Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Remote Sensing in Support of the Geo-information in Europe Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

2. Global Land Cover Mapping: Current Status and Future Trends

verfasst von : Brice Mora, Nandin-Erdene Tsendbazar, Martin Herold, Olivier Arino

Erschienen in: Land Use and Land Cover Mapping in Europe

Verlag: Springer Netherlands

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The observation of global-scale land cover (LC) is of importance to international initiatives such as the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto protocol, governments, and scientific communities in their understanding and monitoring of the changes affecting the environment, and the coordination of actions to mitigate and adapt to global change. As such, reliable and consistent global LC (GLC) datasets are being sought. For instance, GLC datasets are used as an input for many Global Circulation Models, Earth Systems Models and Integrated Assessment Models used for global and regional climate simulations, dynamic vegetation modelling, carbon (stock) modelling, ecosystem modelling, land surface modelling, and impact assessments (Hibbard et al., 2010; Herold et al., 2011).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Remote Sensing in Support of the Geo-information in Europe
Nächstes Kapitel The Users’ Role in the European Land Monitoring Context
Literatur
Anonymous (2011) Global forest land-use change from 1990 to 2005 – initial results from a global remote sensing survey. Rome, Italy
Arino O, Gross D, Ranera F, Bourg L, Leroy M, Bicheron P, Latham J et al (2007) GlobCover: ESA service for global land cover from MERIS. In: Geoscience and remote sensing symposium – IGARSS 2007, 23–28 July 2007, Barcelona, Spain. IEEE International, Piscataway, pp 2412–2415
Aschbacher J, Milagro-Pérez MP (2012) The European Earth monitoring (GMES) programme: status and perspectives. Remote Sens Environ 120(2012):3–8CrossRef
Bartholomé E, Belward AS (2005) GLC2000: a new approach to global land cover mapping from Earth observation data. Int J Remote Sens 26(9):1959–1977CrossRef
Benítez P, McCallum I, Obersteiner M, Yamagata Y (2004) Global supply for carbon sequestration: identifying least-cost afforestation sites under country risk consideration. International Institute for Applied System Analysis, Laxenburg, Austria
Berger M, Moreno J, Johannessen JA, Levelt PF, Hanssen RF (2012) ESA’s sentinel missions in support of Earth system science. Remote Sens Environ 120:84–90CrossRef
Bontemps S, Defourny P, van Bogaert E, Arino O, Kalogirou V, Perez JR (2011) GlobCover 2009, products description and validation report. European Space Agency, Frascati, Italy, and UniversitÕ Catholique de Louvain, Louvain-la-Neuve, Belgium.
Bontemps S, Herold M, Kooistra L, van Groenestijn A, Hartley A, Arino O, Moreau I, Defourny P (2012) Revisiting land cover observation to address the needs of the climate modeling community. Biogeosciences 9(6):2145–2157CrossRef
Bork EW, Su JG (2007) Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: a meta analysis. Remote Sens Environ 111(1):11–24CrossRef
Carroll ML, DiMiceli CM, Townshend JRG, Sohlberg RA, Hansen MC, DeFries RS (2006) Vegetative cover conversion MOD44A, deforestation. In: Burned vegetation – collection 4, ed. University of Maryland, College Park, Maryland. http://​glcf.​umiacs.​umd.​edu/​data/​vcc/​
Chander G, Xiong X, Choi T, Angal A (2010) Monitoring on-orbit calibration stability of the Terra MODIS and Landsat 7 ETM + sensors using pseudo-invariant test sites. Remote Sens Environ 114:925–939CrossRef
Defourny P, Bontemps S, Martin B, Brockman C, Fomferra N, Grit K, Kruger O (2011a) CCI land cover project – product specification document, version 1.2. www.​esa-landcover-cci.​org
