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On February 7, 2022 at 2:50:44 PM UTC, Chunhong Zhao:
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f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"publication\"], \"email\": \"chunhong.zhao@wsl.ch\", \"given_name\": | 4 | \"publication\"], \"email\": \"chunhong.zhao@wsl.ch\", \"given_name\": | ||
5 | \"Chunhong\", \"identifier\": \"\", \"name\": \"Zhao \"}]", | 5 | \"Chunhong\", \"identifier\": \"\", \"name\": \"Zhao \"}]", | ||
6 | "author_email": null, | 6 | "author_email": null, | ||
7 | "creator_user_id": "643606d8-3461-4df9-86d0-71c659477af9", | 7 | "creator_user_id": "643606d8-3461-4df9-86d0-71c659477af9", | ||
8 | "date": "[{\"date\": \"2020-02-01\", \"date_type\": \"collected\", | 8 | "date": "[{\"date\": \"2020-02-01\", \"date_type\": \"collected\", | ||
9 | \"end_date\": \"2021-01-01\"}]", | 9 | \"end_date\": \"2021-01-01\"}]", | ||
10 | "doi": "10.16904/envidat.283", | 10 | "doi": "10.16904/envidat.283", | ||
11 | "funding": "[{\"grant_number\": \"BSCGIO 157789\", \"institution\": | 11 | "funding": "[{\"grant_number\": \"BSCGIO 157789\", \"institution\": | ||
12 | \"Swiss National Science Foundation\", \"institution_url\": \"\"}]", | 12 | \"Swiss National Science Foundation\", \"institution_url\": \"\"}]", | ||
13 | "groups": [], | 13 | "groups": [], | ||
14 | "id": "f4981dfc-586b-4087-aae6-28263b067c26", | 14 | "id": "f4981dfc-586b-4087-aae6-28263b067c26", | ||
15 | "isopen": true, | 15 | "isopen": true, | ||
16 | "language": "en", | 16 | "language": "en", | ||
17 | "license_id": "CC0-1.0", | 17 | "license_id": "CC0-1.0", | ||
18 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | 18 | "license_title": "Creative Commons Zero - No Rights Reserved (CC0 | ||
19 | 1.0)", | 19 | 1.0)", | ||
20 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | 20 | "license_url": "https://creativecommons.org/publicdomain/zero/1.0/", | ||
21 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 21 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
22 | \"chunhong.zhao@wsl.ch\", \"given_name\": \"Chunhong\", | 22 | \"chunhong.zhao@wsl.ch\", \"given_name\": \"Chunhong\", | ||
23 | \"identifier\": \"\", \"name\": \"Zhao \"}", | 23 | \"identifier\": \"\", \"name\": \"Zhao \"}", | ||
24 | "maintainer_email": null, | 24 | "maintainer_email": null, | ||
25 | "metadata_created": "2022-02-04T09:13:07.637285", | 25 | "metadata_created": "2022-02-04T09:13:07.637285", | ||
t | 26 | "metadata_modified": "2022-02-07T14:50:26.261788", | t | 26 | "metadata_modified": "2022-02-07T14:50:44.034526", |
27 | "name": | 27 | "name": | ||
28 | "land-use-cover-dynamics-in-austin-metropolitan-area-since-1992", | 28 | "land-use-cover-dynamics-in-austin-metropolitan-area-since-1992", | ||
29 | "notes": "The present dataset is part of the published scientific | 29 | "notes": "The present dataset is part of the published scientific | ||
30 | paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban | 30 | paper Zhao C, Weng Q, Hersperger A M. Characterizing the 3-D urban | ||
31 | morphology transformation to understand urban-form dynamics: a case | 31 | morphology transformation to understand urban-form dynamics: a case | ||
32 | study of Austin, Texas, USA. Landscape and urban planning, 2020, | 32 | study of Austin, Texas, USA. Landscape and urban planning, 2020, | ||
33 | 203:103881. The overall objective of this paper is to understand urban | 33 | 203:103881. The overall objective of this paper is to understand urban | ||
