[1] |
HEIMANN M, REICHSTEIN M. Terrestrial ecosystem carbon dynamics and climate feedbacks [J]. Nature, 2008, 451(7176): 289 − 292. |
[2] |
徐涵秋. 城市遥感生态指数的创建及其应用[J]. 生态学报, 2013, 33(24): 7853 − 7862.
XU Hanqiu. A remote sensing urban ecological index and its application [J]. Acta Ecol Sin, 2013, 33(24): 7853 − 7862. |
[3] |
许文鑫, 周玉科, 梁娟珠. 基于变化点的青藏高原植被时空动态变化研究[J]. 遥感技术与应用, 2019, 34(3): 667 − 676.
XU Wenxin, ZHOU Yuke, LIANG Juanzhu. A breakpoints based spatio-temporal analysis of Tibetan Plateau vegetation [J]. Remote Sensing Technol Appl, 2019, 34(3): 667 − 676. |
[4] |
CAO Qian, WU Jianguo, YU Deyang, et al. The biophysical effects of the vegetation restoration program on regional climate metrics in the Loess Plateau, China [J]. Agric For Meteorol, 2019, 268: 169 − 180. |
[5] |
HANSEN M C, POTAPOV P V, MOORE R, et al. High-resolution global maps of 21st-century forest cover change [J]. Science, 2013, 342(6160): 850 − 853. |
[6] |
孙雷刚, 刘剑锋, 徐全洪. 河北坝上地区植被覆盖变化遥感时空分析[J]. 国土资源遥感, 2014, 26(1): 167 − 172.
SUN Leigang, LIU Jianfeng, XU Quanhong. Remote Sensing based temporal and spatial analysis of vegetation cover changes in Bashang area of Hebei Province [J]. Remote Sensing Land Resour, 2014, 26(1): 167 − 172. |
[7] |
刘咏梅, 马黎, 黄昌, 等. 基于MODIS-Landsat时空融合的陕北黄土高原植被覆盖变化研究[J]. 西北大学学报(自然科学版), 2019, 49(1): 62 − 70.
LIU Yongmei, MA Li, HUANG Chang, et al. Study on the change of vegetation coverage of Loess Plateau in northern Shaanxi Province based on MODIS-Landsat fusion data [J]. J Northwest Univ Nat Sci Ed, 2019, 49(1): 62 − 70. |
[8] |
QAMER F M, SHEHZAD K, ABBAS S, et al. Mapping deforestation and forest degradation patterns in western Himalaya, Pakistan [J]. Remote Sensing, 2016, 8(385): 1 − 17. |
[9] |
沈文娟, 李明诗, 黄成全. 长时间序列多源遥感数据的森林干扰监测算法研究进展[J]. 遥感学报, 2018, 22(6): 1005 − 1022.
SHEN Wenjuan, LI Mingshi, HUANG Chengquan. Review of remote sensing algorithms for monitoring forest disturbance from time series and multi-source data fusion [J]. J Remote Sensing, 2018, 22(6): 1005 − 1022. |
[10] |
刘宝柱, 方秀琴, 何祺胜, 等. 基于MODIS数据和BFAST方法的植被变化监测[J]. 国土资源遥感, 2016, 28(3): 146 − 153.
LIU Baozhu, FANG Xiuqin, HE Qisheng, et al. Monitoring the changes of vegetation based on MODIS data and BFAST methods [J]. Remote Sensing Land Resour, 2016, 28(3): 146 − 153. |
[11] |
FORKEL M, CARVALHAIS N, VERBESSELT J, et al. Trend change detection in NDVI time series: effects of inter-annual variability and methodology [J]. Remote Sensing, 2013, 5(5): 2113 − 2144. |
[12] |
STOW D, PETERSEN A, HOPE A, et al. Greenness trends of Arctic tundra vegetation in the 1990s: comparison of two NDVI data sets from NOAA AVHRR systems [J]. Int J Remote Sensing, 2007, 28(21): 4807 − 4822. |
[13] |
李斌. 青藏高原植被时空分布规律及其影响因素研究[D]. 北京: 中国地质大学, 2016.
LI Bin. Study of Vegetation’s Spatial and Temporal Distribution and Influencing Factors on the Tibetan Plateau[D]. Beijing: China University of Geosciences, 2016. |
[14] |
海月, 杨广斌, 李若男, 等. 基于时序突变检测的植被空间变化特征识别方法研究——以海河北部山区为例[J]. 生态学报, 2020, 40(24): 1 − 10.
