Use of UAV for support of intensive agricultural management decisions: from science to commercial applications
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[1] S. Running,et al. A review of remote sensing based actual evapotranspiration estimation , 2016 .
[2] Mac McKee,et al. Assessment of optimal irrigation water allocation for pressurized irrigation system using water balance approach, learning machines, and remotely sensed data , 2015 .
[3] Austin M. Jensen,et al. Use of high-resolution multispectral imagery from an unmanned aerial vehicle in precision agriculture , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[4] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[5] D. Reisig,et al. Aggregation and Association of NDVI, Boll Injury, and Stink Bugs in North Carolina Cotton , 2015, Journal of insect science.
[6] So Ra Ahn,et al. Estimation of spatial evapotranspiration using Terra MODIS satellite image and SEBAL model in mixed forest and rice paddy area , 2016 .
[7] Mac McKee,et al. Estimating chlorophyll with thermal and broadband multispectral high resolution imagery from an unmanned aerial system using relevance vector machines for precision agriculture , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[8] W. Kustas,et al. Utility of an Automated Thermal-Based Approach for Monitoring Evapotranspiration , 2015, Acta Geophysica.
[9] Dawei Han,et al. Estimation of land surface temperature from atmospherically corrected LANDSAT TM image using 6S and NCEP global reanalysis product , 2014, Environmental Earth Sciences.
[10] G. Senay,et al. Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin , 2015 .
[11] Austin Jensen,et al. Development of unmanned aerial systems for use in precision agriculture: The AggieAir experience , 2015, 2015 IEEE Conference on Technologies for Sustainability (SusTech).
[12] Wim G.M. Bastiaanssen,et al. Spatial evapotranspiration, rainfall and land use data in water accounting - Part 1: Review of the accuracy of the remote sensing data , 2014 .
[13] Martha C. Anderson,et al. A Two-Source Time-Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing , 1997 .
[14] James R. Freemantle,et al. A comparison of NDVI and MTVI2 for estimating LAI using CHRIS imagery: a case study in wheat , 2008 .
[15] Richard G. Allen,et al. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .
[16] James L. Wright,et al. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Applications , 2007 .
[17] A. Holtslag,et al. A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .
[18] Yangquan Chen,et al. Calibrating thermal imagery from an unmanned aerial system - AggieAir , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[19] Steve George. FAA unmanned aircraft systems (UAS) - Overview: UAS and the proposed small UAS rule , 2015, 2015 Integrated Communication, Navigation and Surveillance Conference (ICNS).
[20] Pablo J. Zarco-Tejada,et al. Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops , 2004 .
[21] Olivier Hagolle,et al. A Software Tool for Atmospheric Correction and Surface Temperature Estimation of Landsat Infrared Thermal Data , 2016, Remote. Sens..
[22] Leila Hassan-Esfahani,et al. High Resolution Multi-Spectral Imagery and Learning Machines in Precision Irrigation Water Management , 2015 .
[23] Hongliang Fang,et al. Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods , 2001, IEEE Trans. Geosci. Remote. Sens..
[24] Austin M. Jensen,et al. Assessment of Surface Soil Moisture Using High-Resolution Multi-Spectral Imagery and Artificial Neural Networks , 2015, Remote. Sens..
[25] Raj S. Chhikara,et al. Field size distributions for selected agricultural crops in the United States and Canada , 1986 .
[26] D. C. Kincaid,et al. A VARIABLE FLOW RATE SPRINKLER FOR SITE-SPECIFIC IRRIGATION MANAGEMENT , 2004 .
[27] S. Jones,et al. A linear physically-based model for remote sensing of soil moisture using short wave infrared bands , 2015 .
[28] N. Nguyen,et al. Aerial spraying of wheat: A comparison of conventional low volume with ultra‐low volume spraying , 1984 .
[29] John R. Miller,et al. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. , 2002, Journal of environmental quality.
[30] William P. Kustas,et al. Mapping Evapotranspiration and Drought at local to Continental Scales using Thermal Remote Sensing , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.
[31] T. Carlson. An Overview of the “Triangle Method” for Estimating Surface Evapotranspiration and Soil Moisture from Satellite Imagery , 2007, Sensors (Basel, Switzerland).
[32] G. Green. Rural Jobs: Making aL iving in the Countryside , 2012 .
[33] John R. Miller,et al. Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy , 2005 .
[34] Austin Jensen,et al. Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian‐Based Artificial Neural Networks and High‐ Resolution Visual, NIR, and Thermal Imagery , 2017 .