Record Details

Dataset for: Modelling crops using high resolution multispectral images

International Potato Center Dataverse OAI Archive

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Field Value
 
Title Dataset for: Modelling crops using high resolution multispectral images
 
Identifier https://doi.org/10.21223/P3/UVWVLA
 
Creator Loayza, Hildo
Silva, Luis
Palacios, Susan
Balcazar, Mario
Quiroz, Roberto
 
Publisher International Potato Center
 
Description The 45 multiespectral aerial images were adquired throughout the vegetative period of Corn, Sweet potato and Cassava crops on the framework of Rodrigo Morales's PhD project funded by BMGF and RTB CC5.2.1.2. The images were captured with a Remotely Piloted Aircraft System (RPAS), the system included an OKtokoter platform and an multiespectral camera (MicroADC-Tetracam). The multiespectral images are composed of information in the NIR, Red and Green bands. The images were acquired at 95 meteres average flight altitude
 
Subject Agricultural Sciences
Earth and Environmental Sciences
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
Cassava
Corn
Sweetpotato
 
Language English
 
Contributor Administrator, CIP
International Potato Center
CGIAR Research Program on Roots, Tubers and Bananas (RTB)
Bill and Melinda Gates Foundation (BMFG)
Federal Ministry of Cooperation and Development (BMZ), Germany
(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
Project: CC5.2.1.2 - Optimising of RTB-based system componets for livehood outcomes
 
Type TIF