GlobCover: ESA service for global land cover from MERIS

Arino, Olivier; Gross, D.; Ranera, Franck; Bourg, Ludovic; Leroy, Maya; Bicheron, P.; Latham, J.; Gregorio, A. Di; Brockman, C.; Witt, R. G.; Defourny, Pierre; Vancutsem, Christelle; Herold, Martin; Sambale, J.; Achard, Frédéric; Durieux, Laurent; Plummer, S.; Weber, Jean-Louis

doi:10.1109/igarss.2007.4423328

Cited by 261 publications

(217 citation statements)

References 2 publications

Supporting

Mentioning

212

Contrasting

Unclassified

Order By: Relevance

“…The GlobCover map for Africa derived from data acquired by the ESA ENVISAT medium resolution imaging spectrometer (MERIS) with a 300 m spatial resolution (Arino et al, 2007) was used to obtain information on the distribution of pixels of each of the four categories of the conceptual model within different land cover classes.…”

Section: Conceptual Model For Attribution Of Vegetation Greenness Trementioning

confidence: 99%

A conceptual model for assessing rainfall and vegetation trends in sub‐Saharan Africa from satellite data

Hościło

Balzter

Bartholomé³

et al. 2014

Int. J. Climatol

View full text Add to dashboard Cite

Policymakers, governments and aid agencies require operational environmental monitoring in support of evidence-based policy-making and resource deployment in crisis situations. For Africa, this is only feasible at sub-continental scale with a large network of automated meteorological stations, a large number of highly coordinated field observers or with satellite remote sensing. The challenge with satellite data lies in the derivation of meaningful environmental indicators. This article describes a conceptual framework for understanding satellite-derived indicators of rainfall and vegetation greenness trends over Africa. It attributes observed vegetation changes to climatic (i.e. rainfall linked) and non-climatic drivers. A decade of annual rainfall and vegetation data over sub-Saharan Africa was analysed using satellite-based rainfall estimates [Famine Early Warning System Rainfall Estimation 2.0 (FEWSNET RFE 2.0)] from National Oceanic and Atmospheric Administration's (NOAA's) Climate Prediction Centre and the Normalized Difference Vegetation Index (NDVI) obtained from the Satellite Pour l'Observation de la Terre Vegetation (SPOT-VGT) sensor. Rainfall and vegetation greenness trends were analysed for 759 administrative regions of sub-Saharan Africa to identify those regions that have experienced a negative, positive or stable rainfall/vegetation trend over the period [2001][2002][2003][2004][2005][2006][2007][2008][2009][2010]. The character of the relationship between the annual rainfall and max NDVI trends were examined to identify areas where the changes in greenness could be attributed to climatic (rainfall) and non-climatic (human land use or ecological disturbance) changes. Regions where increasing rainfall was associated with vegetation greening were found in West Africa, Central African Republic, West Cameroon and northeastern part of South Africa, whereas areas with evidence of 'climatic vegetation degradation' were located in Southern Madagascar, Nigeria, Kenya and the Garden Route region of South Africa.

show abstract

Section: Conceptual Model For Attribution Of Vegetation Greenness Trementioning

confidence: 99%

A conceptual model for assessing rainfall and vegetation trends in sub‐Saharan Africa from satellite data

Hościło

Balzter

Bartholomé³

et al. 2014

Int. J. Climatol

View full text Add to dashboard Cite

show abstract

“…Land-use and land-cover map We used the European Space Agency (ESA) GLOBCOVER 2009 dataset (300 m grid) (Arino et al 2007) to classify land cover within the watershed, which was aggregated to a total of four classifications representing the major land covers within the watershed, with forest (45.6%) and cropland (28.7%) as the dominant features. The GLOBCOVER dataset contains no attribute information about crop and forest types; hence, the land-cover description was refined by non-spatial statistics on watershed land use obtained from local authorities (water managers) ( Table 2).…”

Section: Digital Elevation Model (Dem)mentioning

confidence: 99%

Assessing ways to combat eutrophication in a Chinese drinking water reservoir using SWAT

Nielsen

Trolle

et al. 2013

Mar. Freshwater Res.

