Results 1 to 10 of about 12,699,384 (343)

Constructing Reservoir Area–Volume–Elevation Curve from TanDEM-X DEM Data [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Area-volume-elevation (AVE) curves are critical for reservoir operation rules. However, such curves are not publicly available for most global reservoirs.
Yao Li   +3 more
doaj   +3 more sources

Large-Scale Forest Height Mapping by Combining TanDEM-X and GEDI Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The present study addresses the development, implementation, and validation of a forest height mapping scheme based on the combination of TanDEM-X interferometric coherence and GEDI waveform measurements.
Changhyun Choi   +7 more
doaj   +2 more sources

TanDEM-X: 10 Years of Formation Flying Bistatic SAR Interferometry

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
On June 21, 2010, the TanDEM-X mission was launched and opened a new era in spaceborne radar remote sensing. The first formation flying radar system was built by extending the TerraSAR-X synthetic aperture radar (SAR) mission by a second, TerraSAR-X-like
Manfred Zink   +12 more
doaj   +2 more sources

TanDEM-X PolarDEM 90 m of Antarctica: generation and error characterization [PDF]

open access: yesThe Cryosphere, 2021
We present the generation and validation of an updated version of the TanDEM-X digital elevation model (DEM) of Antarctica: the TanDEM-X PolarDEM 90 m of Antarctica.
B. Wessel   +13 more
doaj   +2 more sources

Applicability of Data Acquisition Characteristics to the Identification of Local Artefacts in Global Digital Elevation Models: Comparison of the Copernicus and TanDEM-X DEMs

open access: yesRemote Sensing, 2021
Several global digital elevation models (DEMs) have been developed in the last two decades. The most recent addition to the family of global DEMs is the TanDEM-X DEM.
Jana Marešová   +7 more
doaj   +2 more sources

Sub-Canopy Topography Estimation from TanDEM-X DEM by Fusing ALOS-2 PARSAR-2 InSAR Coherence and GEDI Data [PDF]

open access: yesSensors, 2020
This paper develops a framework for extracting sub-canopy topography from the TanDEM-X digital elevation model (DEM) by fusing ALOS-2 PARSAR-2 interferometric synthetic aperture radar (InSAR) coherence and Global Ecosystem Dynamics Investigation (GEDI ...
Pengyuan Tan   +5 more
doaj   +2 more sources

Use of TanDEM-X and SRTM-C Data for Detection of Deforestation Caused by Bark Beetle in Central European Mountains

open access: yesRemote Sensing, 2021
The availability of global digital elevation models (DEMs) from multiple time points allows their combination for analysing vegetation changes. The combination of models (e.g., SRTM and TanDEM-X) can contain errors, which can, due to their synergistic ...
Kateřina Gdulová   +5 more
doaj   +2 more sources

Reconstruction and Evaluation of DEMs From Bistatic Tandem-X SAR in Mountainous and Coastal Areas of China

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
TerraSAR-X add-on for Digital Elevation Measurements (TanDEM-X) mission is designed to generate 3-D images of the Earth as the first bistatic synthetic aperture radar (SAR).
Peng Li   +5 more
doaj   +2 more sources

Investigating the bias of TanDEM-X digital elevation models of glaciers on the Tibetan Plateau: impacting factors and potential effects on geodetic mass-balance measurements

open access: yesJournal of Glaciology, 2021
The TanDEM-X DEM is a valuable data source for estimating glacier mass balance. However, the accuracy of TanDEM-X elevation over glaciers can be affected by microwave penetration and phase decorrelation.
Jia Li   +9 more
doaj   +2 more sources

Forest Height Estimation by Means of TanDEM-X InSAR and Waveform Lidar Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Model-based forest height inversion from Pol-InSAR data relies on the realistic parameterization of the underlying (vertical) radar reflectivity function.
Roman Guliaev   +3 more
doaj   +2 more sources

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