Evaluation of satellite-based soil moisture for agricultural drought monitoring in the Brazilian semiarid region

被引:6
|
作者
Araujo, Diego Cezar dos Santos [1 ]
Montenegro, Suzana Maria Gico Lima [1 ]
Neto, Alfredo Ribeiro [1 ]
da Silva, Samara Fernanda [2 ]
机构
[1] Univ Fed Pernambuco, Dept Civil & Environm Engn, BR-50670901 Recife, PE, Brazil
[2] Fed Univ Western Bahia, Technol & Exact Sci Ctr, BR-47810047 Barreiras, BA, Brazil
关键词
Remote sensing; Soil water deficit index; Family farming; SMAP; SMOS; SMOS; SURFACE; INDEX; SMAP;
D O I
10.1016/j.rsase.2023.101111
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Northeast region of Brazil, particularly the Brazilian semiarid region (BSR), is frequently affected by drought events, such as the great drought that started in 2012 and is considered one of the most severe droughts in recent decades. Monitoring and quantifying this type of event is essential for decision-making and the adoption of impact mitigation strategies. In this study, re-motely sensed soil moisture (SM) data from three products derived from Soil Moisture and Ocean Salinity (SMOS-CATDS and SMOS-IC) and Soil Moisture Active Passive (SMAP) were validated in the BSR using a dense network of in situ stations (N = 120) from 2015 to 2020. Subsequently, the best product was selected for the evaluation of agricultural drought, based on the Soil Water Deficit Index (SWDI), which was compared with the Atmospheric Water Deficit (AWD) obtained from in situ data (N = 50). After validation, SMAP was selected as the best product for estimating SM in the BSR, and SWDI-SMAP showed a strong temporal correlation with AWD. Based on these two indices, the results indicate the severity of drought in the BSR during the evaluated period, with significant social and economic impacts, highlighting the need for continuous monitoring, especially to support family farming, which is predominant in the region.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Characterizing agricultural drought in the Karamoja subregion of Uganda with meteorological and satellite-based indices
    Catherine Nakalembe
    Natural Hazards, 2018, 91 : 837 - 862
  • [32] Comparison of Contemporary In Situ, Model, and Satellite Remote Sensing Soil Moisture With a Focus on Drought Monitoring
    Ford, Trent W.
    Quiring, Steven M.
    WATER RESOURCES RESEARCH, 2019, 55 (02) : 1565 - 1582
  • [33] SATELLITE-BASED SOIL MOISTURE VALIDATION AND FIELD EXPERIMENTS; SKYLAB TO SMAP
    Jackson, T. J.
    Wigneron, J. P.
    Kerr, Y.
    Cosh, M.
    Colliander, A.
    Walker, J.
    Bindlish, R.
    2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 3462 - 3465
  • [34] Agricultural Drought Monitoring via the Assimilation of SMAP Soil Moisture Retrievals Into a Global Soil Water Balance Model
    Mladenova, Iliana E.
    Bolten, John D.
    Crow, Wade
    Sazib, Nazmus
    Reynolds, Curt
    FRONTIERS IN BIG DATA, 2020, 3
  • [35] Evaluation of Satellite-Based Soil Moisture Products over Four Different Continental In-Situ Measurements
    Liu, Yangxiaoyue
    Yang, Yaping
    Yue, Xiafang
    REMOTE SENSING, 2018, 10 (07):
  • [36] Temporal and Spatial Comparison of Agricultural Drought Indices from Moderate Resolution Satellite Soil Moisture Data over Northwest Spain
    Pablos, Miriam
    Martinez-Fernandez, Jose
    Sanchez, Nilda
    Gonzalez-Zamora, Angel
    REMOTE SENSING, 2017, 9 (11)
  • [37] Relative Strengths Recognition of Nine Mainstream Satellite-Based Soil Moisture Products at the Global Scale
    Min, Xiaoxiao
    Shangguan, Yulin
    Huang, Jingyi
    Wang, Hongquan
    Shi, Zhou
    REMOTE SENSING, 2022, 14 (12)
  • [38] Satellite Soil Moisture for Agricultural Drought Monitoring: Assessment of SMAP-Derived Soil Water Deficit Index in Xiang River Basin, China
    Zhu, Qian
    Luo, Yulin
    Xu, Yue-Ping
    Tian, Ye
    Yang, Tiantian
    REMOTE SENSING, 2019, 11 (03)
  • [39] Satellite-Based Run-Off Model for Monitoring Drought in Peninsular Malaysia
    Hashim, Mazlan
    Reba, Nadzri M.
    Nadzri, Muhammad I.
    Pour, Amin B.
    Mahmud, Mohd R.
    Yusoff, Abdull R. Mohd
    Ali, Mohamad I.
    Jaw, S. W.
    Hossain, Mohammad S.
    REMOTE SENSING, 2016, 8 (08)
  • [40] Satellite-based monitoring of decadal soil salinization and climate effects in a semi-arid region of China
    Hesong Wang
    Gensuo Jia
    Advances in Atmospheric Sciences, 2012, 29 : 1089 - 1099