Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons

Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in an urban milieu. However, openly accessible building height information at the individual building level is still lacking and...
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Autor*in:	Bin Wu [verfasserIn] Hailan Huang [verfasserIn] Yi Zhao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	building height ICESat-2 building offset building shadow deep learning

Übergeordnetes Werk:	In: Remote Sensing - MDPI AG, 2009, 15(2023), 15, p 3786
Übergeordnetes Werk:	volume:15 ; year:2023 ; number:15, p 3786

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/rs15153786

Katalog-ID:	DOAJ093681003

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language	English
source	In Remote Sensing 15(2023), 15, p 3786 volume:15 year:2023 number:15, p 3786
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format_phy_str_mv	Article
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topic_facet	building height ICESat-2 building offset building shadow deep learning Science Q
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container_title	Remote Sensing
authorswithroles_txt_mv	Bin Wu @@aut@@ Hailan Huang @@aut@@ Yi Zhao @@aut@@
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author	Bin Wu
spellingShingle	Bin Wu misc building height misc ICESat-2 misc building offset misc building shadow misc deep learning misc Science misc Q Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons
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topic_title	Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons building height ICESat-2 building offset building shadow deep learning
topic	misc building height misc ICESat-2 misc building offset misc building shadow misc deep learning misc Science misc Q
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title	Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons
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title_full	Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons
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title_sort	utilizing building offset and shadow to retrieve urban building heights with icesat-2 photons
title_auth	Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons
abstract	Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in an urban milieu. However, openly accessible building height information at the individual building level is still lacking and remains sorely limited. Previous studies have shown that the ICESat-2′s ATL03/08 products are of good accuracy for urban building heights retrieval, however, these studies are limited to areas with available data coverage. To this end, we propose a method for extracting urban building height by using ICESat-2 ATL03 photons and high-resolution remote sensing images. We first extracted the information of building roof to footprint offsets and building shadows from high resolution imagery using multitasking CNN frameworks. Using the building height samples calculated from ICESat-2 ATL03 photons, we developed a building height estimation method that combines building offset and shadow length information. We assessed the efficacy of the proposed method in the Wujiaochang area of Shanghai city, China. The results indicated that the proposed method is able to extract building height with a MAE of 4.7 m, and outperforms the traditional shadow-based and offset-based method. We believe that the proposed method is a good candidate for accurately retrieving building heights on a city-wide scale.
abstractGer	Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in an urban milieu. However, openly accessible building height information at the individual building level is still lacking and remains sorely limited. Previous studies have shown that the ICESat-2′s ATL03/08 products are of good accuracy for urban building heights retrieval, however, these studies are limited to areas with available data coverage. To this end, we propose a method for extracting urban building height by using ICESat-2 ATL03 photons and high-resolution remote sensing images. We first extracted the information of building roof to footprint offsets and building shadows from high resolution imagery using multitasking CNN frameworks. Using the building height samples calculated from ICESat-2 ATL03 photons, we developed a building height estimation method that combines building offset and shadow length information. We assessed the efficacy of the proposed method in the Wujiaochang area of Shanghai city, China. The results indicated that the proposed method is able to extract building height with a MAE of 4.7 m, and outperforms the traditional shadow-based and offset-based method. We believe that the proposed method is a good candidate for accurately retrieving building heights on a city-wide scale.
abstract_unstemmed	Building height serves as an essential feature of urban morphology that provides valuable insights into human socio-cultural behaviors and their impact on the environment in an urban milieu. However, openly accessible building height information at the individual building level is still lacking and remains sorely limited. Previous studies have shown that the ICESat-2′s ATL03/08 products are of good accuracy for urban building heights retrieval, however, these studies are limited to areas with available data coverage. To this end, we propose a method for extracting urban building height by using ICESat-2 ATL03 photons and high-resolution remote sensing images. We first extracted the information of building roof to footprint offsets and building shadows from high resolution imagery using multitasking CNN frameworks. Using the building height samples calculated from ICESat-2 ATL03 photons, we developed a building height estimation method that combines building offset and shadow length information. We assessed the efficacy of the proposed method in the Wujiaochang area of Shanghai city, China. The results indicated that the proposed method is able to extract building height with a MAE of 4.7 m, and outperforms the traditional shadow-based and offset-based method. We believe that the proposed method is a good candidate for accurately retrieving building heights on a city-wide scale.
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title_short	Utilizing Building Offset and Shadow to Retrieve Urban Building Heights with ICESat-2 Photons
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