A 3D approach to reconstruct continuous optical images using lidar and MODIS

HuaGuo Huang; Jun Lian

doi:10.1186/s40663-015-0044-5

Forest Ecosystems 2015, 2(3): 20 https://doi.org/10.1186/s40663-015-0044-5

Research Article |

Open Access | Issue | Published: 26 June 2015

A 3D approach to reconstruct continuous optical images using lidar and MODIS

Show Author's Information Hide Author's Information HuaGuo Huang(

), Jun Lian

Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China

Keywords:

Optical, High resolution, Lidar, Temporal interpolation, 3D model

Cite this article:

Huang H, Lian J. A 3D approach to reconstruct continuous optical images using lidar and MODIS. Forest Ecosystems, 2015, 2(3): 20. https://doi.org/10.1186/s40663-015-0044-5

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Abstract Full text About this article

Abstract

Background

Monitoring forest health and biomass for changes over time in the global environment requires the provision of continuous satellite images. However,optical images of land surfaces are generally contaminated when clouds are present or rain occurs.

Methods

To estimate the actual reflectance of land surfaces masked by clouds and potential rain,3D simulations by the RAPID radiative transfer model were proposed and conducted on a forest farm dominated by birch and larch in Genhe City,DaXing'AnLing Mountain in Inner Mongolia,China. The canopy height model (CHM) from lidar data were used to extract individual tree structures (location,height,crown width). Field measurements related tree height to diameter of breast height (DBH),lowest branch height and leaf area index (LAI). Series of Landsat images were used to classify tree species and land cover. MODIS LAI products were used to estimate the LAI of individual trees. Combining all these input variables to drive RAPID,high-resolution optical remote sensing images were simulated and validated with available satellite images.

Results

Evaluations on spatial texture,spectral values and directional reflectance were conducted to show comparable results.

Conclusions

The study provides a proof-of-concept approach to link lidar and MODIS data in the parameterization of RAPID models for high temporal and spatial resolutions of image reconstruction in forest dominated areas.

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Abstract

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About this article

A 3D approach to reconstruct continuous optical images using lidar and MODIS

Show Author's information Hide Author's Information HuaGuo Huang(

), Jun Lian

Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing, China

Abstract

Background

Methods

Results

Evaluations on spatial texture,spectral values and directional reflectance were conducted to show comparable results.

Conclusions

Keywords: Optical, High resolution, Lidar, Temporal interpolation, 3D model

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Publication history

Received: 28 February 2015

Accepted: 18 June 2015

Published: 26 June 2015

Issue date: September 2015

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Acknowledgements

The authors gratefully acknowledge the Chinese National Basic Research Program (2013CB733401) and the Chinese Natural Science Foundation Project (41171278).

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This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.