Literatura académica sobre el tema "SUSCEPTIBILTY ZONATION MAPPING"
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Artículos de revistas sobre el tema "SUSCEPTIBILTY ZONATION MAPPING"
Bornaetxea, Txomin, Mauro Rossi, Ivan Marchesini y Massimiliano Alvioli. "Effective surveyed area and its role in statistical landslide susceptibility assessments". Natural Hazards and Earth System Sciences 18, n.º 9 (14 de septiembre de 2018): 2455–69. http://dx.doi.org/10.5194/nhess-18-2455-2018.
Texto completoBhandary, Netra Prakash, Ranjan Kumar Dahal, Manita Timilsina y Ryuichi Yatabe. "Rainfall event-based landslide susceptibility zonation mapping". Natural Hazards 69, n.º 1 (18 de mayo de 2013): 365–88. http://dx.doi.org/10.1007/s11069-013-0715-x.
Texto completoKhaidem, Sukhajit y Kanwarpreet Singh. "Landslide Susceptibility Mapping along Manipur-Assam NH-37". IOP Conference Series: Earth and Environmental Science 889, n.º 1 (1 de noviembre de 2021): 012002. http://dx.doi.org/10.1088/1755-1315/889/1/012002.
Texto completoChawla, Amit, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar y Rajesh Dwivedi. "Landslide Susceptibility Mapping in Darjeeling Himalayas, India". Advances in Civil Engineering 2018 (16 de septiembre de 2018): 1–17. http://dx.doi.org/10.1155/2018/6416492.
Texto completoKavitha, G., S. Anbazhagan y S. Mani. "Geospatial Technology for Landslide Susceptibility Mapping along the Vathalmalai Ghat road section, South India". Journal of Geology, Geography and Geoecology 30, n.º 4 (25 de diciembre de 2021): 683–91. http://dx.doi.org/10.15421/112163.
Texto completoShrestha, Him Lal y Mahesh Poudel. "Landslide Susceptibility Zonation Mapping in Post- Earthquake Scenario in Gorkha District". Forestry: Journal of Institute of Forestry, Nepal 15 (31 de julio de 2018): 45–56. http://dx.doi.org/10.3126/forestry.v15i0.24920.
Texto completoDas, Jayshree, Susanta Mahato, Pawan Kumar Joshi y Yuei-An Liou. "Forest Fire Susceptibility Zonation in Eastern India Using Statistical and Weighted Modelling Approaches". Remote Sensing 15, n.º 5 (27 de febrero de 2023): 1340. http://dx.doi.org/10.3390/rs15051340.
Texto completoBasnet, P., M. K. Balla y B. M. Pradhan. "Landslide hazard zonation, mapping and investigation of triggering factors in Phewa lake watershed, Nepal". Banko Janakari 22, n.º 2 (1 de diciembre de 2013): 43–52. http://dx.doi.org/10.3126/banko.v22i2.9198.
Texto completoSekarlangit, Nadia, Teuku Faisal Fathani y Wahyu Wilopo. "Landslide Susceptibility Mapping of Menoreh Mountain Using Logistic Regression". Journal of Applied Geology 7, n.º 1 (28 de junio de 2022): 51. http://dx.doi.org/10.22146/jag.72067.
Texto completoRossi, Mauro, Txomin Bornaetxea y Paola Reichenbach. "LAND-SUITE V1.0: a suite of tools for statistically based landslide susceptibility zonation". Geoscientific Model Development 15, n.º 14 (21 de julio de 2022): 5651–66. http://dx.doi.org/10.5194/gmd-15-5651-2022.
Texto completoTesis sobre el tema "SUSCEPTIBILTY ZONATION MAPPING"
Schlögel, Romy. "Quantitative landslide hazard assessment with remote sensing observations and statistical modelling". Thesis, Strasbourg, 2015. http://www.theses.fr/2015STRAH009/document.
Texto completoThe analysis of landslide inventories is the basis for quantitative hazard assessment. Landslide inventory maps are prepared using conventional methods (field surveys, visual interpretation of aerial photographs) and new remote sensing techniques. One of the most promising techniques for landslide detection and mapping is related to the measurement of the ground deformation by satellite radar interferometry (InSAR).This doctoral thesis is dedicated to the preparation of a multi-date inventory, from multi-source data, including InSAR, for a quantitative assessment of landslide hazard. The methods associate the analysis of Earth Observation products and statistical modelling for the characterization of landslide hazard in a rural and mountainous region of the South French Alps. They have been developed at the slope (1:5000-1:2000) and the regional (1:25.000-1:10.000) scales. For the creation of a multi-date inventory, this study developed a combined interpretation of time series of SAR images, aerial photographs, geomorphological maps, historical reports and field surveys. At the slope-scale, a geomorphologically-guided methodology using InSAR was proposed to identify landslide displacement patterns and measure their kinematic evolution. At regional scale, spatio-temporal distribution of landslides is characterised and hazard is assessed by computing spatial and temporal probabilities of occurrence for a given intensity of the phenomena. The spatial occurrence is evaluated using a multivariate model (logistic regression). The temporal occurrence of landslide is estimated with a Poisson probability model to compute exceedance probabilities for several return periods. Different mapping units were used in the modelling, and their influence on the results is discussed. Analysis of landslide hazard is then proposed for some particular hotspots. Relationships between landslide (re)activations and triggering factors are envisaged
KUMAR, ANMOL. "LANDSLIDE SUSCEPTIBILTY ZONATION MAPPING USING GIS FOR IDUKKI REGION". Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19708.
Texto completoCapítulos de libros sobre el tema "SUSCEPTIBILTY ZONATION MAPPING"
Kumar, Virender y Kanwarpreet Singh. "Effectiveness of Remote Sensing and GIS-Based Landslide Susceptibility Zonation Mapping Using Information Value Method". En Lecture Notes in Civil Engineering, 225–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6717-5_22.
Texto completoYadav, Manish, Sanjit Kumar Pal, Prasoon Kumar Singh y Neha Gupta. "Landslide Susceptibility Zonation Mapping Using Frequency Ratio, Information Value Model, and Logistic Regression Model: A Case Study of Kohima District in Nagaland, India". En Landslides: Detection, Prediction and Monitoring, 333–63. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23859-8_17.
Texto completoTrucchia, Andrea, Giorgio Meschi, Paolo Fiorucci, Antonello Provenzale, Marj Tonini y Umberto Pernice. "Spatial wildfire hazard patterns in the Eastern Mediterranean: perspectives from a harmonised approach". En Advances in Forest Fire Research 2022, 1311–17. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_198.
Texto completoSingh, Nongmaithem Bragy y Ramesh Veerappan. "GIS-based landslide susceptibility zonation mapping using fuzzy gamma operator model in part of Trans-Asian Highway (Mao-Kangpokpi), Manipur, India". En Disaster Resilience and Sustainability, 171–96. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-323-85195-4.00027-5.
Texto completoActas de conferencias sobre el tema "SUSCEPTIBILTY ZONATION MAPPING"
Su, Fenghuan y Peng Cui. "GIS-Based Susceptibility Mapping and Zonation of Debris Flows Caused by Wenchuan Earthquake". En 2009 International Conference on Information Engineering and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/iciecs.2009.5364077.
Texto completoSingh, Ankit, Tarun Singh y K. S. Rao. "Comparative Study of Machine Learning Vs. BIS Approach for Landslide Hazard Zonation in Kashmir Himalayas, India". En 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0917.
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