Defourny P, Bontemps S, Schouten L, Bartalev S, Cacetta P, De Wit A, Di Bella CM et al (2011b) GLOBCOVER 2005 and GLOBCOVER 2009 validation: learnt lessons. In: GOFC-GOLD global land cover & change validation workshop, Laxenburg, Austria
Defourny P, Mayaux P, Herold M, Bontemps S (2012) Global land-cover map validation experiences: toward the characterization of quantitative uncertainty. In: Giri C (ed) Remote sensing of land use and land cover – principles and applications. CRC Press – Taylor and Francis, Boca Raton, pp 207–224CrossRef
DeFries RS, Los SO (1999) Implications of land-cover misclassification for parameter estimates in global land-surface models: an example from the simple biosphere model (SiB2). Photogramm Eng Remote Sens 65(9):1083–1088
DeFries RS, Townshend JRG (1994) NDVI-derived land cover classifications at a global scale. Int J Remote Sens 15(17):3567–3586CrossRef
DeFries RS, Hansen MC, Townshend JRG, Sohlberg R (1998) Global land cover classifications at 8 km spatial resolution: the use of training data derived from Landsat imagery in decision tree classifiers. Int J Remote Sens 19:3141–3168CrossRef
Di Gregorio A, Jansen LJM (2005) Land cover classification system: classification concepts and user manual: software Version 2. Food and Agriculture Organization of the United Nations, Rome
Drusch M, Del Bello U, Carlier S, Colin O, Fernandez V, Gascon F, Hoersch B et al (2012) Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sens Environ 120(May):25–36CrossRef
Friedl MA, McIver DK, Hodges JCF, Zhang XY, Muchoney D, Strahler AH, Woodcock CE, Gopal S, Schneider A, Cooper A (2002) Global land cover mapping from MODIS: algorithms and early results. Remote Sens Environ 83(1–2):287–302CrossRef
Friedl MA, Sulla-Menashe D, Tan B, Schneider A, Ramankutty N, Sibley A, Huang XM (2010) MODIS collection 5 global land cover: algorithm refinements and characterization of new datasets. Remote Sens Environ 114(1):168–182CrossRef
Fritz S, McCallum I, Schill C, Perger C, Grillmayer R, Achard F, Kraxner F et al (2009) Geo-wiki.Org: the use of crowdsourcing to improve global land cover. Remote Sens 1(3):345–354CrossRef
Fritz S, See L, McCallum I, Schill C, Obersteiner M, van der Velde M, Boettcher H, Havlík P, Achard F (2011) Highlighting continued uncertainty in global land cover maps for the user community. Environ Res Lett 6:44005CrossRef
GCOS (2010) Implementation plan for the global observing system for climate in support of the UNFCCC, GCOS-138, vol 138
Ge J, Qi J, Lofgren BM, Moore N, Torbick N, Olson JM (2007) Impacts of land use/cover classification accuracy on regional climate simulations. J Geophys Res 112(D5), D05107
GEO (2010) GEO 2009–2011 work plan – revision 3
GEO (2011) GEO 2012–2015 work plan – revision 1
Gerrand AM, Lindquist EJ, Wilkie M, Shimabukuro Y, Cumani R, Hansen MC, Potapov P, Achard F (2009) The 2010 global forest resource assessment remote sensing survey. In: Proceedings of the 33rd international symposium on remote sensing of environment ISRSE, 2–5, Stresa, Italy
Giri C, Zhiliang Z, Reed B (2005) A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets. Remote Sens Environ 94(1):123–132CrossRef
Göhmann H, Herold M, Jung M, Schultz M, Schmullius CC (2009) Prototyping a probability-based Best Map Approach for global land cover datasets at 1 km resolution using MODIS, GLC2000, UMD and IGBP. In: 33rd ISRSE, Stresa, Italy
Gong P, Wang J, Yu L, Zhao Y, Zhao Y, Liang L, Niu Z et al (2013) Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM + data. Int J Remote Sens 34(7):2607–2654CrossRef
