Publication(s) with 2015-07 dataset

<2017-49>
Cao, N., H. Lee, E. Zaugg, R. Shrestha, W. Carter, C. Glennie, G. Wang, Z. Lu, and J. Fernandez-Diaz (2017), Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study over the Slumgullion Landslide in Colorado with Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-based Observations, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (11), 4987-5000, doi: 10.1109/JSTARS.2017.2737362
<2018-16>
Cao, N., H. Lee, E. Zaugg, R. Shrestha, W. Carter, C. Glennie, Z. Lu, and H. Yu (2018), Estimation of Residual Motion Errors in Airborne SAR Interferometry Based on Time-Domain Backprojection and Multisquint Techniques, IEEE Transactions on geoscience and Remote Sensing, 56(4), 2397-2407, doi: 10.1109/TGRS.2017.2779852
<2018-114>
Xiong, L., G. Wang, Y. Bao, X. Zhou, X. Sun, and R. Zhao (2018), Detectability of Repeated Airborne Laser Scanning for Mountain Landslide Monitoring, Geosciences, 8(12), 469, doi: 10.3390/geosciences8120469
<2019-02>
Amitrano, D., R. Guida, D. Aglio, G. Martino, D. Martire, A. Iodice, M. Costantini, F. Malvarosa, and F. Minati (2019), Long-Term Satellite Monitoring of the Slumgullion Landslide Using Space-Borne Synthetic Aperture Radar Sub-Pixel Offset Tracking, Remote Sensing, 11(3), 369, doi: 10.3390/rs11030369
<2019-33>
Madson, A., E. Fielding, Y. Sheng, and K. Cavanaugh (2019), High-Resolution Spaceborne, Airborne and In Situ Landslide Kinematic Measurements of the Slumgullion Landslide in Southwest Colorado, Remote Sensing, 11(3), 265, doi: 10.3390/rs11030265
<2020-20>
Hu, X. and R. Burgmann (2020), Rheology of a Debris Slide from the Joint Analysis of UAVSAR and LiDAR Data, Geophysical Research Letters, 47, doi: 10.1029/2020GL087452
<2020-66>
Hu, X., R. Burgmann, W. Schulz, and E. Fielding (2020), Four-Dimensional Surface Motions of the Slumgullion Landslide and Quantification of Hydrometeorological Forcing, Nature Communications, 11(1), doi: 10.1038/s41467-020-16617-7