Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest
作者： Jinyan Tian , Le Wang , Xiaojuan Li , Huili Gong , Chen Shi
DOI: 10.1016/J.JAG.2017.05.002
关键词:
摘要: Abstract Unmanned Aerial Vehicle (UAV) remote sensing has opened the door to new sources of data effectively characterize vegetation metrics at very high spatial resolution and flexible revisit frequencies. Successful estimation leaf area index (LAI) in precision agriculture with a UAV image been reported several studies. However, most forests, challenges associated interference from complex background variety species have hindered research using images. To best our knowledge, few studies mapped forest LAI image. In addition, drawbacks advantages estimating satellite images remain knowledge gap existing literature. Therefore, this paper aims map mangrove compare it WorldView-2 (WV2). study, three representative NDVIs, average NDVI (AvNDVI), vegetated specific (VsNDVI), scaled (ScNDVI), were acquired WV2 predict plot level (10 × 10 m) LAI. The results showed that AvNDVI achieved highest accuracy for (R2 = 0.778, RMSE = 0.424), whereas ScNDVI obtained optimal (R2 = 0.817, RMSE = 0.423). an overall comparison derived LAIs indicated better than plots covered homogeneous or low plots, which was because can eliminate influence owing its resolution. slightly higher species, sensor provides negative spectral response function(SRF) terms estimation.
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Stith T. Gower, Jing M. Chen, John M. Norman, M. Rich, Leaf area index measurements ,(1997)
Mingquan Wu, Chaoyang Wu, Wenjiang Huang, Zheng Niu, Changyao Wang, High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model Computers and Electronics in Agriculture. ,vol. 115, pp. 1- 11 ,(2015) , 10.1016/J.COMPAG.2015.05.003
Luca Pasolli, Sarah Asam, Mariapina Castelli, Lorenzo Bruzzone, Georg Wohlfahrt, Marc Zebisch, Claudia Notarnicola, None, Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery Remote Sensing of Environment. ,vol. 165, pp. 159- 174 ,(2015) , 10.1016/J.RSE.2015.04.027
Zhili Liu, Chuankuan Wang, Jing M. Chen, Xingchang Wang, Guangze Jin, Empirical models for tracing seasonal changes in leaf area index in deciduous broadleaf forests by digital hemispherical photography Forest Ecology and Management. ,vol. 351, pp. 67- 77 ,(2015) , 10.1016/J.FORECO.2015.05.005
RH Haas, DW Deering, JA Schell, JW Rouse Jr, Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation ,(1973)
Craig Macfarlane, Gary N. Ogden, Automated estimation of foliage cover in forest understorey from digital nadir images Methods in Ecology and Evolution. ,vol. 3, pp. 405- 415 ,(2012) , 10.1111/J.2041-210X.2011.00151.X
Ken Whitehead, Chris H. Hugenholtz, Stephen Myshak, Owen Brown, Adam LeClair, Aaron Tamminga, Thomas E. Barchyn, Brian Moorman, Brett Eaton, Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications1 Journal of Unmanned Vehicle Systems. ,vol. 2, pp. 86- 102 ,(2014) , 10.1139/JUVS-2014-0007
Wanjuan Song, Xihan Mu, Guangjian Yan, Shuai Huang, Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC) Remote Sensing. ,vol. 7, pp. 10425- 10443 ,(2015) , 10.3390/RS70810425
Clement Atzberger, Roshanak Darvishzadeh, Markus Immitzer, Martin Schlerf, Andrew Skidmore, Guerric le Maire, Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy International Journal of Applied Earth Observation and Geoinformation. ,vol. 43, pp. 19- 31 ,(2015) , 10.1016/J.JAG.2015.01.009
Toby N. Carlson, David A. Ripley, On the relation between NDVI, fractional vegetation cover, and leaf area index Remote Sensing of Environment. ,vol. 62, pp. 241- 252 ,(1997) , 10.1016/S0034-4257(97)00104-1