Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring : methods & applications

High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Berger, Christian - 1985- [verfasserIn]
Körperschaften:	Friedrich-Schiller-Universität Jena [Grad-verleihende Institution]
Hochschulschrift:	Dissertation ; Friedrich-Schiller-Universität ; 2017

Format:	E-Book
Sprache:	Englisch

Erschienen:	Jena: 2017

Formangabe:	Hochschulschrift

Anmerkung:	Kumulative Dissertation, enthält Zeitschriftenaufsätze
Umfang:	Online-Ressource (176 Seiten) ; Illustrationen, Diagramme

Weitere Ausgabe:	Erscheint auch als Druck-Ausgabe Berger, Christian, 1985 -: Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring - Jena, 2017

Links:	Link aufrufen Link aufrufen Volltext Volltext Volltext

DOI / URN:	urn:nbn:de:gbv:27-dbt-20170811-0931344

Katalog-ID:	895455919

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topic_title	710 DE-101 38.03 bkl 43.11 bkl 74.12 bkl 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications von Christian Berger
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title_sort	fusion of high spatial resolution multispectral & object height data for urban environmental monitoringmethods & applications
title_auth	Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications
abstract	High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Kumulative Dissertation, enthält Zeitschriftenaufsätze
abstractGer	High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Kumulative Dissertation, enthält Zeitschriftenaufsätze
abstract_unstemmed	High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Kumulative Dissertation, enthält Zeitschriftenaufsätze
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The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Zusammenfassungen in deutscher und englischer Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Berger, Christian, 1985 - Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring Jena, 2017 xxiv, 152 Seiten (DE-627)895265613 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 Langzeitarchivierung Resolving-System kostenfrei https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20170811-0931344 2019-08-23 Resolving-System Volltext http://d-nb.info/1177597705/34 2019-08-23 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/receive/dbt_mods_00032761 2019-08-23 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2403 ISIL_DE-LFER 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.11 Umweltüberwachung SEPA (DE-627)106408283 74.12 Stadtgeographie Siedlungsgeographie SEPA (DE-627)106420968 BO 20 01 0084 3559447690 x 08-12-19 21 01 0046 3559656672 z 08-12-19 22 01 0018 3559105560 SUBolrd xu 08-12-19 23 01 0830 3559863597 olr-d x 08-12-19 30 01 0104 3560007178 z 08-12-19 31 01 0027 1707265038 z 11-08-17 40 01 0007 3560134838 xsn 08-12-19 60 01 0705 3560339707 OLRD z 08-12-19 63 01 3401 3560556392 ORD x 08-12-19 65 01 0003 4168026965 GBV-ODiss Open Access z 17-07-22 70 01 0089 3560675774 zdt 08-12-19 105 01 0841 3561726488 z 09-12-19 110 01 3110 356081667X x 08-12-19 132 01 0959 3560962978 OLR-DISS x 08-12-19 151 01 0546 3583680510 OLR-ODISS z 31-01-20 161 01 0960 3561170307 ORD z 08-12-19 213 01 0551 3561313221 ORD x 08-12-19 293 01 3293 3561575048 ORD z 08-12-19 370 01 4370 3561710468 x 09-12-19 2403 01 DE-LFER 3496782617 00 --%%-- --%%-- n --%%-- l01 24-07-19 20 01 0084 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 2403 01 DE-LFER http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2019-12-08:20:42:01
spelling	1177597705 DE-101 urn:nbn:de:gbv:27-dbt-20170811-0931344 urn (DE-627)895455919 (DE-576)9895455917 (DE-599)GBV895455919 (OCoLC)1000345794 DE-627 ger DE-627 rda eng XA-DE-TH 710 DE-101 38.03 bkl 43.11 bkl 74.12 bkl Berger, Christian 1985- verfasserin (DE-588)1137893044 (DE-627)895198460 (DE-576)491864426 aut Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications von Christian Berger Jena 2017 Online-Ressource (176 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Kumulative Dissertation, enthält Zeitschriftenaufsätze Dissertation Friedrich-Schiller-Universität 2017 High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Zusammenfassungen