Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards
In the current scenario of worldwide limited water supplies, conserving water is a major concern in agricultural areas. Characterizing within-orchard spatial heterogeneity in water requirements would assist in improving irrigation water use efficiency and conserve water. The crop water stress index (CWSI) has been successfully used as a crop water status indicator in several fruit tree species. In this study, the CWSI was developed in three <i>Prunus persica</i> L. cultivars at different phenological stages of the 2012 to 2014 growing seasons, using canopy temperature measurements of well-watered trees. The CWSI was then remotely estimated using high-resolution thermal imagery acquired from an airborne platform and related to leaf water potential (Ѱ<sub>L</sub>) throughout the season. The feasibility of mapping within-orchard spatial variability of Ѱ<sub>L</sub> from thermal imagery was also explored. Results indicated that CWSI can be calculated using a common non-water-stressed baseline (NWSB), upper and lower limits for the entire growing season and for the three studied cultivars. Nevertheless, a phenological effect was detected in the CWSI <i>vs.</i> Ѱ<sub>L</sub> relationships. For a specific given CWSI value, Ѱ<sub>L</sub> was more negative as the crop developed. This different seasonal response followed the same trend for the three studied cultivars. The approach presented in this study demonstrated that CWSI is a feasible method to assess the spatial variability of tree water status in heterogeneous orchards, and to derive Ѱ<sub>L</sub> maps throughout a complete growing season. A sensitivity analysis of varying pixel size showed that a pixel size of 0.8 m or less was needed for precise Ѱ<sub>L</sub> mapping of peach and nectarine orchards with a tree crown area between 3.0 to 5.0 m<sup>2</sup>.
Main Authors: | , , , , , , |
---|---|
Other Authors: | |
Format: | artículo biblioteca |
Published: |
Multidisciplinary Digital Publishing Institute
2016-01-05
|
Online Access: | http://hdl.handle.net/10261/149161 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-ias-es-10261-149161 |
---|---|
record_format |
koha |
spelling |
dig-ias-es-10261-1491612018-08-01T10:28:03Z Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards Bellvert, Joaquim Marsal, Jordi Girona, Joan González-Dugo, Victoria Fereres Castiel, Elías Ustin, S. L. Zarco-Tejada, Pablo J. Consejo Superior de Investigaciones Científicas (España) Ministerio de Economía y Competitividad (España) In the current scenario of worldwide limited water supplies, conserving water is a major concern in agricultural areas. Characterizing within-orchard spatial heterogeneity in water requirements would assist in improving irrigation water use efficiency and conserve water. The crop water stress index (CWSI) has been successfully used as a crop water status indicator in several fruit tree species. In this study, the CWSI was developed in three <i>Prunus persica</i> L. cultivars at different phenological stages of the 2012 to 2014 growing seasons, using canopy temperature measurements of well-watered trees. The CWSI was then remotely estimated using high-resolution thermal imagery acquired from an airborne platform and related to leaf water potential (Ѱ<sub>L</sub>) throughout the season. The feasibility of mapping within-orchard spatial variability of Ѱ<sub>L</sub> from thermal imagery was also explored. Results indicated that CWSI can be calculated using a common non-water-stressed baseline (NWSB), upper and lower limits for the entire growing season and for the three studied cultivars. Nevertheless, a phenological effect was detected in the CWSI <i>vs.</i> Ѱ<sub>L</sub> relationships. For a specific given CWSI value, Ѱ<sub>L</sub> was more negative as the crop developed. This different seasonal response followed the same trend for the three studied cultivars. The approach presented in this study demonstrated that CWSI is a feasible method to assess the spatial variability of tree water status in heterogeneous orchards, and to derive Ѱ<sub>L</sub> maps throughout a complete growing season. A sensitivity analysis of varying pixel size showed that a pixel size of 0.8 m or less was needed for precise Ѱ<sub>L</sub> mapping of peach and nectarine orchards with a tree crown area between 3.0 to 5.0 m<sup>2</sup>. We acknowledge support by the CSIC Open Access Publication Initiative through its Unit of Information Resources for Research (URICI). The funding of this research came from the Spanish Ministry of Economy and Competitiveness, under Project INNPACTO IPT-2011-1786-060000. We are grateful to Codorniu winery and Sorigué, S.A. for their support in this study. We thank RS Aviation, and in particular Mr Robert Pedra for his contribution to the acquisition of images. Technicians from the Efficient Use of Water program in IRTA and Quantalab (IAS-CSIC) are also acknowledged for their technical support in the field campaigns. 2017-05-06T05:18:54Z 2017-05-06T05:18:54Z 2016-01-05 2017-05-06T05:18:56Z artículo http://purl.org/coar/resource_type/c_6501 Remote Sensing 8(1): 39 (2016) 2072-4292 http://hdl.handle.net/10261/149161 10.3390/rs8010039 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 Publisher's versión https://doi.org/10.3390/rs8010039 Sí open Multidisciplinary Digital Publishing Institute |
