基于MODIS数据的新疆地区土壤湿度反演

doi:10.11686/cyxb2016331

摘要/Abstract

摘要： 以新疆地区为研究对象,选取2016年5和6月的植被指数产品数据和地表温度产品数据,构建新疆地区NDVI-Ts和EVI-Ts特征空间,分析新疆地区土壤干湿状况的空间分布格局及土壤水分的影响因素。结合野外同步重复采样获得的土壤含水量对TVDI进行验证,并分析EVI和Ts所包含的旱情信息。结果表明:(1)构建NDVI-Ts和EVI-Ts特征空间,其散点图符合三角形的关系。(2)新疆地区5和6月土壤湿度总体以干旱(0.6<TVDI<0.8)为主。空间上,新疆北部的阿尔泰山、中部的天山、南部的昆仑山为极湿润和湿润,而新疆北部的准噶尔盆地、南部的塔里木盆地为干旱和极干旱。(3)5月份林地的TVDI值最低,6月份高度覆盖草地的TVDI值最低;随高程的增加土壤湿度变大。(4)和基于NDVI的TVDI相比,基于EVI的TVDI更适合于监测5月与6月的农业旱情状况。(5)相对于植被指数,陆地表面温度更能反映旱情。

Abstract: MOD13A2, MOD11A2 and field measurements were utilized to study soil moisture variation in Xinjiang during May and June. Relationships between NDVI (Normalized Difference Vegetation Index) and Ts (Land Surface Temperature), and EVI (Enhanced Vegetation Index) and Ts were investigated. The spatial pattern of the temperature vegetation dryness index (TVDI) and influencing factors were analyzed. Results: (1) NDVI-Ts and EVI-Ts follow the classic triangle relationship. (2) Soil moisture in Xinjiang was mainly dominated by drought conditions (0.6<TVDI<0.8); Spatially, Alta, the middle slope area of the Tianshan Mountains, and the south slopes of the Kunlun Mountains are characterized by extremely wet conditions, while the north Junggar basin and southern Tarim Basin are dry. (3) The TVDI of forested land was lowest in May while the TVDI of grassland was lowest in June; soil moisture generally increased with elevation. (4) For regions with high vegetation coverage, EVI based TVDI is more suitable than NDVI based TVDI for drought monitoring. (5) The land surface temperature was better able to reflect drought conditions compared to vegetation index.

李海霞, 杨井, 陈亚宁, 郝兴明. 基于MODIS数据的新疆地区土壤湿度反演[J]. 草业学报, 2017, 26(6): 16-27.

LI Hai-Xia, YANG Jing, CHEN Ya-Ning, HAO Xing-Ming. Retrieval of soil moisture information in Xinjiang using MODIS[J]. Acta Prataculturae Sinica, 2017, 26(6): 16-27.

