[1]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.
Copy

Analysis of Relationship Between Temperature Vegetation Dryness Index and Soil Moisture at Multiple Temporal Scales and Drought Monitoring

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.
Similar References:

Memo

-

Last Update: 2024-04-20

Online:3006       Total Traffic Statistics:23635015

Website Copyright: Research of Soil and Water Conservation Shaanxi ICP No.11014090-10
Tel: 029-87012705 Address: Editorial Department of Research of Soil and Water Conservation, No. 26, Xinong Road, Yangling, Shaanxi Postcode: 712100