institution |
IAS ES |
collection |
DSpace |
country |
España |
countrycode |
ES |
component |
Bibliográfico |
access |
En linea |
databasecode |
dig-ias-es |
tag |
biblioteca |
region |
Europa del Sur |
libraryname |
Biblioteca del IAS España |
description |
In the current scenario of worldwide limited water supplies, conserving water is a major concern in agricultural areas. Characterizing within-orchard spatial heterogeneity in water requirements would assist in improving irrigation water use efficiency and conserve water. The crop water stress index (CWSI) has been successfully used as a crop water status indicator in several fruit tree species. In this study, the CWSI was developed in three <i>Prunus persica</i> L. cultivars at different phenological stages of the 2012 to 2014 growing seasons, using canopy temperature measurements of well-watered trees. The CWSI was then remotely estimated using high-resolution thermal imagery acquired from an airborne platform and related to leaf water potential (Ѱ<sub>L</sub>) throughout the season. The feasibility of mapping within-orchard spatial variability of Ѱ<sub>L</sub> from thermal imagery was also explored. Results indicated that CWSI can be calculated using a common non-water-stressed baseline (NWSB), upper and lower limits for the entire growing season and for the three studied cultivars. Nevertheless, a phenological effect was detected in the CWSI <i>vs.</i> Ѱ<sub>L</sub> relationships. For a specific given CWSI value, Ѱ<sub>L</sub> was more negative as the crop developed. This different seasonal response followed the same trend for the three studied cultivars. The approach presented in this study demonstrated that CWSI is a feasible method to assess the spatial variability of tree water status in heterogeneous orchards, and to derive Ѱ<sub>L</sub> maps throughout a complete growing season. A sensitivity analysis of varying pixel size showed that a pixel size of 0.8 m or less was needed for precise Ѱ<sub>L</sub> mapping of peach and nectarine orchards with a tree crown area between 3.0 to 5.0 m<sup>2</sup>. |
author2 |
Consejo Superior de Investigaciones Científicas (España) |
author_facet |
Consejo Superior de Investigaciones Científicas (España) Bellvert, Joaquim Marsal, Jordi Girona, Joan González-Dugo, Victoria Fereres Castiel, Elías Ustin, S. L. Zarco-Tejada, Pablo J. |
format |
artículo |
author |
Bellvert, Joaquim Marsal, Jordi Girona, Joan González-Dugo, Victoria Fereres Castiel, Elías Ustin, S. L. Zarco-Tejada, Pablo J. |
spellingShingle |
Bellvert, Joaquim Marsal, Jordi Girona, Joan González-Dugo, Victoria Fereres Castiel, Elías Ustin, S. L. Zarco-Tejada, Pablo J. Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
author_sort |
Bellvert, Joaquim |
title |
Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
title_short |
Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
title_full |
Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
title_fullStr |
Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
title_full_unstemmed |
Airborne Thermal Imagery to Detect the Seasonal Evolution of Crop Water Status in Peach, Nectarine and Saturn Peach Orchards |
title_sort |
airborne thermal imagery to detect the seasonal evolution of crop water status in peach, nectarine and saturn peach orchards |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2016-01-05 |
url |
http://hdl.handle.net/10261/149161 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/501100003339 |
work_keys_str_mv |
AT bellvertjoaquim airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT marsaljordi airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT gironajoan airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT gonzalezdugovictoria airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT fererescastielelias airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT ustinsl airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards AT zarcotejadapabloj airbornethermalimagerytodetecttheseasonalevolutionofcropwaterstatusinpeachnectarineandsaturnpeachorchards |
_version_ |
1777663100944646144 |