HAI Yue, YANG Guangbin, LI Ruonan, et al. Recognition of vegetation spatial variation based on time-series mutation detection: a case study of the mountainous area of Northern Haihe River Basin [J]. Acta Ecol Sin, 2020, 40(24): 1 − 10. |
[15] |
KENNEDY R E, YANG Zhiqiang, COHEN W B. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr-Temporal segmentation algorithms [J]. Remote Sensing Environ, 2010, 114(12): 2897 − 2910. |
[16] |
VERBESSELT J, HYNDMAN R, NEWNHAM G, et al. Detecting trend and seasonal changes in satellite image time series [J]. Remote Sensing Environ, 2010, 114(1): 106 − 115. |
[17] |
JAMALI S, JONSSON P, EKLUNDH L, et al. Detecting changes in vegetation trends using time series segmentation [J]. Remote Sensing Environ, 2015, 156: 182 − 195. |
[18] |
刘吉彤, 安如. 基于DBEST的2003—2012年济南市植被变化研究[J]. 甘肃科学学报, 2018, 30(4): 17 − 23.
LIU Jitong, AN Ru. Study on vegetation change in Ji’nan during 2003−2012 based on DBEST [J]. J Gansu Sci, 2018, 30(4): 17 − 23. |
[19] |
王恩鲁, 汪小钦, 陈芸芝. 时间序列植被覆盖度断点检测方法研究[J]. 地球信息科学学报, 2017, 19(10): 1355 − 1363.
WANG Enlu, WANG Xiaoqin, CHEN Yunzhi. The breakpoints detection method using time series of vegetation fractional coverage [J]. J Geo-Inf Sci, 2017, 19(10): 1355 − 1363. |
[20] |
SHEN Xiaoji, AN Ru, FENG Li, et al. Vegetation changes in the Three-River Headwaters Region of the Tibetan Plateau of China [J]. Ecol Indic, 2018, 93: 804 − 812. |
[21] |
王颖洁, 刘良云, 王志慧. 基于时序Landsat数据的三江平原植被地表类型变化遥感探测研究[J]. 遥感技术与应用, 2015, 30(5): 959 − 968.
WANG Yingjie, LIU Liangyun, WANG Zhihui. Land covermapping based on Landsat time-series stacks in Sanjiang Plain [J]. Remote Sensing Technol Appl, 2015, 30(5): 959 − 968. |
[22] |
贾铎, 王藏姣, 牟守国, 等. 基于NDVI时间序列轨迹的草原露天矿区植被时空动态特征[J]. 应用生态学报, 2017, 28(6): 1808 − 1816.
JIA Duo, WANG Cangjiao, MU Shouguo, et al. Vegetation spatial and temporal dynamic characteristics based on NDVI time series trajectories in grassland opencast coal mining [J]. Chin J Appl Ecol, 2017, 28(6): 1808 − 1816. |
[23] |
陈昀琳. 基于Landsat和MODIS NDVI时序数据的青海湖流域植被覆盖度提取及其变化分析[D]. 北京: 中国地质大学, 2019.
CHEN Yunlin. Fractional Vegetation Cover in Qinghai Lake Watershed Extraction and Change Analysis based on Time-series NDVI Data of Landsat and MODIS[D]. Beijing: China University of Geosciences, 2019. |
[24] |
李杰, 张军, 刘陈立, 等. 基于MODIS-NDVI的中老缅交界区近16年植被覆盖时空变化特征[J]. 林业科学, 2019, 55(8): 9 − 18.
LI Jie, ZHANG Jun, LIU Chenli, et al. Spatiotemporal variation of vegetation coverage in recent 16 years in the border region of China, Laos, and Myanmar based on MODIS-NDVI [J]. Sci Silv Sin, 2019, 55(8): 9 − 18. |
[25] |
宋怡, 马明国. 基于SPOT VEGETATION数据的中国西北植被覆盖变化分析[J]. 中国沙漠, 2007, 27(1): 89 − 94.
SONG Yi, MA Mingguo. Study on vegetation cover change in Northwest China based on SPOT VEGETATION data [J]. J Desert Res, 2007, 27(1): 89 − 94. |