Comparing the effectiveness of hyperspectral and multispectral data in detecting citrus nitrogen and water stresses
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Amar Raheja | Subodh Bhandari | Mohammad Reza Chaichi | Tristan Sherman | Frank Pham | Matt Dohlen | Sharafat Khan
[1] Pablo Zarco-Tejada,et al. Hyperspectral mapping of crop and soils for precision agriculture , 2006, SPIE Optics + Photonics.
[2] Moon S. Kim,et al. Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .
[3] Zhou Zhang,et al. Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery , 2016, Remote. Sens..
[4] Marco Mariotti,et al. Relationship between nitrogen and chlorophyll content and spectral properties in maize leaves , 1993 .
[5] B. Brisco,et al. Precision Agriculture and the Role of Remote Sensing: A Review , 1998 .
[6] C. Daughtry,et al. Evaluation of Digital Photography from Model Aircraft for Remote Sensing of Crop Biomass and Nitrogen Status , 2005, Precision Agriculture.
[7] A. Rango,et al. UAS remote sensing missions for rangeland applications , 2011 .
[8] T. Clarke. An Empirical Approach for Detecting Crop Water Stress Using Multispectral Airborne Sensors , 1997 .
[9] John R. Miller,et al. Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection , 2009 .
[10] M. Govender,et al. A comparison of satellite hyperspectral and multispectral remote sensing imagery for improved classification and mapping of vegetation , 2019, Water SA.