Mapping vegetation types in a savanna ecosystem in Namibia : concepts for integrated land cover assessments

The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Hüttich, Christian - 1979- [verfasserIn]
Körperschaften:	Friedrich-Schiller-Universität Jena [Grad-verleihende Institution]
Hochschulschrift:	Dissertation ; Friedrich-Schiller-Universität Jena ; 2011

Format:	E-Book
Sprache:	Englisch

Erschienen:	Jena: 2011

Schlagwörter:	Namibia / Trockensavanne / Ökosystem / Biodiversität / Satellitenbild / Vegetationskartierung
Formangabe:	Hochschulschrift

Umfang:	1 Online-Ressource (175 Seiten) ; Illustrationen, Diagramme, Karten
Beschreibung:	PDF-Viewer.

Weitere Ausgabe:	Erscheint auch als Druck-Ausgabe Hüttich, Christian, 1979 -: Mapping vegetation types in a savanna ecosystem in Namibia - Jena, 2011

Links:	Link aufrufen Link aufrufen Volltext Volltext Volltext

DOI / URN:	urn:nbn:de:gbv:27-20111005-135943-1

Katalog-ID:	66937525X

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Indexfelder

author_variant	c h ch
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oclc_num	844951901
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bklnumber	38.03
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The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia. PDF-Viewer. 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spelling	11,O12 dnb 1016683529 DE-101 urn:nbn:de:gbv:27-20111005-135943-1 urn (DE-627)66937525X (DE-599)GBV66937525X (OCoLC)844951901 DE-627 ger DE-627 rda eng XA-DE a OCLC 550 a DNB 38.03 bkl Hüttich, Christian 1979- verfasserin (DE-588)1016882998 (DE-627)705591697 (DE-576)352784792 aut Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments vorgelegt von Christian Hüttich Jena 2011 1 Online-Ressource (175 Seiten) Illustrationen, Diagramme, Karten Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia. PDF-Viewer. Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content g (DE-588)4075202-1 (DE-627)104306343 (DE-576)209196882 Namibia gnd s (DE-588)4128583-9 (DE-627)104465654 (DE-576)209603305 Trockensavanne gnd s (DE-588)4043216-6 (DE-627)104427035 (DE-576)209054743 Ökosystem gnd s (DE-588)4601495-0 (DE-627)326140409 (DE-576)214151131 Biodiversität gnd s (DE-588)4179145-9 (DE-627)104507780 (DE-576)209989238 Satellitenbild gnd s (DE-588)4187461-4 (DE-627)105271934 (DE-576)210045965 Vegetationskartierung gnd (DE-627) 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 Hüttich, Christian, 1979 - Mapping vegetation types in a savanna ecosystem in Namibia Jena, 2011 XVI, 152 Seiten (DE-627)667290885 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Resolving-System Volltext http://d-nb.info/1016683529/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=19033 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-FOR SSG-OPC-GGO 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_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_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 38.03 Methoden und Techniken der Geowissenschaften (DE-627)106411284 BO 045F a 20 01 0084 1291622225 x 08-02-12 21 01 0046 1317677528 z 11-08-12 22 01 0018 1317800109 SUBolrd xu 11-08-12 23 01 0830 1317899636 olr-d x 11-08-12 30 01 0104 1317957938 z 11-08-12 31 01 0027 1271316153 z 07-04-09 40 01 0007 1318013607 xsn 11-08-12 60 01 0705 1318121639 OLRD z 11-08-12 63 01 3401 1595743537 ORD x 21-01-16 70 01 0089 1318287499 zdo 11-08-12 105 01 0841 1596556684 z 21-01-16 110 01 3110 1318225965 x 11-08-12 132 01 0959 1498079741 OLR-DISS x 12-08-14 151 01 0546 3594158209 OLR-ODISS z 13-02-20 161 01 0960 1597524298 ORD x 28-01-16 293 01 3293 1597986100 ORD xf 28-01-16 370 01 4370 131827608X x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 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 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45
