GIS-based soil erosion modelling under various steep-slope vineyard practices

Pijl, Anton; Reuter, Lara; Quarella, Edoardo; Vogel, Teun A.; Tarolli, Paolo

doi:10.1016/j.catena.2020.104604

Cited by 69 publications

(35 citation statements)

References 47 publications

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“…Soil cover was also important, but, in this research, soil moisture and the slope type (i.e., 4.7% or 10.3%) was not relevant. The relevance of soil moisture and slope angle were reported in several studies [108][109][110], but slopes were usually steeper (larger than 10 • ) and the difference was also~10 • among the different slope types. Moreover, smaller importance can be attributed to the local characteristics: other influencing factors, such as i30 and runoff in the combination of three types of soil cover proved to be more important than the slopes.…”

Section: Importance Of Different Variables In Soil Erosionmentioning

confidence: 90%

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Mohammed

Al-Ebraheem²,

Holb

et al. 2020

Water

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The Mediterranean part of Syria is affected by soil water erosion due to poor land management. Within this context, the main aim of this research was to track soil erosion and runoff after each rainy storm between September 2013 and April 2014 (rainy season), on two slopes with different gradients (4.7%; 10.3%), under three soil cover types (SCTs): bare soil (BS), metal sieve cover (MC), and strip cropping (SC), in Central Syria. Two statistical multivariate models, the general linear model (GLM), and the random forest regression (RFR) were applied to reveal the importance of SCTs. Our results reveal that higher erosion rate, as well as runoff, were recorded in BS followed by MC, and SC. Accordingly, soil cover had a significant effect (p < 0.001) on soil erosion, and no significant difference was detected between MC and SC. Different combinations of slopes and soil cover had no effect on erosion, at least in this experiment. RFR performed better than GLM in predictions. GLM’s median of mean absolute error was 21% worse than RFR. Nonetheless, 25 repetitions of 2-fold cross-validation ensured the highest available prediction accuracy for RFR. In conclusion, we revealed that runoff, rain intensity and soil cover were the most important factors in erosion.

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Section: Importance Of Different Variables In Soil Erosionmentioning

confidence: 90%

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Mohammed

Al-Ebraheem²,

Holb

et al. 2020

Water

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“…Further, after occurring special events such as heavy rainfalls and the consequences on the surface can be monitored by this radar like [ 57 , 58 ]. Similar methods can be used to monitor aeolian processes [ 59 ] and impacts of land-use changes, e.g., in vineyards [ 60 ]. Besides specific research fields, it is possible to combine the radar sensor information with optical data.…”

Section: Resultsmentioning

confidence: 99%

Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses

Weber

Eichel-Streiber

Rodrigo‐Comino

et al. 2020

Sensors

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The use of unmanned aerial vehicles (UAVs) in earth science research has drastically increased during the last decade. The reason being innumerable advantages to detecting and monitoring various environmental processes before and after certain events such as rain, wind, flood, etc. or to assess the current status of specific landforms such as gullies, rills, or ravines. The UAV equipped sensors are a key part to success. Besides commonly used sensors such as cameras, radar sensors are another possibility. They are less known for this application, but already well established in research. A vast number of research projects use professional radars, but they are expensive and difficult to handle. Therefore, the use of low-cost radar sensors is becoming more relevant. In this article, to make the usage of radar simpler and more efficient, we developed with automotive radar technology. We introduce basic radar techniques and present two radar sensors with their specifications. To record the radar data, we developed a system with an integrated camera and sensors. The weight of the whole system is about 315 g for the small radar and 450 g for the large one. The whole system was integrated into a UAV and test flights were performed. After that, several flights were carried out, to verify the system with both radar sensors. Thereby, the records provide an insight into the radar data. We demonstrated that the recording system works and the radar sensors are suitable for the usage in a UAV and future earth science research because of its autonomy, precision, and lightweight.

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“…Integrated analysis based on hydraulic modelling and nonstructural design [116,[124][125][126][127][128][129][130][131][132] Monitoring topography Repeated UAV surveys provide a unique opportunity to investigate geomorphic changes that result from an extreme event. The joint use of UAV and GIS methodologies proved to be a useful tool, not only for the rapid analysis of spatial data from a large population of sinkholes but also for providing an objective approach with consistent measurement and calculation processes.…”

Section: Monitoring Erosion or Landslide Activitymentioning

confidence: 99%

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

et al. 2021

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UAS (Unmanned Aircraft Systems) technologies, also known as UAV (Unmanned Aerial Vehicle), drones, or Remotely Piloted Aircraft System (RPAS) and GIS (Geographic Information System) are recognised for the value of the results that can be achieved by their combined use. However, their use and the results achieved are rarely framed within the context of Digital Era Governance (DEG), an undertaking that would significantly reduce the capabilities of knowledge transfer from the academic and/or private environment to the public domain. The purpose of this study was to highlight, by a bibliometric analysis, the areas of proposed use of this team of tools and the extent to which these can enter the sphere of interest of public administrations, especially local ones. From a methodological point of view, based on the 439 articles filtered from the Web of Science database where UAS/UAV and GIS technologies were used, several bibliometric analyses have emerged. VOSviewer and R (Bibliometrix tool) were used to conduct the bibliometric analyses. Most scientific publications that used UAV technology as a working tool have predominant applicability in photogrammetry, while GIS applications are found in publications dedicated to image processing, landslides, and cultural and archaeological heritage. We point out that from the point of view of international cooperation, at the level of institutions or countries, certain international organisations from the USA, China, and the central and northern European states have a high interest in this topic, and a low cooperation between academia and public administration is exhibited. The conclusion is represented by the apparent lack of framing of the results of UAS–GIS technologies usage into wider and more topical contexts, such as digital era governance, and also a reduced applicability of the research results.

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GIS-based soil erosion modelling under various steep-slope vineyard practices

Cited by 69 publications

References 47 publications

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Automotive Radar in a UAV to Assess Earth Surface Processes and Land Responses

The Role of UAS–GIS in Digital Era Governance. A Systematic Literature Review

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