TROPICAL FOREST CANOPY STRUCTURE AND CHANGE ASSESSMENT USING LANDSAT, GEDI, AND AIRBORNE LIDAR DATA

被引：0

作者：

Potapov, Peter ^{[1
]}

Li, Xinyuan ^{[1
]}

Hernandez-Serna, Andres ^{[1
]}

Turubanova, Svetlana ^{[1
]}

Tyukavina, Alexandra ^{[1
]}

Hansen, Matthew C. ^{[1
]}

Tang, Hao ^{[1
]}

Quyen Hanh Nguyen ^{[2
]}

机构：

[1] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA

[2] SERVIR Mekong, Bangkok, Thailand

来源：

2021 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM IGARSS | 2021年

关键词：

forest height; canopy cover; forest monitoring; time-series; GEDI; Landsat; lidar; HEIGHT;

D O I：

10.1109/IGARSS47720.2021.9554814

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Spatiotemporally consistent multidecadal data on forest extent and structure is the key for quantifying carbon storage, GHG emissions, degradation, and recovery of tropical forests. Consistently processed long-term Landsat data record is the only tool that enables such capacity. Here, we prototyped regional-level 2000-2019 forest structure monitoring and pantropical forest structure mapping for the year 2019 through the integration of the Landsat analysis-ready data with airborne lidar and Global Ecosystem Dynamics Investigation (GEDI) data. The presented approach can support the data needs of many global, regional, and national climate change mitigation and sustainable development initiatives.

引用

页码：666 / 669

页数：4

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