Open AccessGoogle earth engine and landsat data for detecting inundation changes in Limboto lake
Author(s) -
Rakhmat Jaya Lahay,
Syahrizal Koem
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/739/1/012087
Subject(s) - geospatial analysis , environmental science , remote sensing , hydrology (agriculture) , physical geography , geology , geography , geotechnical engineering
Limboto Lake has environmental degradation due to the high sedimentation rate. Based on that fact, monitoring of inundation change is needed for upcoming lake management. The dynamics of Limboto lake inundation can be detected by utilizing remote sensing data. The emergence of cloud computing-based geospatial technology allows its users to automatize remote sensing data preparation and processing procedures. The study attempted to investigate the dynamics of Limboto lake inundation within the time frame of 2001-2019. The detection was conducted by incorporating the Landsat data and water index method through Google Earth Engine (hence, GEE) interface. The observation year was chosen to start from 2001 due to the Landsat 7 ETM + images were completely available for a year (11 months). The results displayed that the lake’s inundation area’s dynamics during the observed time frame tended to show a trend of shrinkage in size. The shrinkage mostly took place at the west and northwest part of Limboto lake. The shrinkage that occurred at the lake inundation area is to be treated as a warning sign for decision-makers to formulate a decision to handle the potential negative impacts of the lake inundation shrinkage.