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A review of recent developments in HASM

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Abstract

Ground observation is able to obtain highly accurate data with high temporal resolution at observation points, but these observation points are too sparsely to satisfy the application requirements at regional scale. Satellite remote sensing can frequently supply spatially continuous information on earth surface, which is impossible from ground-based investigations, but remote sensing description is not able to directly obtain process parameters. In fact, in terms of fundamental theorem of surfaces, a surface is uniquely defined by the first fundamental coefficients, about the details of the surface observed when we stay on the surface, and the second fundamental coefficients, the change of the surface observed from outside the surface. A method for high accuracy surface modeling (HASM) has been developed initiatively to find solutions for error problem and slow-speed problem of earth surface modeling since 1986. HASM takes global approximate information (e.g., remote sensing images or model simulation results) as its driving field and local accurate information (e.g., ground observation data and/or sampling data) as its optimum control constraints. Its output satisfies the iteration stopping criterion which is determined by application requirement for accuracy. This paper reviews problems to be solved in every development stage and applications of HASM.

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References

  • Alkhasawneh MS, Ngah UK, Tay LT, Isa NAM (2014) Determination of importance for comprehensive topographic factors on landslide hazard mapping using artificial neural network. Environ Earth Sci 72(3):787–799

    Article  Google Scholar 

  • Butt N, Epps K, Overman H, Iwamura T, Fragoso JMV (2015) Assessing carbon stocks using indigenous peoples’ field measurementsin Amazonian Guyana. Forest Ecol Manag 338:191–199

    Article  Google Scholar 

  • Chambers JQ, Asner GP, Morton DC, Anderson LO, Saatchi SS, Espirito-Santo FDB, Souza MPC Jr (2007) Regional ecosystem structure and function: ecological insights from remote sensing of tropical forests. Trends Ecol Evol 22:414–423

    Article  Google Scholar 

  • Chen CF, Yue TX (2010) A method of DEM construction and related error analysis. Comput Geosci 36:717–725

    Article  Google Scholar 

  • Chen CF, Yue TX, Li YY (2012) A high speed method of SMTS. Comput Geosci 41:64–71

    Article  Google Scholar 

  • Chen CF, Yue TX, Dai HL, Tian MY (2013a) The smoothness of HASM. Int J Geogr Inf Sci 27:1651–1667

    Article  Google Scholar 

  • Chen CF, Li YY, Yue TX (2013b) Surface modeling of DEMs based on a sequential adjustment method. Int J Geogr Inf Sci 27:1272–1291

    Article  Google Scholar 

  • Chiesi M, Fibbi L, Genesio L, Gioli B, Magno R, Maselli F, Moriondo M, Vaccari FP (2011) Integration of ground and satellite data to model Mediterranean forest processes. Int J Appl Earth Obs Geoinf 13:504–515

    Article  Google Scholar 

  • Dobermann A, Ping JL (2004) Geostatistical integration of yield monitor data and remote sensing improves yield maps. Agron J 96:285–297

    Article  Google Scholar 

  • Emili E, Popp C, Wunderle S, Zebisch M, Petitta M (2011) Mapping particulate matter in alpine regions with satellite and ground-based measurements: an exploratory study for data assimilation. Atmos Environ 45:4344–4353

    Article  Google Scholar 

  • Evans IS (1980) An integrated system of terrain analysis and slope mapping. Z Geomorphol Suppl Bd 36:274–295

    Google Scholar 

  • Fan ZM, Li J, Yue TX (2013) Land-cover changes of biome transition zones in Loess Plateau of China. Ecol Model 252:129–140

    Article  Google Scholar 

  • Fang JY, Chen AP, Peng CH, Zhao SQ, Ci L (2001) Changes in forest biomass carbon storage in China between 1949 and 1998. Science 292:2320–2322

    Article  Google Scholar 

  • Galiano V, Migallon M, Migallon V, Penades J (2012) GPU-based parallel algorithms for sparse nonlinear systems. J Parallel Distr Com 72:1098–1105

    Article  Google Scholar 

  • Grotch SL, MacCracken MC (1991) The use of general circulation models to predict regional climate change. J Clim 4:286–303

    Article  Google Scholar 

  • Gupta M, Mohanty KK, Kumar D, Banerjee R (2014) Monitoring surface elevation changes in Jharia coalfield, India using synthetic aperture radar interferometry. Environ Earth Sci 71(6):2875–2883

    Article  Google Scholar 

  • Harding KJ, Snyder PK, Liess S (2013) Use of dynamical downscaling to improve the simulation of Central U.S. warm season precipitation in CMIP5 models. J Geoph Res: Atmos 118:12522–12536

    Google Scholar 

  • Helfenstein R, Koko J (2012) Parallel preconditioned conjugate gradient algorithm on GPU. J Comput Appl Math 236:3584–3590

