Relating AEROCam-derived NDVI to apparent soil electrical conductivity (ECa) for corn fields in Wyoming, USA

被引:6
|
作者
Sivanpillai, Ramesh [1 ,2 ]
Claypool, David A. [3 ]
Siloju, Rajeswari [1 ,4 ]
机构
[1] Univ Wyoming, Wyoming Geog Informat Sci Ctr, Laramie, WY 82071 USA
[2] Univ Wyoming, Dept Bot, Laramie, WY 82071 USA
[3] Univ Wyoming, Dept Plant Sci, Laramie, WY 82071 USA
[4] Univ Wyoming, Dept Comp Sci, Laramie, WY 82071 USA
关键词
SEASON PREDICTION; GRAIN-YIELD; IMAGERY; ZONES;
D O I
10.1080/01431161.2010.533296
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
High-spatial-resolution aerial images are necessary to capture variations in crop growth in small fields. The objective of this study was to analyse the relationship between the normalized difference vegetation index (NDVI), derived from Airborne Environmental Research and Observation Camera (AEROCam; 1 m colour infrared) images, and the apparent soil electrical conductivity (ECa) values measured in furrow-and sprinkler-irrigated fields planted with corn (Zea mays L.) in Lingle, Wyoming. NDVI, calculated using 2005, 2006 and 2007 AEROCam images, and ECa were selected, as both variables are used as a measure of potential crop yield. NDVI values exhibited statistically significant exponential relationships with the ECa values for both fields. For the furrow-irrigated field, the adjusted R-2 values ranged between 0.66 and 0.79, and for the sprinkler-irrigated field the adjusted R-2 values ranged between 0.64 and 0.91. Results obtained in this study indicate that AEROCam images can be used for monitoring crop growth in small fields and can provide valuable insights about crop growth patterns when ECa measurements are not available.
引用
收藏
页码:49 / 56
页数:8
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