New global land cover mapping exercise in the framework of the ESA Climate Change Initiative

Bontemps, Sophie; Defourny, Pierre; Brockmann, Carsten; Herold, Martin; Kalogirou, Vasileios; Arino, Olivier

doi:10.1109/igarss.2012.6351640

Cited by 92 publications

(121 citation statements)

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“…We characterized the Brazilian landcover using the GlobCover map (available at http://due.esrin.esa.int/page_globcover.php). The GlobCover map is coordinated by the European Spatial Agency (ESA) and supplies global landcover data at 300 m resolution (Bontemps et al 2011). This database classifies the global surface into 22 categories, of which 18 occur in Brazil, but only eight are predominantly composed by native vegetation (Table I).…”

Section: Study Area and Databasementioning

confidence: 99%

Climatically-mediated landcover change: impacts on Brazilian territory

Zanin

Tessarolo

Machado

et al. 2017

An. Acad. Bras. Ciênc.

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In the face of climate change threats, governments are drawing attention to policies for mitigating its effects on biodiversity. However, the lack of distribution data makes predictions at species level a difficult task, mainly in regions of higher biodiversity. To overcome this problem, we use native landcover as a surrogate biodiversity, because it can represent specialized habitat for species, and investigate the effects of future climate change on Brazilian biomes. We characterize the climatic niches of native landcover and use ecological niche modeling to predict the potential distribution under current and future climate scenarios. Our results highlight expansion of the distribution of open vegetation and the contraction of closed forests. Drier Brazilian biomes, like Caatinga and Cerrado, are predicted to expand their distributions, being the most resistant to climate change impacts. However, these would also be affected by losses of their closed forest enclaves and their habitat-specific or endemic species. Replacement by open vegetation and overall reductions are a considerable risk for closed forest, threatening Amazon and Atlantic forest biomes. Here, we evidence the impacts of climate change on Brazilian biomes, and draw attention to the necessity for management and attenuation plans to guarantee the future of Brazilian biodiversity.

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Section: Study Area and Databasementioning

confidence: 99%

Climatically-mediated landcover change: impacts on Brazilian territory

Zanin

Tessarolo

Machado

et al. 2017

An. Acad. Bras. Ciênc.

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“…Initial and boundary conditions for all domains are taken from the Climate Forecast System Reanalysis (Saha et al, 2010) at a spatial resolution of ∼ 38 km. Topography for the highest resolution domain is taken from the Shuttle Radar Topography Mission (Jarvis et al, 2008) at a 90 m spatial resolution, and land use from GlobCover (Bontemps et al, 2011) at a ∼300 m spatial resolution.…”

Section: Simulationsmentioning

confidence: 99%

Analysis of Different Gray Zone Treatments in WRF-LES Real Case Simulations

Doubrawa

Montornès²,

Barthelmie

et al. 2018

Preprint

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Abstract. When conducting meso-micro scale coupled atmospheric simulations, it is crucial to ensure an adequate treatment of gray zone or terra incognita resolutions in which a large portion of the kinetic energy is naturally produced by the momentum balance equations in the model, while the remaining part still needs to be parameterized. In this work, we conduct three multiday, real case, full-physics atmospheric simulations that are fully coupled from the meso to the micro scale and in which the only difference is the treatment of boundary layer physics at the gray zone domain. One simulation uses a well-established 5 parameterization, another uses its scale-aware version previously modified to accommodate gray zone resolutions, and a final one uses no parameterization at all and assumes that the gray zone domain can be run in large-eddy simulation (LES) mode.The simulated fields are cross-compared, and further compared to measurements collected during the Prince Edward Island Wind Energy Experiment. Use of LES in the gray zone domain influences the flow fields in a manner that is robust to temporal averaging. The best predictions of vertical wind shear were found for the simulations in which the gray zone is parameterized, 10 and the inclusion of a micro scale nest run in LES mode within the gray zone domains increased the model errors by producing overly homogeneous flow fields. The parameterized simulations also produced better agreement in terms of kinetic energy spectra at the two innermost simulation domains. In the gray zone domain, the energy decays as f −3 throughout most of the spectral range considered. In the micro scale domain, the same is only seen in the low-frequency end of the gray zone spectral range. In the high-frequency end, the energy decay follows a f −1 slope. Outside the gray zone spectral range, the micro scale 15 simulated spectra follow the expected f −5/3 slope and produce good agreement with measurements.

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“…Nairobi is highly urbanized, whereas its surrounding counties contain a mix of agrarian and rural land covers. The land cover information used in Figure 1 is a generalized version of the GlobCover global land cover product [66]. This product has a spatial resolution of 300 m × 300 m, which because of its coarse resolution, hides the presence of transportation types of land uses, such as roads.…”

Section: Study Area and Datamentioning

confidence: 99%

“…As discussed by Bhaduri et al [76], LandScan incorporates a mix of open, commercial and non-disclosed sources of information in the generation of its product. Counties for Kenya were obtained from the Kenya Open Data geoportal [58], while land cover information was collected from the European Space Agency geoportal [66].…”

Section: Study Area and Datamentioning

confidence: 99%

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

Mahabir

Stefanidis

Croitoru

et al. 2017

IJGI

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Abstract:With volunteered geographic information (VGI) platforms such as OpenStreetMap (OSM) becoming increasingly popular, we are faced with the challenge of assessing the quality of their content, in order to better understand its place relative to the authoritative content of more traditional sources. Until now, studies have focused primarily on developed countries, showing that VGI content can match or even surpass the quality of authoritative sources, with very few studies in developing countries. In this paper, we compare the quality of authoritative (data from the Regional Center for Mapping of Resources for Development (RCMRD)) and non-authoritative (data from OSM and Google's Map Maker) road data in conjunction with population data in and around Nairobi, Kenya. Results show variability in coverage between all of these datasets. RCMRD provided the most complete, albeit less current, coverage when taking into account the entire study area, while OSM and Map Maker showed a degradation of coverage as one moves from central Nairobi towards rural areas. Furthermore, OSM had higher content density in large slums, surpassing the authoritative datasets at these locations, while Map Maker showed better coverage in rural housing areas. These results suggest a greater need for a more inclusive approach using VGI to supplement gaps in authoritative data in developing nations.

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New global land cover mapping exercise in the framework of the ESA Climate Change Initiative

Cited by 92 publications

References 1 publication

Climatically-mediated landcover change: impacts on Brazilian territory

Climatically-mediated landcover change: impacts on Brazilian territory

Analysis of Different Gray Zone Treatments in WRF-LES Real Case Simulations

Authoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, Kenya

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