Advertisement

Study of the desertification index based on the albedo-MSAVI feature space for semi-arid steppe region

  • Zhenhua Wu
  • Shaogang Lei
  • Zhengfu BianEmail author
  • Jiu Huang
  • Yong Zhang
Original Article
  • 116 Downloads

Abstract

Desertification has been listed as the top of ten major problems affecting global environmental changes, and represents one of the important reasons of semi-arid grassland degradation. It is therefore crucial to understand ecological environment of semi-arid grasslands and temporal and spatial changes in real time for regional and local environmental protection and management. At present, remote sensing technology is being widely used in monitoring and evaluation of land desertification due to its wide observation range, large amount of information, fast data updating and high accuracy. It represents an advanced method for remote sensing monitoring of desertification by extracting various indicators and constructing feature space. Based on this, this study used Landsat images and field survey data to establish a desertification index (SASDI) model based on the albedo-MSAVI (Modified Soil Adjusted Vegetation Index) feature space and analyze the relationship between desertification and surface quantitative parameters in semi-arid grassland area. Results show that the SASDI model has a high correlation (R2 = 0.7585) with the organic matter in the soil surface and makes full use of multi-dimensional remote sensing information. The index reflects the surface cover, water, and heat combination as well as changes of the desertification land, with a clear biophysical significance. Moreover, the index is simple and easy to obtain, facilitating to quantitative analysis and continuous monitoring of desertification in semi-arid grasslands.

Keywords

Albedo MSAVI Feature space Desertification index Remote sensing monitoring 

Notes

Acknowledgements

This study was supported by the Seventh Project “The National Key Research and Development Program of China 2016YFC0501107”, “National Natural Science Foundation of China U1710120” and “National key projects for basic science and technology work of China 2014FY110800”.

Funding

This research was funded by (Key Technologies of Landscape Ecological Restoration of Large-scale Coal-power Bases) Grant number (2016YFC0501107), National Natural Science Foundation of China (U1710120) and National key projects for basic science and technology work of China (2014FY110800).

