A global corrected SRTM DEM product for vegetated areas-Reference-Cited by-同舟云学术

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A global corrected SRTM DEM product for vegetated areas

Published:2018-01-26 Issue:4 Volume:9 Page:393-402
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhao Xiaoqian¹²,Su Yanjun¹³^ORCID,Hu Tianyu¹,Chen Linhai¹,Gao Shang¹²,Wang Rui¹²,Jin Shichao¹²,Guo Qinghua¹³

Affiliation:

1. State Key Laboratory of Vegetation and Environmental hange, Institute of Botany, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Sierra Nevada Research Institute, School of Engineering, University of California at Merced, Merced, CA, USA

Funder

National Science Foundation

National Key R&D Program of China

National Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1425560

Reference37 articles.

1. SRTM vegetation removal and hydrodynamic modeling accuracy

2. Biases of SRTM in high-mountain areas: Implications for the monitoring of glacier volume changes

3. Limitations in the Hydrologic Applications of C-Band SRTM DEMs in Low-Relief Settings

4. Assessment of C-band SRTM DEM in a dense equatorial forest zone

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1. Comparison of five methods for improving the accuracy of SRTM3 DEM and TanDEM-X DEM in the Qinghai-Tibet Plateau using ICESat-2 data;International Journal of Digital Earth;2024-08-19

2. Vertical Accuracy Assessment and Improvement of Five High-Resolution Open-Source Digital Elevation Models Using ICESat-2 Data and Random Forest: Case Study on Chongqing, China;Remote Sensing;2024-05-25

3. Improved Mapping of Regional Forest Heights by Combining Denoise and LightGBM Method;Remote Sensing;2023-11-21

4. Increased Vegetation Productivity of Altitudinal Vegetation Belts in the Chinese Tianshan Mountains despite Warming and Drying since the Early 21st Century;Forests;2023-11-03

5. SRTM DEM Correction Based on PSO-DBN Model in Vegetated Mountain Areas;Forests;2023-10-01

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