in deutscher und englischer Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Berger, Christian, 1985 - Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring Jena, 2017 xxiv, 152 Seiten (DE-627)895265613 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 Langzeitarchivierung Resolving-System kostenfrei https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20170811-0931344 2019-08-23 Resolving-System Volltext http://d-nb.info/1177597705/34 2019-08-23 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/receive/dbt_mods_00032761 2019-08-23 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2403 ISIL_DE-LFER 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.11 Umweltüberwachung SEPA (DE-627)106408283 74.12 Stadtgeographie Siedlungsgeographie SEPA (DE-627)106420968 BO 20 01 0084 3559447690 x 08-12-19 21 01 0046 3559656672 z 08-12-19 22 01 0018 3559105560 SUBolrd xu 08-12-19 23 01 0830 3559863597 olr-d x 08-12-19 30 01 0104 3560007178 z 08-12-19 31 01 0027 1707265038 z 11-08-17 40 01 0007 3560134838 xsn 08-12-19 60 01 0705 3560339707 OLRD z 08-12-19 63 01 3401 3560556392 ORD x 08-12-19 65 01 0003 4168026965 GBV-ODiss Open Access z 17-07-22 70 01 0089 3560675774 zdt 08-12-19 105 01 0841 3561726488 z 09-12-19 110 01 3110 356081667X x 08-12-19 132 01 0959 3560962978 OLR-DISS x 08-12-19 151 01 0546 3583680510 OLR-ODISS z 31-01-20 161 01 0960 3561170307 ORD z 08-12-19 213 01 0551 3561313221 ORD x 08-12-19 293 01 3293 3561575048 ORD z 08-12-19 370 01 4370 3561710468 x 09-12-19 2403 01 DE-LFER 3496782617 00 --%%-- --%%-- n --%%-- l01 24-07-19 20 01 0084 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 2403 01 DE-LFER http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2019-12-08:20:42:01
allfields_unstemmed	1177597705 DE-101 urn:nbn:de:gbv:27-dbt-20170811-0931344 urn (DE-627)895455919 (DE-576)9895455917 (DE-599)GBV895455919 (OCoLC)1000345794 DE-627 ger DE-627 rda eng XA-DE-TH 710 DE-101 38.03 bkl 43.11 bkl 74.12 bkl Berger, Christian 1985- verfasserin (DE-588)1137893044 (DE-627)895198460 (DE-576)491864426 aut Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications von Christian Berger Jena 2017 Online-Ressource (176 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Kumulative Dissertation, enthält Zeitschriftenaufsätze Dissertation Friedrich-Schiller-Universität 2017 High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Zusammenfassungen in deutscher und englischer Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Berger, Christian, 1985 - Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring Jena, 2017 xxiv, 152 Seiten (DE-627)895265613 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 Langzeitarchivierung Resolving-System kostenfrei https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20170811-0931344 2019-08-23 Resolving-System Volltext http://d-nb.info/1177597705/34 2019-08-23 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/receive/dbt_mods_00032761 2019-08-23 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2403 ISIL_DE-LFER 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.11 Umweltüberwachung SEPA (DE-627)106408283 74.12 Stadtgeographie Siedlungsgeographie SEPA (DE-627)106420968 BO 20 01 0084 3559447690 x 08-12-19 21 01 0046 3559656672 z 08-12-19 22 01 0018 3559105560 SUBolrd xu 08-12-19 23 01 0830 3559863597 olr-d x 08-12-19 30 01 0104 3560007178 z 08-12-19 31 01 0027 1707265038 z 11-08-17 40 01 0007 3560134838 xsn 08-12-19 60 01 0705 3560339707 OLRD z 08-12-19 63 01 3401 3560556392 ORD x 08-12-19 65 01 0003 4168026965 GBV-ODiss Open Access z 17-07-22 70 01 0089 3560675774 zdt 08-12-19 105 01 0841 3561726488 z 09-12-19 110 01 3110 356081667X x 08-12-19 132 01 0959 3560962978 OLR-DISS x 08-12-19 151 01 0546 3583680510 OLR-ODISS z 31-01-20 161 01 0960 3561170307 ORD z 08-12-19 213 01 0551 3561313221 ORD x 08-12-19 293 01 3293 3561575048 ORD z 08-12-19 370 01 4370 3561710468 x 09-12-19 2403 01 DE-LFER 3496782617 00 --%%-- --%%-- n --%%-- l01 24-07-19 20 01 0084 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 2403 01 DE-LFER http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2019-12-08:20:42:01
