Work

Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

Year: 2010

Type: article

Abstract: Payload size and weight are critical factors for small Unmanned Aerial Vehicles (UAVs). Digital color-infrared photographs were acquired from a single 12-megapixel camera that did not have an internal hot-mirror filter and had a red-light-blocking filter in front of the lens, resulting in near-infrared (NIR), green and blue images. We tested the UAV-camera system over two variably-fertilized fields of winter wheat and found a good correlation between leaf area index and the green normalized difference vegetation index (GNDVI). The low cost and very-high spatial resolution associated with the camera-UAV system may provide important information for site-specific agriculture.

Source: Remote Sensing

DOI: 10.3390/rs2010290

Authors: E. Raymond Hunt, W. Dean Hively, Stephen J. Fujikawa, David S. Linden, Craig S. T. Daughtry, Greg W. McCarty

Institutions: Agricultural Research Service, United States Department of Agriculture, Beltsville Agricultural Research Center, Intel (United States)

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $3,258