34 | form dynamics in the Austin metropolitan area for the periods | 34 | form dynamics in the Austin metropolitan area for the periods | ||
35 | 2006\u20132011 and 2011\u20132016. The study also aims to understand | 35 | 2006\u20132011 and 2011\u20132016. The study also aims to understand | ||
36 | to what extent the changes in the built environment (in terms of | 36 | to what extent the changes in the built environment (in terms of | ||
37 | \u2018efficient growth\u2019 versus \u2018inefficient growth\u2019) | 37 | \u2018efficient growth\u2019 versus \u2018inefficient growth\u2019) | ||
38 | from the 1990s to 2016 in the Austin metropolitan area corresponded | 38 | from the 1990s to 2016 in the Austin metropolitan area corresponded | ||
39 | with \u2018compact and efficient growth\u2019 planning policy | 39 | with \u2018compact and efficient growth\u2019 planning policy | ||
40 | documents. The UMT distribution can be found in the paper. The area of | 40 | documents. The UMT distribution can be found in the paper. The area of | ||
41 | transitioning UMT was provided in Table 2 and Table 3 can be found in | 41 | transitioning UMT was provided in Table 2 and Table 3 can be found in | ||
42 | the Appendix of the paper. A protocol was developed to perform the | 42 | the Appendix of the paper. A protocol was developed to perform the | ||
43 | content analysis of the strategic plans and gather the data. The | 43 | content analysis of the strategic plans and gather the data. The | ||
44 | detailed list of protocol items can be found in Appendix B of the | 44 | detailed list of protocol items can be found in Appendix B of the | ||
45 | paper. This study demonstrates the advantage of applying Lidar data to | 45 | paper. This study demonstrates the advantage of applying Lidar data to | ||
46 | characterize 3-D urban morphology type (UMT) transition and understand | 46 | characterize 3-D urban morphology type (UMT) transition and understand | ||
47 | its dynamics, which helps develop a comprehensive understanding of the | 47 | its dynamics, which helps develop a comprehensive understanding of the | ||
48 | urbanization process and provides a tool for planning intentions and | 48 | urbanization process and provides a tool for planning intentions and | ||
49 | policies evaluation on urban development over time. The UMT maps can | 49 | policies evaluation on urban development over time. The UMT maps can | ||
50 | be found in Appendix A of the paper. The Lidar point datasets and the | 50 | be found in Appendix A of the paper. The Lidar point datasets and the | ||
51 | 30 \u00d7 30 m National Land Cover Database (NLCD) are the two main | 51 | 30 \u00d7 30 m National Land Cover Database (NLCD) are the two main | ||
52 | data sources of UMT mapping. Lidar datasets were gathered from | 52 | data sources of UMT mapping. Lidar datasets were gathered from | ||
53 | different projects that had been conducted and collected by state | 53 | different projects that had been conducted and collected by state | ||
54 | agencies and other organizations between 2007 and 2017. Table A1 in | 54 | agencies and other organizations between 2007 and 2017. Table A1 in | ||
55 | the appendix in the paper shows the accuracies and acquisition | 55 | the appendix in the paper shows the accuracies and acquisition | ||
56 | parameters of the Lidar projects from 2007 to 2017. Land use/cover | 56 | parameters of the Lidar projects from 2007 to 2017. Land use/cover | ||
57 | dynamics in Austin metropolitan area dataset provides Land use/cover | 57 | dynamics in Austin metropolitan area dataset provides Land use/cover | ||
