Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

damen, m. c. j.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856641294

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Water quality monitoring of Lake Balaton using LANDSAT MSS data. H. Shimoda, M. Etaya & T. Sakata, L. Goda & K. Stelczer

Document type:: Multivolume work

Structure type:: Chapter

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Water quality monitoring of Lake Balaton using LANDSAT MSS data H.Shimoda, M.Etaya & T.Sakata Tokai University Research & Information Center (TRIC), Tokyo, Japan L.Goda & K.Stelczer Research Center for Water Resources Development (VITUKI), Budapest, Hungary ABSTRACT: Water quality monitoring of Lake Balaton in Hungary was studied using LANDSAT MSS data. Ground truth measurements were done simultaneously with the data acquisition of MSS data and fourteen items of water qualities were measured on the lake. After certain pre processing of MSS data, linear multi regression analyses were made between MSS data and ground truth data. Nine items among the water qualities showed correlations to the MSS data, especially transparency, chlorophyll-a, UV extinction and oxygen saturation showed sufficient and strong correlations. These four kinds of water quality patterns were clearly extracted. 1. INTRODUCTION A water management has become one of the most important element for our life now. In this field, it is necessary to know the present status of water qualities periodically in order to control the water resources. A sattelite remote sensing is a powerful tool in this field. In Hungary, studies of water managements are being done very actively. Lake Balaton is the largest water source in this country. The regulation of this lake is a continuous task of undiminishing importance. In this report, a joint research for water quality monitoring of Lake Balaton using LANDSAT MSS data by TRIC in Japan and VITUKI in Hungary is described. 2. STUDY AREA AND DATA ACQUISITION In this study, the target area is the west part of Lake Balaton including Keszthely and Fonyod. System corrected LANDSAT MSS image covering the study area, acquired on the 2nd of July, 1981, was used for this study. Lake Balaton and the target area are shown in Figure 1 and Figure 2, respectively. Ground truth measurements on the lake were done simultaneously with the data acquisition of MSS data. Fourteen items of water qualities were measured at thirty points shown in Figure 3. These items are as follows. 1) Transparency (TR) 2) Suspended solid concentrations (SS) 3) Chlorophyll-a (CH) 4) Water temperature (TM) 5) Oxygen saturation (OX) 6) Light energy on the water surface (LE) 7) Light energy reflected from the water surface (RF) 8) Light energy penetration (PE) 9) UV extinction (UV) 10) Acid soluble phosphorus concentrations (PS) 11) Acid soluble calsium concentrations (CA) 12) Acid soluble magnesium concentrations (MA) 13) The ratios of acid soluble calsium and phosphorus (CP) 14) The ratios of acid solbule magnesium and phosphorus (MP) 3. PREPROCESSING The first step of data analyses was a preprocessing. In LANDSAT MSS data, there exists striping noises which were caused by the differences among responses of six detectors. This striping noise has big influences especially on a water quality monotoring because of low reflectances of waters. These noises were carefully eliminated using following three algorithms. 1) Mean and standard deviation matching 2) Histgram equalization 3) Random noises addition. The method of 1) or 2) is generally used to eliminate striping noises from LANDSAT MSS image. However, these method can not fully eliminate scan line noises, because of quantization errors. In this study, these residual scan line noises were corrected by the method of 3) in order to improve the image quality. Random noises cancel the quantization errors and allow to make histograms continuously for each detectors. Figure 4 and Figure 5 show the original MSS image and destriped image. 4. IMAGE ANALYSES AND RESULTS Image analyses were made by TIAS(Tokai Image Analysis System) 2000. Multi regression analyses were made between fourteen items of ground truth data and four kinds of image signatures, i.e. original MSS values, mean values of 3 x3 pixels window, normalized values within 4 bands and ratios of band 4 and band 5.

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