allfieldsGer	1177597705 DE-101 urn:nbn:de:gbv:27-dbt-20170811-0931344 urn (DE-627)895455919 (DE-576)9895455917 (DE-599)GBV895455919 (OCoLC)1000345794 DE-627 ger DE-627 rda eng XA-DE-TH 710 DE-101 38.03 bkl 43.11 bkl 74.12 bkl Berger, Christian 1985- verfasserin (DE-588)1137893044 (DE-627)895198460 (DE-576)491864426 aut Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications von Christian Berger Jena 2017 Online-Ressource (176 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Kumulative Dissertation, enthält Zeitschriftenaufsätze Dissertation Friedrich-Schiller-Universität 2017 High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. 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allfieldsSound	1177597705 DE-101 urn:nbn:de:gbv:27-dbt-20170811-0931344 urn (DE-627)895455919 (DE-576)9895455917 (DE-599)GBV895455919 (OCoLC)1000345794 DE-627 ger DE-627 rda eng XA-DE-TH 710 DE-101 38.03 bkl 43.11 bkl 74.12 bkl Berger, Christian 1985- verfasserin (DE-588)1137893044 (DE-627)895198460 (DE-576)491864426 aut Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring methods & applications von Christian Berger Jena 2017 Online-Ressource (176 Seiten) Illustrationen, Diagramme Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Kumulative Dissertation, enthält Zeitschriftenaufsätze Dissertation Friedrich-Schiller-Universität 2017 High spatial resolution (HSR) multispectral and object height data are becoming increasingly available in the urbanized regions of the world. The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. The latter determined the practical agenda of this work, comprising an overall number of four studies. Zusammenfassungen in deutscher und englischer Sprache Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content Friedrich-Schiller-Universität Jena Grad-verleihende Institution (DE-588)36164-1 (DE-627)100833012 (DE-576)190344695 dgg Jena (DE-588)4028557-1 (DE-627)104814411 (DE-576)208977872 uvp Erscheint auch als Druck-Ausgabe Berger, Christian, 1985 - Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring Jena, 2017 xxiv, 152 Seiten (DE-627)895265613 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 Langzeitarchivierung Resolving-System kostenfrei https://nbn-resolving.org/urn:nbn:de:gbv:27-dbt-20170811-0931344 2019-08-23 Resolving-System Volltext http://d-nb.info/1177597705/34 2019-08-23 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/receive/dbt_mods_00032761 2019-08-23 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP GBV_ILN_21 ISIL_DE-46 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_132 ISIL_DE-959 GBV_ILN_151 ISIL_DE-546 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2403 ISIL_DE-LFER 38.03 Methoden und Techniken der Geowissenschaften SEPA (DE-627)106411284 43.11 Umweltüberwachung SEPA (DE-627)106408283 74.12 Stadtgeographie Siedlungsgeographie SEPA (DE-627)106420968 BO 20 01 0084 3559447690 x 08-12-19 21 01 0046 3559656672 z 08-12-19 22 01 0018 3559105560 SUBolrd xu 08-12-19 23 01 0830 3559863597 olr-d x 08-12-19 30 01 0104 3560007178 z 08-12-19 31 01 0027 1707265038 z 11-08-17 40 01 0007 3560134838 xsn 08-12-19 60 01 0705 3560339707 OLRD z 08-12-19 63 01 3401 3560556392 ORD x 08-12-19 65 01 0003 4168026965 GBV-ODiss Open Access z 17-07-22 70 01 0089 3560675774 zdt 08-12-19 105 01 0841 3561726488 z 09-12-19 110 01 3110 356081667X x 08-12-19 132 01 0959 3560962978 OLR-DISS x 08-12-19 151 01 0546 3583680510 OLR-ODISS z 31-01-20 161 01 0960 3561170307 ORD z 08-12-19 213 01 0551 3561313221 ORD x 08-12-19 293 01 3293 3561575048 ORD z 08-12-19 370 01 4370 3561710468 x 09-12-19 2403 01 DE-LFER 3496782617 00 --%%-- --%%-- n --%%-- l01 24-07-19 20 01 0084 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 LF 65 01 0003 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 213 01 0551 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 2403 01 DE-LFER http://nbn-resolving.de/urn:nbn:de:gbv:27-dbt-20170811-0931344 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 20 01 0084 OLRD 110 01 3110 OLRD 370 01 4370 OLRD 22 01 0018 SUBolrd 23 01 0830 olr-d 60 01 0705 OLRD 63 01 3401 ORD 65 01 0003 GBV-ODiss 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 213 01 0551 ORD 293 01 3293 ORD 23 01 0830 2019-12-08:20:42:01
