A new method to improve the accuracy of remotely sensed data for wetland water balance estimates

Chen, Shengyang; Johnson, Fiona; Drummond, Chris; Glamore, William

doi:10.1016/j.ejrh.2020.100689

Cited by 15 publications

(13 citation statements)

References 53 publications

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“…Sf M techniques have also been employed in the mining field by Yucel et al [77] to analyze the areal changes and evolution of lakes originated by acid mine drainage. More recently, Chen et al [45] developed a ground-filtering method to remove the effect of vegetation in wetland s water budget estimations, thus improving the DEM obtained from UAS photogrammetry. Their approach comprised the combination of airborne LiDAR products with UAS LiDAR, UAS photogrammetric surveys and the application of a linear-weighted-average filter to generate a filtered DEM where the vegetation interference in the bathymetric data was reduced.…”

Section: Surface Velocity and Flow Estimationsmentioning

confidence: 99%

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

et al. 2021

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In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of hydrology, bridging the gap between traditional satellite observations and ground-based measurements and allowing the limitations of manned aircraft to be overcome. With unparalleled spatial and temporal resolutions and product-tailoring possibilities, UAS are contributing to the acquisition of large volumes of data on water bodies, submerged parameters and their interactions in different hydrological contexts and in inaccessible or hazardous locations. This paper provides a comprehensive review of 122 works on the applications of UASs in surface water and groundwater research with a purpose-oriented approach. Concretely, the review addresses: (i) the current applications of UAS in surface and groundwater studies, (ii) the type of platforms and sensors mainly used in these tasks, (iii) types of products generated from UAS-borne data, (iv) the associated advantages and limitations, and (v) knowledge gaps and future prospects of UASs application in hydrology. The first aim of this review is to serve as a reference or introductory document for all researchers and water managers who are interested in embracing this novel technology. The second aim is to unify in a single document all the possibilities, potential approaches and results obtained by different authors through the implementation of UASs.

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Section: Surface Velocity and Flow Estimationsmentioning

confidence: 99%

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

et al. 2021

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“…In these studies, point clouds are generated to construct digital surface models that estimate volumetric compositions of the landscape, similar to LiDAR data [4,58]. This is a useful technique in abiotic UAV research that pertains to modeling shoreline losses and habitat destruction [4,130], floodplain connectivity [127], carbon storage estimates [129], and topobathymetry [58,128]. Real-time kinematic (RTK) GPS can greatly enhance the precision of such studies [4,5,45,58,65,124,131] and ground control points (GCPs) [4,45,58,65,66,124,129] can generate greater horizontal and vertical accuracy in landscape modeling and change detection studies.…”

Section: Abiotic Surveysmentioning

confidence: 99%

“…Only 55 studies (~46% of the pool) reported some form of survey and image mosaicking error. Since implications of mosaicking and positioning errors are likely to substantially vary among management goals (e.g., [28,119,128,133]), the lack of clear accuracy benchmarks as well as standards for accuracy and error reporting in UAV applications presents an important action item for the wetland UAV community in the future.…”

Section: Field Operations In Wetland Settingmentioning

confidence: 99%

“…UAV technological advances are especially timely in light of pressing challenges imposed by global environmental changes, which create an unprecedented and urgent need for streamlining geospatial data, including UAV imagery, into decision making across different scales. Climate change, for instance, was recognized by multiple studies as a critical driver of wetland ecosystem dynamics in which UAVs can inform early warning indicators of changes in marsh elevation [28], drought patterns, and hydrological regimes (e.g., [41,128,146]). Studies in peatland environments were often motivated by the vulnerability of wetlands to rising temperature and carbon loss due to erosion and/or permafrost collapse [81,129].…”

Section: Emerging Topicsmentioning

confidence: 99%

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A Review of Unoccupied Aerial Vehicle Use in Wetland Applications: Emerging Opportunities in Approach, Technology, and Data

Dronova

Kislik

Dinh

et al. 2021

Drones

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Recent developments in technology and data processing for Unoccupied Aerial Vehicles (UAVs) have revolutionized the scope of ecosystem monitoring, providing novel pathways to fill the critical gap between limited-scope field surveys and limited-customization satellite and piloted aerial platforms. These advances are especially ground-breaking for supporting management, restoration, and conservation of landscapes with limited field access and vulnerable ecological systems, particularly wetlands. This study presents a scoping review of the current status and emerging opportunities in wetland UAV applications, with particular emphasis on ecosystem management goals and remaining research, technology, and data needs to even better support these goals in the future. Using 122 case studies from 29 countries, we discuss which wetland monitoring and management objectives are most served by this rapidly developing technology, and what workflows were employed to analyze these data. This review showcases many ways in which UAVs may help reduce or replace logistically demanding field surveys and can help improve the efficiency of UAV-based workflows to support longer-term monitoring in the face of wetland environmental challenges and management constraints. We also highlight several emerging trends in applications, technology, and data and offer insights into future needs.

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“…They concluded that UAVs were precise and could extract highly detailed topographical data over significantly small scales. Chen et al [52] compared satellite, LiDAR and UAVderived DEMs to estimate the vertical errors among these topographic models in order to assess their feasibility in water balance estimations over a wetland area. They concluded that photogrammetric UAVs were a cost-efficient approach for bathymetry estimations.…”

Section: Introductionmentioning

confidence: 99%

Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams

et al. 2021

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Defining stream channels in a watershed is important for assessing freshwater habitat availability, complexity, and quality. However, mapping channels of small tributary streams becomes challenging due to frequent channel change and dense vegetation coverage. In this study, we used an Unmanned Aerial Vehicle (UAV) and photogrammetry method to obtain a 3D Digital Surface Model (DSM) to estimate the total in-stream channel and channel width within grazed riparian pastures. We used two methods to predict the stream channel boundary: the Slope Gradient (SG) and Vertical Slope Position (VSP). As a comparison, the same methods were also applied using low-resolution DEM, obtained with traditional photogrammetry (coarse resolution) and two more LiDAR-derived DEMs with different resolution. When using the SG method, the higher-resolution, UAV-derived DEM provided the best agreement with the field-validated area followed by the high-resolution LiDAR DEM, with Mean Squared Errors (MSE) of 1.81 m and 1.91 m, respectively. The LiDAR DEM collected at low resolution was able to predict the stream channel with a MSE of 3.33 m. Finally, the coarse DEM did not perform accurately and the MSE obtained was 26.76 m. On the other hand, when the VSP method was used we found that low-resolution LiDAR DEM performed the best followed by high-resolution LiDAR, with MSE values of 9.70 and 11.45 m, respectively. The MSE for the UAV-derived DEM was 15.12 m and for the coarse DEM was 20.78 m. We found that the UAV-derived DEM could be used to identify steep bank which could be used for mapping the hydrogeomorphology of lower order streams. Therefore, UAVs could be applied to efficiently map small stream channels in order to monitor the dynamic changes occurring in these ecosystems at a local scale. However, the VSP method should be used to map stream channels in small watersheds when high resolution DEM data is not available.

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A new method to improve the accuracy of remotely sensed data for wetland water balance estimates

Cited by 15 publications

References 53 publications

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review

A Review of Unoccupied Aerial Vehicle Use in Wetland Applications: Emerging Opportunities in Approach, Technology, and Data

Using Unmanned Aerial Vehicle and LiDAR-Derived DEMs to Estimate Channels of Small Tributary Streams

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