References

  1. Becerril-Piña R, Díaz-Delgadoa C, Mastachi-Loza CA, González-Sosa E (2016) Integration of remote sensing techniques for monitoring desertification in Mexico. Hum Ecol Risk Assess 22(6):1323–1340CrossRefGoogle Scholar
  2. Burke IC, Laurenroth WK, Milchunas DG (1997) Biogeochemistry of managed grasslands in central North America. In: Paul EA (ed) Soil organic matter in temperate agroecosystems: long-term experiments in North America. CRC, Boca Raton, pp 85–102Google Scholar
  3. Capozzi F, Di Palma A (2018) Assessing desertification in sub-Saharan peri-urban areas: case study applications in Burkina Faso and Senegal. J Geochem Explor 190:281–291CrossRefGoogle Scholar
  4. Charney J, Stone PH, Quirk WJ (1975) Drought in the sahara: a biogeophysical feedback mechanism. Science 187(4175):434CrossRefGoogle Scholar
  5. Crist EP, Cicone RC (1984a) Application of the Tasseled Cap concept to simulated thematic mapper data. Photogramm Eng Remote Sens 50(3b):343–352Google Scholar
  6. Crist EP, Cicone RC (1984b) A physically-based transformation of thematic mapper data—the TM Tasseled Cap. IEEE Trans Geosci Remote Sens 22(3a):256–263CrossRefGoogle Scholar
  7. D’Odorico P, Bhattachan A, Kyle F, Davis KF, Ravi S, Runyan CW (2013) Global desertification: drivers and feedbacks. Adv Water Resour 51:326–344CrossRefGoogle Scholar
  8. Del Valle HF, Elissalde NO, Gagliardini DA et al. Status of desertification in the Patagonian region: assessment and mapping from satellite imagery. Arid Soil Res Rehabilit 1998, 12(2): 95–121Google Scholar
  9. Deng C, Wu C (2012) BCI: a biophysical composition index for remote sensing of urban environments. Remote Sens Environ 127(5):247–259CrossRefGoogle Scholar
  10. Development Planning Department of Agriculture (2002) National grassland ecological construction planning. Agriculture Press, BeijingGoogle Scholar
  11. Dickinson RE (1995) Land processes in climate models. Remote Sens Environ 51(1):27–38CrossRefGoogle Scholar
  12. Ding J, Juan QU, Yongmeng S et al (2013) The retrieval model of soil salinization information in arid region based on MSAVI-WI feature space: a case study of the delta oasis in Weigan-Kuqa watershed. Geogr Res 32(2):223–232Google Scholar
  13. Ding J, Yuan Y, Fei W (2014) Detecting soil salinization in arid regions using spectral feature space derived from remote sensing data. Acta Ecol Sin 34(16):4620–4631Google Scholar
  14. Feng Y, Wang Y (2009) Estimated of soil moisture from Ts-EVI feature space. Acta Ecol Sin 29(9):4884–4891Google Scholar
  15. Gao Y, Xingguo H, Shiping W (2004) The effects of grazing on grassland soils. Acta Ecol Sin 24(4):790–797Google Scholar
  16. Gillies RR, Carlson TN, Cui J, Kustas WP, Humes KS (1997) A verification of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface radiant temperature. Int J Remote Sens 18(15):3145–3166CrossRefGoogle Scholar
  17. Gitelson AA, Kaufman YJ, Stark R, Rundquist D (2002) Novel algorithms for remote estimation of vegetation fraction. Remote Sens Environ 80(1):76–87CrossRefGoogle Scholar
  18. Guan Y (2015) Global desertification index building and desertification trend analysis based on remote sensing image. University of electronic Science and Technology of China, ChengduGoogle Scholar
  19. Guangyin HU, Zhibao D, Junfeng LU et al (2015) The developmental trend and influencing factors of aeolian desertification in the Zoige Basin, eastern Qinghai–Tibet Plateau. Aeol Res 19:275–281CrossRefGoogle Scholar
  20. Gülersoy AE (2013) Farkli uzaktan algilama teknikleri kullanilarak arazi örtüsü/kullaniminda meydana gelen değişimlerin incelenmesi: manisa merkez ilçesi örneği (1986–2010). Turk Stud Int Period Lang Lit Hist Turk Turk 8(8):1915–1934 (ANKARA–TURKEY)Google Scholar
  21. Jingfeng X, Aaron M (2005) A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA. Remote Sens Environ 98(2–3):237–250Google Scholar
  22. Khan NM, Sato Y (2001) Monitoring hydro-salinity status and its impact in irrigated semi-arid areas using IRS-1B LISS-II data. Asian J Geoinform 1(3):63–73Google Scholar
  23. Lecain DR, Morgan JA, Schuman GE et al (2002) Carbon exchange and species composition of grazed pastures and exclosures in the shortgrass steppe of Colorado. Agric Ecosyst Environ 93(1):421–435CrossRefGoogle Scholar