参考文献

[1] Cheng Y, Chen L F, Liu Q H, et al . The soil moisture detection for different vegetation coverage based on the MODIS data. Journal of Remote Sensing, 2006, 10(5): 783-788.
程宇, 陈良富, 刘钦火, 等. 基于MODIS数据对不同植被覆盖下土壤水分监测的可行性研究. 遥感学报, 2006, 10(5): 783-788.
[2] Tian Y F. Inversion of Soil Moisture Based on the MODIS and Its Application in Watershed Hydrological Model[D]. Hangzhou: Zhejiang University, 2013.
田延峰. 基于MODIS的土壤水分反演及在流域产流模型中的应用[D]. 杭州: 浙江大学, 2013.
[3] Tian Y F, Teng H F, Guo Y, et al . Inversion and validation of surface soil based on the temperature vegetation dryness index (TVDI)-Soil science papers for the future[C]. Chengdu: University of Electronic Science and Technology of China Press, 2011: 67-73.
田延峰, 滕洪芬, 郭燕, 等. 基于MODIS温度植被干旱指数(TVDI)的表层土壤含水量反演与验证-面向未来的土壤科学论文集[C]. 成都: 电子科技大学出版社, 2011: 67-73.
[4] Ran Q. Retrieval of Soil Moisture Status in China and Analysis of Its Spatial and Temporal Distribution Characteristics[D]. Beijing: Chinese Academy of Sciences (Institute of Remote Sensing Applications), 2005.
冉琼. 全国土壤湿度及其变化的遥感反演与分析[D]. 北京: 中国科学院研究生院(遥感应用研究所), 2005.
[5] Xiao J D, Zhou G, Shi Q D, et al . Soil moisture of Yili and Bozhou retrieved by temperature vegetation dryness index. Desert and Oasis Meteology, 2009, 3(3): 11-16.
肖继东, 卓嘎, 师庆东, 等. 利用温度植被干旱指数反演伊犁博州地区土壤湿度. 沙漠与绿洲气象, 2009, 3(3): 11-16.
[6] Yao K. Soil Moisture Was Retrieved by MODIS data in Yili Bozhou[D]. Urumqi: Xinjiang University, 2009.
姚坤. 基于MODIS的伊犁博州土壤湿度的反演[D]. 乌鲁木齐: 新疆大学, 2009.
[7] Deng H, Zhou Q B. The progress in remote sensing method for monitoring soil moisture. Journal of China Agricultural Resources and Regional Planning, 2004, 25(3): 46-49.
邓辉, 周清波. 土壤水分遥感监测方法进展. 中国农业资源与区划, 2004, 25(3): 46-49.
[8] Fu X, Song C Q, Zhong X K. On spatial and temporal variation of land surface moisture in Northern Tibetan. Advances in Water Science, 2012, 23(4): 464-474.
傅新, 宋春桥, 钟新科, 等. 藏北高原土壤湿度时空变化分析. 水科学进展, 2012, 23(4): 464-474.
[9] Liu C M, Sun R. Ecological aspects of water cycle advances in soil-vegetation-atmosphere of energy and water fuxes. Advances in Water Science, 1999, 10(3): 251-259.
刘昌明, 孙睿. 水循环的生态学方面-土壤-植被-大气系统水分能量平衡研究进展. 水科学进展, 1999, 10(3): 251-259.
[10] Song C Q, You S C, Liu G H, et al . The spatial of soil moisture in Northern Tibet based on TVDI method. Progress in Geography, 2011, 30(5): 569-576.
宋春桥, 游松财, 刘高焕, 等. 基于TVDI的藏北地区土壤湿度空间格局. 地理科学进展, 2011, 30(5): 569-576.
[11] Yang L, Yang Y Z. The spatial and temporal pattern of soil moisture in the the west Liaohe river basin based on TVDI method and its influencing factors. Journal of Arid Land Resources and Environment, 2016, 30(2): 76-81.
杨玲, 杨艳昭. 基于TVDI的西辽河流域土壤湿度时空格局及其影响因素. 干旱区资源与环境, 2016, 30(2): 76-81.
[12] Song C Q, You C S, Ke L H, et al . The study of MODIS remote sensing for monitoring soil moisture over Northern Tibetan Plateau. Chinese Journal of Soil Science, 2012, 43(2): 294-300.
宋春桥, 游松财, 柯灵红, 等. 藏北高原土壤湿度MODIS遥感监测研究. 土壤通报, 2012, 43(2): 294-300.
[13] Li Z W, Cai Q G, Zeng G M, et al . Soil moisture model for loess hilly region based on GIS. Journal of Hydraulic Engineering, 2004, (3): 123-128.
李忠武, 蔡强国, 曾光明, 等. 基于GIS的黄土丘陵沟壑区土壤水分模型研究. 水利学报, 2004, (3): 123-128.
[14] Wu L, Zhang Y Z, Jie W H, et al . The inversion of soil water content by the improved apparent thermal inertia. Remote Sensing for Land &Resources, 2013, 25(1): 44-49.
吴黎, 张有智, 解文欢, 等. 改进的表观热惯量法反演土壤含水量. 国土资源遥感, 2013, 25 (1): 44-49.
[15] Yu T, Tian G L. The Application of thermal inertia method the monitoring of soil moisture North China plain based on NOVAA-AVHRR data. Journal of Remote Sensing, 1997, 1(1): 24-31.
余涛, 田国良. 热惯量法在监测土壤表层水分变化中的研究. 遥感学报, 1997, 1(1): 24-31.
[16] Wang Y J, Wang S D, Zeng H J, et al . Drought characteristic in the Weihe river basin based on water shortage index of crops. Arid Zone Research, 2014, 31(1): 118-124.
