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Performance validation of High Mountain Asia 8-meter digital elevation model using ICESat-2 geolocated photons

Journal of Mountain Science 2024年第8期21卷 2562-2578页

作者： Giribabu DANDABATHULA Subham ROY Omkar Shashikant GHATAGE Vaibhav Balaso KOLASE Shwetambari SATPUTE Koushik GHOSH Sahibnoor KAUR Satyanarayana PONDARI Apurba Kumar BERA Sushil Kumar SRIVASTAV Regional Remote Sensing Centre-West National Remote Sensing CentreIndian Space Research OrganisationJodhpur 342005India Department of Geography School of Earth SciencesBharathidasan UniversityTiruchirappalli 620024India Centre for Climate Change and Water Research Suresh Gyan Vihar UniversityJaipur 302017India Department of Geography Panjab UniversityChandigarh 160014India National Remote Sensing Centre Indian Space Research OrganisationHyderabad 500037India Regional Centres National Remote Sensing CentreIndian Space Research OrganisationNew Delhi 110049India

High Mountain Asia(HMA),recognized as a third pole,needs regular and intense studies as it is susceptible to climate *** accurate and high-resolution digital elevation model(DEM)for this region enables us to analyze it in a 3D environment and understand its intricate role as the Water Tower of *** science teams of NASA realized an 8-m DEM using satellite stereo imagery for HMA,termed HMA 8-m *** this research,we assessed the vertical accuracy of HMA 8-m DEM using reference elevations from ICESat-2 geolocated photons at three test sites of varied topography and land *** were made from statistical quantifiers and elevation *** the world’s highest mountain,Mount Everest,and its surroundings,Root Mean Squared Error(RMSE)and Mean Absolute Error(MAE)resulted in 1.94 m and 1.66 m,respectively;however,a uniform positive bias observed in the elevation profiles indicates the seasonal snow cover change will dent the accurate estimation of the elevation in this sort of test *** second test site containing gentle slopes with forest patches has exhibited the digital Surface model(DSM)features with RMSE and MAE of 0.58 m and 0.52 m,*** third test site,situated in the Zanda County of the Qinghai-Tibet,is a relatively flat terrain bed,mostly bare earth with sudden river cuts,and has minimal errors with RMSE and MAE of 0.32 m and 0.29 m,respectively,and with a negligible ***,in one more test site,the feasibility of detecting the glacial lakes was tested,which resulted in exhibiting a flat surface over the surface of the lakes,indicating the potential of HMA 8-m DEM for deriving the hydrological *** results accrued in this investigation confirm that the HMA 8-m DEM has the best vertical accuracy and should be of high use for analyzing natural hazards and monitoring glacier surfaces.

关键词： High Mountain Asia digital elevation model ICESat-2 geolocated photons Accuracy assessment

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Global detection of large lunar craters based on the CE-1 digital elevation model

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Frontiers of Earth Science 2013年第4期7卷 456-464页

作者： Lei LUO Lingli MU Xinyuan WANG Chao LI Wei JI Jinjin ZHAO Heng CAI Key Laboratory of digital Earth Sciences Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences Beijing 100094 China University of Chinese Academy of Sciences Beijing 100049 China National Astronomical Observatories Chinese Academy of Sciences Beijing 100012 China

Craters, one of the most significant features of the lunar surface, have been widely researched because they offer us the relative age of the surface unit as well as crucial geological information. Research on crater detec- tion algorithms （CDAs） of the Moon and other planetary bodies has concentrated on detecting them from imagery data, but the computational cost of detecting large craters using images makes these CDAs impractical. This paper presents a new approach to crater detection that utilizes a digital elevation model instead of images; this enables fully automatic global detection of large craters. Craters were delineated by terrain attributes, and then thresholding maps of terrain attributes were used to transform topographic data into a binary image, finally craters were detected by using the Hough Transform from the binary image. By using the proposed algorithm, we produced a catalog of all craters ≥ 10 km in diameter on the lunar surface and analyzed their distribution and population characteristics.

