAE of 10.40% and RMSE of 51.946 mg/m3. By implementing these algorithms to Landsat 8 image, the estimated water quality parameters over Poteran island water ranged from 9.480 to 15.801 g/m3 and 238.546 to 346.627 mg/m3 for TSS and Chl-a respectively.
Conference paper (PDF, 1318 KB)


Citation: Laili, N., Arafah, F., Jaelani, L. M., Subehi, L., Pamungkas, A., Koenhardono, E. S., and Sulisetyono, A.: DEVELOPMENT OF WATER QUALITY PARAMETER RETRIEVAL ALGORITHMS FOR ESTIMATING TOTAL SUSPENDED SOLIDS AND CHLOROPHYLL-A CONCENTRATION USING LANDSAT-8 IMAGERY AT POTERAN ISLAND WATER, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 55-62, doi:10.5194/isprsannals-II-2-W2-55-2015, 2015.

BibTeX EndNote Reference Manager XML