58 | patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 | 58 | patterns in the years 1992, 2001, 2004, 2006, 2008, 2011, 2013, 2016 | ||
59 | with a spatial resolution of 30 meters. Since NLCD 1992 used a | 59 | with a spatial resolution of 30 meters. Since NLCD 1992 used a | ||
60 | different classification system for the urban land classes, we first | 60 | different classification system for the urban land classes, we first | ||
61 | reclassified the NLCD 1992 using a customized Arcpy package.", | 61 | reclassified the NLCD 1992 using a customized Arcpy package.", | ||
62 | "num_resources": 1, | 62 | "num_resources": 1, | ||
63 | "num_tags": 5, | 63 | "num_tags": 5, | ||
64 | "organization": { | 64 | "organization": { | ||
65 | "approval_status": "approved", | 65 | "approval_status": "approved", | ||
66 | "created": "2019-01-16T10:05:56.219606", | 66 | "created": "2019-01-16T10:05:56.219606", | ||
67 | "description": "The land-use systems group studies landscape | 67 | "description": "The land-use systems group studies landscape | ||
68 | patterns and processes and their changes over time. We focus on | 68 | patterns and processes and their changes over time. We focus on | ||
69 | cultural landscapes and their multifunctionality while conducting | 69 | cultural landscapes and their multifunctionality while conducting | ||
70 | research in the following topics:\r\n\r\n- Development of models for | 70 | research in the following topics:\r\n\r\n- Development of models for | ||
71 | simulating future landscape dynamics and for estimating the resulting | 71 | simulating future landscape dynamics and for estimating the resulting | ||
72 | landscape services;\r\n- Application and further development of | 72 | landscape services;\r\n- Application and further development of | ||
73 | landscape genetic methods and theories;\r\n- Analysis of historical | 73 | landscape genetic methods and theories;\r\n- Analysis of historical | ||
74 | changes in ecosystems and landscapes (focus on the past 100 to 250 | 74 | changes in ecosystems and landscapes (focus on the past 100 to 250 | ||
75 | years);\r\n- Analysis of ecological implications of landscape and | 75 | years);\r\n- Analysis of ecological implications of landscape and | ||
76 | ecosystem changes in the context of the field of historical | 76 | ecosystem changes in the context of the field of historical | ||
77 | ecology;\r\n- Analysis of actors, driving forces, and land change and | 77 | ecology;\r\n- Analysis of actors, driving forces, and land change and | ||
78 | their interaction to understand the causes of landscape change\r\n- | 78 | their interaction to understand the causes of landscape change\r\n- | ||
79 | Contributing to the further development of landscape planning, based, | 79 | Contributing to the further development of landscape planning, based, | ||
80 | for example, on conflict analysis and the evaluation of planning | 80 | for example, on conflict analysis and the evaluation of planning | ||
81 | instruments. \r\n\r\nThe landscape ecology group combines methods and | 81 | instruments. \r\n\r\nThe landscape ecology group combines methods and | ||
82 | theories from natural sciences and social sciences on spatial scales | 82 | theories from natural sciences and social sciences on spatial scales | ||
83 | from single ecosystems to continents. We are equally committed to | 83 | from single ecosystems to continents. We are equally committed to | ||
84 | theory development and innovative applications.", | 84 | theory development and innovative applications.", | ||