Goodwin NR, Collett LJ, Denham RJ, Flood N, Tindall D (2013) Cloud and cloud shadow screening across Queensland, Australia: an automated method for Landsat TM/ETM + time series. Remote Sens Environ 134:50–65CrossRef
Gutman G, Masek JG (2012) Long-term time series of the Earth’s land-surface observations from space. Int J Remote Sens 33(15):4700–4719CrossRef
Gutman G, Justice C, King LA (2012) The NASA land-cover and land-use change program – research agenda and progress (2005–2011). In: Giri C (ed) Remote sensing of land use and land cover – principles and applications. CRC Press – Taylor and Francis, Boca Raton, pp 379–396CrossRef
Hansen MC, Reed BC (2000) A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products. Int J Remote Sens 21(6–7):1365–1373CrossRef
Hansen MC, DeFries RS, Townshend JRG, Sohlberg R (2000) Global land cover classification at 1 km spatial resolution using a classification tree approach. Int J Remote Sens 21(6/7):1331–1364CrossRef
Hansen MC, Stehman SV, Potapov PV (2010) Quantification of global gross forest cover loss. Proc Natl Acad Sci 107(19):8650–8655CrossRef
Harris NL, Brown S, Hagen SC, Saatchi SS, Petrova S, Salas W, Hansen MC, Potapov PV, Lotsch A (2012) Baseline Map of carbon emissions from deforestation in tropical regions. Science 336(6088):1573–1576. doi:10.​1126/​science.​1217962 CrossRef
Herold M, Mayaux P, Woodcock CE, Baccini A, Schmullius CC (2008) Some challenges in global land cover mapping: an assessment of agreement and accuracy in existing 1 km datasets. Remote Sens Environ 112(5):2538–2556CrossRef
Herold M, Woodcock CE, Cihlar J, Wulder MA, Arino O, Achard F, Hansen MC et al (2009) Assessment of the status of the development of the standards for the terrestrial essential climate variables – land cover. Rome
Herold M, van Groenestijn A, Kooistra L, Kalogirou V, Arino O (2011) Land Cover CCI user requirements document. Louvain-la-Neuve, Belgium
Herold M, Kooistra L, van Groenestijn A, Defourny P, Schmullius CC, Kalogirou V, Arino O (2012) Building saliency, legitimacy, and credibility towards operational global and regional land cover observations and assessments in the context of international processes and observing Essential Climate Variables (ECV’S). In: USGS/Earth Resources Observation and Science (EROS) Center, Giri CP (eds) Remote sensing of land use and land cover: principles and applications. CRC Press, Sioux Falls, pp 397–414CrossRef
Hibbard K, Janetos A, van Vuuren DP, Pongratz J, Rose SK, Betts R, Herold M, Feddema JJ (2010) Research priorities in land use and land-cover change for the Earth system and integrated assessment modelling. Int J Climatol 30(13):2118–2128CrossRef
Huang C, Wylie B, Yang L, Homer CG, Zylstra G (2002) Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance. Int J Remote Sens 23(8):1741–1748CrossRef
IPCC (2006) Guidelines for national greenhouse gas inventories, vol 4 AFOLU (Agriculture, Forestry and Other Land Use). Kanagawa, Japan
Jung M, Henkel K, Herold M, Churkina G (2006) Exploiting synergies of global land cover products for carbon cycle modeling. Remote Sens Environ 101(4):534–553CrossRef
Kennedy RE, Yang Z, Cohen WB (2010) Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — temporal segmentation algorithms. Remote Sens Environ 114(12):2897–2910CrossRef
Lamard JL, Frecon L, Bailly B, Gaudin-Delreeu C, Kubk P, Laherrere JM (2008) The high resolution optical instruments for the pleiades HR Earth observation satellites. In: International Astronautical Federation (ed) 59th International Astronautical Congress. Glasgow, pp 2650–2662
Lee-Ashley M, Moody J (2010) United States launches new global initiative to track changes in land cover and use. Lee-Ashley M, Moody J (ed). US. Department of the Interior
