Assessing the Accuracy of SRTM Dem and Aster Gdem Datasets for the Coastal Zone of Shandong Province, Eastern China

Luana, Shaopeng; Hou, Xiyong; Wang, Yetang

doi:10.1515/pomr-2015-0026

Cited by 18 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was also identified by Sharma et al (2014) who reported that ASTER DEM tends to smooth the altitudes in flat areas. Similar results were found by Luana et al (2015) when comparing ASTER DEM, SRTM 30 DEM and elevation points at 1:50,000 scale in a watershed located in Shandong Province, China. The RMSE values obtained for the SRTM DEMs (Figure 2) are in agreement with those found in literature.…”

Section: Relief Characterization and Performance Of The Different Relief Sources Based On Statistical Measuressupporting

confidence: 83%

Influence of different relief information sources on the geomorphological characterization of small watersheds

Moura

Beskow

Terra

et al. 2021

An. Acad. Bras. Ciênc.

View full text Add to dashboard Cite

Mathematical models have been widely used to quantify hydrological processes for various practical purposes. These models depend on geomorphological attributes which are derived from relief information represented by Digital Elevation Models (DEM).The objective of this study was to evaluate the infl uence of relief information sources (ASTER, SRTM-30, SRTM-90, and TOPO) over geomorphological characterization of fi ve Brazilian watersheds. Geoprocessing tools were applied for extraction of the following geomorphological attributes for each DEM: drainage area, perimeter, and watershed slope; length and slope of the main stream; total length of streams; bifurcation, stream length and stream area ratios; and length of the highest order stream. The differences in the values of attributes were calculated in relation to the reference DEM (TOPO). It was found that: i) slope of main stream and bifurcation ratio were the most sensitive parameters regarding the relief information source; ii) fl at watersheds were more susceptible to altimetric errors; iii) ASTER did not adequately represent drainage networks for fl at watersheds; and iv) the differences in the geomorphological attributes increased as drainage area decreased. The results indicate that DEM may exert infl uence on the use of hydrological models that depend on geomorphological attributes.

show abstract

Section: Relief Characterization and Performance Of The Different Relief Sources Based On Statistical Measuressupporting

confidence: 83%

Influence of different relief information sources on the geomorphological characterization of small watersheds

Moura

Beskow

Terra

et al. 2021

An. Acad. Bras. Ciênc.

View full text Add to dashboard Cite

show abstract

“…These AEZs are locally referred to as Weyna Dega (subtropical) (1500-2300 m.a.s.l), Dega (temperate) (2300-3200 m.a.s.l) and High Dega (Alpine) (3200-3700 m.a.s.l) [76]. Because of its good vertical and horizontal precision, this classification was performed using a 30 m SRTM DEM spatial resolution [78]. To improve agricultural development planning, agronomic zoning is generally significant, as agronomic regions are heavily dependent on climatic parameters such as rainfall quantity and variability, temperature, and vegetation characteristics [76].…”

Section: Belg and Kiremit Season Yearly Variation Of Vegetation Condimentioning

confidence: 99%

Spatiotemporal variability of agricultural drought and its association with climatic variables in the Upper Awash Basin, Ethiopia

Bayable

Gashaw

2021

SN Appl. Sci.

View full text Add to dashboard Cite

Drought is a serious threat to agriculture in Ethiopia. This study examined the spatiotemporal variability of agricultural drought and its association with climatic variables in the Upper Awash basin. Mann–Kendall (MK) trend test was employed to examine the drought trend while Sen’s slop estimator and pixel-based linear regression model were used to analyze the magnitude of drought changes. The association between agricultural drought and climatic variables was evaluated by the Pearson correlation coefficient (r). High spatiotemporal variability of drought was observed in Kiremit (June–September) and Belg (February–May) seasons. The Belg season spatial average vegetation condition index (VCI) trends were decreased insignificantly from 2001 to 2019 at a 5% significant level, whereas the spatial average VCI trends of Kiremit season were increased insignificantly. The return period of severe droughts during the Belg season was less frequent than the Kiremt season severe drought. The correlation between spatial average VCI and precipitation was positive for Belg and Kiremit seasons. Likewise, the correlation between average VCI and land surface temperature (LST) was negative in Belg and positive in Kiremit season. Moreover, the correlation between mean VCI and Pacific Ocean Sea Surface Temperature (SST) was positive for Belg and Kiremit seasons. The influencing factor of precipitation and LST on VCI during Belg season was higher than Kiremit season. The findings of this study are vital for decision-making systems and preparing plans to adjust sowing time, select drought-resistant crops, practice in situ water conservation, practice small-scale irrigation and diversify the income of smallholder farmers.

show abstract

“…Noise errors (local variability) are also a characteristic of both DEMs, while the ASTER GDEM V2 exhibits more high frequency noise than V1 overall and as the (although limited) SRTM-1 DEM examples [53]. While vegetation and tree canopy are present in both DEMs [68,69], it is stated that GDEM2 has higher elevations than SRTM in many forested areas [53,69] and that higher slopes and elevation are correlated with errors in SRTM DEMs [70,71] and ASTER GDEM V2, but less strong [14] or not apparent in the case of elevation [53]. Further, SRTM DEMs tend to overestimate valley-floor elevation and underestimate ridge elevation [62,72].…”

Section: Demsmentioning

confidence: 99%

Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia

Becker

Andrés-Herrero

Willmes

et al. 2017

IJGI

View full text Add to dashboard Cite

Abstract:The overall objective of this work is to apply GIS-based cost distance modeling (CDM) to site catchment modeling and analysis of prehistoric (Solutrean) sites in Andalusia. The implementation of a GIS-method for slope-based CDM was explained in detail, so that it can be replicated easily in future studies. Additional cost components, vegetation and stream networks, were included in the method. The presented CDM approach uses slope rasters as input data, which were derived from digital elevation models (DEMs). Various DEMs that differ in cell size, accuracy and other characteristics can be applied to this method. Thus, a major goal of this work is to investigate the influence different publicly available DEMs (SRTM, ASTER GDEM, EU-DEM, official 5-m/10-m cell size DEMs) have on the results of GIS-based CDM. While the investigation was conducted on sites from different chronocultural periods, a case study was performed on Solutrean sites in order to test the CDM approach by producing actual results and then comparing and interpreting them from an archaeological perspective. The results of the DEM evaluation with resampled horizontal resolutions show a clear influence of the DEM cell size on the modeled catchment area sizes. The investigation also indicates that this influence can be superimposed by other factors, such as noise and residuals of filtered anthropogenic features, when using DEMs of different origins.

show abstract

Assessing the Accuracy of SRTM Dem and Aster Gdem Datasets for the Coastal Zone of Shandong Province, Eastern China

Abstract: ABSTRACT

Cited by 18 publications

References 20 publications

Influence of different relief information sources on the geomorphological characterization of small watersheds

Influence of different relief information sources on the geomorphological characterization of small watersheds

Spatiotemporal variability of agricultural drought and its association with climatic variables in the Upper Awash Basin, Ethiopia

Investigating the Influence of Different DEMs on GIS-Based Cost Distance Modeling for Site Catchment Analysis of Prehistoric Sites in Andalusia

Contact Info

Product

Resources

About