Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application
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| Authors: | , , , , , , , , , , |
|---|---|
| Format: | artículo |
| Publication Date: | 2021 |
| Description: | Se seleccionó la licencia Creative Commons para este envío. El documento trae lo siguiente: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access articledistributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). (En caso de duda consultar a Meilyn Garro). |
| Country: | Repositorio UNA |
| Institution: | Universidad Nacional de Costa Rica |
| Repositorio: | Repositorio UNA |
| Language: | Inglés |
| OAI Identifier: | oai:null:11056/21659 |
| Online Access: | http://hdl.handle.net/11056/21659 |
| Keyword: | UNMANNED AERIAL VEHICLE (UAV) HYPERSPECTRAL AND THERMAL IMAGERY GROSS PRIMARY PRODUCTIVITY (GPP) WATER USE EFFICIENCY (WUE) UPLAND RICE |