Remote Sensing-Based Evaluation of Heat Stress Damage on Paddy Rice Using NDVI and PRI Measured at Leaf and Canopy Scales

被引:4
|
作者
Ryu, Jae-Hyun [1 ,2 ]
Oh, Dohyeok [1 ,3 ]
Ko, Jonghan [1 ]
Kim, Han-Yong [1 ]
Yeom, Jong-Min [4 ]
Cho, Jaeil [1 ,5 ]
机构
[1] Chonnam Natl Univ, Dept Appl Plant Sci, 77 Yongbong Ro, Gwangju 61186, South Korea
[2] Rural Dev Adm, Natl Inst Agr Sci, Wonju 55365, South Korea
[3] Gyeonggi Agr Res & Extens Serv, Agr Resources Res Inst, 61 Yeoncheon Ro, Pocheon Si 11017, South Korea
[4] Korea Aerosp Res Inst, Satellite Applicat Div, 115 Gwahangno, Daejeon 34133, South Korea
[5] Chonnam Natl Univ, FOUR Ctr IT Bio Convergence Syst Agr BK21, Yongbong Ro 77, Gwangju 61186, South Korea
来源
AGRONOMY-BASEL | 2022年 / 12卷 / 08期
基金
新加坡国家研究基金会;
关键词
temperature gradient field chamber; heat stress; crop stress; vegetation index; ripening ratio; TEMPERATURE-GRADIENT CHAMBERS; GLOBAL ENVIRONMENT CHANGE; AIR CO2 ENRICHMENT; WATER-STRESS; SPECTRAL REFLECTANCE; SPIKELET FERTILITY; VEGETATION INDEXES; GRAIN-YIELD; GROWTH; STERILITY;
D O I
10.3390/agronomy12081972
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Extremely high air temperature at the heading stage of paddy rice causes a yield reduction due to the increasing spikelet sterility. Quantifying the damage to crops caused by high temperatures can lead to more accurate estimates of crop yields. The remote sensing technique evaluates crop conditions indirectly but provides information related to crop physiology, growth, and yield. In this study, we aim to assess the crop damage caused by heat stress in paddy rice examined under elevated air temperatures in a temperature gradient field chamber from 2016 to 2019, using remote-sensed vegetation indices. A leaf-spectrometer, field-spectrometers, and a multi-spectral camera were used to monitor the conditions of paddy rice. Although, in the leaf- and canopy-scales, the values of normalized difference vegetation index (NDVI) and photochemical reflectance index (PRI) decreased after the heading of rice under normal conditions, the decreasing sensitivity of NDVI and PRI was different depending on the degree of physiological heat stress by high temperature conditions. The NDVI after the heading under extremely high air temperature was not dropped and remained the value before heading. The PRI decreased at all air temperature conditions after the heading; the PRI of the plot exposed to the elevated air temperature was higher than that under ambient air temperature. Further, the relative change in NDVI and PRI after the heading exhibited a strong relationship with the ripening ratio of paddy rice, which is the variable related to crop yield. These remote-sensing results aid in evaluating the crop damage caused by heat stress using vegetation indices.
引用
收藏
页数:20
相关论文
共 44 条
  • [21] A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal
    Godinho, Sergio
    Gil, Artur
    Guiomar, Nuno
    Neves, Nuno
    Pinto-Correia, Teresa
    [J]. AGROFORESTRY SYSTEMS, 2016, 90 (01) : 23 - 34
  • [22] A remote sensing-based approach to estimating montado canopy density using the FCD model: a contribution to identifying HNV farmlands in southern Portugal
    Sérgio Godinho
    Artur Gil
    Nuno Guiomar
    Nuno Neves
    Teresa Pinto-Correia
    [J]. Agroforestry Systems, 2016, 90 : 23 - 34
  • [23] Spectroscopic remote sensing of plant stress at leaf and canopy levels using the chlorophyll 680 nm absorption feature with continuum removal
    Sanches, Ieda Del'Arco
    Souza Filho, Carlos Roberto
    Kokaly, Raymond Floyd
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 97 : 111 - 122
  • [24] Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques
    Rahman, Md Mizanur
    Zhang, Xunhe
    Ahmed, Imran
    Iqbal, Zaheer
    Zeraatpisheh, Mojtaba
    Kanzaki, Mamoru
    Xu, Ming
    [J]. REMOTE SENSING, 2020, 12 (09)
  • [25] Evaluation of Protected Areas in Cote d'Ivoire and Ghana, West Africa, Using a Remote Sensing-Based Approach
    Singh, Minerva
    Massimino, Lorena M.
    Collins, Catherine Matilda
    [J]. LAND, 2022, 11 (05)
  • [26] Remote sensing-based precipitation forecasting using cloud optical characteristics: threshold optimization and evaluation in Northern and Western Iran
    Ali Salahi
    Afshin Ashrafzadeh
    Majid Vazifedoust
    [J]. Natural Hazards, 2024, 120 : 3661 - 3675
  • [27] Remote sensing-based precipitation forecasting using cloud optical characteristics: threshold optimization and evaluation in Northern and Western Iran
    Salahi, Ali
    Ashrafzadeh, Afshin
    Vazifedoust, Majid
    [J]. NATURAL HAZARDS, 2024, 120 (04) : 3661 - 3675
  • [28] Leaf water potential of field crops estimated using NDVI in ground-based remote sensing-opportunities to increase prediction precision
    Dong, Xuejun
    Peng, Bin
    Sieckenius, Shane
    Raman, Rahul
    Conley, Matthew M.
    Leskovar, Daniel, I
    [J]. PEERJ, 2021, 9
  • [29] Spectral indices measured with proximal sensing using canopy reflectance sensor, chlorophyll meter and leaf color chart for in-season grain yield prediction of basmati rice
    Varinderpal-Singh
    Kunal
    Mehtab-Singh
    Bijay-Singh
    [J]. PEDOSPHERE, 2022, 32 (06) : 812 - 822
  • [30] Spectral indices measured with proximal sensing using canopy reflectance sensor,chlorophyll meter and leaf color chart for in-season grain yield prediction of basmati rice
    VARINDERPAL-SINGH
    KUNAL
    MEHTAB-SINGH
    BIJAY-SINGH
    [J]. Pedosphere, 2022, 32 (06) : 812 - 822