@Article{RahmatiKorSamNobMel:2018:DeAuGI,
author = "Rahmati, Omid and Kornejady, Aiding and Samadi, Mahmood and Nobre,
Antonio Donato and Melesse, Assefa M.",
affiliation = "{Lorestan University} and {Islamic Azad University} and
{University of Tehran} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Florida International University}",
title = "Development of an automated GIS tool for reproducing the HAND
terrain model",
journal = "Environmental Modelling and Software",
year = "2018",
volume = "102",
pages = "1--12",
month = "apr.",
keywords = "HANDTool, Draining potential, Automation, GIS, Random forest.",
abstract = "Height Above the Nearest Drainage (HAND), a state-of-the-art
topo-hydrological index, has been increasingly used in
geo-environmental studies. It describes the local normalized
drainage potential of a large region. To date, a trial and error
and cumbersome multistep process has been used to obtain the HAND
index which does not result in an optimal threshold for
contributing area. This study aims at developing a user-friendly
geographic information system (GIS) tool, HANDTool, using the
Python programming language. We successfully applied the tool for
the Chehel-Chai watershed, Iran and the random forest algorithm
was used to model groundwater potential. Results revealed that the
HAND index made a great contribution to groundwater potential
modeling among the other conditioning factors. This tool gives
valuable insights on the soil-topography-moisture shared
interactions and vegetation condition, especially in ungauged
watersheds.",
doi = "10.1016/j.envsoft.2018.01.004",
url = "http://dx.doi.org/10.1016/j.envsoft.2018.01.004",
issn = "1364-8152",
language = "en",
targetfile = "rahmati_development.pdf",
urlaccessdate = "27 abr. 2024"
}