allfields_unstemmed	11,O12 dnb 1016683529 DE-101 urn:nbn:de:gbv:27-20111005-135943-1 urn (DE-627)66937525X (DE-599)GBV66937525X (OCoLC)844951901 DE-627 ger DE-627 rda eng XA-DE a OCLC 550 a DNB 38.03 bkl Hüttich, Christian 1979- verfasserin (DE-588)1016882998 (DE-627)705591697 (DE-576)352784792 aut Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments vorgelegt von Christian Hüttich Jena 2011 1 Online-Ressource (175 Seiten) Illustrationen, Diagramme, Karten Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia. PDF-Viewer. Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content g (DE-588)4075202-1 (DE-627)104306343 (DE-576)209196882 Namibia gnd s (DE-588)4128583-9 (DE-627)104465654 (DE-576)209603305 Trockensavanne gnd s (DE-588)4043216-6 (DE-627)104427035 (DE-576)209054743 Ökosystem gnd s (DE-588)4601495-0 (DE-627)326140409 (DE-576)214151131 Biodiversität gnd s (DE-588)4179145-9 (DE-627)104507780 (DE-576)209989238 Satellitenbild gnd s (DE-588)4187461-4 (DE-627)105271934 (DE-576)210045965 Vegetationskartierung gnd (DE-627) 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 Hüttich, Christian, 1979 - Mapping vegetation types in a savanna ecosystem in Namibia Jena, 2011 XVI, 152 Seiten (DE-627)667290885 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Resolving-System Volltext http://d-nb.info/1016683529/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=19033 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-FOR SSG-OPC-GGO 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_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_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 38.03 Methoden und Techniken der Geowissenschaften (DE-627)106411284 BO 045F a 20 01 0084 1291622225 x 08-02-12 21 01 0046 1317677528 z 11-08-12 22 01 0018 1317800109 SUBolrd xu 11-08-12 23 01 0830 1317899636 olr-d x 11-08-12 30 01 0104 1317957938 z 11-08-12 31 01 0027 1271316153 z 07-04-09 40 01 0007 1318013607 xsn 11-08-12 60 01 0705 1318121639 OLRD z 11-08-12 63 01 3401 1595743537 ORD x 21-01-16 70 01 0089 1318287499 zdo 11-08-12 105 01 0841 1596556684 z 21-01-16 110 01 3110 1318225965 x 11-08-12 132 01 0959 1498079741 OLR-DISS x 12-08-14 151 01 0546 3594158209 OLR-ODISS z 13-02-20 161 01 0960 1597524298 ORD x 28-01-16 293 01 3293 1597986100 ORD xf 28-01-16 370 01 4370 131827608X x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 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 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45
allfieldsGer	11,O12 dnb 1016683529 DE-101 urn:nbn:de:gbv:27-20111005-135943-1 urn (DE-627)66937525X (DE-599)GBV66937525X (OCoLC)844951901 DE-627 ger DE-627 rda eng XA-DE a OCLC 550 a DNB 38.03 bkl Hüttich, Christian 1979- verfasserin (DE-588)1016882998 (DE-627)705591697 (DE-576)352784792 aut Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments vorgelegt von Christian Hüttich Jena 2011 1 Online-Ressource (175 Seiten) Illustrationen, Diagramme, Karten Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia. PDF-Viewer. Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content g (DE-588)4075202-1 (DE-627)104306343 (DE-576)209196882 Namibia gnd s (DE-588)4128583-9 (DE-627)104465654 (DE-576)209603305 Trockensavanne gnd s (DE-588)4043216-6 (DE-627)104427035 (DE-576)209054743 Ökosystem gnd s (DE-588)4601495-0 (DE-627)326140409 (DE-576)214151131 Biodiversität gnd s (DE-588)4179145-9 (DE-627)104507780 (DE-576)209989238 Satellitenbild gnd s (DE-588)4187461-4 (DE-627)105271934 (DE-576)210045965 Vegetationskartierung gnd (DE-627) 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 Hüttich, Christian, 1979 - Mapping vegetation types in a savanna ecosystem in Namibia Jena, 2011 XVI, 152 Seiten (DE-627)667290885 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Resolving-System Volltext http://d-nb.info/1016683529/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=19033 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-FOR SSG-OPC-GGO 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_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_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 38.03 Methoden und Techniken der Geowissenschaften (DE-627)106411284 BO 045F a 20 01 0084 1291622225 x 08-02-12 21 01 0046 1317677528 z 11-08-12 22 01 0018 1317800109 SUBolrd xu 11-08-12 