Using Geomatic Techniques to Estimate Volume–Area Relationships of Watering Ponds
Bibliographic Data
| ID | 22032218 |
|---|---|
| Authors | Ubaldo Marín-Comitre (0000-0001-6159-7339, Universidad de Extremadura, corresponding author), Álvaro Gómez‐Gutiérrez (0000-0002-2337-2638, Universidad de Extremadura), J Francisco Lavado-Contador (0000-0001-5736-1753, Universidad de Extremadura), Manuel Sánchez-Fernández (0000-0002-6418-7332, Universidad de Extremadura), Alberto Alfonso-Torreño (0000-0002-0540-6320, Universidad de Extremadura) |
| Year | 2021 |
| Volume | 10 |
| Issue | 8 |
| Pages | 502 |
| Publication date | 2021-07-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10080502 |
| OpenAlex | W3184928238 |
| Language | EN |
| References cited | 69 |
Watering ponds represent an important part of the hydrological resources in some water-limited environments. Knowledge about their storage capacity and geometrical characteristics is crucial for a better understanding and management of water resources in the context of climate change. In this study, the suitability of different geomatic approaches to model watering pond geometry and estimate pond-specific and generalized volume–area–height (V–A–h) relationships was tested. Terrestrial structure-from-motion and multi-view-stereo photogrammetry (SfM-MVS), terrestrial laser scanner (TLS), laser-imaging detection and ranging (LIDAR), and aerial SfM-MVS were tested for the emerged terrain, while the global navigation satellite system (GNSS) was used to survey the submerged terrain and to test the resulting digital elevation models (DEMs). The combined use of terrestrial SfM-MVS and GNSS produced accurate DEMs of the ponds that resulted in an average error of 1.19% in the maximum volume estimation, comparable to that obtained by the TLS+GNSS approach (3.27%). From these DEMs, power and quadratic functions were used to express pond-specific and generalized V–A–h relationships and checked for accuracy. The results revealed that quadratic functions fit the data particularly well (R2 ≥ 0.995 and NRMSE
Cartography · Digital elevation model · Geography · Global Positioning System · GNSS applications · Lidar · Photogrammetry · Remote sensing · Terrain · 3D Surveying and Cultural Heritage · Computer Science · Environmental Science · Flood Risk Assessment and Management · Remote Sensing and LiDAR Applications · Geology
| Highly cited | No |
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