scholarly journals The Evaluation of the Result of Post-Processing Envisat Satellite Altimetry Data Used for Coastal Area Potential Flood Mapping (Case Study: Coastal Area of Buleleng Regency, Bali, Indonesia)

2014 ◽  
Vol 20 ◽  
pp. 651-657
Author(s):  
Leni. S. Heliani ◽  
I Wayan Krisna Eka Putra ◽  
Subaryono
Keyword(s):  
Coastal Area ◽  
Satellite Altimetry ◽  
Flood Mapping ◽  
Altimetry Data ◽  
Post Processing ◽  
Satellite Altimetry Data

scholarly journals Treating the Hooking Effect in Satellite Altimetry Data: A Case Study along the Mekong River and Its Tributaries

2016 ◽  
Vol 8 (2) ◽  
pp. 91 ◽  
Author(s):  
Eva Boergens ◽  
Denise Dettmering ◽  
Christian Schwatke ◽  
Florian Seitz
Keyword(s):  
Satellite Altimetry ◽  
Mekong River ◽  
Altimetry Data ◽  
Satellite Altimetry Data

scholarly journals Sea Level Rise of Sumatera Waters based on Multi-Satellite Altimetry Data

2018 ◽  
Vol 50 (2) ◽  
pp. 162
Author(s):  
Isna Uswatun Khasanah
Keyword(s):  
Linear Regression ◽  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Area ◽  
Satellite Altimetry ◽  
Altimetry Data ◽  
Global Test ◽  
Mean Sea Level ◽  
West Sumatra ◽  
Satellite Altimetry Data

The information of sea level rise was needed in the Indonesia as archipelago country to management risk and development coastal area. This research study took in West Sumatra waters, because the majority people have lived in coastal area and some areas is located below 100 m above Mean Sea Level (MSL). The sea level data was taken from multi-satellite altimetry, they are Topex/Poseidon, Jason-1, and Jason-2. The period of data started from 1993 until 2015.Preliminary data processing of satellite altimetry was done by global test and post-processing of satellite altimetry data. The sea level rise analysis done by linear regression methods. Linear regression formula of sea level rise in West Sumatra Waters during the period was  y = 1.586 + 0.0000113x. The change of sea level during period 1993 until 2015 was 3.394 cm with mean sea level rise value was 1.35 mm/year

scholarly journals STUDY OF SEA LEVEL RISE USING SATELLITE ALTIMETRY DATA (A case study: Sea Of Semarang)

Geoid ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. 176
Author(s):  
M. Nur Cahyadi ◽  
Lalu Muhamad Jaelani ◽  
Aryasandah H. Dewantoro
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Satellite Altimetry ◽  
Altimetry Data ◽  
Satellite Altimetry Data

Eddy properties in the Pacific sector of the Southern Ocean from satellite altimetry data

2016 ◽  
Vol 35 (11) ◽  
pp. 28-34 ◽  
Author(s):  
Yongliang Duan ◽  
Hongwei Liu ◽  
Weidong Yu ◽  
Yijun Hou
Keyword(s):  
Southern Ocean ◽  
Satellite Altimetry ◽  
Altimetry Data ◽  
The Pacific ◽  
Satellite Altimetry Data

Kuroshio variations in the upstream region as seen by HF radar and satellite altimetry data

2008 ◽  
Vol 29 (21) ◽  
pp. 6417-6426 ◽  
Author(s):  
K. Ichikawa ◽  
R. Tokeshi ◽  
M. Kashima ◽  
K. Sato ◽  
T. Matsuoka ◽  
...  
Keyword(s):  
Satellite Altimetry ◽  
Hf Radar ◽  
Upstream Region ◽  
Altimetry Data ◽  
Satellite Altimetry Data

scholarly journals Evaluation of Marine Gravity Anomaly Calculation Accuracy by Multi-Source Satellite Altimetry Data

2021 ◽  
Vol 9 ◽  
Author(s):  
Shanwei Liu ◽  
Yinlong Li ◽  
Qinting Sun ◽  
Jianhua Wan ◽  
Yue Jiao ◽  
...  
Keyword(s):  
Root Mean Square Error ◽  
Gravity Anomaly ◽  
Mean Square Error ◽  
Spatial Resolution ◽  
Satellite Altimetry ◽  
Gravity Anomalies ◽  
Mean Square ◽  
Altimetry Data ◽  
Marine Gravity ◽  
Satellite Altimetry Data

The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were classified into three groups: A, B, and C, according to the track density, the accuracy of the altimetry satellites, and the differences of self-crossover. Group A contains CryoSat-2, group B includes Geosat, ERS-1, ERS-2, and Envisat, and group C comprises T/P, Jason-1/2/3, HY-2A, SARAL, and Sentinel-3A. In Experiment I, the 5′×5′ marine gravity anomalies were obtained based on the data of groups A, B, and C, respectively. Compared with the shipborne gravity data, the root mean square error (RMSE) of groups A, B, and C was 4.59 mGal, 4.61 mGal, and 4.51 mGal, respectively. The results show that high-precision satellite altimetry data can improve the calculation accuracy of gravity anomaly, and the single satellite CryoSat-2 enables achieving the same effect of multi-satellite joint processing. In Experiment II, the 2′×2′ marine gravity anomalies were acquired based on the data of groups A, A + B, and A + C, respectively. The root mean square error of the above three groups was, respectively, 4.29 mGal, 4.30 mGal, and 4.21 mGal, and the outcomes show that when the spatial resolution is satisfied, adding redundant low-precision altimetry data will add pressure to the calculation of marine gravity anomalies and will not improve the accuracy. An effective combination of multi-satellite data can improve the accuracy and spatial resolution of the marine gravity anomaly inversion.

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