Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-08-27 DOI:10.1080/15481603.2024.2396807

Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li

引用次数: 0

Abstract

Forest canopy height (FCH) is one of the most important variables for carbon stock estimation. While many studies have focused on extracting FCH from spaceborne LiDAR in regions with spatially cont...

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通过对 ICESat-2 ATLAS 和 GEDI 数据进行再处理，改进对森林稀疏的平原地区林冠高度的提取

森林冠层高度（FCH）是碳储量估算中最重要的变量之一。虽然许多研究都侧重于从空间分布不均的地区的空间激光雷达中提取森林冠层高度（FCH）。

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.