    Article  Google Scholar 

  • Kerimov IA (2009) F-approximation of the earth’s surface topography. Izv Phys Solid Earth 45:719–729

    Article  Google Scholar 

  • Li QQ, Yue TX, Fan ZM, Du ZP (2010a) Study on method for spatial simulation of topsoil SOM at national scale in China. J Nat Resour 25:1385–1399 (in Chinese with English abstract)

    Google Scholar 

  • Li QQ, Yue TX, Fan ZM, Du ZP, Chen CF, Lu YM (2010b) Spatial simulation of topsoil TN at the national scale in China. Geograph Res 29:1981–1992 (in Chinese with English abstract)

    Google Scholar 

  • Li L, Wu K, Zhou DW (2014) Extraction algorithm of mining subsidence information on water area based on support vector machine. Environ Earth Sci 72(10):3991–4000

    Article  Google Scholar 

  • Liu ZP, Shao MA, Wang YQ (2013) Large-scale spatial interpolation of soil pH across the Loess Plateau, China. Environ Earth Sci 69(8):2731–2741

    Article  Google Scholar 

  • Midorikawa ET, de Oliveira HM, Laine JM (2005) PEMPIs: a new methodology for modeling and prediction of MPI programs performance. Int J Parallel Prog 33:499–527

    Article  Google Scholar 

  • Phillips JD (2002) Global and local factors in earth surface systems. Ecol Model 149:257–272

    Article  Google Scholar 

  • Piao SL, Fang JY, Ciais P, Peylin P, Huang Y, Sitch S, Wang T (2009) The carbon balance of terrestrial ecosystems in China. Nature 458:1009–1014

    Article  Google Scholar 

  • Prudhomme C, Davies H (2009) Assessing uncertainties in climate change impact analyses on the river flow regimes in the UK, Part 1: baseline climate. Clim Change 93:177–195

    Article  Google Scholar 

  • Raisanen J (2007) How reliable are climate models? Tellus A 59:2–29

    Article  Google Scholar 

  • Shi WJ, Liu JY, Song YJ, Du ZP, Chen CF, Yue TX (2009) Surface modeling of soil pH. Geoderma 150:113–119

    Article  Google Scholar 

  • Shi WJ, Liu JY, Du ZP, Stein A, Yue TX (2011) Surface modeling of soil properties based on land use information. Geoderma 162:347–357

    Article  Google Scholar 

  • Somasundaram D (2005) Differential geometry. Alpha Science International Ltd, Harrow

    Google Scholar 

  • Spivak M (1979) A comprehensive introduction to differential geometry, vol 3. Publish or Peril, Inc., Boston

  • Srivastava PK, Han DW, Rico-Ramirez MA, Bray M, Islam T, Gupta M, Dai Q (2014) Estimation of land surface temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product. Environ Earth Sci 72(12):5183–5196

    Article  Google Scholar 

  • Sun XF (2012) Spatial pattern simulation of terrestrial vegetation aboveground biomass. Dissertation for Doctoral Degree, Graduate University of Chinese Academy of Sciences, Beijing (in Chinese with English abstract)

  • Swann CA (2002) Maximum likelihood estimation using parallel computing: an introduction to MPI. Comput Econ 19:145–178

    Article  Google Scholar 

  • vonStorch H, Zorita E, Cubash U (1993) Downscaling of global climate change estimates to regional scales: an application to Iberian rainfall in wintertime. J Clim 6:1161–1671

    Article  Google Scholar 

  • Wang YF, Yue TX, Du ZP, Zhao MW (2015) Improving the accuracy of the height-diameter equation using the classified factors method. Environ Earth Sci. doi:10.1007/s12665-015-4168-2

    Google Scholar 

  • Yan CQ, Yue TX (2012a) A novel method for dynamic modeling and real-time rendering based on GPU. J Geo-Inf Sci 14:149–157 (in Chinese with English abstract)

    Google Scholar 

  • Yan CQ, Yue TX (2012b) GPU accelerated high accuracy surface modeling methods for DEM modeling. Comput Eng Appl 48:22–27 (in Chinese with English abstract)

    Google Scholar 

  • Yan CQ, Zhao G, Chen CF, Wang CL, Yue TX (2015) Speeding-up the high accuracy surface modelling method with GPU. Environ Earth Sci (in press)

  • Yue TX (2011) Surface modelling: high accuracy and high speed methods. CRC Press, New York

    Book  Google Scholar 

  • Yue TX (2015) Principles and methods of earth surface simulation. Science Press, Beijing (in Chinese)

    Google Scholar 

  • Yue TX, Ai NS (1990) The mathematic model of cirque morphology. J Glaciol Geocryol 12:227–234 (in Chinese with English Abstract)

    Google Scholar 

  • Yue TX, Song YJ (2008) The YUE-HASM method. In: Deren Li, Yong Ge and Giles M. Foody (eds) Accuracy in geomatics, pp 148–153

