Sentinel-1 Spatiotemporal Simulation Using Convolutional LSTM for Flood Mapping

Autor: Noel Ivan Ulloa, Sang-Ho Yun, Shou-Hao Chiang, Ryoichi Furuta

Publikováno v: Remote Sensing, Vol 14, Iss 2, p 246 (2022)

The synthetic aperture radar (SAR) imagery has been widely applied for flooding mapping based on change detection approaches. However, errors in the mapping result are expected since not all land-cover changes are flood-induced, and those changes are

Externí odkaz: https://doaj.org/article/d26da88a32d24ab7aafa26f9da7dedd6

Flood Proxy Mapping with Normalized Difference Sigma-Naught Index and Shannon’s Entropy

Autor: Noel Ivan Ulloa, Shou-Hao Chiang, Sang-Ho Yun

Publikováno v: Remote Sensing, Vol 12, Iss 9, p 1384 (2020)

Rainfall-induced floods often cause significant loss of life as well as damage to infrastructure and crops. Synthetic Aperture Radar (SAR) Earth Observation Satellites (EOS) can be used to determine the extent of flooding over large geographical area

Externí odkaz: https://doaj.org/article/6a324734f3a649ce81209fa24e74e117

Sample Position Affect Landslide Susceptibility Models in Hotspot Area of Nam Ma Basin, Lai Chau, Viet Nam

Autor: Van Trung Chu, Shou Hao Chiang, Tang-Huang Lin

The arm of this study to analyze the effect of landslide sample position with point-based approaches for landslide susceptibility modeling which were conducted in the hotspot of the land sliding area located downstream of Nam Ma watershed (Sin Ho, La

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec9e3f932bd7c68542010db476839e03
https://doi.org/10.5194/egusphere-egu2020-18278

Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints

Autor: Shou Hao Chiang, Alessandro Cesare Mondini, Hitoshi Saito, Romy Schlögel, Kang-Tsung Chang, Claudia Notarnicola

Publikováno v: International journal of applied earth observation and geoinformation 63 (2017): 112–121. doi:10.1016/j.jag.2017.07.016
info:cnr-pdr/source/autori:Mondini, Alessandro C.; Chang, Kang-Tsung; Chiang, Shou-Hao; Schlogel, Romy; Notarnicola, Claudia; Saito, Hitoshi/titolo:Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints/doi:10.1016%2Fj.jag.2017.07.016/rivista:International journal of applied earth observation and geoinformation/anno:2017/pagina_da:112/pagina_a:121/intervallo_pagine:112–121/volume:63

We propose a framework to systematically generate event landslide inventory maps from satellite images in southern Taiwan, where landslides are frequent and abundant. The spectral information is used to assess the pixel land cover class membership pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47d217fd07dd54df274f41c6e660f542
https://doi.org/10.1016/j.jag.2017.07.016

Modelling the spatial variability of wildfire susceptibility in Honduras using remote sensing and geographical information systems

Autor: Chi Farn Chen, Kang-Tsung Chang, Miguel Valdez, Shou Hao Chiang, Jorge Luis Santos

Publikováno v: Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 876-892 (2017)

Forests in Honduras are endangered as a result of the relentless occurrence of wildfires during the dry season, and their frequency and area burned have been gradually increasing, a pattern attributable to the numerous ignition sources. For this reas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed0df4cf3d0ee4397510c371f4b8e587
https://doi.org/10.1080/19475705.2016.1278404