Field phenotyping of water stress at tree scale by UAV-sensed imagery: new insights for thermal acquisition and calibration

被引:91
|
作者
Gomez-Candon, David [1 ]
Virlet, Nicolas [2 ]
Labbe, Sylvain [3 ]
Jolivot, Audrey [4 ]
Regnard, Jean-Luc [2 ]
机构
[1] INRA, UMR AGAP 1334, Ave Agropolis, F-34398 Montpellier 5, France
[2] CIRAD, Montpellier SupAgro UMR AGAP 1334, TA A-108-03,Ave Agropolis, F-34398 Montpellier 5, France
[3] IRSTEA UMR TETIS, Maison Teledetect,500 Rue Jean Francois Breton, F-34093 Montpellier, France
[4] CIRAD UMR TETIS, Maison Teledetect,500 Rue Jean Francois Breton, F-34093 Montpellier, France
关键词
Unmanned aerial vehicle; Thermal infrared; Ortho-mosaics; Radiometric calibration; Canopy temperature; Water stress; UNMANNED AERIAL VEHICLE; CANOPY TEMPERATURE; DROUGHT STRESS; AGRICULTURE; VARIABILITY; RESPONSES;
D O I
10.1007/s11119-016-9449-6
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Numerous agronomical applications of remote sensing have been proposed in recent years, including water stress assessment at field by thermal imagery. The miniaturization of thermal cameras allows carrying them onboard the unmanned aerial vehicles (UAVs), but these systems have no temperature control and, consequently, drifts during data acquisition have to be carefully corrected. This manuscript presents a comprehensive methodology for radiometric correction of UAV remotely-sensed thermal images to obtain (combined with visible and near-infrared data) multispectral ortho-mosaics, as a previous step for further image-based assessment of tree response to water stress. On summer 2013, UAV flights were performed over an apple tree orchard located in Southern France, and 4 dates and 5 h of the day were tested. The 6400 m(2) field plot comprised 520 apple trees, half well-irrigated and half submitted to progressive summer water stress. Temperatures of four different on-ground stable reference targets were continuously measured by thermo-radiometers for radiometric calibration purposes. By using self-developed software, frames were automatically extracted from the thermal video files, and then radiometrically calibrated using the thermal targets data. Once ortho-mosaics were obtained, root mean squared error (RMSE) was calculated. The accuracy obtained allowed multi-temporal mosaic comparison. Results showed a good relationship between calibrated images and on-ground data. Significantly higher canopy temperatures were found in water-stressed trees compared to well-irrigated ones. As high resolution field ortho-mosaics were obtained, comparison between trees opens the possibility of using multispectral data as phenotypic variables for the characterization of individual plant response to drought.
引用
收藏
页码:786 / 800
页数:15
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