Liang Shouzhen,Wang Meng,Han Dongrui,et al.Analysis of Relationship Between Temperature Vegetation Dryness Index and Soil Moisture at Multiple Temporal Scales and Drought Monitoring[J].Research of Soil and Water Conservation,2024,31(02):149-157.
TVDI与土壤湿度关系的多时间尺度分析与旱情监测
- Title:
- Analysis of Relationship Between Temperature Vegetation Dryness Index and Soil Moisture at Multiple Temporal Scales and Drought Monitoring
- 文章编号:
- 1005-3409(2024)02-0149-09
- Keywords:
- vegetation index; land surface temperature; drought; temporal scales
- 分类号:
- TP79; S152.7
- 文献标志码:
- A
- 摘要:
- [目的]揭示不同时间尺度的TVDI与土壤湿度的关联关系,确定反映土壤湿度的最佳时间尺度,以更为准确地获取土壤湿度信息,精准监测旱情。[方法]以3种不同时间尺度(8 d,16 d和月)的遥感地表温度、反射率数据以及山东省31个地面观测站土壤湿度数据为基础,分析不同时间尺度下植被指数-温度空间特征,建立不同时段不同时间尺度温度植被干旱指数(TVDI)的热边和冷边函数,研究TVDI与土壤湿度之间的关联性随时间尺度的变化规律,确定了区域土壤墒情监测的时间尺度,反演了区域土壤湿度,监测旱情。[结果]植被指数-温度二维空间形状呈三角形,但随时间发生改变; 二维空间中植被指数与最大、最小温度之间有明显的线性关系,湿边并非理想的与坐标轴平行的直线; TVDI与土壤湿度线性相关,但两者之间的紧密程度随时间尺度而变,8 d尺度的TVDI与土壤湿度有更高的相关系数; 山东省冬小麦旱情与降水高度一致。[结论]短时间尺度的TVDI更适于区域的旱情监测,尽管人工灌溉有效降低了对降水的需求,但降水的多寡仍是影响区域小麦旱情的主要因素。
- Abstract:
- [Objective] The aim of this study is to explore relations between different temporal scales TVDI and soil moisture and determine the best temporal scale inversing soil moisture. It is important to accurately acquire the soil moisture information for the monitoring and the response to drought disaster. [Methods] There are many methods to monitor drought using remotely sensed data. An index in combination with land surface temperature and vegetation index is frequently utilized. In this research, the remotely sensed data including reflectance and land surface temperature on three temporal scales(8-day, 16-day, monthly)were used to calculate temperature vegetation dryness index(TVDI), to analyze relationships between TVDI and soil moisture, and to determine the preferential temporal scale to monitor soil moisture. [Results] The vegetation index was linearly related to max and min land surface temperature at three temporal scales. At different temporal scales, there was a significant relationship between TVDI and soil moisture. However, 8-day TVDI demonstrated a closer relationship with soil moisture and with increasing temporal scales, the relationship between them became weak. In Shandong Province, the drought distribution was in accordance with precipitation. [Conclusion] It is suggested that TVDI can indicate soil moisture and should be used preferentially at the short temporal scale, and precipitation has important influence on wheat drought in Shandong Province.
参考文献/References:
[1] IPCC. Climate Change 2007: Impacts, Adaptation and Vulnerability[R]. Cambridge, UK: Cambridge University Press, 2007.
[2] IPCC. Climate Change 2021: The Physical Science Basis[R]. Cambridge, UK: Cambridge University Press, 2021.
[3] Wang C, Fu B J, Zhang L, et al. Soil moisture-plant interactions: An ecohydrological review[J]. Journal of Soils and Sediments, 2019,19(1):1-9.
[4] Kim H, Parinussa R, Konings A G, et al. Global-scale assessment and combination of SMAP with ASCAT(active)and AMSR2(passive)soil moisture products[J]. Remote Sensing of Environment, 2018,204:260-275.
[5] Gómez-Plaza A, Alvarez-Rogel J, Albaladejo J, et al. Spatial patterns and temporal stability of soil moisture across a range of scales in a semi-arid environment[J]. Hydrological Processes, 2000,14(7):1261-1277.
[6] Byun K, Liaqat U W, Choi M. Dual-model approaches for evapotranspiration analyses over homo-and heterogeneous land surface conditions[J]. Agricultural and Forest Meteorology, 2014,197:169-187.
[7] de Tomás A, Nieto H, Guzinski R, et al. Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas[J]. Remote Sensing of Environment, 2014,152:493-511.
[8] 袁丽娜.基于ATI和TVDI模型改进的黄土高原土壤湿度反演阈值优化与模拟研究[D].江苏徐州:中国矿业大学,2021.
Yuan L N. Estimating by Thresholds Optimization and Modeling Soil Moisture Based on ATI and Modified TVDI for the Chinese Loess Plateau[D]. Xuzhou, Jiangsu: China University of Mining and Technology,2021.
[9] 赵少华,秦其明,沈心一,等.微波遥感技术监测土壤湿度的研究[J].微波学报,2010,26(2):90-96.
Zhao S H, Qin Q M, Shen X Y, et al. Review of microwave remote sensing on soil moisture monitoring[J]. Journal of Microwaves, 2010,26(2):90-96.
