Mapping potential surface ponding in agriculture using UAV‐SfM-Reference-Cited by-同舟云学术

Mapping potential surface ponding in agriculture using UAV‐SfM

Published:2021-05-22 Issue:10 Volume:46 Page:1926-1940
ISSN:0197-9337
Container-title:Earth Surface Processes and Landforms
language:en
Short-container-title:Earth Surf. Process. Landforms

Author:

Straffelini Eugenio¹^ORCID,Cucchiaro Sara¹²^ORCID,Tarolli Paolo¹^ORCID

Affiliation:

1. Department of Land, Environment, Agriculture and Forestry University of Padua Agripolis, Viale dell'Università 16 Legnaro (PD) 35020 Italy

2. Department of Agricultural, Food, Environmental and Animal Sciences University of Udine Via delle Scienze 206 Udine 33100 Italy

Funder

Università degli Studi di Padova

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.5135

Reference99 articles.

1. Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficient

2. AppelsWM.2013.Water redistribution at the soil surface: Ponding and surface runoff in flat areas. Available online at:https://edepot.wur.nl/250242[accessed 8 January 2021].

3. Below-ground relationships of soil texture, roots and hydraulic conductivity in two-phase mosaic vegetation in South-east Spain

4. ARPAV.2019.Carta dei Suoli del Veneto in scala 1:250.000 – Versione 2019. Available online at:https://www.arpa.veneto.it/temi-ambientali/suolo/conoscenza-dei-suoli/carta-1-250.000/leg_250k.pdf[accessed 8 January 2021].

5. ARPAV.2020.Dati meteo‐idrologici validati. Available online at:https://www.arpa.veneto.it/dati-ambientali/dati-validati[accessed 8 January 2021].

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