Determination of green aboveground biomass in desert steppe using litter-soil-adjusted vegetation index

European Journal of Remote Sensing

Volumn 47, Issue 1, 2014, Pages 611-625

  Zhou, Guangsheng ^b,c  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b STATE KEY LABORATORY OF SEVERE WEATHER   (China)

^c INSTITUTE OF BOTANY   (China)

Author keywords

Cellulose absorption index; Desert steppe; Field spectrometry; Green aboveground biomass; Litter soil adjusted vegetation indices

Indexed keywords

ABSORPTION SPECTROSCOPY; BIOMASS; CELLULOSE; CLIMATE CHANGE; LANDFORMS; RISK ASSESSMENT; RISK PERCEPTION; SOILS;

ABOVE GROUND BIOMASS; CELLULOSE ABSORPTION INDICES; DESERT STEPPE; FIELD SPECTROMETRY; VEGETATION INDEX;

VEGETATION;

ABOVEGROUND BIOMASS; ARID ENVIRONMENT; DESERT; ENVIRONMENTAL DEGRADATION; FIELD SURVEY; FIRE MANAGEMENT; LITTER; REMOTE SENSING; RISK ASSESSMENT; SEMIARID REGION; STEPPE;

CHINA; NEI MONGGOL;

EID: 84907755102     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.5721/EuJRS20144734     Document Type: Article

References (54)