关键词： digital elevation model crater detection algorithm (CDA) curvature Hough Transform CE-1

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Application of digital elevation model in delineating drainage networks

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Journal of Chongqing University 2005年第1期4卷 38-40页

作者：孙艳玲 College of Resources and Environment Southwest Agriculture University Chongqing 400700 P.R. China

A practical method to extract drainage network from DEM (digital elevation model) is introduced. DEM pretreatment includes depression and flat areas treatment. The flow direction of each grid cell in DEM is calculated according to the 8-direction pour point model, and then the flow accumulation grid from the flow direction grid. With the flow accumulation grid, streams are defined according to the given threshold value of flow accumulation. Taking Gufo River watershed as an example, the extraction of drainage network was done from DEM. The results are basically consistent with the digitized drainage network from the relief maps.

关键词： digital elevation model drainage network delineation watershed

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Tidal land digital elevation model Remote Sensing based on High-Resolution Tidal level Grid

Tidal land Digital Elevation Model Remote Sensing based on H...

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中国海洋湖沼学会第十次全国会员代表大会暨学术研讨会

作者： WU Di Du Yunyan Zhou Chenghu Su Fenzhen Yang Xiaomei Zhang Tao Key State Lab of Resources and Environmental Information system Institute of Geographic Sciences and Natural Resources Research CAS Yantai Institute of Coastal Zone Research CAS Dalian Naval Academy

Waterline method and tidal level grid were investigated to construct digital elevation model （DEM） of tidal land of mud. Based on a series of China property Beijing-1（BJ-1） small satellite image data, which are kept in the achieves and can cover an area of 600 km×600 km, a series of waterlines were automatically extracted with improved accuracy using "region grow integrating edge information" considering different tidal conditions of the mud tidal land. A high precision tidal level grid of 1.2′×1.2′ of China coastal sea of Bohai was firstly applied to establish spatial joining with each waterline at each time when the satellite was imaging. This fine regional ocean tide model around China sea was based on POM model and blending assimilation approach. Then the assignment of elevations to the waterlines were performed by spatial joining between this tidal level grids and waterlines. Based on these waterline points, the triangulated irregular network （TIN） of tidal land topography was built. Then the grid DEM was generated by TIN. Different from other methods, waterline is not considered a contour line but the elevation of waterline points were assigned according to the high precise tidal level grid, so a precise DEM was acquired. Compared with the results of in situ GPS RTK surveying of three profiles, the mean values of elevation absolute error were less than 0.2 m, and the overall standard error was 0.188 m. This accuracy will meet the DEM mapping acquirement of 1:200 000, and some important area of 1:50 000.

关键词： tidal land of mud waterline tidal level grid digital elevation model

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Managing Soil Erosion Potential by Integrating digital elevation models with the Southern China's Revised Universal Soil Loss Equation——A Case Study for the West Lake Scenic Spots Area of Hangzhou,China

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Journal of Mountain Science 2007年第3期4卷 237-247页

作者： WANG Weiwu College of civil engineering and architecture Zijinggang Campus Zhefiang University Hangzhou 310058 China

In China, many scenic and tourism areas are suffering from the urbanization that results from physical development of tourism projects, leading to the removal of the vegetative cover, the creation of areas impermeable to water, in-stream modifications, and other problems. In this paper, the risk of soil erosion and its ecological risks in the West Lake Scenic Spots （WLSS） area were quantitatively evaluated by integrating the revised universal soil loss equation （RUSLE） with a digital elevation model （DEM） and geographical information system （GIS） software. The standard RUSLE factors were modified to account for local climatic and topographic characteristics reflected in the DEM maps, and for the soil types and vegetation cover types. An interface was created between the Areinfo software and RUSLE so that the level of soil erosion and its ecological risk in the WLSS area could be mapped immediately once the model factors were defined for the area. The results from an analysis using the Areinfo-RUSLE interface showed that the risk value in 93 % of the expanding western part of the WLSS area was moderate or more severe and the soil erosion risk in this area was thus large compared with that in the rest of the area. This paper mainly aimed to increase the awareness of the soil erosion risk in urbanizing areas and suggest that the local governments should consider the probable ecological risk resulting from soil erosion when enlarging and developing tourism areas.