85 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 85 | "id": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
86 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | 86 | "image_url": "2019-01-16-090556.2007782000px-LogoWSL.svg.png", | ||
87 | "is_organization": true, | 87 | "is_organization": true, | ||
88 | "name": "land-use-systems", | 88 | "name": "land-use-systems", | ||
89 | "state": "active", | 89 | "state": "active", | ||
90 | "title": "Land-use systems", | 90 | "title": "Land-use systems", | ||
91 | "type": "organization" | 91 | "type": "organization" | ||
92 | }, | 92 | }, | ||
93 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | 93 | "owner_org": "ecfa6cd4-9e88-4bba-b815-bd177d84ae11", | ||
94 | "private": false, | 94 | "private": false, | ||
95 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 95 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
96 | \"EnviDat\"}", | 96 | \"EnviDat\"}", | ||
97 | "publication_state": "published", | 97 | "publication_state": "published", | ||
98 | "related_datasets": "", | 98 | "related_datasets": "", | ||
99 | "related_publications": "Zhao, C., Weng, Q., & Hersperger, A. M. | 99 | "related_publications": "Zhao, C., Weng, Q., & Hersperger, A. M. | ||
100 | (2020). Characterizing the 3-D urban morphology transformation to | 100 | (2020). Characterizing the 3-D urban morphology transformation to | ||
101 | understand urban-form dynamics: A case study of Austin, Texas, USA. | 101 | understand urban-form dynamics: A case study of Austin, Texas, USA. | ||
102 | Landscape and Urban Planning, 203, 103881.", | 102 | Landscape and Urban Planning, 203, 103881.", | ||
103 | "relationships_as_object": [], | 103 | "relationships_as_object": [], | ||
104 | "relationships_as_subject": [], | 104 | "relationships_as_subject": [], | ||
105 | "resource_type": "dataset", | 105 | "resource_type": "dataset", | ||
106 | "resource_type_general": "dataset", | 106 | "resource_type_general": "dataset", | ||
107 | "resources": [ | 107 | "resources": [ | ||
108 | { | 108 | { | ||
109 | "cache_last_updated": null, | 109 | "cache_last_updated": null, | ||
110 | "cache_url": null, | 110 | "cache_url": null, | ||
111 | "created": "2022-02-04T09:16:22.256221", | 111 | "created": "2022-02-04T09:16:22.256221", | ||
112 | "description": "", | 112 | "description": "", | ||
113 | "doi": "", | 113 | "doi": "", | ||
114 | "format": "img", | 114 | "format": "img", | ||
115 | "hash": "", | 115 | "hash": "", | ||
116 | "id": "30ee8314-458d-485f-b046-62ccfc47007e", | 116 | "id": "30ee8314-458d-485f-b046-62ccfc47007e", | ||
117 | "last_modified": "2022-02-07T11:06:19.366249", | 117 | "last_modified": "2022-02-07T11:06:19.366249", | ||
118 | "metadata_modified": "2022-02-07T10:06:19.748456", | 118 | "metadata_modified": "2022-02-07T10:06:19.748456", | ||
119 | "mimetype": null, | 119 | "mimetype": null, | ||
120 | "mimetype_inner": null, | 120 | "mimetype_inner": null, | ||
121 | "name": "Land use dynamics in Austin since 1992", | 121 | "name": "Land use dynamics in Austin since 1992", | ||
122 | "package_id": "f4981dfc-586b-4087-aae6-28263b067c26", | 122 | "package_id": "f4981dfc-586b-4087-aae6-28263b067c26", | ||
123 | "position": 0, | 123 | "position": 0, | ||
124 | "publication_state": "", | 124 | "publication_state": "", | ||
125 | "resource_size": "{\"size_value\": \"\", \"size_units\": | 125 | "resource_size": "{\"size_value\": \"\", \"size_units\": | ||
126 | \"kb\"}", | 126 | \"kb\"}", | ||