View full text Add to dashboard Cite

Abstract. Across China, nutrient losses associated with agricultural production and domestic sewage have triggered eutrophication, and local managers are challenged to comply with drinking water quality requirements. Evidently, the improvement of water quality should be targeted holistically and encompass both point sources and surface activities within the watershed of a reservoir. We expanded the ordinary Soil Water Assessment Tool -(SWAT) with a widely used empirical equation to estimate total phosphorus (TP) concentrations in lakes and reservoirs. Subsequently, we examined the effects of changes in land and livestock management and sewage treatment on nutrient export and derived consequences for water quality in the Chinese subtropical Kaiping (Dashahe) drinking water reservoir (supplying 0.4 million people). The critical load of TP was estimated to 13.5 tonnes yr À1 in order to comply with the minimum drinking water requirements, which corresponds to 87% of the simulated load to the reservoir at present. Both the implementation of buffer zones along rivers and removal of sewage discharges showed marked improvement in reservoir water quality. Future research should focus on both hydrological model performance and nutrient transport pathways, which are challenged by a complex artificially altered water infrastructure in the form of ditches, channels and ponds in monsooninfluenced subtropical watersheds.

show abstract

“…Finally, we compared the retrieved BSA from the SCM demonstrator and from the resampled MCD43D as a function of land cover through the full sampling period. The ESA GlobCover dataset [60] was first reprojected into the SCM grid, selecting the majority land cover of the GlobCover data within each 0.1 degrees by 0.1 degrees grid cell to represent the land cover type corresponding to each SCM grid cell. The BSA differences across all SCM sampling periods were then aggregated into the land cover types; the following results are shown in Figure 7.…”

Section: Intercomparison Against Mcd43d and Clara-a2-sal Datasetsmentioning

confidence: 99%

A Multisensor Approach to Global Retrievals of Land Surface Albedo

et al. 2018

View full text Add to dashboard Cite

Satellite-based retrievals offer the most cost-effective way to comprehensively map the surface albedo of the Earth, a key variable for understanding the dynamics of radiative energy interactions in the atmosphere-surface system. Surface albedo retrievals have commonly been designed separately for each different spaceborne optical imager. Here, we introduce a novel type of processing framework that combines the data from two polar-orbiting optical imager families, the Advanced Very High-Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS). The goal of the paper is to demonstrate that multisensor albedo retrievals can provide a significant reduction in the sampling time required for a robust and comprehensive surface albedo retrieval, without a major degradation in retrieval accuracy, as compared to state-of-the-art single-sensor retrievals. We evaluated the multisensor retrievals against reference in situ albedo measurements and compare them with existing datasets. The results show that global land surface albedo retrievals with a sampling period of 10 days can offer near-complete spatial coverage, with a retrieval bias mostly comparable to existing single sensor datasets, except for bright surfaces (deserts and snow) where the retrieval framework shows degraded performance because of atmospheric correction design compromises. A level difference is found between the single sensor datasets and the demonstrator developed here, pointing towards a need for further work in the atmospheric correction, particularly over bright surfaces, and inter-sensor radiance homogenization. The introduced framework is expandable to include other sensors in the future.

show abstract

GlobCover: ESA service for global land cover from MERIS

Cited by 261 publications

References 2 publications

A conceptual model for assessing rainfall and vegetation trends in sub‐Saharan Africa from satellite data

A conceptual model for assessing rainfall and vegetation trends in sub‐Saharan Africa from satellite data

Assessing ways to combat eutrophication in a Chinese drinking water reservoir using SWAT

A Multisensor Approach to Global Retrievals of Land Surface Albedo

Contact Info

Product

Resources

About