Hydrology and Remote Sensing Laboratory Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
Programs and Projects
Subjects of Investigation
Airborne Remote Sensing Basics
ARS Remote Sensing Workshop
OPE3
Crop Condition and Yield Research
Jornada Experiment
Monsoon '90
Soil Moisture Program
Remote Sensing in ARS Workshop 2000
 

Research Project: SPECTRAL AND SPATIAL MEASUREMENTS AND MODELING TO IMPROVE NUTRIENT MANAGEMENT AND ENVIRONMENTAL QUALITY

Location: Hydrology and Remote Sensing Laboratory

Title: REMOTE SENSING CROP BIOMASS USING RADIO CONTROLLED MODEL AIRCRAFT

Authors

Submitted to: American Society of Agronomy Meetings
Publication Type: Abstract
Publication Acceptance Date: October 1, 2003
Publication Date: November 3, 2003
Citation: Hunt, E.R., Cavigelli, M.A., Daughtry, C.L., Walthall, C.L. 2003. Remote sensing crop biomass using radio controlled model aircraft [abstract]. American Society of Agronomy Annual Meetings Abstracts [CDROM]. A03hunt827278-Poster.

Technical Abstract: Radio controlled model aircraft may provide an inexpensive method for acquiring high-spatial resolution images for monitoring agricultural production. The data do not have the quality of commercially-acquired imagery from either aircraft or satellite, but may have a higher benefit to cost ratio. We attached a 4 megapixel Olympus D-40 digital camera on the fuselage of a fixed-wing radio controlled model aircraft (RCMA) and overflew fields of corn, soybeans and alfalfa. We flew at an altitude of about 200 meters above ground level, to get most of the field in one picture. The digital numbers of the images reproduced the spectrum of calibration targets, so the digital numbers were related to reflectance. The band ratio of green to red was linearly correlated to biomass at low levels of biomass, and the ratio saturated at large levels of biomass, which is commonly found in remote sensing. Low levels of applied nitrogen to corn were detectable primarily because of low biomass/plant cover. Because of the rapid turn around time, the ability to get useful data with cloud cover, and high spatial resolution, RCMA acquired imagery may have an important role for precision agriculture.

   

 
Project Team
Daughtry, Craig
Rawls, Walter
Anderson, Martha
Walthall, Charles
Hunt, Earle - Ray
Gish, Timothy
 
Publications
   Publications
 
Related National Programs
  Soil Resource Management (202)
  Integrated Farming Systems (207)
 
 
Last Modified: 05/08/2009
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House