23 01 0830 1317899636 olr-d x 11-08-12 30 01 0104 1317957938 z 11-08-12 31 01 0027 1271316153 z 07-04-09 40 01 0007 1318013607 xsn 11-08-12 60 01 0705 1318121639 OLRD z 11-08-12 63 01 3401 1595743537 ORD x 21-01-16 70 01 0089 1318287499 zdo 11-08-12 105 01 0841 1596556684 z 21-01-16 110 01 3110 1318225965 x 11-08-12 132 01 0959 1498079741 OLR-DISS x 12-08-14 151 01 0546 3594158209 OLR-ODISS z 13-02-20 161 01 0960 1597524298 ORD x 28-01-16 293 01 3293 1597986100 ORD xf 28-01-16 370 01 4370 131827608X x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 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 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45
allfieldsSound	11,O12 dnb 1016683529 DE-101 urn:nbn:de:gbv:27-20111005-135943-1 urn (DE-627)66937525X (DE-599)GBV66937525X (OCoLC)844951901 DE-627 ger DE-627 rda eng XA-DE a OCLC 550 a DNB 38.03 bkl Hüttich, Christian 1979- verfasserin (DE-588)1016882998 (DE-627)705591697 (DE-576)352784792 aut Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments vorgelegt von Christian Hüttich Jena 2011 1 Online-Ressource (175 Seiten) Illustrationen, Diagramme, Karten Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Dissertation Friedrich-Schiller-Universität Jena 2011 The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia. PDF-Viewer. Archivierung/Langzeitarchivierung gewährleistet XA-DE-TH pdager DE-27 Archivierung/Langzeitarchivierung gewährleistet pdager DE-101 Hochschulschrift (DE-588)4113937-9 (DE-627)105825778 (DE-576)209480580 gnd-content g (DE-588)4075202-1 (DE-627)104306343 (DE-576)209196882 Namibia gnd s (DE-588)4128583-9 (DE-627)104465654 (DE-576)209603305 Trockensavanne gnd s (DE-588)4043216-6 (DE-627)104427035 (DE-576)209054743 Ökosystem gnd s (DE-588)4601495-0 (DE-627)326140409 (DE-576)214151131 Biodiversität gnd s (DE-588)4179145-9 (DE-627)104507780 (DE-576)209989238 Satellitenbild gnd s (DE-588)4187461-4 (DE-627)105271934 (DE-576)210045965 Vegetationskartierung gnd (DE-627) 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 Hüttich, Christian, 1979 - Mapping vegetation types in a savanna ecosystem in Namibia Jena, 2011 XVI, 152 Seiten (DE-627)667290885 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Langzeitarchivierung Resolving-System kostenfrei http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 Resolving-System Volltext http://d-nb.info/1016683529/34 Langzeitarchivierung Nationalbibliothek Volltext https://www.db-thueringen.de/servlets/DocumentServlet?id=19033 Verlag kostenfrei Volltext GBV-ODiss GBV_ILN_20 ISIL_DE-84 SYSFLAG_1 GBV_KXP SSG-OPC-FOR SSG-OPC-GGO 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_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_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 38.03 Methoden und Techniken der Geowissenschaften (DE-627)106411284 BO 045F a 20 01 0084 1291622225 x 08-02-12 21 01 0046 1317677528 z 11-08-12 22 01 0018 1317800109 SUBolrd xu 11-08-12 23 01 0830 1317899636 olr-d x 11-08-12 30 01 0104 1317957938 z 11-08-12 31 01 0027 1271316153 z 07-04-09 40 01 0007 1318013607 xsn 11-08-12 60 01 0705 1318121639 OLRD z 11-08-12 63 01 3401 1595743537 ORD x 21-01-16 70 01 0089 1318287499 zdo 11-08-12 105 01 0841 1596556684 z 21-01-16 110 01 3110 1318225965 x 11-08-12 132 01 0959 1498079741 OLR-DISS x 12-08-14 151 01 0546 3594158209 OLR-ODISS z 13-02-20 161 01 0960 1597524298 ORD x 28-01-16 293 01 3293 1597986100 ORD xf 28-01-16 370 01 4370 131827608X x 11-08-12 21 01 0046 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 22 01 0018 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 23 01 0830 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 30 01 0104 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 01 0027 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 40 01 0007 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 60 01 0705 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 63 01 3401 E-Book http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 LF 70 01 0089 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 105 01 0841 