Climate Change Data Portal
DOI | 10.3390/rs11070795 |
Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale | |
Durante, Pilar; Martin-Alcon, Santiago; Gil-Tena, Assu; Algeet, Nur; Luis Tome, Jose; Recuero, Laura; Palacios-Orueta, Alicia; Oyonarte, Cecilio | |
发表日期 | 2019-04-01 |
ISSN | 2072-4292 |
卷号 | 11期号:7 |
英文摘要 | Forest aboveground biomass (AGB) estimation over large extents and high temporal resolution is crucial in managing Mediterranean forest ecosystems, which have been predicted to be very sensitive to climate change effects. Although many modeling procedures |
关键词 | mediterranean forestclimate changeALSMODISquantile regression forestuncertainty |
学科领域 | Remote Sensing |
语种 | 英语 |
WOS记录号 | WOS:000465549300060 |
来源期刊 | REMOTE SENSING |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/81300 |
作者单位 | Agresta Soc Cooperat, Madrid 28012, Spain |
推荐引用方式 GB/T 7714 | Durante, Pilar,Martin-Alcon, Santiago,Gil-Tena, Assu,et al. Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale[J],2019,11(7). |
APA | Durante, Pilar.,Martin-Alcon, Santiago.,Gil-Tena, Assu.,Algeet, Nur.,Luis Tome, Jose.,...&Oyonarte, Cecilio.(2019).Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale.REMOTE SENSING,11(7). |
MLA | Durante, Pilar,et al."Improving Aboveground Forest Biomass Maps: From High-Resolution to National Scale".REMOTE SENSING 11.7(2019). |
条目包含的文件 | 条目无相关文件。 |
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