关键词： West Lake Scenic Spots RUSLE model modification GIS digital elevation model ecological risk of soil erosion China

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Erosion processes in karst landscapes of the Russian plain northern taiga,based on digital elevation modeling

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Journal of Mountain Science 2016年第4期13卷 569-580页

作者： Elena POLYAKOVA Mikhail GOFAROV Yuriy KUTINOV Vladimir BELJAEV Zinaida CHISTOVA Nikolay NEVEROV Vadim STARITSYN Alexandr MINEEV Sergey DURYNIN Institute of Ecological Problems of the North Ural Branch of Russian Academy of SciencesGeological Structure and Dynamics of the Lithosphere Laboratory Space Monitoring of the Arctic Centre of the Northern Arctic Federal University namedafter M.V.Lomonosov Arkhangelsk163000Russia Institute of Ecological Problems of the North Ural Branch of Russian Academy of SciencesMolecular Ecology and Biogeography LaboratoryArkhangelsk163000Russia Institute of Ecological Problems of the North Ural Branch of Russian Academy of SciencesGeological Structure and Dynamics of the Lithosphere LaboratoryArkhangelsk163000Russia

This paper considers the problems of the potential development of erosion processes in the natural landscapes of northern taiga in the Russian plain. It is considered that in forest ecosystems, erosion processes are slow and are weakly reflected in the terrain. However, the situation changes radically if the vegetation cover integrity is violated, which is inevitable with the modern methods of developing northern territories. Furthermore, global changes in average annual temperatures and the occurrence of karst processes may be the reason behind the development of erosion processes. The authors suggest a method for determining territories with a varying occurrence probability of erosional processes, based on digital elevation modelling. The territory of the Pinezhsky Nature Reserve(Arkhangelsk region) was chosen as the test plot. Direct field studies were previously used to detect exogenous geological processes in this territory. The authors were the first to suggest digital elevation modelling as a method that allows determining the potential danger of erosion in karst landscapes of the northern taiga. The geomorphometric studies resulted in the determination of areas with the greatest and lowest occurrence probability of erosion processes in the Pinezhsky Nature Reserve. It was established that the most significant erosion type was linear erosion, represented by incised river valleys and karst ravines. Sheet erosion is less significant and occurs as sinkholes, local declines, and chasms over the valleys of subterranean rivers.

关键词： Russian plain Erosion processes Karst Northern taiga digital elevation model Geomorphometric parameters

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Comparative evaluation of Cartosat-1 and SRTM imageries for digital elevation modelling

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Geo-Spatial Information Science 2013年第2期16卷 75-82页

作者： Kiran YARRAKULA D.DEB B.SAMANTA Civil Engineering Department Bapatla Engineering CollegeBapatlaIndia Mining Engineering Department IITKharagpurIndia

digital elevation models(DEM)of a hilly–valley region are prepared using stereo images of Cartosat-1 and Shuttle Radar Topography Mission(SRTM)*** procedure of ortho-image generation from Cartosat-1 stereo images and the estimation of ground features from ortho-image are elaborated in the *** of DEMs prepared from both images is discussed in terms of the quality of ground features detection,hydrological applications and geometrical *** is found that DEM prepared from Cartosat-1 images are more accurate in the valley region and hence it is better suited for hydrological *** the contrary,for hilly region,SRTM images produce better ***,if ground control points and Rational Polynomial Coefficients can be obtained in the hilly region,more accurate DEM can be prepared using Cartosat-1 stereo images.

关键词： digital elevation model Cartosat-1 SRTM

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A Novel Evolutionary Genetic Optimization-Based Adaptive Neuro-Fuzzy Inference System and Geographical Information Systems Predict and Map Soil Organic Carbon Stocks Across an Afromontane Landscape

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Pedosphere 2017年第5期27卷 877-889页

作者： kennedy o.were dieu tien bui Φystein bjarne dick bal ram singh Department of Mathematical Sciences and Technology Norwegian University of Life SciencesP.O.Box 5003 NO.1432 AsNorway Kenya Agricultural and Livestock Research Organisation Kenya Soil SurveyP.O.Box 14733—00806 NairobiKenya Department of Business Administration and Computer Science Faculty of Arts and SciencesUniversity College of Southeast NorwayNO一3800 BΦi TelemarkNoway Department of Environmental Sciences Norwegian University of Life SciencesP.O.Box 5003NO一1432 AsNorway

