Sensors (Basel, Switzerland)

International journal of environmental research and public health

[1] Permafrost Deformation Monitoring Along the Qinghai-Tibet Plateau Engineering Corridor Using InSAR Observations with Multi-Sensor SAR Datasets from 1997-2018.

[2] Monitoring Differential Subsidence along the Beijing-Tianjin Intercity Railway with Multiband SAR Data.

[3] A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

[4] insar detection and field evidence for thermokarst after a tundra wildfire, using alos-palsar

[5] forest canopy heights in the pacific northwest based on insar phase discontinuities across short spatial scales

[6] high-rise building layover exploitation with non-local frequency estimation in sar interferograms

[7] stamps improvement for deformation analysis in mountainous regions: implications for the damavand volcano and mosha fault in alborz

[8] interferometric sar dems for forest change in uganda 2000–2012

[9] Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy

[10] Detection of underground mining induced land subsidence using Differential Interferometric SAR (D-InSAR) in Jharia coalfields

[11] Analysis of the effect of different resolution DEM on InSAR deformation monitoring accuracy

[12] Preliminary Gaofen-3 InSAR DEM accuracy analysis

[13] GPS tomography tests for DInSAR applications on Mt. Etna

[14] A Decade of Ground Deformation in Kunming (China) Revealed by Multi-Temporal Synthetic Aperture Radar Interferometry (InSAR) Technique.

[15] Permafrost Deformation Monitoring Along the Qinghai-Tibet Plateau Engineering Corridor Using InSAR Observations with Multi-Sensor SAR Datasets from 1997-2018.

[16] Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique

[17] A Covariance-Based Approach to Merging InSAR and GNSS Displacement Rate Measurements

[18] research on resolving of three-dimensional displacement from multi-source insar data

[19] application of insar and gravimetry for land subsidence hazard zoning in aguascalientes, mexico

[20] insar detection and field evidence for thermokarst after a tundra wildfire, using alos-palsar

[21] forest canopy heights in the pacific northwest based on insar phase discontinuities across short spatial scales

[22] large-baseline insar for precise topographic mapping: a framework for tandem-x large-baseline data

[23] space-borne and ground-based insar data integration: the Åknes test site

[24] insar reveals land deformation at guangzhou and foshan, china between 2011 and 2017 with cosmo-skymed data

[25] relative efficiency of als and insar for biomass estimation in a tanzanian rainforest

[26] insar observation and numerical modeling of the earth-dam displacement of shuibuya dam (china)

[27] estimation of pine forest height and underlying dem using multi-baseline p-band polinsar data

[28] deriving ice motion patterns in mountainous regions by integrating the intensity-based pixel-tracking and phase-based d-insar and mai approaches: a case study of the chongce glacier

[29] mapping tropical rainforest canopy disturbances in 3d by cosmo-skymed spotlight insar-stereo data to detect areas of forest degradation

[30] a modified three-stage inversion algorithm based on r-rvog model for pol-insar data

[31] combination with precise leveling and psinsar observations to quantify pumping-induced land subsidence in central taiwan

[32] long-range ground deformation monitoring by insar analysis

[33] sea surface height measuring using insar altimeter

[34] the impact of forest density on forest height inversion modeling from polarimetric insar data

[35] The Use of InSAR Phase Coherence Analyses for the Monitoring of Aeolian Erosion

[36] Detecting surface subsidence in coal mining area based on DInSAR technique - Journal of Earth Science

[37] Sentinel-1 Big Data Processing with P-SBAS InSAR in the Geohazards Exploitation Platform: An Experiment on Coastal Land Subsidence and Landslides in Italy

[38] Analyses of Time Series InSAR Signatures for Land Cover Classification: Case Studies over Dense Forestry Areas with L-Band SAR Images

[39] Seismogenic Source Model of the 2019, Mw 5.9, East-Azerbaijan Earthquake (NW Iran) through the Inversion of Sentinel-1 DInSAR Measurements