The aim of this study was to test the effectiveness of the Advanced Land Observing Satellite Digital Elevation Model (ALOS DEM) for drainage network extraction. ALOS PALSAR – Radiometric Terrain Correction Creation of radiometrically terrain-corrected (RTC) products is a project of the Alaska Satellite Facility that makes SAR data accessible to a broader community of users….

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2. The effectiveness of Advanced Land Observing Satellite - Phased Array type L-band Synthetic Aperture Radar Digital Elevation Model in extracting drainage networks and depressions.

The table below summarizes the various DEM sources and the map indicates which DEM will be used in a given area. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. Although extensive studies have been conducted on water availability in the basin, no attempts have been made to update existing hydrological maps which provide limited information on the impacts of geo-hydrological dynamics in the area. The usefulness of alos-palsar dem data for drainage extraction in semi-arid environments in The Iishana sub-basin. You can filter to include only the Lo-Res Terrain Correction and High-Res Terrain Correction product. Published by Elsevier B.V. The resulting drainage networks will be used to update the current hydrographic map of the area which will aid in the development of flood and drought mitigating measures for environmental management. © 2018 The Authors.

ArcHydro tools were used for drainage feature extraction. PALSAR has a ScanSAR observation mode, with a swath (250-350 km) that is three to five times wider than conventional SAR images. PALSAR Technical Specs — Beam Modes PALSAR has two fine beam modes: single polarization (FBS) and dual polarization (FBD), as well as quad polarization, also known as polarimetric mode (PLR). The results show that ALOS DEM is capable of extracting drainage networks within the Iishana sub-basin. The accuracy of extracted drainage networks was assessed through visual observation of data overlay and the coefficient of line correspondence (CLC).

Copyright © 2020 Elsevier B.V. or its licensors or contributors. Alaska Satellite Facility: find and download SAR, InSAR, and other data. ALOS is equipped with three remote-sensing instruments: the Panchromatic Remote-sensing Instrument Stereo Mapping (PRISM) to measure precise land elevation, the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) to observe what covers land surfaces, and the Phased Array type L-band Synthetic Aperture Radar (PALSAR) to enable day-and-night and all-weather land observations. Researchers can download open-access ALOS PALSAR data from the NASA-sponsored ASF DAAC. The use of the wetness index to aid in the identification of complex ephemeral drainage networks. Source DEMs Used for ALOS PALSAR RTC for Data Processing The quality of an ALOS PALSAR RTC product is directly related to the quality of the digital elevation model (DEMs) used in the radiometric terrain correction (RTC) process. The CLC computed metric obtained a 0.91 match between extracted and delineated drainage networks. By continuing you agree to the use of cookies.

Global 25m resolutions PALSAR-2/PALSAR mosaic and forest/non-forest map are free and open dataset generated by applying JAXA's powerful processing and sophisticated analysis method/techniques to a lot of images obtained with Japanese L-band Synthetic Aperture Radars (PALSAR and PALSAR-2) on Advanced Land Observing Satellite (ALOS) and Advanced Land Observing Satellite-2 (ALOS …


Remotely sensed data The ALOS DEM with 12.5 m resolution, downloaded from the Alaska Satellite Facility (ASF) Distributed Active Archive Center (DAAC) was used to identify and automatically extract drainage networks in the study area.

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Click on the Dataset and select ALOS PALSAR.

PALSAR (Phased Array type L-band Synthetic Aperture Radar) is an L-band SAR with 10 and 100 m resolutions that are capable of detailed, all-weather, day and night observations and repeat-pass interferometry.

In the past decade, the basin has experienced frequent droughts and flooding events due to recent weather anomalies possibly enhanced by the sprawling urban development. The study area is the Iishana sub-basin located in north-central Namibia. The basin is characterised by low-lying interconnected ephemeral drainage networks locally known as Iishana. Validation of extracted networks was based on field observations and delineated networks from earth observation data and Normalized Difference Wetness Index (NDWI). The updating of existing hydrological maps for improved information extraction on the impacts of geo-hydrological dynamics in arid to semi-arid environments. Draw your area of interest by dragging the mouse to create a rectangle bounding box.

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