  24. Li M (2003) The method of vegetation fraction estimation by remote sensing. Beijing: Institute of remote sensing applications of the Chinese Academy of SciencesGoogle Scholar
  25. Li J (2011) The response of vegetation-soil-soil fauna to desertification in the western of Ordos Plateau. Northeast Normal University, ChangchunGoogle Scholar
  26. Li J (2014) Spatio-temporal variations and its driving factors of the grassland sandy desertification in the horqin sand land based on remote sensing. Beijing: Chinese Academy of Agricultural Sciences DissertationGoogle Scholar
  27. Li SG, Harazono Y, Oikawa T et al (2000) Grassland desertification by grazing and the resulting micrometeorological changes in Inner Mongolia. Agric For Meteorol 102(2–3):125–137Google Scholar
  28. Li M, Bingfang WU, Changzhen Y, Weifeng Z (2004) Estimation of vegetation fraction in the upper basin of miyun reservoir by remote sensing. Resour Sci 26(4):153–159Google Scholar
  29. Li SG, Eugster W, Asanuma J, Kotani A, Davaa G, Oyunbaatar D, Sugita M (2006) Energy partitioning and its biophysical controls above a grazing steppe in central Mongolia. Agric For Meteorol 137(1):89–106CrossRefGoogle Scholar
  30. Li J, Y Xiuchun, J Yunxiang et al (2013) Monitoring and analysis of grassland desertification dynamics using Landsat images in Ningxia, China. Remote Sens Environ 138(6):19–26CrossRefGoogle Scholar
  31. Li N, Yan CZ, Xie JL (2015a) Remote sensing monitoring recent rapid increase of coal mining activity of an important energy base in northern China, a case study of Mu Us Sandy Land. Resour Conserv Recycl 94(94):129–135CrossRefGoogle Scholar
  32. Li Y, Jianli D, Yongmeng S et al (2015b) Remote sensing monitoring models of soil salinization based on the three dimensional feature space of MSAVI-WI-SI. Res Soil Water Conserv 4:113Google Scholar
  33. Liang S (2001) Narrowband to broadband conversions of land surface albedo I: algorithms. Remote Sens Environ 76(2):213–238CrossRefGoogle Scholar
  34. Lin YH, Mengli GZ et al (2010) Spatial vegetation patterns as early signs of desertification: a case study of a desert steppe in Inner Mongolia, China. Landsc Ecol 25(10):1519–1527CrossRefGoogle Scholar
  35. Liu Yun S, Danfeng Yu, Zhenrong et al (2008) Water deficit diagnosis and growing condition monitoring of winter wheat based on NDVI-Ts feature space. Trans CSAE 24(5):147–151Google Scholar
  36. London National Strategy For Sustainable, Unep Nairobi (1994) United Nations Convention to Combat Desertification in Countries Experiencing Serious Drought and/or Desertification, particularly in AfricaGoogle Scholar
  37. Mcfeeters SK (1996) The use of the normalized difference water index (NDWI) in the delineation of open water features. Int J Remote Sens 17(7):1425–1432CrossRefGoogle Scholar
  38. Pan J, Li T (2013) Extracting desertification from Landsat TM imagery based on spectral mixture analysis and albedo-vegetation feature space. Nat Hazards 68:915–927CrossRefGoogle Scholar
  39. Percival HJ, Parfitt RL, Scott NA (2000) Factors controlling soil carbon levels in New Zealand grassland: is clay content important?. Soil Sci Soc Am J 64(5):1623–1630CrossRefGoogle Scholar
  40. Poitras TB, Villarreal ML, Waller EK et al (2018) Identifying optimal remotely-sensed variables for ecosystem monitoring in Colorado Plateau drylands. J Arid Environ 153:76–87CrossRefGoogle Scholar
  41. Potter GL, Ellsaesser HW, Maccracken MC et al (1981) Albedo change by man: test of climatic effects. Nature 291(5810):47–49CrossRefGoogle Scholar
  42. Qi J, Chehbouni A, Huete AR et al (1994) A modified soil adjusted vegetation index. Remote Sens Environ 48(2):119–126CrossRefGoogle Scholar
  43. Ridd MK (1995) Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for citiesâ. Int J Remote Sens 16(12):2165–2185CrossRefGoogle Scholar
  44. Robert KG, Running SW (1993) Community type differentiation using NOAA/AVHRR data within a sagebrush-steppe ecosystem. Remote Sens Environ 46(3):311–318CrossRefGoogle Scholar
  45. Röder A, Hill J et al. (2008) Trend analysis of Landsat-TM and -ETM + imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece. Remote Sens Environ 112(6):2863–2875CrossRefGoogle Scholar