1. An N., Price K.P., Blair J.M. (2013)-Estimating above-ground net primary productivity of the tallgrass prairie ecosystem of the Central Great Plains using AVHRR NDVI. International Journal of Remote Sensing, 34: 3717-3735. doi: http://dx.doi.org/10.1080/01431161.2012.757376.
2. Asner G.P., Wessman C.A., Schimel D.S., Archer S. (1998)-Variability in leaf and litter optical properties: implications for canopy BRDF model inversions using AVHRR, MODIS, and MISR. Remote Sensing of Environment, 63: 200-215. doi: http://dx.doi.org/10.1016/S0034-4257(97)00138-7.
3. Baret F., Guyot G., Major D.J. (1989)-TSAVI: a vegetation index which minimizes soil brightness effects on LAI and APAR estimation. In IGARSS’89, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium and 12th Canadian Symposium on Remote Sensing, 10-14 July 1989, Vancouver B.C. IEEE, Piscataway N.J. 3, pp. 1355-1358.
4. Baret F., Guyot G. (1991)-Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35: 161-173. doi: http://dx.doi.org/10.1016/0034-4257(91)90009-U.
5. Baret F., Jacquemoud S., Hanocq J.F. (1993)-About the soil line concept in remote sensing. Advances in Space Research, 13: 281-284. doi: http://dx.doi.org/10.1016/0273-1177(93)90560-X.
6. Beeri O., Phillips R., Hendrickson J., Frank A.B., Kronberg S. (2007)-Estimating forage quantify and quality using aerial hyperspectral imagery for northern mixed-grass prairie. Remote Sensing of Environment, 110: 216-225. doi: http://dx.doi.org/10.1016/j.rse.2007.02.027.
7. Boschetti M., Bocchi S., Brivio P.A. (2007)-Assessment of pasture production in the Italian Alps using spectrometric and remote sensing information. Agriculture, Ecosystems and Environment, 118: 267-272. doi: http://dx.doi.org/10.1016/j.agee.2006.05.024.
8. Cao J., Chen J., Matsushita B., Imura H. (2010)-Developing a MODIS-based index to discriminate dead fuel from photosynthetic vegetation and soil background in the Asian steppe area. International Journal of Remote Sensing, 31: 1589-1604. doi: http://dx.doi.org/10.1080/01431160903475274.
9. Cui D., Li Y.L., Wang X.Y., Zhao X.Y., Zhang T.H. (2011)-Spatial distribution of aboveground biomass of grassland in desert and desertified regions in Northern China. Journal of Desert Research, 31 (4): 868-872.
10. Daughtry C.S.T., McMurtrey III J.E., Nagler P.L., Kim M.S., Chappelle E.W. (1996)-Spectral reflectance of soils and crop residues. In: Davies, A.M.C., William, P. (Eds.), Near Infrared Spectroscopy: The Future Waves. NIR Publications, Chichester, UK, pp. 505-510.
11. Daughtry C.S.T., Hunt Jr E.R., McMurtrey III J.E. (2004)-Assessing crop residue cover using shortwave infrared reflectance. Remote Sensing of Environment, 90: 126-134. doi: http://dx.doi.org/10.1016/j.rse.2003.10.023.
12. Daughtry C.S.T., Hunt Jr E.R., Doraiswamy P.C., McMurtrey III J.E. (2005)-Remote sensing the spatial distribution of crop residue. Agronomy Journal, 97: 864-874. doi: http://dx.doi.org/10.2134/agronj2003.0291.
13. Daughtry C.S.T., Doraiswamy P.C., Hunt Jr E.R., Stern A.J., McMurtrey III J.E., Prueger J.H. (2006)-Remote sensing of crop residue cover and soil tillage intensity. Soil & Tillage Research, 91: 101-108. doi: http://dx.doi.org/10.1016 /j.still.2005.11.013.
14. Eisfelder C., Kuenzer C., Dech S. (2012)-Derivation of biomass information for semi-arid areas using remote-sensing data. International Journal of Remote Sensing, 33: 2937-2984. doi: http://dx.doi.org/10.1080/01431161.2011.620034.
15. Elvidge C.D., Lyon R.J.P. (1985)-Influence of rock-soil spectral variation on the assessment of green biomass. Remote Sensing of Environment, 17: 265-279. doi: http://dx.doi.org/10.1016/0034-4257(85)90099-9.
16. Eswaran H., Lai R., Reich P.F. (2001)-Land degradation: an overview. In Responses to Land Degradation. Proceedings of the 2nd International Conference on Land Degradation and Desertification, 2001, Bridges E.M., Hannam I.D., Oldeman L.R., Pening de Vries F.W.T., Scher S.J., Sompatpanit S. (Eds.), Khon Kaen, Thailand, pp. 20-35.
