[1] |
李斌, 王慧敏, 秦明周, 等. 2017. NDVI、NDMI与地表温度关系的对比研究[J]. 地理科学进展, 36(5): 585-596.
|
|
[Li B, Wang H M, Qin M Z, et al.2017. Comparative study on the correlations between NDVI, NDMI and LST[J]. Progress in Geography, 36(5): 585-596.]
|
[2] |
李杭燕, 马明国, 谭俊磊. 2010. 时序NDVI数据集重建综合方法研究[J]. 遥感技术与应用, 25(6): 891-896.
|
|
[Li H Y, Ma M G, Tan J L.2010. Integrated reconstruction methods of time-series NDVI dataset[J]. Remote Sensing Technology and Application, 25(6): 891-896.]
|
[3] |
刘亚南, 肖飞, 杜耘. 2016. 基于秦岭样区的四种时序EVI函数拟合方法对比研究[J]. 生态学报, 36(15): 4672-4679.
|
|
[Liu Y N, Xiao F, Du Y.2016. Analysis of four time series EVI data reconstruction methods[J]. Acta Ecologica Sinica, 36(15): 4672-4679.]
|
[4] |
聂勇, 刘林山, 张镱锂, 等. 2012. 1982-2009 年珠穆朗玛峰自然保护区植被指数变化[J]. 地理科学进展, 31(7): 895-903.
doi: 10.11820/dlkxjz.2012.07.008
|
|
[Nie Y, Liu L S, Zhang Y L, et al.2012. NDVI change analysis in the Mount Qomolangma (Everest) national nature preserve during 1982-2009[J]. Progress in Geography, 31(7): 895-903.]
doi: 10.11820/dlkxjz.2012.07.008
|
[5] |
宋春桥, 柯灵红, 游松财, 等. 2011. 基于TIMESAT的3种时序NDVI拟合方法比较研究: 以藏北草地为例[J]. 遥感技术与应用, 26(2): 147-155.
|
|
[Song C Q, Ke L H, You S C, et al.2011. Comparison of three NDVI time-series fitting methods based on TIMESAT: Taking the grassland in northern Tibet as case[J]. Remote Sensing Technology and Application, 26(2): 147-155.]
|
[6] |
王解先, 连丽珍, 沈云中. 2013. 奇异谱分析在GPS站坐标监测序列分析中的应用[J]. 同济大学学报: 自然科学版, 41(2): 282-288.
doi: 10.3969/j.issn.0253-374x.2013.02.022
|
|
[Wang J X, Lian L Z, Shen Y Z.2013. Application of singular spectral analysis to GPS station coordinate monitoring series[J]. Journal of Tongji University: Natural Science, 41(2): 282-288.]
doi: 10.3969/j.issn.0253-374x.2013.02.022
|
[7] |
于海英, 许建初. 2009. 气候变化对青藏高原植被影响研究综述[J]. 生态学杂志, 28(4): 747-754.
|
|
[Yu H Y, Xu J C.2009. Effects of climate change on vegetations on Qinghai-Tibet Plateau: A review[J]. Chinese Journal of Ecology, 28(4): 747-754.]
|
[8] |
张镱锂, 李炳元, 郑度. 2002. 论青藏高原范围与面积[J]. 地理研究, 21(1): 1-8.
|
|
[Zhang Y L, Li B Y, Zheng D.2002. A discussion on the boundary and area of the Tibetan Plateau in China[J]. Geographical Research, 21(1): 1-8.]
|
[9] |
周惠慧, 王楠, 黄瑶, 等. 2016. 不同时间间隔下的遥感时间序列重构模型比较分析[J]. 地球信息科学学报, 18(10): 1410-1417.
doi: 10.3724/SP.J.1047.2016.01410
|
|
[Zhou H H, Wang N, Huang Y, et al.2016. Comparison and analysis of remotely sensed time series of reconstruction models at various intervals[J]. Journal of Geo-Information Science, 18(10): 1410-1417.]
doi: 10.3724/SP.J.1047.2016.01410
|
[10] |
俎佳星, 杨健. 2016. 东北地区植被物候时序变化[J]. 生态学报, 36(7): 2015-2023.
doi: 10.5846/stxb201409231884
|
|
[Zu J X, Yang J.2016. Temporal variation of vegetation phenology in northeastern China[J]. Acta Ecologica Sinica, 36(7): 2015-2023.]
doi: 10.5846/stxb201409231884
|
[11] |
Beck P S A, Atzberger C, Høgda K A, et al.2006. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI[J]. Remote Sensing of Environment, 100(3): 321-334.
doi: 10.1016/j.rse.2005.10.021
|
[12] |
Chen J, Jönsson P, Tamura M, et al.2004. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter[J]. Remote Sensing of Environment, 91(3-4): 332-344.
doi: 10.1016/j.rse.2004.03.014
|
[13] |
Chen J M, Pavlic G, Brown L, et al.2002. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements[J]. Remote Sensing of Environment, 80(1): 165-184.
doi: 10.1016/S0034-4257(01)00300-5
|
[14] |
Geng L Y, Ma M G, Wang X F, et al.2014. Comparison of eight techniques for reconstructing multi-satellite sensor time-series NDVI data sets in the Heihe River Basin, China[J]. Remote Sensing, 6(3): 2024-2049.
doi: 10.3390/rs6032024
|
[15] |
Gu L H, Post W M, Baldocchi D D, et al.2009. Characterizing the seasonal dynamics of plant community photosynthesis across a range of vegetation types[M]//Noormets A. Phenology of ecosystem processes. New York, NY: Springer: 35-58.
|
[16] |
Jönsson P, Eklundh L.2002. Seasonality extraction by function fitting to time-series of satellite sensor data[J]. IEEE Transactions on Geoscience and Remote Sensing, 40(8): 1824-1832.
|
[17] |
Jönsson P, Eklundh L.2004. TIMESAT: A program for analyzing time-series of satellite sensor data[J]. Computers & Geosciences, 30(8): 833-845.
doi: 10.1016/j.cageo.2004.05.006
|
[18] |
Julien Y, Sobrino J A, Verhoef W.2006. Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999[J]. Remote Sensing of Environment, 103(1): 43-55.
doi: 10.1016/j.rse.2006.03.011
|
[19] |
Musial J P, Verstraete M M, Gobron N.2011. Technical Note: Comparing the effectiveness of recent algorithms to fill and smooth incomplete and noisy time series[J]. Atmospheric Chemistry and Physics, 11(15): 7905-7923.
doi: 10.5194/acp-11-7905-2011
|
[20] |
Reed B C, Schwartz M D, Xiao X M.2009. Remote sensing phenology[M]//Noormets A. Phenology of ecosystem processes. New York, NY: Springer: 365-381.
|
[21] |
Sakamoto T, Yokozawa M, Toritani H, et al.2005. A crop phenology detection method using time-series MODIS data[J]. Remote Sensing of Environment, 96(3-4): 366-374.
doi: 10.1016/j.rse.2005.03.008
|
[22] |
Vautard R, Yiou P, Ghil M.1992. Singular-spectrum analysis: A toolkit for short, noisy chaotic signals[J]. Physica D: Nonlinear Phenomena, 58(1-4): 95-126.
doi: 10.1016/0167-2789(92)90103-T
|
[23] |
Yu F F, Price K P, Ellis J, et al.2004. Satellite observations of the seasonal vegetation growth in Central Asia: 1982-1990[J]. Photogrammetric Engineering & Remote Sensing, 70(4): 461-469.
doi: 10.14358/PERS.70.4.461
|