License | This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. | es |
Author | Duarte, Efraín | |
Author | Barrera, Juan A. | |
Author | Dube, Francis | |
Author | Casco, Fabio | |
Author | Hernández, Alexander J. | |
Author | Zagal, Erick | |
Accessioned date | 2024-09-30T23:52:32Z | |
Available date | 2024-09-30T23:52:32Z | |
Year | 2020 | |
Citation | Duarte, E., Barrera, J. A., Dube, F., Casco, F., Hernández, A. J., & Zagal, E. (2020). Monitoring approach for tropical coniferous forest degradation using remote sensing and field data. Remote Sensing, 12(16), 2531. Recuperado de: | es |
URI | https://bvearmb.do/handle/123456789/5198 | |
Abstract | Current estimates of CO2 emissions from forest degradation are generally based on insufficient information and are characterized by high uncertainty, while a global definition of ‘forest degradation’ is currently being discussed in the scientific arena. This study proposes an automated approach to monitor degradation using a Landsat time series. The methodology was developed using the Google Earth Engine (GEE) and applied in a pine forest area of the Dominican Republic. | es |
Language | English | es |
Published | Remote Sensing, 12(16), 2531 | es |
Rights | © 2020 by the author. Licensee MDPI, Basel, Switzerland. | es |
Rights URI | https://creativecommons.org/licenses/by/4.0/ | es |
Subject | Recursos naturales - República Dominicana | es |
Subject | Recursos forestales | es |
Subject | Investigación ambiental | es |
Subject | Tecnología | es |
Title | Monitoring approach for tropical coniferous forest degradation using remote sensing and field data | es |
dc.identifier.doi | https://doi.org/10.3390/rs12162531 | |
Material type | Article | es |
Type of content | Scientific research | es |
Access | Open | es |
Audience | Technicians, professionals and scientists | es |