Dataset for: Modelling crops using high resolution multispectral images
International Potato Center Dataverse OAI Archive
View Archive InfoField | Value | |
Title |
Dataset for: Modelling crops using high resolution multispectral images
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Identifier |
https://doi.org/10.21223/P3/UVWVLA
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Creator |
Loayza, Hildo
Silva, Luis Palacios, Susan Balcazar, Mario Quiroz, Roberto |
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Publisher |
International Potato Center
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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
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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 |
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Language |
English
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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 |
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Type |
TIF
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