These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36015993)

  • 1. Identification of Landslides in Mountainous Area with the Combination of SBAS-InSAR and Yolo Model.
    Guo H; Yi B; Yao Q; Gao P; Li H; Sun J; Zhong C
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015993
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection and analysis of potential landslides based on SBAS-InSAR technology in alpine canyon region.
    Li Y; Feng X; Li Y; Jiang W; Yu W
    Environ Sci Pollut Res Int; 2024 Jan; 31(4):6492-6510. PubMed ID: 38151559
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Landslide Susceptibility Mapping with Integrated SBAS-InSAR Technique: A Case Study of Dongchuan District, Yunnan (China).
    Zhu Z; Gan S; Yuan X; Zhang J
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898090
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Landslide Monitoring along the Dadu River in Sichuan Based on Sentinel-1 Multi-Temporal InSAR.
    Huang H; Ju S; Duan W; Jiang D; Gao Z; Liu H
    Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050447
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China.
    Xiao B; Zhao J; Li D; Zhao Z; Zhou D; Xi W; Li Y
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298394
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification and deformation analysis of potential landslides after the Jiuzhaigou earthquake by SBAS-InSAR.
    Chang M; Sun W; Xu H; Tang L
    Environ Sci Pollut Res Int; 2023 Mar; 30(13):39093-39106. PubMed ID: 36595168
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features.
    Li N; Feng G; Zhao Y; Xiong Z; He L; Wang X; Wang W; An Q
    Sensors (Basel); 2024 Jul; 24(14):. PubMed ID: 39065981
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of potential landslide in Jianzha county based on InSAR and deep learning.
    Yang X; Chen D; Dong Y; Xue Y; Qin K
    Sci Rep; 2024 Sep; 14(1):21346. PubMed ID: 39285244
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Landslide detection and inventory updating using the time-series InSAR approach along the Karakoram Highway, Northern Pakistan.
    Hussain S; Pan B; Afzal Z; Ali M; Zhang X; Shi X; Ali M
    Sci Rep; 2023 May; 13(1):7485. PubMed ID: 37161025
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Monitoring the Land Subsidence Area in a Coastal Urban Area with InSAR and GNSS.
    Hu B; Chen J; Zhang X
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31330996
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Landslide Susceptibility Mapping Using Machine Learning Algorithm Validated by Persistent Scatterer In-SAR Technique.
    Hussain MA; Chen Z; Zheng Y; Shoaib M; Shah SU; Ali N; Afzal Z
    Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35590807
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Blind identification of active landslides in urban areas: a new set of comprehensive criteria.
    Wang X; Guo H; Ding Z; Wang L
    Environ Sci Pollut Res Int; 2023 Jan; 30(2):3088-3111. PubMed ID: 35943649
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploitation of optical and SAR amplitude imagery for landslide identification: a case study from Sikkim, Northeast India.
    Sivasankar T; Ghosh S; Joshi M
    Environ Monit Assess; 2021 Jun; 193(7):386. PubMed ID: 34091764
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatio-temporal landslide inventory and susceptibility assessment using Sentinel-2 in the Himalayan mountainous region of Pakistan.
    Bacha AS; Shafique M; van der Werff H; van der Meijde M; Hussain ML; Wahid S
    Environ Monit Assess; 2022 Sep; 194(11):845. PubMed ID: 36175580
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of Random Forest Model and Frequency Ratio Model for Landslide Susceptibility Mapping (LSM) in Yunyang County (Chongqing, China).
    Wang Y; Sun D; Wen H; Zhang H; Zhang F
    Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32545618
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study on Optimization Method for InSAR Baseline Considering Changes in Vegetation Coverage.
    Guo J; Xi W; Yang Z; Huang G; Xiao B; Jin T; Hong W; Gui F; Ma Y
    Sensors (Basel); 2024 Jul; 24(15):. PubMed ID: 39123830
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Statistical Time-Series Analysis of Interferometric Coherence from Sentinel-1 Sensors for Landslide Detection and Early Warning.
    Tzouvaras M
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34696012
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Monitoring and analysis of ground subsidence in Shanghai based on PS-InSAR and SBAS-InSAR technologies.
    Zhang Z; Hu C; Wu Z; Zhang Z; Yang S; Yang W
    Sci Rep; 2023 May; 13(1):8031. PubMed ID: 37198287
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Land use change and landslide characteristics analysis for community-based disaster mitigation.
    Chen CY; Huang WL
    Environ Monit Assess; 2013 May; 185(5):4125-39. PubMed ID: 22961329
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery.
    Chen Z; Zhang Y; Ouyang C; Zhang F; Ma J
    Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29522424
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.