17. Fang J.Y., Yang Y.H., Ma W.H., Annwar M.M.T., Shen H.H. (2010)-Ecosystem carbon stocks and their changes in China’s grasslands. Science China Life Science, 53 (7): 757-765. doi: http://dx.doi.org/10.1007/s11427-010-4029-x.
18. Fox G.A., Sabbagh G.J., Searcy S.W., Yang C. (2004)-An automated soil line identification routine for remotely sensed images. Soil Science Society of America Journal, 68:1326-1331. doi: http://dx.doi.org/10.2136/sssaj2004.1326.
19. Gao T., Xu B., Yang X.C., Jin Y.X., Ma H.L., Li J.Y., Yu H.D. (2013)-Using MODIS time series data to estimate aboveground biomass and its spatio-temporal variation in Inner Mongolia’s grassland between 2001 and 2011. International Journal of Remote Sensing, 34: 7796-7810. doi: http://dx.doi.org/10.1080/01431161.2013.823000.
20. Guo X. (2002)-Discrimination of Saskatchewan prairie ecoregions using multitemporal 10-day composite NDVI data. Prairie Perspectives, 5: 174-186.
21. He Y.H., Guo X.L., Wilmshurst J. (2006)-Studying mixed grassland ecosystems I: suitable hyperspectral vegetation indices. Canadian Journal of Remote Sensing, 32: 98-107. doi: http://dx.doi.org/10.5589/m06-009.
22. Hirata M., Kogab N., Shinjo H., Fujita H., Gintzburger G., Miyazaki A. (2001)-Vegetation classification by satellite image processing in a dry area of northeastern Syria. International Journal of Remote Sensing, 23: 507-516. doi: http://dx.doi.org/10.1080/01431160050505829.
23. Huete A.R., Jackson R.D., Post D.F. (1985)-Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment, 17: 37-53. doi: http://dx.doi.org/10.1016/0034-4257(85)90111-7.
24. Huete A.R. (1988) - A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25: 295-309. doi: http://dx.doi.org/10.1016/0034-4257(88)90106-X.
25. Jin Y.X., Yang X.C., Qiu J.J., Li J.Y., Gao T., Wu Q., Zhao F., Ma H.L., Yu H.D., Xu B. (2014)-Remote sensing-based biomass estimation and its spatio-temporal variations in temperate grassland northern China. Remote Sensing, 6: 1496-1513. doi: http://dx.doi.org/10.3390/rs6021496.
26. Liu Y., Zha Y., Gao J., Ni S. (2004)-Assessment of grassland degradation near Lake Qinhai, West China, using Landsat TM and in situ reflectance spectra data. International Journal of Remote Sensing, 25: 4177-4189. doi: http://dx.doi.org/10.1080/01431160410001680419.
27. Liu H.J., Zhang B., Song K.S., Wang Z.M., Duan H.T., Yang F., Zhang X.L. (2008)-Soil line influence factors analysis based on laboratory soil hyperspectral reflectance. Journal of Remote Sensing, 12: 119-127.
28. Liu L.Y., Zhao J.J., Guan L.L. (2013)-Tracking photosynthetic injury of Paraquat-treated crop using chlorophyll fluorescence from hyperspectral data. European Journal of Remote Sensing, 46: 459-473. doi: http://dx.doi.org/10.5721/EuJRS20134627.
29. Marino S., Alvino A. (2014)-Proximal sensing and vegetation indices for site-specific evaluation on an irrigated crop tomato. European Journal of Remote Sensing, 47: 271-283. doi: http://dx.doi.org/10.5721/EuJRS20144717.
30. Moleele N., Ringrose S., Arnberg W., Lunden B., Vanderpost C. (2001)-Assessment of vegetation indexes useful for browse (forage) prediction in semi-arid rangeland. International Journal of Remote Sensing, 22: 741-756. doi: http://dx.doi.org/10.1080/01431160051060147.
31. Montandon L.M., Small E.E. (2008)-The impact of soil reflectance on the quantification of the green vegetation fraction from NDVI. Remote Sensing of Environment, 112: 1835-1845. doi: http://dx.doi.org/10.1016/j.rse.2007.09.007.
32. Mulligan M. (2009)-Integrated environmental modelling to characterize processes of land degradation and desertification for policy support. In: Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment, Roder A., Hill J. (Eds), pp. 45-72. doi: http://dx.doi.org/10.1201/9780203875445.ch3.
33. Myneni R.B., Los S.O. (1995)-Potential gross primary productivity of terrestrial vegetation from 1982-1990. Geophysical Research Letters, 22: 2617-2620. doi: http://dx.doi.org/10.1029/95GL02562.
