The potential of optical and SAR time-series data for the improvement of aboveground biomass carbon estimation in Southwestern China’s evergreen coniferous forests

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-04-26 DOI:10.1080/15481603.2024.2345438

Yiru Zhang, Binbin He, Rui Chen, Hongguo Zhang, Chunquan Fan, Jianpeng Yin, Yanxi Li

引用次数: 0

Abstract

Accurate assessments of forest biomass carbon are invaluable for managing forest resources, evaluating effects on ecological protection, and achieving goals related to climate change and sustainabl...

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光学和合成孔径雷达时间序列数据在改进中国西南常绿针叶林地上生物量碳估算中的潜力

对森林生物质碳的准确评估对于管理森林资源、评估对生态保护的影响以及实现与气候变化和可持续发展相关的目标都非常重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.