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.
154 related articles for article (PubMed ID: 27879753)
1. Integrating Remote Sensing Data with Directional Two- Dimensional Wavelet Analysis and Open Geospatial Techniques for Efficient Disaster Monitoring and Management. Lin YB; Lin YP; Deng DP; Chen KW Sensors (Basel); 2008 Feb; 8(2):1070-1089. PubMed ID: 27879753 [TBL] [Abstract][Full Text] [Related]
2. Remote sensing data with the conditional latin hypercube sampling and geostatistical approach to delineate landscape changes induced by large chronological physical disturbances. Lin YP; Chu HJ; Wang CL; Yu HH; Wang YC Sensors (Basel); 2009; 9(1):148-74. PubMed ID: 22389593 [TBL] [Abstract][Full Text] [Related]
3. Detecting the land-cover changes induced by large-physical disturbances using landscape metrics, spatial sampling, simulation and spatial analysis. Chu HJ; Lin YP; Huang YL; Wang YC Sensors (Basel); 2009; 9(9):6670-700. PubMed ID: 22399972 [TBL] [Abstract][Full Text] [Related]
4. Vegetation recovery patterns assessment at landslides caused by catastrophic earthquake: a case study in central Taiwan. Chou WC; Lin WT; Lin CY Environ Monit Assess; 2009 May; 152(1-4):245-57. PubMed ID: 18528771 [TBL] [Abstract][Full Text] [Related]
5. Assessing impacts of typhoons and the Chi-Chi earthquake on Chenyulan watershed landscape pattern in central Taiwan using landscape metrics. Lin YP; Chang TK; Wu CF; Chiang TC; Lin SH Environ Manage; 2006 Jul; 38(1):108-25. PubMed ID: 16738824 [TBL] [Abstract][Full Text] [Related]
6. Effects of land cover changes induced by large physical disturbances on hydrological responses in Central Taiwan. Hong NM; Chu HJ; Lin YP; Deng DP Environ Monit Assess; 2010 Jul; 166(1-4):503-20. PubMed ID: 19496007 [TBL] [Abstract][Full Text] [Related]
7. 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]
8. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States. Paciorek CJ; Liu Y; Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153 [TBL] [Abstract][Full Text] [Related]
9. Discovering Vegetation Recovery and Landslide Activities in the Wenchuan Earthquake Area with Landsat Imagery. Zhong C; Li C; Gao P; Li H Sensors (Basel); 2021 Aug; 21(15):. PubMed ID: 34372479 [TBL] [Abstract][Full Text] [Related]
10. LAND-deFeND - An innovative database structure for landslides and floods and their consequences. Napolitano E; Marchesini I; Salvati P; Donnini M; Bianchi C; Guzzetti F J Environ Manage; 2018 Feb; 207():203-218. PubMed ID: 29179110 [TBL] [Abstract][Full Text] [Related]
11. Relationship between landslides and mountain development-Integrating geospatial statistics and a new long-term database. Chuang YC; Shiu YS Sci Total Environ; 2018 May; 622-623():1265-1276. PubMed ID: 29890594 [TBL] [Abstract][Full Text] [Related]
13. [Pheno-climatic profiles of vegetation based on multitemporal analysis of satellite data]. Taddei R Parassitologia; 2004 Jun; 46(1-2):63-6. PubMed ID: 15305688 [TBL] [Abstract][Full Text] [Related]
14. Investigation of the scaling characteristics of LANDSAT temperature and vegetation data: a wavelet-based approach. Rathinasamy M; Bindhu VM; Adamowski J; Narasimhan B; Khosa R Int J Biometeorol; 2017 Oct; 61(10):1709-1721. PubMed ID: 28508259 [TBL] [Abstract][Full Text] [Related]
15. Detecting landslide-dammed lakes on Sentinel-2 imagery and monitoring their spatio-temporal evolution following the Kaikōura earthquake in New Zealand. Abad L; Hölbling D; Spiekermann R; Prasicek G; Dabiri Z; Argentin AL Sci Total Environ; 2022 May; 820():153335. PubMed ID: 35077801 [TBL] [Abstract][Full Text] [Related]
16. Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks. Sharma A; Liu X; Yang X Neural Netw; 2018 Sep; 105():346-355. PubMed ID: 29933156 [TBL] [Abstract][Full Text] [Related]
18. Long-term Satellite NDVI Data Sets: Evaluating Their Ability to Detect Ecosystem Functional Changes in South America. Baldi G; Nosetto MD; Aragón R; Aversa F; Paruelo JM; Jobbágy EG Sensors (Basel); 2008 Sep; 8(9):5397-5425. PubMed ID: 27873821 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. Assessment of earthquake-induced landslide inventories and susceptibility maps using slope unit-based logistic regression and geospatial statistics. Pokharel B; Alvioli M; Lim S Sci Rep; 2021 Oct; 11(1):21333. PubMed ID: 34716368 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]