34. Myneni R.B., Maggion S., Laquinta J., Privette J.L., Gobron N., Pinty B., Kimes D.S., Verstraete M.M., Williams D.L. (1995)-Optical remote sensing of vegetation: modeling, caveats, and algorithms. Remote Sensing of Environment, 51: 169-188. doi: http://dx.doi.org/10.1016/0034-4257(94)00073-V.
35. Qi J., Chehbouni A., Huete A.R., Kerr Y.H., Sorooshia S. (1994)-A modified soil adjusted vegetation index. Remote Sensing of Environment, 48: 119-126. doi: http://dx.doi.org/10.1016/0034-4257(94)90134-1.
36. Qi J., Wallace O. (2002)-Biophysical attributes estimation from satellite images in arid regions. In: Proceeding of the International Geoscience and Remote Sensing Symposium 2002, IGARSS, 24-28 June 2002, Toronto, Canada, 4: 2000-2002.
37. R Development Core Team. (2012)-R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
38. Ren H.R., Zhou G.S., Zhang X.S. (2011)-Estimation of green aboveground biomass of desert steppe in Inner Mongolia based on red edge reflectance curve area method. Biosystems Engineering, 109: 385-395. doi: http://dx.doi.org/10.1016/j.biosystemseng.2011.05.004.
39. Ren H.R., Zhou G.S. (2012)-Estimating senesced biomass of desert steppe in Inner Mongolia using field spectrometric data. Agricultural and Forest Meteorology, 161: 66-71. doi: http://dx.doi.org/10.1016/j.agrformet.2012.03.010.
40. Richardson A.J., Wiegand C.L. (1977)-Distinguishing vegetation from soil background information. Photogrammetric Engineering & Remote Sensing, 43 (2): 1541-1552.
41. Rondeaux G., Steven M., Baret F. (1996)-Optimization of soil-adjusted vegetation indices. Remote Sensing of Environment, 55: 95-107. doi: http://dx.doi.org/10.1016/0034-4 257(95)00186-7.
42. Rouse J.W., Haas R.H., Schell J.A., Deering D.W. (1974)-Monitoring vegetation systems in the Great Plains with ERTS, third ERTS symposium. NASA SP-351, 1: 309-351.
43. Schino G., Borfecchia F., Dececco L., Dibari C., Iannetta M., Maritini S., Pedrotti F. (2003)-Satellite estimate of grass biomass in a mountainous range in central Italy. Agroforestry Systems, 59: 157-162. doi: http://dx.doi.org/10.1023/A:1026308928874.
44. Scurlock J.M.O., Hall D.O. (1998)-The global carbon sink: a grassland perspective. Global Change Biology, 4: 229-233. doi: http://dx.doi.org/10.1046/j.1365-2486.1998.00151.x.
45. Scurlock J.M.O., Johnson K., Olson R.J. (2002)-Estimating net primary productivity from grassland biomass dynamics measurements. Global Change Biology, 8: 736-753. doi: http://dx.doi.org/10.1046/j.1365-2486.2002.00512.x.
46. Svoray T., Shoshany M. (2003)-Herbaceous biomass retrieval in habitats of complex composition: a model merging SAR images with unmixed Landsat TM data. IEEE Transactions on Geoscience and Remote Sensing, 41: 1592-1602. doi: http://dx.doi.org/10.1109/TGRS.2003.813351.
47. Tian Y.C., Zhu Y., Cao W.X. (2005)-Monitoring soluble sugar, total nitrogen & its ratio in wheat leaves with canopy spectral reflectance. Acta Agronomica sinica, 31: 355-360.
48. United States Department of Agriculture (1999)-Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys. Available online at: ftp://ftp-fc.sc.egov.usda.gov/NSSC/Soil_Taxonomy/tax.pdf.
49. Verstraete M.M. (1986)-Defining desertification: a review. Climate Change, 9: 5-18. doi: http://dx.doi.org/10.1007/BF00140520.
50. Van Leeuwen W.J.D., Huete A.R. (1996)-Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices. Remote Sensing of Environment, 55: 123-134. doi: http://dx.doi.org/10.1016/0034-4257(95)00198-0.
51. Wessels S.D., Prince S.D., Zambatis N., Macfadyen S., Frost P.E., Van Zyl D. (2006)-Relationship between herbaceous biomass and 1-km2 Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa. International Journal of Remote Sensing, 27: 951-973. doi: http://dx.doi.org/10.1080/01431160500169098.
52. Xia J.Z., Liu S.G., Liang S.L., Chen Y., Xu W.F., Yuan W.P. (2014)-Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sensing, 6: 1783-1802. doi: http://dx.doi.org/10.3390/rs6031783.
53. Zhao Y.S. (2003)-The Principle and Method of Analysis of Remote Sensing Application. Beijing: Science Press.
54. Zhang X. (2007)-Vegetation Map and Vegetation Regionalization Map of China (1:1 million). Beijing: China Land Press.