Next Article in Journal
Improving the Accuracy of Open Source Digital Elevation Models with Multi-Scale Fusion and a Slope Position-Based Linear Regression Method
Next Article in Special Issue
Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data
Previous Article in Journal
Characteristics of BeiDou-3 Experimental Satellite Clocks
Open AccessTechnical Note

Technical Methodology for ASTER Global Water Body Data Base

Sensor Information Laboratory Corp, 2-23-36 Shihaugaoka, Tsukubamirai, Ibaraki 300-2359, Japan
Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba Central 7, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567, Japan
Research Center for Advanced Science and Technology, University of Tokyo, 4-6-1, Komaba, Meguro, Tokyo 153-8904, Japan
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(12), 1860;
Received: 3 October 2018 / Revised: 31 October 2018 / Accepted: 16 November 2018 / Published: 22 November 2018
(This article belongs to the Special Issue ASTER 20th Anniversary)
A waterbody detection technique is an essential part of a digital elevation model (DEM) generation to delineate land–water boundaries and set flattened elevations. This paper describes the technical methodology for improving the initial tile-based waterbody data that are created during production of the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) GDEM, because without improvement such tile-based waterbodies data are not suitable for incorporating into the new ASTER GDEM Version 3. Waterbodies are classified into three categories: sea, lake, and river. For sea-waterbodies, the effect of sea ice is removed to better delineate sea shorelines in high latitude areas: sea ice prevents accurate delineation of sea shorelines. For lake-waterbodies, the major part of the processing is to set the unique elevation value for each lake using a mosaic image that covers the entire lake area. Rivers present a unique challenge, because their elevations gradually step down from upstream to downstream. Initially, visual inspection is required to separate rivers from lakes. A stepwise elevation assignment, with a step of one meter, is carried out by manual or automated methods, depending on the situation. The ASTER global water database (GWBD) product consists of a global set of 1° latitude-by-1° longitude tiles containing water body attribute and elevation data files in geographic latitude and longitude coordinates and with one arc second posting. Each tile contains 3601-by-3601 data points. All improved waterbody elevation data are incorporated into the ASTER GDEM to reflect the improved results. View Full-Text
Keywords: ASTER instrument; stereo; digital elevation model; global database; optical sensor; water body detection ASTER instrument; stereo; digital elevation model; global database; optical sensor; water body detection
Show Figures

Graphical abstract

MDPI and ACS Style

Fujisada, H.; Urai, M.; Iwasaki, A. Technical Methodology for ASTER Global Water Body Data Base. Remote Sens. 2018, 10, 1860.

AMA Style

Fujisada H, Urai M, Iwasaki A. Technical Methodology for ASTER Global Water Body Data Base. Remote Sensing. 2018; 10(12):1860.

Chicago/Turabian Style

Fujisada, Hiroyuki; Urai, Minoru; Iwasaki, Akira. 2018. "Technical Methodology for ASTER Global Water Body Data Base" Remote Sens. 10, no. 12: 1860.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop