1,019
Views
45
CrossRef citations to date
0
Altmetric
Articles

Modelling above-ground biomass based on vegetation indexes: a modified approach for biomass estimation in semi-arid grasslands

, , , , & ORCID Icon
Pages 3835-3854 | Received 01 Mar 2018, Accepted 16 Nov 2018, Published online: 05 Dec 2018

References

  • Adams, J. B., M. O. Smith, and P. E. Johnson. 1986. “Spectral Mixture Modeling - a New Analysis of Rock and Soil Types at the Viking Lander-1 Site.” Journal of Geophysical Research-Solid Earth and Planets 91 (B8): 8098–8112. doi:10.1029/Jb091ib08p08098.
  • Adams, J. B., D. E. Sabol, V. Kapos, R. Almeida Filho, D. A. Roberts, M. O. Smith, and A. R. Gillespie. 1995. “Classification of Multispectral Images Based on Fractions of Endmembers — Application to Land-Cover Change in the Brazilian Amazon.” Remote Sensing of Environment 52 (2): 137–154. doi:10.1016/0034-4257(94)00098-8.
  • Anaya, J. A., E. Chuvieco, and A. Palacios-Orueta. 2009. “Aboveground Biomass Assessment in Colombia: A Remote Sensing Approach.” Forest Ecology and Management 257 (4): 1237–1246. doi:10.1016/j.foreco.2008.11.016.
  • Atzberger, C., and F. Rembold. 2013. “Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets.” Remote Sensing 5 (3): 1335–1354. doi:10.3390/rs5031335.
  • Beck, P. S. A., C. Atzberger, K. A. Hogda, B. Johansen, and A. K. Skidmore. 2006. “Improved Monitoring of Vegetation Dynamics at Very High Latitudes: A New Method Using MODIS NDVI.” Remote Sensing of Environment 100 (3): 321–334. doi:10.1016/j.rse.2005.10.021.
  • Chen, Q., and Z. F. Zhou. 2014. “The Application of Grassland Aboveground Biomass Estimating Model in Karst Mountainous Area.” Materials Science, Civil Engineering and Architecture Science, Mechanical Engineering and Manufacturing Technology, Pts 1 and 2 488–489: 741–745. doi:10.4028/www.scientific.net/AMM.488-489.741.
  • Fabricius, C., M. Burger, and P. A. R. Hockey. 2010. “Comparing Biodiversity between Protected Areas and Adjacent Rangeland in Xeric Succulent Thicket, South Africa: Arthropods and Reptiles.” Journal of Applied Ecology 40 (2): 392–403. doi:10.1046/j.1365-2664.2003.00793.x.
  • Foody, G. M. 1996. “Approaches for the Production and Evaluation of Fuzzy Land Cover Classifications from Remotely-Sensed Data.” International Journal of Remote Sensing 17 (7): 1317–1340. doi:10.1080/01431169608948706.
  • Foody, G. M., N. A. Campbell, N. M. Trodd, and T. F. Wood. 1992. “Derivation and Applications of Probabilistic Measures of Class Membership from the Maximum-Likelihood Classification.” Photogrammetric Engineering and Remote Sensing 58 (9): 1335–1341.
  • Gaitán, J. J., D. Bran, G. Oliva, G. Ciari, V. Nakamatsu, J. Salomone, D. Ferrante, et al. 2013. “Evaluating the Performance of Multiple Remote Sensing Indices to Predict the Spatial Variability of Ecosystem Structure and Functioning in Patagonian Steppes.” Ecological Indicators 34 (11): 181–191. doi:10.1016/j.ecolind.2013.05.007.
  • Gao, T., B. Xu, X. Yang, Y. Jin, H. Ma, J. Li, and H. Yu. 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 (21): 7796–7810. doi:10.1080/01431161.2013.823000.
  • Hird, J. N., and G. J. McDermid. 2009. “Noise Reduction of NDVI Time Series: An Empirical Comparison of Selected Techniques.” Remote Sensing of Environment 113 (1): 248–258. doi:10.1016/j.rse.2008.09.003.
  • Huete, A., K. Didan, T. Miura, E. P. Rodriguez, X. Gao, and L. G. Ferreira. 2002. “Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices.” Remote Sensing of Environment 83 (1–2): 195–213. doi:10.1016/S0034-4257(02)00096-2.
  • Huete, A., C. Justice, and W. Van Leeuwen. 1999. “MODIS Vegetation Index (MOD13).” Algorithm Theoretical Basis Document 120.
  • Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (Savi).” Remote Sensing of Environment 25 (3): 295–309. doi:10.1016/0034-4257(88)90106-X.
  • Huete, A. R., H. Q. Liu, K. Batchily, and W. Van Leeuwen. 1997. “A Comparison of Vegetation Indices over A Global Set of TM Images for EOS-MODIS.” Remote Sensing of Environment 59 (3): 440–451. doi:10.1016/S0034-4257(96)00112-5.
  • Huete, A. R., D. F. Post, and R. D. Jackson. 1984. “Soil Spectral Effects on 4-Space Vegetation Discrimination.” Remote Sensing of Environment 15 (2): 155–165. doi:10.1016/0034-4257(84)90043-9.
  • Jiang, Y. B., J. Tao, Y. Q. Huang, J. T. Zhu, L. Tian, and Y. J. Zhang. 2015. “The Spatial Pattern of Grassland Aboveground Biomass on Xizang Plateau and Its Climatic Controls.” Journal of Plant Ecology 8 (1): 30–40. doi:10.1093/jpe/rtu002.
  • Jiapaer, G., X. Chen, and A. M. Bao. 2011. “A Comparison of Methods for Estimating Fractional Vegetation Cover in Arid Regions.” Agricultural and Forest Meteorology 151 (12): 1698–1710. doi:10.1016/j.agrformet.2011.07.004.
  • Keenan, T. F., M. S. Carbone, M. Reichstein, and A. D. Richardson. 2011. “The Model-Data Fusion Pitfall: Assuming Certainty in an Uncertain World.” Oecologia 167 (3): 587–597. doi:10.1007/s00442-011-2106-x.
  • Li, F., W. Chen, Y. Zeng, Q. J. Zhao, and B. F. Wu. 2014. “Improving Estimates of Grassland Fractional Vegetation Cover Based on A Pixel Dichotomy Model: A Case Study in Inner Mongolia, China.” Remote Sensing 6 (6): 4705–4722. doi:10.3390/rs6064705.
  • Li, F., L. Jiang, X. F. Wang, X. Q. Zhang, J. J. Zheng, and Q. J. Zhao. 2013. “Estimating Grassland Aboveground Biomass Using Multitemporal MODIS Data in the West Songnen Plain, China.” Journal of Applied Remote Sensing 7: 073546. doi:10.1117/1.Jrs.7.073546.
  • Li, F., Y. Zeng, J. H. Luo, R. H. Ma, and B. F. Wu. 2016. “Modeling Grassland Aboveground Biomass Using a Pure Vegetation Index.” Ecological Indicators 62: 279–288. doi:10.1016/j.ecolind.2015.11.005.
  • Li, J. L., T. G. Liang, and Q. G. Chen. 1998. “Estimating Grassland Yields Using Remote Sensing and GIS Technologies in China.” New Zealand Journal of Agricultural Research 41 (1): 31–38. doi:10.1080/00288233.1998.9513285.
  • Luo, T. X., W. H. Li, and H. Z. Zhu. 2002. “Estimated Biomass and Productivity of Natural Vegetation on the Tibetan Plateau.” Ecological Applications 12 (4): 980–997. doi:10.2307/3061031.
  • Mutanga, O., and A. K. Skidmore. 2004. “Narrow Band Vegetation Indices Overcome the Saturation Problem in Biomass Estimation.” International Journal of Remote Sensing 25 (19): 3999–4014. doi:10.1080/01431160310001654923.
  • Pearson, R. L., and L. D. Miller. 1972. “Remote Mapping of Standing Crop Biomass for Estimation of the Productivity of the Shortgrass Prairie.” Paper presented at the Remote Sensing of Environment, VIII,  United States.
  • Piao, S. L., J. Y. Fang, J. S. He, and Y. Xiao. 2004. “Spatial Distribution of Grassland Biomass in China.” Acta Phytoecologica Sinica 28 (4): 491–498.
  • Prince, S. D., and C. J. Tucker. 1986. “Satellite Remote Sensing of Rangelands in Botswana II. NOAA AVHRR and Herbaceous Vegetation.” International Journal of Remote Sensing 7 (11): 1555–1570. doi:10.1080/01431168608948953.
  • Qi, J., A. Chehbouni, A. R. Huete, Y. H. Kerr, and S. Sorooshian. 1994. “A Modified Soil Adjusted Vegetation Index.” Remote Sensing of Environment 48 (2): 119–126. doi:10.1016/0034-4257(94)90134-1.
  • Rashed, T., J. R. Weeks, D. Roberts, J. Rogan, and R. Powell. 2003. “Measuring the Physical Composition of Urban Morphology Using Multiple Endmember Spectral Mixture Models.” Photogrammetric Engineering and Remote Sensing 69 (9): 1011–1020. doi:10.14358/Pers.69.9.1011.
  • Roberts, D. A., M. Gardner, R. Church, S. Ustin, G. Scheer, and R. O. Green. 1998. “Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models.” Remote Sensing of Environment 65 (3): 267–279. doi:10.1016/S0034-4257(98)00037-6.
  • Rouse, J. W. Jr, R. H. Haas, J. A. Schell, and D. W. Deering. 1974. “Monitoring Vegetation Systems in the Great Plains with Erts.” Nasa Special Publication 351: 309.
  • Roy, P. S., and S. A. Ravan. 1996. “Biomass Estimation Using Satellite Remote Sensing Data - an Investigation on Possible Approaches for Natural Forest.” Journal of Biosciences 21 (4): 535–561. doi:10.1007/Bf02703218.
  • Scurlock, J. M. O., K. Johnson, and R. J. Olson. 2002. “Estimating Net Primary Productivity from Grassland Biomass Dynamics Measurements.” Global Change Biology 8 (8): 736–753. doi:10.1046/j.1365-2486.2002.00512.x.
  • Segoli, M., E. D. Ungar, and M. Shachak. 2008. “Shrubs Enhance Resilience of a Semi-Arid Ecosystem by Engineering and Regrowth.” Ecohydrology 1 (4): 330–339. doi:10.1002/eco.21.
  • Todd, S. W., R. M. Hoffer, and D. G. Milchunas. 1998. “Biomass Estimation on Grazed and Ungrazed Rangelands Using Spectral Indices.” International Journal of Remote Sensing 19 (3): 427–438. doi:10.1080/014311698216071.
  • Tottrup, C., M. S. Rasmussen, L. Eklundh, and P. Jonsson. 2007. “Mapping Fractional Forest Cover across the Highlands of Mainland Southeast Asia Using MODIS Data and Regression Tree Modelling.” International Journal of Remote Sensing 28 (1–2): 23–46. doi:10.1080/01431160600784218.
  • Tucker, C. J., and P. J. Sellers. 1986. “Satellite Remote-Sensing of Primary Production.” International Journal of Remote Sensing 7 (11): 1395–1416. doi:10.1080/01431168608948944.
  • Tucker, C. J., C. L. Vanpraet, M. J. Sharman, and G. Van Ittersum. 1983. “Satellite Remote Sensing of Total Herbaceous Biomass Production in the Senegalese Sahel: 1980–1984.” Remote Sensing of Environment 17 (3): 233–249. doi:10.1016/0034-4257(85)90097-5.
  • van Den Berg, L. J. L., P. Vergeer, T. C. G. Rich, S. M. Smart, D. Guest, and M. R. Ashmore. 2011. “Direct and Indirect Effects of Nitrogen Deposition on Species Composition Change in Calcareous Grasslands.” Global Change Biology 17 (5): 1871–1883. doi:10.1111/j.1365-2486.2010.02345.x.
  • Wang, G., Q. Fang, B. Wu, H. Yang, and Z. Xu. 2015. “Relationship between Soil Erodibility and Modeled Infiltration Rate in Different Soils.” Journal of Hydrology 528: 408–418. doi:10.1016/j.jhydrol.2015.06.044.