  • Yue TX, Wang SH (2010) Adjustment computation of HASM: a high-accuracy and high-speed method. Int J Geograph Inf Sci 24:1725–1743

    Article  Google Scholar 

  • Yue TX, Chen SP, Xu B, Liu QS, Li HG, Liu GH, Ye QH (2002) A curve-theorem based approach for change detection and its application to Yellow River Delta. Int J Remote Sens 23:2283–2292

    Article  Google Scholar 

  • Yue TX, Fan ZM, Liu JY (2005) Changes of major terrestrial ecosystems in China since 1960. Global Planet Change 48(4):287–302

    Article  Google Scholar 

  • Yue TX, Fan ZM, Liu JY, Wei BX (2006) Scenarios of major terrestrial ecosystems in China. Ecol Model 199(3):363–376

    Article  Google Scholar 

  • Yue TX, Du ZP, Song DJ, Gong Y (2007) A new method of surface modeling and its application to DEM construction. Geomorphology 91:161–172

    Article  Google Scholar 

  • Yue TX, Chen CF, Li BL (2010a) An adaptive method of high accuracy surface modeling and its application to simulating elevation surfaces. Trans GIS 14:615–630

    Article  Google Scholar 

  • Yue TX, Song DJ, Du ZP, Wang W (2010b) High-accuracy surface modelling and its application to DEM generation. Int J Remote Sens 31:2205–2226

    Article  Google Scholar 

  • Yue TX, Chen CF, Li BL (2012) A high accuracy method for filling SRTM voids and its verification. Int J Remote Sens 33:2815–2830

    Article  Google Scholar 

  • Yue TX, Zhao N, Yang H, Song YJ, Du ZP, Fan ZM, Song DJ (2013a) The multi-grid method of high accuracy surface modelling and its validation. Trans GIS 17(6):943–952

    Article  Google Scholar 

  • Yue TX, Zhao N, Ramsey RD, Wang CL, Fan ZM, Chen CF, Lu YM, Li BL (2013b) Climate change trend in China, with improved accuracy. Clim Change 120:137–151

    Article  Google Scholar 

  • Yue TX, Du ZP, Lu M, Fan ZM, Wang CL, Tian YZ, Xu B (2015a) Surface modelling of ecosystem responses to climatic change. Ecol Model (in press)

  • Yue TX, Zhao MW, Zhang XY (2015b) A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification. J Clean Prod (in Chinese)

  • Zhao N, Yue TX (2014a) A modification of HASM for interpolating precipitation in China. Theor Appl Climatol 116:273–285

    Article  Google Scholar 

  • Zhao N, Yue TX (2014b) Sensitivity studies of a high accuracy surface modelling method. Sci China-Earth Sci 57:1–11

Download references

Acknowledgments

This work is supported by Independent Research Project funded by State Key Laboratory of Resources and Environment Information System, by National Natural Science Foundation of China (91325204), by National High-tech R&D Program of the Ministry of Science and Technology of the People’s Republic of China (2013AA122003), by National Key Technologies R&D Program of the Ministry of Science and Technology of the People’s Republic of China (2013BACO3B05) and by National Basic Research Priorities Program (2010CB950904) of Ministry of Science and Technology of the People’s Republic of China.

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Authors and Affiliations

  1. State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

    Tian-Xiang Yue, Li-Li Zhang, Na Zhao, Ming-Wei Zhao, Zheng-Ping Du, Ze-Meng Fan & John Wilson

  2. Geomatics College, Shandong University of Science and Technology, Qingdao, China

    Chuan-Fa Chen

  3. Institute of Policy and Management, Chinese Academy of Sciences, Beijing, China

    Dun-Jiang Song

  4. Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

    Wen-Jiao Shi

  5. China Aerospace Science and Technology Consultant Co., Ltd, Beijing, China

    Shi-Hai Wang

  6. Department of Information Engineering, Shandong University of Science and Technology, Qingdao, China

    Chang-Qing Yan

  7. College of Resources and Environment, Sichuan Agricultural University, Ya’an, China

    Qi-Quan Li

  8. School of Geography and Tourism, Qufu Normal University, Qufu, China

    Xiao-Fang Sun

  9. Institute of Water Resources and Hydropower Research, Hohai University, Nanjing, China

    Hai Yang

  10. Spatial Sciences Institute, University of Southern California, Los Angeles, USA

    John Wilson

  11. School of Environment, Tsinghua University, Beijing, China

    Bing Xu

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  1. Tian-Xiang Yue
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  16. Bing Xu
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Correspondence to Na Zhao.

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Yue, TX., Zhang, LL., Zhao, N. et al. A review of recent developments in HASM. Environ Earth Sci 74, 6541–6549 (2015). https://doi.org/10.1007/s12665-015-4489-1

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