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title_short	Fusion of high spatial resolution multispectral & object height data for urban environmental monitoring
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GND_str_mv	Thau, Christian Berger, Christian Hochschulschrift Schiller-Universität Jena University (Jena) University of Jena Universitet Imeni Fridricha Šillera (Jena) Schiller University (Jena) Universität Jena Friedrich-Schiller-Universität Jena. Rektor Friedrich Schiller University (Jena) Gosudarstvennyj Universitet Imeni Fridricha Šillera (Jena) Universidad Friedrich Schiller FSU Jena Universitas Litterarum Jenensis Jenskij Gosudarstvennyj Universitet Imeni Fridricha Šillera Universitas Litterarum Ienensis Alma Mater Jenensis Friedrich-Schiller-Universität Jena Jhena Ihena Stadt Jena City of Jena Iena Iéna Jena (Lichtstadt) Jehna Giena Gena Jena
GND_txt_mv	Thau, Christian Berger, Christian Hochschulschrift Schiller-Universität Jena University (Jena) University of Jena Universitet Imeni Fridricha Šillera (Jena) Schiller University (Jena) Universität Jena Friedrich-Schiller-Universität Jena. Rektor Friedrich Schiller University (Jena) Gosudarstvennyj Universitet Imeni Fridricha Šillera (Jena) Universidad Friedrich Schiller FSU Jena Universitas Litterarum Jenensis Jenskij Gosudarstvennyj Universitet Imeni Fridricha Šillera Universitas Litterarum Ienensis Alma Mater Jenensis Friedrich-Schiller-Universität Jena Jhena Ihena Stadt Jena City of Jena Iena Iéna Jena (Lichtstadt) Jehna Giena Gena Jena
GND_txtF_mv	Thau, Christian Berger, Christian Hochschulschrift Schiller-Universität Jena University (Jena) University of Jena Universitet Imeni Fridricha Šillera (Jena) Schiller University (Jena) Universität Jena Friedrich-Schiller-Universität Jena. Rektor Friedrich Schiller University (Jena) Gosudarstvennyj Universitet Imeni Fridricha Šillera (Jena) Universidad Friedrich Schiller FSU Jena Universitas Litterarum Jenensis Jenskij Gosudarstvennyj Universitet Imeni Fridricha Šillera Universitas Litterarum Ienensis Alma Mater Jenensis Friedrich-Schiller-Universität Jena Jhena Ihena Stadt Jena City of Jena Iena Iéna Jena (Lichtstadt) Jehna Giena Gena Jena
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The synergistic utilization of these data sources holds a large potential for the fine-scale characterization of a city because they are of high descriptive power and non-redundant. However, despite this promising development, detailed and area-wide maps of important settlement parameters, like land cover (LC), urban site characteristics (USCs), and urban structure types (USTs), are still lacking in many municipalities. One reason for this observation is the methodological challenge of turning the wealth of geospatial data into reliable thematic information. Accordingly, there is a strong need for accurate and transferable software solutions being able to produce some of the key data sets for human settlement monitoring from HSR multispectral and object height data. The present work aims at addressing this need. The overall goal of the dissertation was to develop methods for the fusion of HSR multispectral and object height data as well as to showcase their utility in the context of different urban environmental mapping and monitoring applications. It therefore intended to make both a technical and an applied contribution to the field of urban remote sensing. Particular emphasis was put on mapping urban LC, USCs, and USTs, as well as the usage of USCs to study urban land surface temperature (LST) and the surface urban heat island (UHI) effect. These settlement parameters were chosen because they are thematically connected, difficult to obtain from other data sources, and of high relevance for urban planning. To meet the above goal, a comprehensive literature review was conducted in advance. The review helped identifying current deficits within the chosen research fields and led to the formulation of specific thesis objectives. 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