Li G, Lu D, Moran E, Dutra L, Batistella M (2012) A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region. ISPRS J Photogramm Remote Sens 70(06):26–38. doi:10.​1016/​j.​isprsjprs.​2012.​03.​010 CrossRef
Liao A (2013) Global land surface water product at 30 m resolution. ISPRS/GEO workshop on high resolution global land cover mapping, 24 April 2013, Beijing, China
Loveland TR, Reed BC, Brown JF, Ohlen DO, Zhu Z, Yang L, Merchant JW (2000) Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data. Int J Remote Sens 21(6/7):1303–1330CrossRef
Lu D, Li G, Moran E, Dutra L, Batistella M (2011) A comparison of multisensor integration methods for land cover classification in the Brazilian Amazon. GISci Remote Sens 48(3):345–370. doi:10.​2747/​1548-1603.​48.​3.​345
Lucas RM, Cronin N, Moghaddam M, Lee A, Armston J, Bunting P, Witte C (2006) Integration of radar and Landsat-derived foliage projected cover for woody regrowth mapping, Queensland, Australia. Remote Sens Environ 100(3):388–406CrossRef
Mayaux P, Eva H, Gallego J, Strahler AH, Herold M, Agrawal S, Naumov S et al (2006) Validation of the Global Land Cover 2000 map. IEEE Trans Geosci Remote Sens 44(7):1728–1739CrossRef
McCallum I, Obersteiner M, Nilsson S, Shvidenko A (2006) A spatial comparison of four satellite derived 1 km global land cover datasets. Int J Appl Earth Obs Geoinf 8(4):246–255CrossRef
Nakaegawa T (2011) Uncertainty in land cover datasets for global land-surface models derived from 1-km global land cover datasets. Hydrol Process 25(17):2703–2714CrossRef
Olofsson P, Stehman SV, Woodcock CE, Sulla-Menashe D, Sibley AM, Newell JD, Friedl MA, Herold M (2012) A global land-cover validation data set, part I: fundamental design principles. Int J Remote Sens 33(18):5768–5788CrossRef
Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen–Geiger climate classification. Hydrol Earth Syst 11:1633–1644CrossRef
Scepan J, Menz G, Hansen MC (1999) The DISCover validation image interpretation process. Photogramm Eng Remote Sens 65(9):1075–1081
Sertel E, Robock A, Ormeci C (2010) Impacts of land cover data quality on regional climate simulations. Int J Climatol 30(13):1942–1953CrossRef
Sexton JO, Song X-P, Feng M, Noojipady P, Anand A, Huang C et al (2013) Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error. Int J Digit Earth 6(5):427–448CrossRef
Strahler AH, Boschetti L, Foody GM, Friedl MA, Hansen MC, Herold M, Mayaux P, Morisette JT, Stehman SV, Woodcock CE (2006) Global land cover validation: recommendations for evaluation and accuracy assessment of global land cover maps. Luxembourg
Tateishi R, Uriyangqai B, Al-Bilbisi H, Ghar MA, Tsend-Ayush J, Kobayashi T, Kasimu A et al (2011) Production of global land cover data – GLCNMO. Int J Digit Earth 4(1):22–49CrossRef
Townshend JR, Masek JG, Huang C, Vermote EF, Gao F, Channan S et al (2012) Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges. Int J Digit Earth 5(5):373–397CrossRef
Verbesselt J, Zeileis A, Herold M (2012) Near real-time disturbance detection using satellite image time series. Remote Sens Environ 123:98–108CrossRef
Verburg PH, Neumann K, Nol L (2011) Challenges in using land use and land cover data for global change studies. Glob Chang Biol 17(2):974–989CrossRef
Wu W, Shibasaki R, Yang P, Ongaro L, Zhou Q, Tang H (2008) Validation and comparison of 1 km global land cover products in China. Int J Remote Sens 29(13):3769–3785CrossRef
Metadaten
Titel
Global Land Cover Mapping: Current Status and Future Trends
verfasst von
Brice Mora
Nandin-Erdene Tsendbazar
Martin Herold
Olivier Arino
Copyright-Jahr
2014
Verlag
Springer Netherlands
Buch
Land Use and Land Cover Mapping in Europe

Print ISBN: 978-94-007-7968-6

Electronic ISBN: 978-94-007-7969-3

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-94-007-7969-3_2