Next Article in Journal
Models and Theoretical Analysis of SoOp Circular Polarization Bistatic Scattering for Random Rough Surface
Previous Article in Journal
A Novel Method Based on Backscattering for Discriminating Summer Blooms of the Raphidophyte (Chattonella spp.) and the Diatom (Skeletonema spp.) Using MODIS Images in Ariake Sea, Japan
Article

Mapping Seasonal Tree Canopy Cover and Leaf Area Using Worldview-2/3 Satellite Imagery: A Megacity-Scale Case Study in Tokyo Urban Area

1
Tokyo Metropolitan Research Institute for Environmental Protection, 1-7-5, Shinsuna, Koto-ku, Tokyo 136-0075, Japan
2
Department of Environmental and Life Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka 422-8526, Japan
3
NTT Data CCS Corporation, 4-12-1 Higashishinagawa, Shinagawa-ku, Tokyo 140-0002, Japan
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(9), 1505; https://doi.org/10.3390/rs12091505
Received: 17 March 2020 / Revised: 22 April 2020 / Accepted: 6 May 2020 / Published: 9 May 2020
(This article belongs to the Section Urban Remote Sensing)
This study presents a methodology for developing a high-resolution (2 m) urban tree canopy leaf area inventory in different tree phenological seasons and a subsequent application of the methodology to a 625 km2 urban area in Tokyo. Satellite remote sensing has the advantage of imaging large areas simultaneously. However, mapping the tree canopy cover and leaf area accurately is still difficult in a highly heterogeneous urban landscape. The WorldView-2/3 satellite imagery at the individual tree level (2 m resolution) was used to map urban trees based on a simple pixel-based classification method. The comparison of our mapping results with the tree canopy cover derived from aerial photography shows that the error margin is within an acceptable range of 5.5% at the 3.0 km2 small district level, 5.0% at the 60.9 km2 municipality level, and 1.2% at the 625 km2 city level. Furthermore, we investigated the relationship between the satellite data (vegetation index) and in situ tree-measurement data (leaf area index) to develop a simple model to directly map the tree leaf area from the WorldView-2/3 imagery. The estimated total leaf area in Tokyo urban area in the leaf-on season (633 km2) was twice that of the leaf-off season (319 km2). Our results also showed that the estimated total leaf area in Tokyo urban area was 1.9–6.2 times higher than the results of the moderate-resolution (30 m) satellite imagery. View Full-Text
Keywords: urban forest; tree canopy cover; ecosystem services; satellite imagery; WorldView-2/3; aerial photography; leaf area index; vegetation index; megacity urban forest; tree canopy cover; ecosystem services; satellite imagery; WorldView-2/3; aerial photography; leaf area index; vegetation index; megacity
Show Figures

Graphical abstract

MDPI and ACS Style

Kokubu, Y.; Hara, S.; Tani, A. Mapping Seasonal Tree Canopy Cover and Leaf Area Using Worldview-2/3 Satellite Imagery: A Megacity-Scale Case Study in Tokyo Urban Area. Remote Sens. 2020, 12, 1505. https://doi.org/10.3390/rs12091505

AMA Style

Kokubu Y, Hara S, Tani A. Mapping Seasonal Tree Canopy Cover and Leaf Area Using Worldview-2/3 Satellite Imagery: A Megacity-Scale Case Study in Tokyo Urban Area. Remote Sensing. 2020; 12(9):1505. https://doi.org/10.3390/rs12091505

Chicago/Turabian Style

Kokubu, Yutaka, Seiichi Hara, and Akira Tani. 2020. "Mapping Seasonal Tree Canopy Cover and Leaf Area Using Worldview-2/3 Satellite Imagery: A Megacity-Scale Case Study in Tokyo Urban Area" Remote Sensing 12, no. 9: 1505. https://doi.org/10.3390/rs12091505

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop