High-resolution aerial thermal imagery for plant water status assessment in vineyards using a multicopter-RPAS

被引:0
|
作者
Gago, J. [1 ]
Martorell, S. [1 ]
Tomas, M. [1 ]
Pou, A. [1 ]
Millan, B. [5 ]
Ramon, J. [2 ]
Ruiz, M. [2 ]
Sanchez, R. [3 ]
Galmes, J. [1 ]
Conesa, M. A. [1 ]
Cuxart, J. [4 ]
Tardaguila, J. [4 ]
Ribas-Carbo, M. [1 ]
Flexas, J. [1 ]
Medrano, H. [1 ]
Escalona, J. M. [1 ]
机构
[1] Univ Illes Balears, Grp Recerca Biol Plantes Cond Mediterranies, Ctra Valldemossa Km 7-5, Palma De Mallorca 07122, Spain
[2] Univ Illes Balears, Serv Cient Tecn, Palma De Mallorca 07122, Spain
[3] Univ Illes Balears, Serv SIG & Teledeteccio, Palma De Mallorca 07122, Spain
[4] Univ Illes Balears, Grp Meteorol, Palma De Mallorca 07122, Spain
[5] Univ La Rioja, ICVV, CSIC, Gobierno La Rioja, Logrono 26006, Spain
来源
VII CONGRESO IBERICO DE AGROINGENIERIA Y CIENCIAS HORTICOLAS: INNOVAR Y PRODUCIR PARA EL FUTURO. INNOVATING AND PRODUCING FOR THE FUTURE | 2014年
关键词
grapevine; stomatal conductance; irrigation; drought; thermography; STOMATAL CONDUCTANCE; VEHICLE UAV; C-3; PLANTS; PHOTOSYNTHESIS; DROUGHT;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Climate change models predict that Mediterranean region, where the most important wine-producer countries worldwide are present, will experience increased frequency and severity of drought periods. Consequently, there is an increased requirement for improvement in the irrigation assessment of vineyards. It was described that grapevine water status can be determined as a function of stomatal conductance (g(s)), with values of this parameter below 100 mmol H(2)0 m(-2) s(-1) indicating that grapevines are under drought. Stomatal conductance is a physiological parameter that can also be estimated remotely by correlation with canopy temperatures. Therefore, remote thermal sensing of gs can then be used to develop an irrigation scheduling based on physiological plant status of drought stress. Multicopter RPA (Remote Piloted Aircraft) combined with aerial thermographic imagery open a new opportunity for water stress detection in vineyards. High-resolution thermal images acquired from the multicopter were used to generate three different thermal indexes and three basic alternative methods developed from leaf energy balance equation to correlate with gs. The use of this technology for irrigation assessment in vineyards is discussed.
引用
收藏
页码:157 / 162
页数:6
相关论文
共 17 条
  • [1] Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
    Baluja, Javier
    Diago, Maria P.
    Balda, Pedro
    Zorer, Roberto
    Meggio, Franco
    Morales, Fermin
    Tardaguila, Javier
    IRRIGATION SCIENCE, 2012, 30 (06) : 511 - 522
  • [2] High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature
    Olsoy, Peter J.
    Zaiats, Andrii
    Delparte, Donna M.
    Germino, Matthew J.
    Richardson, Bryce A.
    Roop, Spencer
    Roser, Anna V.
    Forbey, Jennifer S.
    Cattau, Megan E.
    Buerki, Sven
    Reinhardt, Keith
    Caughlin, T. Trevor
    REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2024, 10 (01) : 106 - 120
  • [3] Assessment of vineyard water status variability by thermal and multispectral imagery using an unmanned aerial vehicle (UAV)
    Javier Baluja
    Maria P. Diago
    Pedro Balda
    Roberto Zorer
    Franco Meggio
    Fermin Morales
    Javier Tardaguila
    Irrigation Science, 2012, 30 : 511 - 522
  • [4] Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery
    Bian, Jiang
    Zhang, Zhitao
    Chen, Junying
    Chen, Haiying
    Cui, Chenfeng
    Li, Xianwen
    Chen, Shuobo
    Fu, Qiuping
    REMOTE SENSING, 2019, 11 (03)
  • [5] Evaluating the utility of combining high resolution thermal, multispectral and 3D imagery from unmanned aerial vehicles to monitor water stress in vineyards
    Burchard-Levine, V.
    Guerra, J. G.
    Borra-Serrano, I.
    Nieto, H.
    Mesias-Ruiz, G.
    Dorado, J.
    de Castro, A. I.
    Herrezuelo, M.
    Mary, B.
    Aguirre, E. P.
    Pena, J. M.
    PRECISION AGRICULTURE, 2024, 25 (05) : 2447 - 2476
  • [6] High-resolution UAV-based thermal imaging to estimate the instantaneous and seasonal variability of plant water status within a vineyard
    Santesteban, L. G.
    Di Gennaro, S. F.
    Herrero-Langreo, A.
    Miranda, C.
    Royo, J. B.
    Matese, A.
    AGRICULTURAL WATER MANAGEMENT, 2017, 183 : 49 - 59
  • [7] Using high resolution UAV thermal imagery to assess the variability in the water status of five fruit tree species within a commercial orchard
    Gonzalez-Dugo, V.
    Zarco-Tejada, P.
    Nicolas, E.
    Nortes, P. A.
    Alarcon, J. J.
    Intrigliolo, D. S.
    Fereres, E.
    PRECISION AGRICULTURE, 2013, 14 (06) : 660 - 678
  • [8] Assessment of optimal flying height and timing using high-resolution unmanned aerial vehicle images in precision agriculture
    Awais, M.
    Li, W.
    Cheema, M. J. Masud
    Hussain, S.
    Shaheen, A.
    Aslam, B.
    Liu, C.
    Ali, A.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2022, 19 (04) : 2703 - 2720
  • [9] Assessment of maize water status using a consumer-grade camera and thermal imagery
    Mousabeygi, Fatemeh
    Rezaei, Yousef
    Akhavan, Samira
    WATER SUPPLY, 2021, 21 (06) : 2543 - 2552
  • [10] Estimation of crop water stress in a nectarine orchard using high-resolution imagery from unmanned aerial vehicle (UAV)
    Park, S.
    Nolan, A.
    Ryu, D.
    Fuentes, S.
    Hernandez, E.
    Chung, H.
    O'Connell, M.
    21ST INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION (MODSIM2015), 2015, : 1413 - 1419