Detailed Evaluation of DEM Interpolation Methods in GIS Using DGPS Data

Rishikeshan, C. A.; Katiyar, Sunil Kumar; Mahesh, V.N. Vishnu

doi:10.1109/cicn.2014.148

Cited by 23 publications

(21 citation statements)

References 7 publications

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“…1) (for further details on the sampling protocol see Picanço et al 2017).Ecosystem service mapping Digital Elevation Models (DEM) are a numerical representation of topography, made up of squared equal-sized grid cells (pixels) with an elevation value associated to each pixel. DEM constitute the most widely used data structure to store and analyze topographic information in GIS (Rishikeshan et al 2014). The pollination service mapping was performed with the ArcGIS10© software, by applying the "Topo to Raster" interpolation technique, which was designed for the creation of hydrologically correct DEMs.…”

Section: Study Area and Sampling Sitesmentioning

confidence: 99%

Pollination services mapping and economic valuation from insect communities: a case study in the Azores (Terceira Island)

Picanço¹,

Gil²,

Rigal³

et al. 2017

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Insect pollinators provide vital ecosystem services through its maintenance of plant biological diversity and its role in food production. Indeed, adequate pollination services can increase the production and quality of fruit and vegetable crops. This service is currently challenged by land use intensification and expanding human population growth. Hence, this study aims: (1) to assess the pollination services in different land uses with different levels of disturbance through GIS mapping technique using insect pollinators abundance and richness as indicators, and (2) estimate the economic value of pollination by insects in agricultural crops. Our study takes place in a small oceanic island, Terceira (Azores, Portugal). Our results showed, remarkably, that not only the pristine vegetation areas, but also the orchards and agricultural areas have relatively high values of pollination services, even though both land uses have opposite disturbance levels. For the economic valuation, we analyzed 24 crops in the island and found that 18 depend on pollinators with one-third of these crops having 65% or 95% dependence on pollinators. The economic contribution of pollinators totals 36.2% of the total mean annual agricultural income of the dependent crops, highlighting the importance of insect pollinators in agricultural production and consequent economic gain productions. RESEARCH ARTICLE Launched to accelerate biodiversity conservation A peer-reviewed open-access journalAna Picanço et al. / Nature Conservation 18: 1-25 (2017) 2

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Section: Study Area and Sampling Sitesmentioning

confidence: 99%

Pollination services mapping and economic valuation from insect communities: a case study in the Azores (Terceira Island)

Picanço¹,

Gil²,

Rigal³

et al. 2017

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“…In GIS systems, DTM of the seabed surface is often described using a grid structure (regular square network). There are many methods of creating a grid based on measurement data, with the most commonly used interpolation methods being minimum curvature, natural neighbour, nearest neighbour, modified Shepard's method, radial basis function, inverse distance to a power, triangulation with linear interpolation, moving average, kriging, polynomial regression and methods based on artificial intelligence (Chin-shung et al 2004;Maleika et al 2012;Rishikeshan et al 2014). These methods use several different algorithms to determine the new values at grid nodes.…”

Section: Creating a Seabed Dtmmentioning

confidence: 99%

Inverse distance weighting method optimization in the process of digital terrain model creation based on data collected from a multibeam echosounder

Maleika

2020

Appl Geomat

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This paper presents the optimization of the inverse distance weighting method (IDW) in the process of creating a digital terrain model (DTM) of the seabed based on bathymetric data collected using a multibeam echosounder (MBES). There are many different methods for processing irregular measurement data into a grid-based DTM, and the most popular of these methods are inverse distance weighting (IDW), nearest neighbour (NN), moving average (MA) and kriging (K). Kriging is often considered one of the best methods in interpolation of heterogeneous spatial data, but its use is burdened by a significantly long calculation time. In contrast, the MA method is the fastest, but the calculated models are less accurate. Between them is the IDW method, which gives satisfactory accuracy with a reasonable calculation time. In this study, the author optimized the IDW method used in the process of creating a DTM seabed based on measurement points from MBES. The goal of this optimization was to significantly accelerate the calculations, with a possible additional increase in the accuracy of the created model. Several variants of IDW methods were analysed (dependent on the search radius, number of points in the interpolation, power of the interpolation and applied smoothing method). Finally, the author proposed an optimization of the IDW method, which uses a new technique of choosing the nearest points during the interpolation process (named the growing radius). The experiments presented in the paper and the results obtained show the true potential of the IDW optimized method in the case of DTM estimation.

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“…Much research work (Gumus and Sen, 2013;Chaplot et al, 2006;Aguilar et al, 2005;Khairnar et al, 2015;Polat et al, 2015;Rishikeshan et al, 2014) has been conducted to evaluate the effects of different interpolation methods on the precision of DEM interpolation. In the comparative investigation of spatial interpolation algorithms for building DEMs, quite few studies specifically focused on the impact of data samples and terrain types on interpolation accuracy, among them, Gumus and Sen (2013) compared the accuracy of various interpolation methods at different point distributions, the interpolation performance of IDW is worse than other algorithms for the same data distribution.…”

Section: Computer Sciencementioning

confidence: 99%

Peer Review #2 of "Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models (v0.1)"

2020

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The building of large-scale Digital Elevation Models (DEMs) using various interpolation algorithms is one of the key issues in geographic information science. Different choices of interpolation algorithms may trigger significant differences in interpolation accuracy and computational efficiency, and a proper interpolation algorithm needs to be carefully used based on the specific characteristics of the scene of interpolation. In this paper, we comparatively investigate the performance of parallel Radial Basis Function (RBF)-based, Moving Least Square (MLS)-based, and Shepard's interpolation algorithms for building DEMs by evaluating the influence of terrain type, raw data density, and distribution patterns on the interpolation accuracy and computational efficiency. The drawn conclusions may help select a suitable interpolation algorithm in a specific scene to build large-scale DEMs.

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Detailed Evaluation of DEM Interpolation Methods in GIS Using DGPS Data

Cited by 23 publications

References 7 publications

Pollination services mapping and economic valuation from insect communities: a case study in the Azores (Terceira Island)

Pollination services mapping and economic valuation from insect communities: a case study in the Azores (Terceira Island)

Inverse distance weighting method optimization in the process of digital terrain model creation based on data collected from a multibeam echosounder

Peer Review #2 of "Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models (v0.1)"

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