000006707 001__ 6707
000006707 005__ 20240131045904.0
000006707 0247_ $$2DOI$$a10.1109/APSAR58496.2023.10388947
000006707 037__ $$aSCART-2024-0063
000006707 100__ $$aHayati, N.
000006707 245__ $$aThe Use of MODIS and Sentinel-1 Data Fusion to Estimate Precipitable Water Vapor Values
000006707 260__ $$c2023
000006707 520__ $$aPrecipitable Water Vapor (PWV) describes the amount of water vapor in the atmosphere that potentially becomes rain. Along with the development of the space geodetic technique, water vapor can be observed using the remote sensing technology. This research uses an integration of active and optical remote sensing data which are Sentinel-1 and MODIS. Since interferogram generated by Sentinel-1 SAR images contains tropospheric delay, it can be substracted as Short Wavelength Delay (SWD) which a part of PWV value. Furthermore, the absolute PWV value is obtained by extracting parameters from MODIS atmosphere level-2. MODIS provides PWV values for reconstructing the Elevation Dependent Delay (EDD) and Long Wavelength Delay (LWD) components. We used 118 epochs to represent the rainy and dry seasons between March 2017–February 2021. The result shows that a maximum absolute PWV value of 68 mm occurred on 22/2/2020 which belongs to the time of rainy season. The estimation recorded a minimum PWV value of 20 mm on 7/6/2017 and 14/6/2018. June is when Indonesia usually experiences a dry season. Generally, the maximum and minimum daily average absolute PWV values are 68.6845 mm and 1.5884 mm, respectively.
000006707 594__ $$aNO
000006707 6531_ $$aSatellite constellations
000006707 6531_ $$aRain
000006707 6531_ $$aEuropean Space Agency
000006707 6531_ $$aOptical imaging
000006707 6531_ $$aRadar polarimetry
000006707 6531_ $$aDelays;Optical sensors
000006707 6531_ $$aLong Wavelength Delay
000006707 6531_ $$aMODIS Level-2
000006707 6531_ $$aPrecipitable Water Vapor
000006707 6531_ $$aPS-InSAR
000006707 700__ $$aPutri, S.F.
000006707 700__ $$aBamahry, F.
000006707 700__ $$aSumantyo, J.T.S.
000006707 700__ $$aBioresite, F.
000006707 773__ $$c1-5$$p2023 8th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)$$y2023
000006707 8560_ $$ffikri.bamahry@ksb-orb.be
000006707 905__ $$apublished in
000006707 980__ $$aREFERD