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通过遥感技术绘制与实地无关的人工林碳地图并进行量化

IF 3.7 4区 地球科学 Q2 REMOTE SENSING
European Journal of Remote Sensing Pub Date : 2024-04-09 DOI:10.1080/22797254.2024.2334717
Saverio Francini, Elia Vangi, Giovanni D’Amico, Costanza Borghi, Guido Cencini, Cecilia Monari, Catherine Zolli, Gherardo Chirici
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引用次数: 0

摘要

量化人工林的碳储量贡献是一个至关重要但又极具挑战性且成本高昂的过程，通常需要通过实地分析来完成。因此，人工林的碳储存量必须得到量化。
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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Field-independent carbon mapping and quantification in forest plantation through remote sensing
Quantifying the carbon-stocking contribution of forest plantations is a crucial but challenging and expensive process, usually performed through field analysis. For this reason, plantations’ carbon...
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来源期刊
European Journal of Remote Sensing
European Journal of Remote Sensing REMOTE SENSING-
CiteScore
7.00
自引率
2.50%
发文量
51
审稿时长
>12 weeks
期刊介绍： European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.
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