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 110 01 3110 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 132 01 0959 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 151 01 0546 Volltext http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 161 01 0960 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 293 01 3293 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 370 01 4370 http://nbn-resolving.de/urn:nbn:de:gbv:27-20111005-135943-1 31 00 DE-27 00 Universitätsbibliographie Jena 31 00 DE-27 01 Chemisch-Geowissenschaftliche Fakultät 60 01 0705 10 ho 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 132 01 0959 OLR-DISS 151 01 0546 OLR-ODISS 161 01 0960 ORD 293 01 3293 ORD 23 01 0830 2012-08-11:02:27:45
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topic_facet	Namibia Trockensavanne Ökosystem Biodiversität Satellitenbild Vegetationskartierung
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title	Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments
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title_full	Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments vorgelegt von Christian Hüttich
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title_sort	mapping vegetation types in a savanna ecosystem in namibiaconcepts for integrated land cover assessments
title_auth	Mapping vegetation types in a savanna ecosystem in Namibia concepts for integrated land cover assessments
abstract	The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia.
abstractGer	The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia.
abstract_unstemmed	The characterisation and evaluation of biodiversity and land-cover in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes. However, mechanisms for frequent update of the status and trends of biodiversity and land change processes are still missing. The knowledge of the spatial distribution of vegetation types is an important information source for all social benefit areas. Remote sensing techniques are essential tools for mapping and monitoring of land-cover. The development and evaluation of concepts’ for integrated land-cover assessments attracted increased interest in the remote sensing community since evolving standards for the characterisation of land-cover enable an easier access and inter-comparability of earth observation data. Regarding the complexity of the savanna biome in terms of the spatiotemporal heterogeneity of the vegetation structure and rainfall variability, the main research needs are addressing the assessment of the capabilities and limitations of using satellite data for land-cover and vegetation mapping purposes. While integrating Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for mapping vegetation types in Namibia, the temporal characteristics of semi-arid life-forms types were used for the classification of vegetation types in Namibia. The Random Forest framework was applied and evaluated for classifying vegetation types using MODIS time series metrics as input features. The study region comprised the Kalahari in the north-eastern communal lands of Namibia.
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title_short	Mapping vegetation types in a savanna ecosystem in Namibia
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GND_txt_mv	Hüttich, Christian Hochschulschrift Namibië Südwestafrika (Namibia) South-West Africa (Namibia) Republic of Namibia SWA/Namibia Afrika (Südwest) Namibia Trockensavanne Ökosysteme Biosystem Ökosystem Vielfalt / Biologie Biologische Vielfalt Biodiversität Raumfahrtphotographie Satellitenphotographie Satellitenaufnahme Satellitenfoto Satellitenfotografie Satellitenbild Vegetationskartierung 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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up_date	2024-07-20T07:30:19.597Z
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Mapping vegetation types in a savanna ecosystem in Namibia : concepts for integrated land cover assessments

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