Vertical accuracy comparison of multi-source Digital Elevation Model (DEM) with Airborne Light Detection and Ranging (LiDAR)

Chai, L T; Wong, Charissa J.; James, Daniel; Loh, Ho Yan; Liew, J J F; Wong, Wilson Vun Chiong; Phua, Mui How

doi:10.1088/1755-1315/1053/1/012025

Cited by 10 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, MERIT Hydro -a global flow direction map at 3-arc seconds was conceptualized and developed by Yamazaki et al [14] by considering MERIT DEM and water body data sets. It is appreciated by the researchers due to its improved accuracy compared to other open-access DEMs by researchers like Uuemaa et al [4] and Chai et al [78]. However, its spatial resolution may be a limitation for regional-level applications.…”

Section: Discussionmentioning

confidence: 99%

Validation of MERIT DEM’s Performance as a Bare-Earth Model Using ICESat-2 Geolocated Photons

Dandabathula,

Hari,

Sharma

et al. 2023

EARTH

View full text Add to dashboard Cite

Digital elevation models represent the Earth's surface and play a key role in earth sciences by enabling the possibility of deriving terrain variables; the terrain variables are essential inputs for environmental modeling. The availability of open-access digital surface models has significantly advanced the understanding of earth system dynamics and also allowed researchers to generate digital terrain models, aka bare-earth models. These bare-earth models are essential data sets for applications related to hydrology and geomorphology, especially for disaster management. Under the category of open-accessible bare-earth models, Multi-Error-Removed Improved-Terrain DEM or MERIT DEM is the first kind of product unfolded by applying numerous error removal algorithms from existing DEM sources. This research reports the results after validating the MERIT DEM's performance by emphasizing its tree-height bias removal algorithm. Towards this, ground-reflected photons accrued from the ICESat-2 mission were used as reference data due to their attribution of high accuracy. Two test sites, one located in the rugged terrain of the outer Himalayas, the Lacchiwala Reserve forest, and the other, rolling hills at the Bhadra wildlife sanctuary located in the Western Ghats of the Indian sub-continent were used as test sites for validating the MERIT DEM's accuracy. The results derived after computing statistical formulae like RMSE, MAE, MBE, and profile-based visual analytics helped understand the performance of the MERIT DEM as a bare-earth model. The RMSE, MAE, and MBE for the Lachhiwala Reserve forest are 10.28 m, 7.78 m, and 0.69 m, respectively. Similarly, the RMSE, MAE, and MBE values for the Bhadra wildlife sanctuary are 4.52 m, 3.82 m, and 3.04 m, respectively. The assessment confirms that the accuracies are within the MERIT DEM's specifications and assured the successful implementation of MERIT DEM's tree-height removal algorithm since the elevations from the MERIT DEM are always lesser than the canopy height in both the test sites. Our research also investigated the reasons for the inaccuracies obtained at both the test sites and suggested using improved tree-height estimations from high-resolution canopy height data in the future version of MERIT DEM.

show abstract

Section: Discussionmentioning

confidence: 99%

Validation of MERIT DEM’s Performance as a Bare-Earth Model Using ICESat-2 Geolocated Photons

Dandabathula,

Hari,

Sharma

et al. 2023

EARTH

View full text Add to dashboard Cite

show abstract

“…Studies have shown this DSM has one of the best vertical accuracies of global open-source elevation data, especially in open non-forested landscapes (e.g. Ferreira, Cabral, 2021;Chai et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Rapid terrace incision and Quaternary landscape evolution in central Patagonia

Thorndycraft

2023

J Quaternary Science

View full text Add to dashboard Cite

The debate over isostatic uplift versus discharge as drivers of Quaternary river incision is explored here through geospatial analysis of a ~250‐m‐relief terrace sequence from the Río Pinturas (Argentine Patagonia). The geomorphic setting of the Cañadon Caracoles reach allows evaluation of discharge as a driver of terrace incision because advancing ice during Pleistocene glaciations blocked Pacific drainage and routed meltwater from an expanded ~104‐km2 catchment to the Atlantic through the dryland steppe of the study area. Twenty‐two terrace levels, some assigned to previously dated ice margins [Marine Isotope Stage (MIS) 32–36, MIS 16, MIS 8 and MIS 2], were identified. Average net incision since 800 ka (~0.34 m ka−1) exceeded regional uplift rates. The MIS 2 terraces, with ante quem and post quem age constraint on the timing of terrace formation, show that terrace incision was episodic and faster still during a transitional warming climate. Glacier recession and proglacial lake formation at ~18 ka led to rapid incision of ~11.7 m ka−1 over a few millennia. River capture and negligible flow from ~15.0 ka caused fan‐dammed lake formation on the valley floor and vertical stability during MIS 1. The Pinturas terraces demonstrate rapid incision can be driven by discharge and sediment dynamics.

show abstract

“…Moiret-Guigand, 2021). Equator) covering land area from 90 N to 60 S, selected for its ability to clearly represent landscapes such as river networks and hill-valley structures even in flat areas where height errors could be larger than topography variability (Yamazaki et al, 2017;Bhardwaj, 2021;Chai et al, 2022). It is derived from seven different opensource datasets, delivered as 57 GeoTiff files 30º by 30º region each, at ~90 m resolution (in total 90.0 GB), representative of the year 2018.…”

Section: Reference Data and Overall Methodologymentioning

confidence: 99%

Technical note: Surface fields for global environmental modelling

Choulga,

Moschini,

Mazzetti

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. Climate change has resulted in more frequent occurrences of extreme events, such as flooding and heavy snowfall, which can have a significant impact on densely populated or industrialised areas. Numerical models are used to simulate and predict these extreme events, enabling informed decision-making and planning to minimise human casualties and protect costly infrastructure. LISFLOOD is an integrated hydrological model underpinning the European and Global Flood Awareness Systems (EFAS and GloFAS, respectively) developed by the Copernicus Emergency Management Service (CEMS). The CEMS_SurfaceFields_2022 dataset is a new set of high-resolution surface fields at 1 and 3 arc min (approximately 2 and 6 km at the Equator respectively) covering Europe and the global land surface (excluding Antarctica) respectively, based on a wide variety of high-resolution and up-to-date data sources. The dataset has been created together with upgrades to the open source LISFLOOD code. The set encompasses (i) catchment morphology and river network, (ii) land use, (iii) vegetation cover type and properties, (iv) soil properties, (v) lake information, and (vi) water demand. This manuscript details the complete workflow to generate CEMS_SurfaceFields_2022 fields, including data sources and methodology. The use of these fields is expected to significantly improve accuracy, detail, and realism of LISFLOOD simulations. CEMS_SurfaceFields_2022 can also be used as input for other Earth system models or for carrying out general statistical analyses across various spatial scales, ranging from global and regional to local levels.

show abstract

Vertical accuracy comparison of multi-source Digital Elevation Model (DEM) with Airborne Light Detection and Ranging (LiDAR)

Cited by 10 publications

References 11 publications

Validation of MERIT DEM’s Performance as a Bare-Earth Model Using ICESat-2 Geolocated Photons

Validation of MERIT DEM’s Performance as a Bare-Earth Model Using ICESat-2 Geolocated Photons

Rapid terrace incision and Quaternary landscape evolution in central Patagonia

Technical note: Surface fields for global environmental modelling

Contact Info

Product

Resources

About