127 | "resource_type": null, | 127 | "resource_type": null, | ||
128 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | 128 | "restricted": "{\"level\": \"public\", \"allowed_users\": \"\", | ||
129 | \"shared_secret\": \"\"}", | 129 | \"shared_secret\": \"\"}", | ||
130 | "size": 8364072, | 130 | "size": 8364072, | ||
131 | "state": "active", | 131 | "state": "active", | ||
132 | "url": | 132 | "url": | ||
133 | 046-62ccfc47007e/download/land-use-dynamics-in-austin-since-1992.zip", | 133 | 046-62ccfc47007e/download/land-use-dynamics-in-austin-since-1992.zip", | ||
134 | "url_type": "upload" | 134 | "url_type": "upload" | ||
135 | } | 135 | } | ||
136 | ], | 136 | ], | ||
137 | "spatial": | 137 | "spatial": | ||
138 | ":\"Point\",\"coordinates\":[-97.70141668617725,30.373270317204096]}", | 138 | ":\"Point\",\"coordinates\":[-97.70141668617725,30.373270317204096]}", | ||
139 | "spatial_info": "", | 139 | "spatial_info": "", | ||
140 | "state": "active", | 140 | "state": "active", | ||
141 | "subtitle": "", | 141 | "subtitle": "", | ||
142 | "tags": [ | 142 | "tags": [ | ||
143 | { | 143 | { | ||
144 | "display_name": "AUSTIN", | 144 | "display_name": "AUSTIN", | ||
145 | "id": "948a4f8c-6d06-4475-93fd-13ba5a56b3a5", | 145 | "id": "948a4f8c-6d06-4475-93fd-13ba5a56b3a5", | ||
146 | "name": "AUSTIN", | 146 | "name": "AUSTIN", | ||
147 | "state": "active", | 147 | "state": "active", | ||
148 | "vocabulary_id": null | 148 | "vocabulary_id": null | ||
149 | }, | 149 | }, | ||
150 | { | 150 | { | ||
151 | "display_name": "LAND DYNAMICS", | 151 | "display_name": "LAND DYNAMICS", | ||
152 | "id": "ee4f16d1-3881-44f6-9b46-d2483ebce07d", | 152 | "id": "ee4f16d1-3881-44f6-9b46-d2483ebce07d", | ||
153 | "name": "LAND DYNAMICS", | 153 | "name": "LAND DYNAMICS", | ||
154 | "state": "active", | 154 | "state": "active", | ||
155 | "vocabulary_id": null | 155 | "vocabulary_id": null | ||
156 | }, | 156 | }, | ||
157 | { | 157 | { | ||
158 | "display_name": "LAND USE", | 158 | "display_name": "LAND USE", | ||
159 | "id": "ae498dd0-bef7-4e01-bd3b-8ce534a714ec", | 159 | "id": "ae498dd0-bef7-4e01-bd3b-8ce534a714ec", | ||
160 | "name": "LAND USE", | 160 | "name": "LAND USE", | ||
161 | "state": "active", | 161 | "state": "active", | ||
162 | "vocabulary_id": null | 162 | "vocabulary_id": null | ||
163 | }, | 163 | }, | ||
164 | { | 164 | { | ||
165 | "display_name": "LANDSCAPE", | 165 | "display_name": "LANDSCAPE", | ||
166 | "id": "dab59a25-e978-42e7-8d0b-5a02a7b49a23", | 166 | "id": "dab59a25-e978-42e7-8d0b-5a02a7b49a23", | ||
167 | "name": "LANDSCAPE", | 167 | "name": "LANDSCAPE", | ||
168 | "state": "active", | 168 | "state": "active", | ||
169 | "vocabulary_id": null | 169 | "vocabulary_id": null | ||
170 | }, | 170 | }, | ||
171 | { | 171 | { | ||
172 | "display_name": "URBAN MORPHOLOGY", | 172 | "display_name": "URBAN MORPHOLOGY", | ||
173 | "id": "c821345d-d7b9-4ee6-a2de-acdc085fcff4", | 173 | "id": "c821345d-d7b9-4ee6-a2de-acdc085fcff4", | ||
174 | "name": "URBAN MORPHOLOGY", | 174 | "name": "URBAN MORPHOLOGY", | ||
175 | "state": "active", | 175 | "state": "active", | ||
176 | "vocabulary_id": null | 176 | "vocabulary_id": null | ||
177 | } | 177 | } | ||
178 | ], | 178 | ], | ||
179 | "title": "Land use/cover dynamics in Austin metropolitan area since | 179 | "title": "Land use/cover dynamics in Austin metropolitan area since | ||
180 | 1992", | 180 | 1992", | ||
181 | "type": "dataset", | 181 | "type": "dataset", | ||
182 | "url": null, | 182 | "url": null, | ||
183 | "version": "1.0" | 183 | "version": "1.0" | ||
184 | } | 184 | } |