Record Details

Dataset for: Low-cost UAV-based Agricultural Remote Sensing Platform (UAV-ARSP) for surveying crop statistics in sampling areas (maize)

International Potato Center Dataverse OAI Archive

View Archive Info
 
 
Field Value
 
Title Dataset for: Low-cost UAV-based Agricultural Remote Sensing Platform (UAV-ARSP) for surveying crop statistics in sampling areas (maize)
 
Identifier https://doi.org/10.21223/P3/EQTNTH
 
Creator Loayza, Hildo
Silva, Luis
Palacios, Susan
Alcazar, Jesus
Quiroz, Roberto
 
Publisher International Potato Center
 
Description The 22 multiespectral aerial images portray a maiz crop field at CIP. The images were captured with a Remotely Piloted Aircraft System (RPAS), the system included an OKtokoter platform and an multiespectral camera (ADC-Tetracam). The multiespectral images are composed of information in the NIR, Red and Green bands. The images were acquired during the growing season.
 
Subject Agricultural Sciences
Computer and Information Science
Image Format
Flight altitude
Resolution
Field width
Field height
Longitude
Latitude
Adquisition system
Spectral band
Multispectral images
Unmanned aerial vehicle (UAV)
Remotely piloted aircraft systems (RPAS)
Near infrared (NIR)
Red
Green
 
Language English
 
Contributor Administrator, CIP
International Potato Center
CGIAR Research Program on Water, Land and Ecosystems (WLE)
Bill and Melinda Gates Foundation (BMFG)
(PI) Roberto Quiroz
Project: Remote Sensing as a Monitoring Tool for Smallholder's Cropping Area Determination in Tanzania and Uganda using Sweet Potato as a Pilot Crop
 
Type TIF