[10] 覃湘栋,庞治国,江威.土壤水分光学遥感反演方法研究进展和挑战[J].人民珠江,2021,42(11):38-45,111.
Qin X D, Pang Z G, Jiang W. Progress and challenge of optical remote sensing inversion on soil moisture[J]. Pearl River,2021, 42(11):38-45,111.
[11] 孔金玲,李菁菁,甄珮珮,等.微波与光学遥感协同反演旱区地表土壤水分研究[J].地球信息科学学报,2016,18(6):857-863.
Kong J L, Li J J, Zhen P P, et al. Inversion of soil moisture in arid area based on microwave and optical remote sensing data [J]. Journal of Geo-information Science,2016,18(6):857-863.
[12] 孙嵩松,王喜民.基于多源遥感数据的干旱监测研究[J].山东农业科学,2019,51(2):150-157.
Sun S S, Wang X M. Drought monitoring based on multisource remote sensing data[J]. Shandong Agricultural Sciences,2019,51(2):150-157.
[13] 姚春生,张增祥,汪潇.使用温度植被干旱指数法(TVDI)反演新疆土壤湿度[J].遥感技术与应用,2004,19(6):473-478.
Yao C S, Zhang Z X, Wang X. Evaluating soil moisture status in Xinjiang using the temperature vegetation dryness index(TVDI)[J]. Remote Sensing Technology and Application, 2004,19(6):473-478.
[14] 王鹏新,龚健雅,李小文.条件植被温度指数及其在干旱监测中的应用[J].武汉大学学报:信息科学版,2001,26(5):412-418.
Wang P X, Gong J Y, Li X W. Vegetation-temperature condition index and its application for drought monitoring[J]. Geomatics and Information Science of Wuhan University,2001,26(5):412-418.
[15] Heidinger A K, Cao C Y, Sullivan J T. Using moderate resolution imaging spectrometer(MODIS)to calibrate advanced very high resolution radiometer reflectance channels[J]. Journal of Geophysical Research: Atmospheres, 2002,107(D23):4702.
[16] Toukiloglou P. Comparison of AVHRR, MODIS and VEGETATION for Land Cover Mapping and Drought Monitoring at 1 km Spatial Resolution[D]. Cranfield Bedfordshire, UK: Cranfield University, 2007.
[17] Carlson T N, Gillies R R, Perry E M. A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover[J]. Remote Sensing Reviews, 1994,9(1/2):161-173.
[18] Sandholt I, Rasmussen K, Andersen J. A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status[J]. Remote Sensing of Environment, 2002,79(2):213-224.
[19] Huete A R, Liu H Q, Batchily K, et al. A comparison of vegetation indices global set of TM images for EOS-MODIS[J]. Remote Sensing of Environment, 1997,59(3):440-451.
[20] 张瑶瑶,崔霞,宋清洁,等.基于不同下垫面的农业干旱遥感监测方法与发展前景[J].草业科学,2017,34(12):2416-2427.
Zhang Y Y, Cui X, Song Q J, et al. The agricultural drought remote sensing monitoring methods and prospects based on different underlying surface conditions[J]. Pratacultural Science, 2017,34(12):2416-2427.
[21] 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[J].生态学报,2009,29(3):1205-1216.
Yang X, Wu J J, Yan F, et al. Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space[J]. Acta Ecologica Sinica, 2009,29(3):1205-1216.
[22] 陈明星,张玉虎.基于4种植被指数TVDI模型的三江平原土壤湿度反演[J].水土保持研究,2019,26(3):93-100,107.
Chen M X, Zhang Y H. Retrieval of soil moisture in Sanjiang plain based on TVDI model with four vegetation indices[J]. Research of Soil and Water Conservation,2019,26(3):93-100,107.
[23] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T32136—2015农业干旱等级[S].北京:中国标准出版社,2015.
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, Standardization Administration of the People's Republic of China. Grade of Agricultural Drought GB/T32136—2015[S]. Beijing: Standards Press of China, 2015.
[24] Huete A, Didan K, Miura T, et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J]. Remote Sensing of Environment, 2002,83(1/2):195-213.
[25] 齐述华,李贵才,王长耀,等.利用MODIS数据产品进行全国干旱监测的研究[J].水科学进展,2005,16(1):56-61.
Qi S H, Li G C, Wang C Y, et al. Study on monitoring drought in China with MODIS product[J].Advances in Water Science, 2005,16(1):56-61.
[26] 张顺谦,卿清涛,侯美亭,等.基于温度植被干旱指数的四川伏旱遥感监测与影响评估[J].农业工程学报,2007,23(9):141-146.
Zhang S Q, Qing Q T, Hou M T, et al. Remote sensing and impact estimation for Sichuan hot-drought based on temperature vegetation dryness index[J]. Transactions of the CSAE,2007,23(9):141-146.
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备注/Memo
收稿日期:2023-02-26 修回日期:2023-05-24
资助项目:山东省自然科学基金面上项目(ZR2020MD019); 山东省农业科学院知识创新工程(CXGC2023B01); 国家重点研发计划(2021YFB3901303)
第一作者:梁守真(1979—),男,山东阳谷人,博士,副研究员,主要从事生态环境遥感研究。E-mail:szliang_cas@163.com
通信作者:隋学艳(1980—),女,山东蓬莱人,硕士,研究员,主要从事农业遥感研究。E-mail:sdnkysxy@163.com