Improving post-fire GEDI canopy height accuracy and canopy height mapping through convolutional neural network model

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-07-12 DOI:10.1080/01431161.2024.2373344

Tsung-Chi Chou, Xuan Zhu, Ruth Reef

引用次数: 0

Abstract

The Global Ecosystem Dynamics Investigation (GEDI) LiDAR data have been widely used to measure tree canopy heights. However, due to the altered GEDI waveform geometry in the fire-consumed canopy la...

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通过卷积神经网络模型提高火灾后 GEDI 树冠高度的准确性并绘制树冠高度图

全球生态系统动力学调查（GEDI）激光雷达数据已被广泛用于测量树冠高度。然而，由于被火烧过的树冠层中的 GEDI 波形几何形状发生了改变...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).