The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study

Godone, Danilo; Garnero, Gabriele

doi:10.5721/eujrs20134611

Cited by 26 publications

(18 citation statements)

References 55 publications

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“…Indeed, the process concerning the interpretation of output that determines the design of land use rules has been considered critical. Considering the above-mentioned perplexities, a period of validation for the nutrient retention model has been planned with the aim of finding accurate relations between input and output; particularly considering the influence of DEM and LULC [50]. Validation consisted of (i) the model being tested by changing the DEM and verifying its effect on the output; and (ii) the output was then used as a benchmark to verify the interaction with LULC.…”

Section: The Methodology Of Validationmentioning

confidence: 99%

The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software

Salata

Garnero

Barbieri

et al. 2017

Land

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Abstract:Mapping ecosystem services (ES) increases the awareness of natural capital value, leading to building sustainability into decision-making processes. Recently, many techniques to assess the value of ES delivered by different scenarios of land use/land cover (LULC) are available, thus becoming important practices in mapping to support the land use planning process. The spatial analysis of the biophysical ES distribution allows a better comprehension of the environmental and social implications of planning, especially when ES concerns the management of risk (e.g., erosion, pollution). This paper investigates the nutrient retention model of InVEST software through its spatial distribution and its quantitative value. The model was analyzed by testing its response to changes in input parameters: (1) the digital terrain elevation model (DEM); and (2) different LULC attribute configurations. The paper increases the level of attention to specific ES models that use water runoff as a proxy of nutrient delivery. It shows that the spatial distribution of biophysical values is highly influenced by many factors, among which the characteristics of the DEM and its interaction with LULC are included. The results seem to confirm that the biophysical value of ES is still affected by a high degree of uncertainty and encourage an expert field campaign as the only solution to use ES mapping for a regulative land use framework.

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Section: The Methodology Of Validationmentioning

confidence: 99%

The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software

Salata

Garnero

Barbieri

et al. 2017

Land

Self Cite

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show abstract

“…RMS values, resulting from the different available subsets, grow, as it was logical to assume, with decreasing density of input points available in accordance with the findings of Anderson et al (2006). RMS also undergoes a growth trend as a function of grid spacing product, with a trend relatively more significant in areas characterized by simpler morphology (Godone and Garnero, 2013). When input points density decreases, the algorithm IDW looks less performing than others, which do have a more homogeneous behaviour.…”

Section: Quality Assessmentmentioning

confidence: 99%

Comparisons Between Different Interpolation Techniques

Garnero

Godone

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Digital terrain models are key tools in land analysis and management as they are directly employable in GIS systems and other specific applications like hydraulic modelling, geotechnical analyses, road planning, telecommunication, and many others. TIN generation, from different kind of measurement techniques, is ruled by specific regulations. Interpolation techniques to compute a regular grid from a TIN, are, instead, still lacking in specific regulations: a unitary and shared methodology has not already been made compulsory in order to be used in cartographic production while generating digital models. Such ambiguity obviously involves non univocal results and can affect precision, which can lead to divergent analyses on the same territory. In the present study different algorithms will be analysed in order to spot an optimal interpolation methodology. The availability of the recent digital model produced by the Regione Piemonte with airborne LIDAR and the presence of sections of testing realized with higher resolutions and the presence of independent digital models on the same territory allow to set a series of analysis with consequent determination of the best methodologies of interpolation. The analysis of the residuals on the test sites allows to calculate the descriptive statistics of the computed values: all the algorithms have furnished interesting results; all the more interesting, notably for dense models, the IDW (Inverse Distance Weighing) algorithm results to give best results in this study case. Moreover, a comparative analysis was carried out by interpolating data at different input point density, with the purpose of highlighting thresholds in input density that may influence the quality reduction of the final output in the interpolation phase.

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“…In reality, numerous research has observed that DEM vertical errors are not random, not normally distributed, and not even from a spatially stationary process [15,17]. In fact, DEM errors are found to be correlated with terrain structure, land cover type, sampling density, and interpolation method [19][20][21][22][23][24]. The observations of spatial autocorrelation among DEM errors further suggest that vertical errors are not independent of each other.…”

Section: Problems In Applying Error Propagation Theorymentioning

confidence: 97%

Accuracy Assessment of LiDAR-Derived Digital Elevation Models Based on Approximation Theory

Liu

Peng

2015

Remote Sensing

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Abstract:The cumulative error at a point in a LiDAR-derived DEM consists of three components: propagated LiDAR-sensor error, propagated ground error, and interpolation error. To combine these error components so as to assess the vertical accuracy of a LiDAR-derived DEM, statistical methods based on the error propagation theory are often used. Due to the existence of systematic error, statistical methods are only effective if a large number of checkpoints are available, which may not be affordable in many practical applications. This paper presents approximation theory as an alternative methodology that departs from error propagation theory in fundamental ways. Using approximation theory, an error bound of the cumulative error at any point in the study site can be obtained, thus informing users conservatively of the spatial variation of DEM accuracy and pointing out the weakly determined areas. The new method is illustrated from DEM users' perspective by assessing whether a publicly available LiDAR-derived DEM meets FEMA's accuracy standard for flood risk mapping. The paper calls for a change in the existing methods of assessing and reporting the errors in a LiDAR-derived DEM, in particular those introduced during the ground filtering process.

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The role of morphometric parameters in Digital Terrain Models interpolation accuracy: a case study

Cited by 26 publications

References 55 publications

The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software

The Integration of Ecosystem Services in Planning: An Evaluation of the Nutrient Retention Model Using InVEST Software

Comparisons Between Different Interpolation Techniques

Accuracy Assessment of LiDAR-Derived Digital Elevation Models Based on Approximation Theory

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