  46. Rouse JW, Haas RH, Schell JA et al (1973) Monitoring vegetation systems in the Great Plains with ERTS. Nasa Spec Publ 351:309Google Scholar
  47. Sagan CT, Owen B, Pollack JB (1979) Anthropogenic albedo changes and the earth’s climate. Science 206(4425):1363CrossRefGoogle Scholar
  48. Sommer S, Zucca C, Grainger A et al (2011) Application of indicator systems for monitoring and assessment of desertification from national to global scales. Land Degrad Dev 22(2):184–197CrossRefGoogle Scholar
  49. Sui X, Qiming Q et al (2013) Monitoring of farmland drought based on LST-LAI spectral feature space. Spectrosc Spectr Anal 33(1):201Google Scholar
  50. Tucker CJ, Newcomb WW (1991) Expansion and contraction of the sahara desert from 1980 to 1990. Science 253(5017):299–300CrossRefGoogle Scholar
  51. Verstraete MM, Pinty B (1996) Designing optimal spectral indexes for remote sensing applications. IEEE Trans Geosci Remote Sens 34(5):1254–1265CrossRefGoogle Scholar
  52. Verstraete MM, Scholes RJ Smith MS (2009) Climate and desertification: looking at an old problem through new lenses. Front Ecol Environ 7(8):421–428CrossRefGoogle Scholar
  53. Wang G, Hu Z, Du H et al (2006) Analysis of grassland desertification due to coal mining based on remote sensing——an example from huolinhe open-cast coalmine. J Remote Sens 10(6):917–925Google Scholar
  54. Wang F, Ding J, Wu M (2010) Remote sensing monitoring models of soil salinization based on NDVI-SI feature space. Trans CSAE 26(8):168–173Google Scholar
  55. Wei H, Zongwei H et al (2015) Spatial distribution of soil organic matter based on topographic unit. Trans Chin Soc Agric Mach 4:161–167Google Scholar
  56. William H, Schlesinger JF, Reynolds GL et al (1990) Biological feedbacks in global desertification. Science 247(4946):1043–1048CrossRefGoogle Scholar
  57. Wu CL, Gaohuan L et al (2016) The spatial distribution of soil organic matter on the north-central Mongolian Plateau. Resour Sci 38(5):994–1002Google Scholar
  58. Xiongde M, Limin F, Xiaotuan Z et al (2016) Dynamic change of land desertification and its driving mechanism in Yushenfu mining area based on remote sensing. J China Coal Soc 41(8):2063–2070Google Scholar
  59. Xu H (2010) Analysis of impervious surface and its impact on urban heat environment using the normalized difference impervious surface index (NDISI). Photogramm Eng Remote Sens 76(5):557–565CrossRefGoogle Scholar
  60. Xu D, Ding X (2018) Assessing the impact of desertification dynamics on regional ecosystem service value in North China from 1981 to 2010. Ecosyst Serv 30:172–180CrossRefGoogle Scholar
  61. Xu H et al. (2005) A study on information extraction of water body with the modified normalized difference water index (MNDWI). J Remote Sens 9(5):589–595Google Scholar
  62. Xueping HA, Jianli D, Tiyip T et al (2009) SI-albedo space-based remote sensing synthesis index models for monitoring of soil salinization. Acta Pedol Sin 46(4):698–703Google Scholar
  63. Yuan MX, Zou L, Lin AW, Zhu HJ (2016) Analyzing dynamic vegetation change and response to climatic factors in Hubei Province, China. Acta Ecol Sin 36(17):5315–5323Google Scholar
  64. Zeng Y, Feng Z et al (2006) Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring. Sci Geogr Sin 26(1):75–81Google Scholar
  65. Zha Y, Gao Y, Ni S (2003) Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int J Remote Sens 24:583–594CrossRefGoogle Scholar
  66. Zhao M, Ganlin Z et al (2013) Spatial variability of soil organic matter and its dominating factors in Xu-Huai Alluvial Plain. Acta Pedol Sin 50(1):1–11Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Zhenhua Wu
    • 1
    • 2
    • 3
  • Shaogang Lei
    • 2
    • 3
  • Zhengfu Bian
    • 2
    • 3
    Email author
  • Jiu Huang
    • 2
    • 3
  • Yong Zhang
    • 4
  1. 1.Institute of Land and ResourcesChina University of Mining and TechnologyXuzhouChina
  2. 2.Ministry of Education Engineering Research Center for Mine Ecological RestorationXuzhouChina
  3. 3.School of Environment Science and Spatial InformaticsChina University of Mining and TechnologyXuzhouChina
  4. 4.School of Finance and Public ManagementAnhui University of Finance and EconomicsBengbuChina

Personalised recommendations