王玉娟, 王树东, 曾红娟, 等. 基于作物缺水指数法的渭河流域干旱特征. 干旱区研究, 2014, 31(1): 118-124.
[17] Gao Z H, Li Z Y, Wei H D, et al . Study on the suitability of vegetation indices (VI) in arid area. Journal of Desert Research, 2006, 26(2): 243-248.
高志海, 李增元, 魏怀东, 等. 干旱地区植被指数(VI)的适宜性研究. 中国沙漠, 2006, 26(2): 243-248.
[18] Liu L W, Xing L X, Pan J, et al . Remote sensing Simulation of soil moisture content in Dongliao He Basin. Hunan Agricultural Sciences, 2012, (21): 128-131.
刘立文, 邢立新, 潘军, 等. 东辽河流域土壤含水量遥感模拟. 湖南农业科学, 2012, (21): 128-131.
[19] Wang P X, Gong J Y, Li X W, et al . Advances in drought monitoring by using remotely sensed normalized difference vegetation index and land surface temperature products. Advance in Earth Sciences, 2003, 18(4): 527-533.
王鹏新, 龚健雅, 李小文, 等. 基于植被指数和土地表面温度的干旱监测模型. 地球科学进展, 2003, 18(4): 527-533.
[20] Wang C Y, Luo C F, Qi S H, et al . A method of land cover classification for china based on NDVI-Ts space. Journal of Remote Sensing, 2005, 9(1): 93-99.
王长耀, 骆成凤, 齐述华, 等. NDVI-Ts空间全国土地覆盖分类方法研究. 遥感学报, 2005, 9(1): 93-99.
[21] Yang X, Wu J J, Yan F, et al . Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space. Acta Ecologica Sinica, 2009, 29(3): 1208-1216.
杨曦, 武建军, 闫峰, 等. 基于地表温度-植被指数特征空间的区域土壤干湿状况. 生态学报, 2009, 29(3): 1208-1216.
[22] Yao C S. Retrieval of Soil Moisture Using MODIS Data[D]. Beijing: Chinese Academy of Sciences (Institute of Remote Sensing Applications), 2003.
姚春生. 使用MODIS数据反演土壤水分研究[D]. 北京: 中国科学院研究生院 (遥感应用研究所), 2003.
[23] Yao C S, Zhang Z X, Wang X, et al . Evaluating soil moisture status in xinjiang using the temperature vegetation dryness index (TVDI). Remote Sensing Technology and Application, 2004, 19(6): 473-478.
姚春生, 张增祥, 汪潇, 等. 使用温度植被干旱指数法(TVDI)反演新疆土壤湿度. 遥感技术与应用, 2004, 19(6): 473-478.
[24] Yu P, Shen R P. Remote sensing retrieval of deep soil moisture based on vegetation cover degree and surface temperature. Shanxi Meteorology, 2010, (3): 10-14.
余鹏, 沈闰平. 基于植被覆盖度-地表温度的深层土壤湿度遥感反演. 陕西气象, 2010, (3): 10-14.
[25] Zhang Z, Ding J L, Li X, et al . Suitability of TVDI used to monitor agricultural in arid area. Journal of Desert Research, 2015, 35(1): 220-227.
张喆, 丁建丽, 李鑫, 等. TVDI用于干旱区农业旱情监测的适宜性. 中国沙漠, 2015, 35(1): 220-227.
[26] Zhang Z, Ding J L, Yan X Y, et al . Remote sensing monitoring of drought in Turkmenistan oasis based on temperature/vegetation drought index. Chinese Journal of Ecology, 2013, 32(8): 2172-2178.
张喆, 丁建丽, 鄢雪英, 等. 基于温度植被干旱指数的土库曼斯坦典型绿洲干旱遥感监测. 生态学杂志, 2013, 32(8): 2172-2178.
[27] Zheng X M. Research on Soil Moisture Passive Microwave Remote Sensing Inversion Method in Northeast of China[D]. Shenyang: Chinese Academy of Sciences (Northeast Institute of Geography and Agricultural Ecology), 2012.
郑兴明. 东北地区土壤湿度被动微波遥感高精度反演方法研究[D]. 沈阳: 中国科学院研究生院(东北地理与农业生态研究所), 2012.
[28] Yan F, Wang Y J. Estimation of soil moisture from Ts-EVI feature space. Acta Ecologica Sinica, 2009, 29(9): 4884-4891.
闫峰, 王艳姣. 基Ts-EVI特征空间的土壤水分估算. 生态学报, 2009, 29(9): 4884-4891.
[29] Huete A, Didan K, Shimabokuro Y, et al . Regional Amazon basin and global analyses of MODIS vegetation indices: Early results and comparisons with AVHRR. Geoscience and Remote Sensing Symposium, 2000, 2: 536-538.
[30] Liu X J, Li X P, Yang Q K, et al . Retrieving soil moisture based on terrain factors-A case study in yan he river basin. Agricultural Research in the Arid Areas, 2010, 28(5): 218-223.
刘晓婧, 李新平, 杨勤科, 等. 基于地形因子的土壤水分反演研究-以延河流域为例. 干旱地区农业研究, 2010, 28(5): 218-223.
[31] Huo A D. Study on Aeolian Desertification Remote Sensing Monitoring System in China Using MODIS Image Data[D]. Yangling: Northwest A&F University, 2008.
霍艾迪. 基于MODIS数据的沙漠化遥感监测技术研究[D]. 杨凌: 西北农林科技大学, 2008.
[32] Qi S H. Drought Monitoring Models with Remote Sensing and Spatio-temporal Characteristics of Drought in China[D]. Beijing: Chinese Academy of Sciences (Institute of Remote Sensing Applications), 2004.
