[1]XU Hong,LIU Qin.Analysis of Vegetation NDVI Dynamic and Its Relationship with Climatic Factors in Yunnan Province During 2001—2019[J].Research of Soil and Water Conservation,2022,29(01):162-168.
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Analysis of Vegetation NDVI Dynamic and Its Relationship with Climatic Factors in Yunnan Province During 2001—2019

References:
[1] 谢慧君,张廷斌,易桂花,等.川西高原植被NDVI动态变化特征及对气候因子的响应[J].水土保持通报,2020,40(4):286-294.
[2] 马梓策,于红博,曹聪明,等.中国植被覆盖度时空特征及其影响因素分析[J].长江流域资源与环境,2020,29(6):1310-1321.
[3] Purevdorj T, Tateishi R, Ishiyama T, et al. Relationships between percent vegetation cover and vegetation indices[J]. International Journal of Remote Sensing, 1998,19(18):3519-3535.
[4] Choudhury B J, Ahmed N U, Idso S B, et al. Relations between evaporation coefficients and vegetation indices studied by model simulations[J]. Remote Sensing of Environment, 1994,50(1):1-17.
[5] 熊俊楠,彭超,程维明,等.基于MODIS-NDVI的云南省植被覆盖度变化分析[J].地球信息科学学报,2018,20(12):1830-1840.
[6] 孙应龙,钱拴,延昊,等.2000—2018年云南省典型矿区植被生态时空变化特征:以临沧市为例[J].生态环境学报,2019,28(12):2381-2389.
[7] 邱成,胡金明,杨飞龄.基于NDVI的云南省自然保护区保护成效分析[J].生态学报,2020,40(20):7312-7322.
[8] 刘珊珊,王建雄,牛超杰,等.基于NDVI的云南省植被覆被变化趋势分析[J].湖北农业科学,2017,56(11):2037-2040.
[9] 李同艳,何云玲,熊巧利.云南中部地区植被覆盖时空变化特征及其影响因素研究[J].生态科学,2019,38(3):45-54.
[10] 谷雷,岳彩荣,赵勋,等.基于Google Earth Engine的云南省1999—2018年植被覆盖度变化分析[J].西部林业科学,2020,49(5):74-80.
[11] 曹云,钱永兰,孙应龙,等.基于MODIS NDVI的西南森林植被时空变化特征及其气候响应分析[J].生态环境学报,2020,29(5):857-865.
[12] 丁文荣.滇中地区植被NDVI时空演变特征及其驱动因素[J].水土保持通报,2016,36(6):252-257.
[13] 李同艳,何云玲,熊巧利.云南中部地区植被覆盖时空变化特征及其影响因素研究[J].生态科学,2019,38(3):45-54.
[14] 张景华,封志明,姜鲁光,等.澜沧江流域植被NDVI与气候因子的相关性分析[J].自然资源学报,2015,30(9):1425-1435.
[15] 赵桔超,朱彦辉,段国辉,等.基于MOD13Q1数据分析2001—2015年西双版纳植被变化特征[J].生态学杂志,2019,38(4):1083-1092.
[16] 何云玲,熊巧利,余岚,等.基于NDVI云南地区植被生态系统对气候变化的适应性分析[J].生态科学,2019,38(6):165-172.
[17] 陈宗瑜.云南气候总论[M].北京:气象出版社,2001.
[18] 吴征镒,朱彦丞.云南植被[M].北京:科学出版社,1987.
[19] Bian J, Li A, Song M, et al. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter[J]. Journal of Remote Sensing, 2010,14(4):725-741.
[20] 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]. International Journal of Remote Sensing, 2007,28(21):4807-4822.
[21] John R, Chen J, Lu N, et al. Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia[J]. Remote Sensing of Environment, 2008,112(5):2018-2032.
[22] 刘世梁,田韫钰,尹艺洁,等.云南省植被NDVI时间变化特征及其对干旱的响应[J].生态学报,2016,36(15):4699-4707.
[23] 何云玲,李同艳,熊巧利,等.2000—2016年云南地区植被覆盖时空变化及其对水热因子的响应[J].生态学报,2018,38(24):8813-8821.
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