[1] 罗彪, 刘潇, 郭萍. 基于MODIS数据的河套灌区遥感干旱监测. 中国农业大学学报, 2020, 25(10): 44-54 [Luo B, Liu X, Guo P. Remote sensing drought monitoring of Hetao irrigation area based on MODIS data. Journal of China Agricultural University, 2020, 25(10): 44-54] [2] 王宗敏, 杨海波, 计淇才, 等. 基于MODIS的河南省遥感干旱监测研究. 水土保持通报, 2012, 32(1): 139-143 [Wang Z-M, Yang H-B, Ji Q-C, et al. Remote sensing monitoring for drought in Henan Province based on MODIS. Bulletin of Soil and Water Conservation, 2012, 32(1): 139-143] [3] 陈志恺. 21世纪中国水资源持续开发利用问题. 中国工程科学, 2000, 2(3): 7-11 [Chen Z-K. Sustainable development and utilization of China's water resources in the 21st century. Strategic Study of Chinese Academy of Engineering, 2000, 2(3): 7-11] [4] 刘英, 马保东, 吴立新, 等. 基于NDVI-ST双抛物线特征空间的冬小麦旱情遥感监测. 农业机械学报, 2012, 43(5): 55-63 [Liu Y, Ma B-D, Wu L-X, et al. Drought remote sensing of winter wheat based on double parabola NDVI-ST space. Transactions of the Chinese Society for Agricultural Machinery, 2012, 43(5): 55-63] [5] 陈斌, 张学霞, 华开, 等. 温度植被干旱指数(TVDI)在草原干旱监测中的应用研究. 干旱区地理, 2013, 36(5): 930-937 [Chen B, Zhang X-X, Hua K, et al. Application study of temperature vegetation drought index (TVDI) in grassland drought monitoring. Arid Land Geography, 2013, 36(5): 930-937] [6] 程伟, 辛晓平. 基于TVDI的内蒙古草地干旱变化特征分析. 中国农业科学, 2020, 53(13): 2728-2742 [Cheng W, Xin X-P. Analysis of spatial-temporal cha-racteristics of drought variation in grassland area of Inner Mongolia based on TVDI. Scientia Agricultura Sinica, 2020, 53(13): 2728-2742] [7] 王正东, 郭鹏, 万红, 等. 基于MODIS数据的山东省2014—2016年干旱监测分析. 水土保持研究, 2019, 26(2): 330-336 [Wang Z-D, Guo P, Wan H, et al. Analysis of drought monitoring in Shandong Province from 2014 to 2016 based on MODIS data. Research of Soil and Water Conservation, 2019, 26(2): 330-336] [8] 王杰, 马佳丽, 解斐斐, 等. 干旱地区遥感生态指数的改进——以乌兰布和沙漠为例. 应用生态学报, 2020, 31(11): 3795-3804 [Wang J, Ma J-L, Xie F-F, et al. Improvement of remote sensing ecological index in arid regions: Taking Ulan Buh Desert as an example. Chinese Journal of Applied Ecology, 2020, 31(11): 3795-3804] [9] 王一昊, 武永峰, 张立亭, 等. 基于TVDI的东北地区春玉米干旱监测——以2018年为例. 河南农业科学, 2020, 49(3): 167-180 [Wang Y-H, Wu Y-F, Zhang L-T, et al. Drought monitoring of spring maize in northeast China based on TVDI: Taking the 2018 for instance. Journal of Henan Agricultural Sciences, 2020, 49(3): 167-180] [10] 李志鹏, 曹晓明, 丁杰, 等. MODIS卫星影像显示的2001—2017年中国荒漠化年度状况. 中国沙漠, 2019, 39(6): 135-140 [Li Z-P, Cao X-M, Ding J, et al. Annual desertification during 2001-2017 in China based on MODIS satellite images. Journal of Desert Research, 2019, 39(6): 135-140] [11] 刘馨, 宋小宁, 冷佩, 等. 基于MODIS数据的黄河源区土壤干湿状况时空格局变化. 中国科学院大学学报, 2019, 36(2): 178-187 [Liu X, Song X-N, Leng P, et al. Spatiotemporal variation of drought conditions based on MODIS data over the source area of Yellow River. Journal of University of Chinese Academy of Sciences, 2019, 36(2): 178-187] [12] 李晨昊, 萨楚拉, 刘桂香, 等. 2000—2017年蒙古高原积雪时空变化及其对气候响应研究. 中国草地学报, 2020, 42(2): 95-104 [Li C-H, Sa C-L, Liu G-X, et al. Spatiotemporal changes of snow cover and its response to climate changes in the Mongolian Plateau from 2000 to 2017. Chinese Journal of Grassland, 2020, 42(2): 95-104] [13] Natsagdorj L, Jugder D, Chung YS. Analysis of dust storms observed in Mongolia during 1937-1999. Atmospheric Environment, 2003, 37: 1401-1411 [14] Hu Z, Zhang C, Hu Q, et al. Temperature changes in Central Asia from 1979 to 2011 based on multiple datasets. Journal of Climate, 2014, 27: 1143-1167 [15] Abatzoglou JT, Dobrowski SZ, Parks SA, et al. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific Data, 2018, 5: 170191 [16] Guo EL, Wang YF, Wang CL, et al. NDVI indicates long-term dynamics of vegetation and its driving forces from climatic and anthropogenic factors in Mongolian Plateau. Remote Sensing, 2021, 13: 688 [17] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 2002, 79: 213-224 [18] 王纯枝, 毛留喜, 何延波, 等. 