Inversion of Terrain Slope and Roughness with Satellite Laser Altimeter Full-Waveform Data Assisted by Shuttle Radar Topographic Mission

نویسندگان

چکیده

Slope and roughness are basic geophysical properties of terrain surface, also sources error in satellite laser altimetry systems. The full-waveform altimeter records the complete echo waveform backscattered from target surface worldwide, so it may be used for both range measurement inversion analysis geometric parameters surface. This paper proposes a new method slope bare or near-bare within footprint using data, Shuttle Radar Topographic Mission (SRTM) topographic prior knowledge. To solve non-uniqueness solution to problem, this SRTM airborne Light Detection Ranging (LiDAR) data North Rhine-Westphalia, Germany, establish priori hypothesis about real information parameters. Then, under constraints hypothesis, theoretical formulas rules pulse-width broadening knowledge were developed. Finally, based on Geoscience Laser Altimeter System (GLAS) that was borne ICE, Cloud, Land Elevation Satellite (ICESat) West Valley City, Utah Jackson Wyoming, United States America, carried out. experiment compares results proposed with those existing ones evaluates high precision information, which indicates our is superior state-of-the-art methods, accuracy 0.667° (Mean Absolute Error, MAE) 1.054° (Root Mean Square RMSE), 0.171 m (MAE) 0.250 (RMSE).

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Validation of surface height from shuttle radar topography mission using shuttle laser altimeter

Spaceborne Interferometric SAR (InSAR) technology used in the Shuttle Radar Topography Mission (SRTM) and spaceborne lidar such as Shuttle Laser Altimeter-02 (SLA-02) are two promising technologies for providing global scale digital elevation models (DEMs). Each type of these systems has limitations that affect the accuracy or extent of coverage. These systems are complementary in developing DE...

متن کامل

Terrain Roughness Parameters from Full-waveform Airborne Lidar Data

As an active remote sensing technique airborne laser scanning (ALS) is able to capture the topography with high precision even for densely forested areas. Due to the high pulse repetition frequency of up to 400 kHz a high sampling rate on the ground can be achieved, which allows the description of the terrain surface in decimeter scale. In this contribution two approaches to characterize terrai...

متن کامل

Simulation of Full-waveform Laser Altimeter Echo Waveform

Change of globe surface height is an important factor to study human living environment. The Geoscience Laser Altimeter System (GLAS) on ICESat is the first laser-ranging instrument for continuous global observations of the Earth. In order to have a comprehensive understanding of full-waveform laser altimeter, this study simulated the operating mode of ICESat and modeled different terrains’ (pl...

متن کامل

Extracting Topographic Features From Shuttle Radar Topography Mission (SRTM) Images

This report addresses the problem of extracting topographic features from Shuttle Radar Topography Mission (SRTM) imagery. The features are used for Earth science applications and include slope, curvature, aspect, flow direction, flow accumulation and compound topographic index (CTI). The objective of our work is (1) to support topographic feature extraction similar to the one in ArcGIS, (2) to...

متن کامل

Modeling small watersheds in Brazilian Amazonia with shuttle radar topographic mission-90 m data

This work presents a methodology for the refinement of shuttle radar topographic mission (SRTM-90m) data available for South America to enable detailed watershed studies in Amazonia. The original data were pre-processed to properly map detailed low-order drainage features and allowed digital estimates of morphometric variables. Spatial-resolution refinement (300 to 100, or 90 to 30m) through da...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13030424