  • Wang, G., P. Hapuarachchi, K. Takeuchi, and H. Ishidaira. 2009. “Grid‐Based Distribution Model for Simulating Runoff and Soil Erosion from a Large‐Scale River Basin.” Hydrological Processes: An International Journal 24: 641–653.
  • Wang, G., H. Jiang, Z. Xu, L. Wang, and W. Yue. 2012. “Evaluating the Effect of Land Use Changes on Soil Erosion and Sediment Yield Using a Grid-Based Distributed Modelling Approach.” Hydrological Processes 26 (23): 3579–3592. doi:10.1002/hyp.v26.23.
  • Wang, Q., S. Adiku, J. Tenhunen, and A. Granier. 2005. “On the Relationship of NDVI with Leaf Area Index in a Deciduous Forest Site.” Remote Sensing of Environment 94 (2): 244–255. doi:10.1016/j.rse.2004.10.006.
  • Wu, C., A. Gonsamo, C. M. Gough, J. M. Chen, and S. Xu. 2014. “Modeling Growing Season Phenology in North American Forests Using Seasonal Mean Vegetation Indices from MODIS.” Remote Sensing of Environment 147: 79–88. doi:10.1016/j.rse.2014.03.001.
  • Wu, C. S., and A. T. Murray. 2003. “Estimating Impervious Surface Distribution by Spectral Mixture Analysis.” Remote Sensing of Environment 84 (4): 493–505. doi:10.1016/S0034-4257(02)00136-0.
  • Xie, Y. C., Z. Y. Sha, M. Yu, Y. F. Bai, and L. Zhang. 2009. “A Comparison of Two Models with Landsat Data for Estimating above Ground Grassland Biomass in Inner Mongolia, China.” Ecological Modelling 220 (15): 1810–1818. doi:10.1016/j.ecolmodel.2009.04.025.
  • Xue, B.-L., Q. Guo, T. Hu, G. Wang, Y. Wang, S. Tao, Y. Su, J. Liu, and X. Zhao. 2017a. “Evaluation of Modeled Global Vegetation Carbon Dynamics: Analysis Based on Global Carbon Flux and Above-Ground Biomass Data.” Ecological Modelling 355: 84–96. doi:10.1016/j.ecolmodel.2017.04.012.
  • Xue, B., Q. Guo, T. Hu, J. Xiao, Y. Yang, G. Wang, S. Tao, Y. Su, J. Liu, and X. Zhao. 2017b. “Global Patterns of Woody Residence Time and Its Influence on Model Simulation of Aboveground Biomass.” Global Biogeochemical Cycles 31. doi:10.1002/2016GB005557.
  • Xue, B. L., Q. Guo, A. Otto, J. Xiao, S. Tao, and L. Li. 2016. “Global Patterns, Trends, and Drivers of Water Use Efficiency from 2000 to 2013.” Ecosphere 6 (10): 1–18.
  • Xue, B. L., L. Wang, K. Yang, L. Tian, J. Qin, Y. Chen, L. Zhao, Y. Ma, T. Koike, and H. Zeyong. 2013. “Modeling the Land Surface Water and Energy Cycles of a Mesoscale Watershed in the Central Tibetan Plateau during Summer with a Distributed Hydrological Model.” Journal of Geophysical Research Atmospheres 118 (16): 8857–8868. doi:10.1002/jgrd.50696.
  • Yang, Y., G. Wang, L. Wang, J. Yu, and Z. Xu. 2014. “Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir.” Plos One 9 (11): e112725. doi:10.1371/journal.pone.0112725.
  • Yang, Y. H., J. Y. Fang, Y. D. Pan, and C. J. Ji. 2009. “Aboveground Biomass in Tibetan Grasslands.” Journal of Arid Environments 73 (1): 91–95. doi:10.1016/j.jaridenv.2008.09.027.
  • Zhang, X., C. Liao, J. Li, and Q. Sun. 2013. “Fractional Vegetation Cover Estimation in Arid and Semi-Arid;Environments Using HJ-1 Satellite Hyperspectral Data.” International Journal of Applied Earth Observation & Geoinformation 21 (1): 506–512. doi:10.1016/j.jag.2012.07.003.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.