logo

Publication

  2. repository
  3. detail
  4. application_of_artificial_neural_network_and_decision_tree_in_a_gis_based_predictive_soil_mapping_for_landslide_vulnerability_study_a_case_study_of_hoi_num_rin_sub_watershed_thailand_20070301

Application of Artificial Neural Network and Decision Tree in a GIS-Based Predictive Soil Mapping for Landslide Vulnerability Study: A Case Study of Hoi Num Rin Sub-Watershed, Thailand


View
Publication Date : 2007-03-01
Author : Ruamporn Moonjun
Countries :
Disaster Management Theme :
Disaster Type : Landslide
Document Type : Research Paper
Languange : en
Link : https://www.itc.nl/library/papers_2007/msc/aes/ruamporn.pdf
Abstact :

supported By

Through ICT Phase IV Project

What is ADInet

The ASEAN Disaster Information Network (ADINet) is a repository of information concerning hazards and disasters that have happened in the region. The platform is open for public, which means that the public can submit information about any hazard and disaster to the AHA Centre. Thereafter, the AHA Centre will verify and validate any submitted information to ensure the accuracy of the data inputs. The AHA Centre can also add new information when relevant and as necessary. ADINET has been recording disaster information in the region since the AHA Centre was operational in 2012.

About Us

The AHA Centre
Graha BNPB, 13th floor
Jl. Raya Pramuka Kav.38 East Jakarta 13120 Indonesia
+62 21 21012278
+62 21 21012287
info@ahacentre.org
www.ahacentre.org
Contact Us
Developed by ICT unit of The AHA Centre