齐述华. 干旱监测遥感模型和中国干旱时空分析[D]. 北京: 中国科学院研究生院(遥感应用研究所), 2004.
[33] Qi S H, Wang C Y, Niu Z, et al . Evaluating soil moisture status in china using the temperature/ vegetation dryness index(TVDI). Journal of Remote Sensing, 2003, 7(5): 420-428.
齐述华, 王长耀, 牛铮, 等. 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): 420-428.
[34] Wang C Z, Mao L X, He Y B, et al . Application of temperature-vegetation dryness index (TVDI) in estimation of soil moisture in HHH plain. Chinese Journal of Soil Science, 2009, 40(5): 998-1005.
王纯枝, 毛留喜, 何延波, 等. 温度植被干旱指数法(TVDI)在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.
[35] Price J C. Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Transactions on Geoscience and Remote Sensing, 1990, 28(5): 940-948.
[36] Carlson T N, Gillies R R, Perry E M, et al . A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews, 1994, 9(1/2): 161-173.
[37] Nemani R, Pierce L, Running S, et al . Developing satellite-derived estimates of surface moisture status. Journal of Applied Meteorology, 1993, 32(3): 548-557.
[38] Moran M S, Clarke T R, Inoue Y, et al . Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment, 1994, 49(3): 246-263.
[39] Sandholt I, Rasmussen K, Andersen J, et al . A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status. Remote Sensing of Environment, 2002, 79(2): 213-224.
[40] He J C, Bai Y G, Zhang Y J, et al . Soil drought characteristics in xinjiang with remote sensing data. Arid Land Geography, 2015, 38(3): 735-742.
何建村, 白云岗, 张严俊, 等. 基于MODIS数据新疆土壤干旱特征分析. 干旱区地理, 2015, 38(3): 735-742.
[41] Wu M Y, Zhang Q G, Xu L, et al . Dynamic monitoring and spatial -temporal change of summer drought in Anhui province based on the TVDI. Journal of Anhui Agricultural University, 2014, 41(4): 669-674.
吴明业, 张国庆, 徐丽, 等. 基于TVDI指数的安徽省伏旱动态监测与时空演变的研究. 安徽农业大学学报, 2014, 41(4): 669-674.
[42] Du J Q, Zhao C X, Jia E H A H T, et al . Analysis on spatio-temporal trends and drivers in monthly NDVI during recent decades in Xinjiang, China based two datasets. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(5): 172-181.
杜加强, 赵晨曦, 贾尔恒·阿哈提, 等. 近30年新疆月NDVI动态变化及其驱动因子分析. 农业工程学报, 2016, 32(5): 172-181.
[43] Wan Z. MODIS land-surface temperature algorithm theoretical basis document. Institute for Computational Earth System Science, 1999, 3: 75.
[44] Huete A, Justice C, Van Leeuwen W, et al . MODIS vegetation index (MOD13). Algorithm Theoretical Basis Document, 1999, 3: 1-120.
[45] Wei W, Ren H C, Zhao J, et al . Retrieving soil moisture of shiyang river basin by ATI and TVI based on EOS/MODIS Data. Remote Sensing for Land & Resources, 2011, (2): 104-109.
魏伟, 任皓晨, 赵军, 等. 基于MODIS的ATI和TVI组合法反演石羊河流域土壤含水量. 国土资源遥感, 2011, (2): 104-109.
[46] Yang X H, Zhuo G, Luo B, et al . On MODIS data based dought monitoring in Northwest China. Pratacultural Science, 2011, 28(8): 1420-1426.
杨秀海, 卓嘎, 罗布, 等. 基于MODIS数据的西北地区旱情监测. 草业科学, 2011, 28(8): 1420-1426.
[47] Yang X H, Zhuo G, Luo B, et al . Drought monitoring in the Tibetan plateau based on based on MODIS dataset. Journal of Desert Research, 2014, 34(2): 527-534.
杨秀海, 卓嘎, 罗布, 等. 基于MODIS数据的青藏高原旱情监测研究. 中国沙漠, 2014, 34(2): 527-534.
[48] 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.
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.
[49] Xu Y L. Study on Remote Sensing Inversion of Soil Moisture and The Relationship Between Soil Moisture and Land-use in Hebei Plain Area[D]. Shijiazhuang: Hebei Normal University, 2010.
许玉兰. 河北平原区土壤湿度的遥感反演及其与土地利用关系研究[D]. 石家庄: 河北师范大学, 2010.
[50] Zhang B Y. Study on Dynamic of Soil Water Under Different Landsues in Small Watershed of Loess hilly Region[D]. Yangling: Graduate University of Chinese Academy of Sciences, 2008.
张北赢. 黄土丘陵区小流域不同土地利用方式土壤水分动态规律研究[D]. 杨凌: 中国科学院研究生院, 2008.