IDENTIFIKASI STATUS TROFIK PERAIRAN MENGGUNAKAN DATA PENGINDERAAN JAUH CITRA LANDSAT-8 OLI (OPERATIONAL LAND IMAGER) DI WADUK SUTAMI (KARANGKATES) JAWA TIMUR
| Main Authors: | , TEDY PRIADI, , Drs. Sudaryatno, M.Si. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/129394/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=69785 |
Daftar Isi:
- Water quality in a reservoir is very important to be monitored periodically. Because of its high utilization for various human activity and also environment degradation that happens. One of degradated water quality case that usually happens is eutrophication, that well seen by increased trophic state. This research aimed to test the ability of Landsat-8 OLI for identify trophic status of Sutami reservoir, and examine the relationship between trophic status parameters. There is an index that widely used for analyzing trophic state over a body of a water, named Carlson Trophic State Index (CTSI). This CTSI is obtained from 3 water quality parameter, which are chlorophyll-a concentration, secchi disk transparency (SD), and total phosphorus (TP). Trophic state parameter that have particular optical characteristics such as chlorophyll-a concentration and SD provides a chance to be analyzed by remote sensing approach. Remote sensing imagery such as Landsat, with it�s latest generation Landsat-8 OLI widely used for water quality study. Using of remote sensing approach for monitoring have more benefit in spatial and temporal data representation. A good statistical relation value (based on R2 value) retrieved from regression between band ratio Landsat-8 OLI and field measurement data. A very good statistical relation value retrieved from band ratio of band 2,3 and 4 from Landsat-8 OLI with chlorophyll-a concentration (R2 = 0,774), and total phosphorus (R2 = 0,646). While a pretty good statistical relation value retrieved from band ratio of band 2 and 4 with secchi disk transparency (R2 = 0,554). Statistical analysis showed that the Landsat-8 OLI good enough to estimate the condition of each trophic state parameters. Keywords : Sutami reservoirs, Eutrophication, Landsat-8 OLI, Band Ratio, Remote Sensing