Soil organic carbon （SOC） pool has the potential to mitigate or enhance climate change by either acting as a sink, or a source of atmospheric carbon dioxide （CO2） and also plays a fundamental role in the health and proper functioning of soils to sustain life on Earth. As such, the objective of this study was to investigate the applicability of a novel evolutionary genetic optimization-based adaptive neuro-fuzzy inference system （ANFIS-EG） in predicting and mapping the spatial patterns of SOC stocks in the Eastern Mau Forest Reserve, Kenya. Field measurements and auxiliary data reflecting the soil-forming factors were used to design an ANFIS-EG model, which was then implemented to predict and map the areal differentiation of SOC stocks in the Eastern Mau Forest Reserve. This was achieved with a reasonable level of uncertainty （i.e., root mean square error of 15.07 Mg C ha-l）, hence demonstrating the applicability of the ANFIS-EG in SOC mapping studies. There is potential for improving the model performance, as indicated by the current ratio of performance to deviation （1.6）. The mapping also revealed marginally higher SOC stocks in the forested ecosystems （i.e., an average of 109.78 M C ha-1） than in the aro-ecosvstems （i.e., an average of 95.9 Mg C ha-l）.

关键词： artificial neural networks carbon sequestration climate change mitigation digital elevation model digital soil mapping,Eastern Mau Forest Reserve fuzzy logic

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Prediction of Soil Depth from digital Terrain Data by Integrating Statistical and Visual Approaches

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Pedosphere 2010年第3期20卷 361-367页

作者： F. M. ZIADAT International Center for Agricultural Research in the Dry Areas (ICARDA) P.O. Box 5466Aleppo (Syria)

Information about the spatial distribution of soil attributes is indispensable for many land resource management applications; however, the ability of soil maps to supply such information for modern modeling tools is questionable. The objectives of this study were to investigate the possibility of predicting soil depth using some terrain attributes derived from digital elevation models （DEMs） with geographic information systems （GIS） and to suggest an approach to predict other soil attributes. Soil depth was determined at 652 field observations over the A1-Muwaqqar Watershed （70 km2） in Jordan. Terrain attributes derived from 30-m resolution DEMs were utilized to predict soil depth. The results indicated that the use of multiple linear regression models within small watershed subdivisions enabled the prediction of soil depth with a difference of 50 cm for 77% of the field observations. The spatial distribution of the predicted soil depth was visually coincided and had good correlations with the spatial distribution of the classes amalgamating three terrain attributes, slope steepness, slope shape, and compound topographic index. These suggested that the modeling of soil-landscape relationships within small watershed subdivisions using the three terrain attributes was a promising approach to predict other soil attributes.

关键词： compound topographic index digital elevation model GIS watershed

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Spatial Estimation of Saturated Hydraulic Conductivity from Terrain Attributes Using Regression,Kriging,and Artificial Neural Networks

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Pedosphere 2011年第2期21卷 170-177页

作者： H.R.MOTAGHIAN J.MOHAMMADI Department of Soil Science Agriculture CollegeShahrekord UniversityShahrekord (Iran)

Several methods,including stepwise regression,ordinary kriging,cokriging,kriging with external drift,kriging with varying local means,regression-kriging,ordinary artificial neural networks,and kriging combined with artificial neural networks,were compared to predict spatial variation of saturated hydraulic conductivity from environmental *** methods except ordinary kriging allow for inclusion of secondary *** secondary spatial information used was terrain attributes including elevation,slope gradient,slope aspect,profile curvature and contour curvature.A multiple jackknifing procedure was used as a validation *** mean square error (RMSE) and mean absolute error (MAE) were used as the validation indices,with the mean RMSE and mean MAE used to judge the prediction *** performance by ordinary kriging was poor,indicating that prediction of saturated hydraulic conductivity can be improved by incorporating ancillary data such as terrain *** combined with artificial neural networks performed *** prediction models made better use of ancillary information in predicting saturated hydraulic conductivity compared with the competing *** combination of geostatistical predictors with neural computing techniques offers more capability for incorporating ancillary information in predictive soil *** is great potential for further research and development of hybrid methods for digital soil mapping.

关键词： digital elevation model geostatistics soil hydraulic properties spatial mapping

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