温度植被干旱指数法(TVDI)在黄淮海平原土壤湿度反演中的应用研究. 土壤通报, 2009, 40(5): 998-1005 [Wang C-Z, Mao L-X, He Y-B, et al. Application of temperature-vegetation dryness index (TVDI) in estimation of soil moisture in the HHH Plain. Chinese Journal of Soil Science, 2009, 40(5): 998-1005] [19] 乌兰吐雅, 于利峰, 乌兰, 等. 基于Landsat8 TVDI的河套灌区旱情分析——以临河区为例. 中国农业资源与区划, 2017, 38(5): 123-127 [Wu L-T-Y, Yu L-F, Wu L, et al. Drought analysis of Hetao irrigation district based on Landsat 8 TVDI: Taking Linhe district as an example. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(5): 123-127] [20] 侯青青, 裴婷婷, 陈英, 等. 1986—2019年黄土高原干旱变化特征及趋势. 应用生态学报, 2021, 32(2): 649-660 [Hou Q-Q, Pei T-T, Chen Y, et al. Variations of drought and its trend in the Loess Plateau from 1986 to 2019. Chinese Journal of Applied Ecology, 2021, 32(2): 649-660] [21] 齐述华, 王长耀, 牛铮. 利用温度植被旱情指数(TVDI)进行全国旱情监测研究. 遥感学报, 2003, 7(5): 420-427 [Qi S-H, Wang C-Y, Niu Z. Evaluating soil moisture status in China using the temperature vegetation dryness index (TVDI). Journal of Remote Sen-sing, 2003, 7(5): 420-427] [22] 谢平, 陈广才, 雷红富. 基于Hurst系数的水文变异分析方法. 应用基础与工程科学学报, 2009, 17(1): 32-39 [Xie P, Chen G-C, Lei H-F. Hydrological alte-ration analysis method based on Hurst eoefficient. Journal of Basic Science and Engineering, 2009, 17(1): 32-39] [23] 江田汉, 邓莲堂. Hurst指数估计中存在的若干问题——以在气候变化研究中的应用为例. 地理科学, 2004, 24(2): 177-182 [Jiang T-H, Deng L-T. Some problems in estimating a Hurst exponent: A case study of applicatings to climatic change. Scientia Geographica Sinica, 2004, 24(2): 177-182] [24] 温国涛, 白建军, 孙嵩松. 基于时间序列遥感数据的陕西省2004—2014年干旱变化特征分析. 干旱地区农业研究, 2018, 36(1): 221-229 [Wen G-T, Bai J-J, Sun S-S. Variation of drought in Shaanxi from 2004 to 2014 based on remotely sensed data. Agricultural Research in the Arid Areas, 2018, 36(1): 221-229] [25] 郑发美, 白建军. 基于地形因子的TVDI修正——以陕西省为例. 干旱区研究, 2018, 35(5): 1223-1233 [Zheng F-M, Bai J-J. TVDI modification based on topographic factors: A case study in Shaanxi Province. Arid Zone Research, 2018, 35(5): 1223-1233] [26] 孙国军, 李卫红, 朱成刚, 等. 2000—2015年伊犁河谷植被覆盖时空变化特征. 干旱区地理, 2020, 43(6): 1551-1558 [Sun G-J, Li W-H, Zhu C-G, et al. Spatial-temporal characteristics of vegetation cover in Ili River Valley from 2000 to 2015. Arid Land Geography, 2020, 43(6): 1551-1558] [27] Hessl AE, Anchukaitis KJ, Jelsema C, et al. Past and future drought in Mongolia. Science Advances, 2018, 4: e1701832 [28] Zhang P, Jeong JH, Yoon JH, et al. Abrupt shift to hotter and drier climate over inner East Asia beyond the tipping point. Science, 2020, 370: 1095-1099 [29] 司福艳, 乔匀周, 姜净卫, 等. 干旱高温及高浓度CO2复合胁迫对冬小麦生长的影响. 应用生态学报, 2014, 25(9): 2605-2612 [Si F-Y, Qiao Y-Z, Jiang J-W, et al. Effects of drought stress, high temperature and elevated CO2 concentration on the growth of winter wheat. Chinese Journal of Applied Ecology, 2014, 25(9): 2605-2612] [30] 刘英, 岳辉, 侯恩科. MODIS数据在陕西省干旱监测中的应用. 国土资源遥感, 2019, 31(2): 172-179 [Liu Y, Yue H, Hou E-K. Drought monitoring based on MODIS in Shaanxi. Remote Sensing for Land & Resources, 2019, 31(2): 172-179] [31] 王婷婷, 张洪岩, 郭笑怡, 等. 基于温度植被干旱指数的松辽平原干旱时空特征. 干旱区研究, 2014, 31(3): 383-389 [Wang T-T, Zhang H-Y, Guo X-Y, et al. Spatiotemporal change of drought over the Songliao Plain based on TVDI. Arid Zone Research, 2014, 31(3): 383-389] [32] 黄静, 张运, 汪明秀, 等. 近17年新疆干旱时空分布特征及影响因素. 生态学报, 2020, 40(3): 1077-1088 [Huang J, Zhang Y, Wang M-X, et al. Spatial and temporal distribution characteristics of drought and its relationship with meteorological factors in Xinjiang in last 17 years. Acta Ecologica Sinica, 2020, 40(3): 1077-1088] |