Adam E, Mutanga O. 2009. Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry. ISPRS Journal of Photogrammetry and Remote Sensing, 64(6): 612–620.
An R, Jiang D P, Li X X, et al. 2014. Using hyperspectral data to determine spectral characteristics of grassland vegetation in central and eastern parts of Three-river Source. Remote Sensing Technology and Application, 29(2): 202–211. (in Chinese)
Cao W, Shao Q Q, Yu X Y, et al. 2013. Analysis of spectral characteristics of Inner Mongolia’s temperature steppe in different use patterns. Acta Agrestia Sinica, 21(2): 243–252. (in Chinese)
Fang M H, Ju W M, Zhan W F, et al. 2017. A new spectral similarity water index for the estimation of leaf water content from hyperspectral data of leaves. Remote Sensing of Environment, 196: 13–27.
Gai Y Y, Fan W J, Xu X R, et al. 2011. Flower species identification and coverage estimation based on hyperspectral remote sensing data in Hulunbeir grasslasnd. Spectroscopy and Spectral Analysis, 31(10): 2778–2783. (in Chinese)
Gates D M, Keegan H J, Schleter J C, et al. 1965. Spectral properties of plants. Applied Optics, 4(4): 11–20.
He L, An S Z, Jin G L, et al. 2014. Analysis on high spectral characteristics of degraded Seriphidium transiliense desert grassland. Acta Agrestia Sinica, 22(2): 271–276. (in Chinese)
Jin G L, He L, An S Z, et al. 2014. Spectral features of eight desert range plants on degradation Seriphidium transiliense desert grassland. Pratacultural Science, 31(10): 1848–1858. (in Chinese)
Jin J, Wang Q. 2016. Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant. Ecological Informatics, 35: 1–8.
Li X S. 2008. Quantitative retrieval of sparse vegetation cover in arid regions using hyperspectral data. PhD Dissertation. Beijing: Chinese Academy of Forestry. (in Chinese)
Liu N F, Budkewitsch P, Treitz P. 2017. Examining spectral reflectance features related to Arctic percent vegetation cover: Implications for hyperspectral remote sensing of Arctic tundra. Remote Sensing of Environment, 192: 58–72.
Mansour K, Mutanga O, Everson T, et al. 2012. Discriminating indicator grass species for rangeland degradation assessment using hyperspectral data resampled to AISA Eagle resolution. ISPRS Journal of Photogrammetry and Remote Sensing, 70: 56–65.
Mansour K, Mutanga O, Everson T. 2013. Spectral discrimination of increaser species as an indicator of rangeland degradation using field spectrometry. Journal of Spatial Science, 58(1): 101–117.
Meyer H, Lehnert L W, Wang Y, et al. 2017. From local spectral measurements to maps of vegetation cover and biomass on the Qinghai-Tibet-Plateau: Do we need hyperspectral information? International Journal of Applied Earth Observation & Geoinformation, 55: 21–31.
Mirzaie M, Darvishzadeh R, Shakiba A, et al. 2014. Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements. International Journal of Applied Earth Observation and Geoinformation, 26: 1–11.
Qian Y R, Yu J, Jia Z H, et al. 2013. Extraction and analysis of hyper spectral data from typical desert grassland in Xinjiang. Acta Prataculturae Sinica, 22(1): 157–166. (in Chinese)
Schmidt K S, Skidmore A K. 2003. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment, 85(1): 92–108.
Wei X H, Jin G L, Fan Y M, et al. 2016. Species analysis and identification of spectral characteristics on Seriphidium transiliense desert grassland. Pratacultural Sciende, 33(10): 1924–1932. (in Chinese)
Xia X W, Jin G L, An S Z, et al. 2015. Spectral characteristics of typical plants in Seriphidium transiliense desert grassland under enclosure. Pratacultural Science, 32(6): 870–876. (in Chinese)
Yang K, Shen W S, Bo L. 2014. Research on spectral reflectance characteristics for Naqu typical grassland. Remote Sensing Technology and Application, 29(1): 40–45. (in Chinese)
Yang X M, Liu S Z, Yang T B, et al. 2016. Spatial-temporal dynamics of desert vegetation and its responses to climatic variations over the last three decades: a case study of Hexi region in Northwest China. Journal of Arid Land, 8(4): 556–568.
Zarco-Tejada P J, Hornero A, Hernández-Clemente R, et al. 2018. Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 137: 134–148.
Zhao J, Chen X, Guli J, et al. 2009. Spectral discrimination of desert vegetation in the Tarim River basin. Journal of Desert Research, 29(2): 270–278. (in Chinese)
Zhao Z, Li X, Yin Y B, et al. 2010. Analysis of spectral features based on water content of desert vegetation. Spectroscopy and Spectral Analysis, 30(9): 2500–2503. (in Chinese)
Zhao Z. 2011. Analysis of spectral features based on water content of Xinjiang desert plants. MSc Thesis. Xinjiang: Xinjiang Agricultural University. (in Chinese)
Zhang C M, Zhang J M. 2012. Research on the spectral characteristics of grassland in arid regions based on hyperspectral image. Spectroscopy and Spectral Analysis, 32(2): 445–448.
Zhang F, Tashpolat T, Ding J L, et al. 2012. Spectral reflectance characteristics of typical halophytes in the oasis salinization desert zone of middle reaches of Tarim River, China. Chinese Journal of Plant Ecology, 36(7): 607–617. (in Chinese)
Zhang K, Guo N, Wang R Y, et al. 2006. Research on spectral reflectance characteristics for desert meadow of Northwest China. Advances in Earth Science, 21(10): 1063–1069. (in Chinese)
Zhou L P, Wei H D, Ding F, et al. 2013. Analysis on spectral reflectance characteristics of desert plants in Minqin basin of Shiyang River. Journal of Arid Land Resources and Environment, 27(3): 121–125. (in Chinese)