Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective

Reinhart, Vanessa; Fonte, Cidália C.; Hoffmann, Peter; Bechtel, Benjamin; Rechid, Diana; Böhner, Jürgen

doi:10.1016/j.jag.2020.102221

Cited by 38 publications

(38 citation statements)

References 33 publications

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“…The categories included in the present analysis are rainfed, irrigated, and mosaic cropland and grassland (IDs 10, 11, 12, 20, 30, and 130), resulting in the mask shown in Figure S6. All of the used data sets have been extensively validated (e.g., [60,[67][68][69][70]); therefore, a validation was not conducted here.…”

Section: Datamentioning

confidence: 99%

Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation

et al. 2021

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Long-lasting precipitation deficits or heat waves can induce agricultural droughts, which are generally defined as soil moisture deficits that are severe enough to negatively impact vegetation. However, during short soil moisture drought events, the vegetation is not always negatively affected and sometimes even thrives. Due to this duality in agricultural drought impacts, the term “agricultural drought” is ambiguous. Using the ESA’s remotely sensed CCI surface soil moisture estimates and MODIS NDVI vegetation greenness data, we show that, in major European droughts over the past two decades, asynchronies and discrepancies occurred between the surface soil moisture and vegetation droughts. A clear delay is visible between the onset of soil moisture drought and vegetation drought, with correlations generally peaking at the end of the growing season. At lower latitudes, correlations peaked earlier in the season, likely due to an earlier onset of water limited conditions. In certain cases, the vegetation showed a positive anomaly, even during soil moisture drought events. As a result, using the term agricultural drought instead of soil moisture or vegetation drought, could lead to the misclassification of drought events and false drought alarms. We argue that soil moisture and vegetation drought should be considered separately.

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Section: Datamentioning

confidence: 99%

Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation

et al. 2021

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“…CLC is considered as a reliable reference in terms of land-cover knowledge in Europe, achieving a thematic accuracy superior to 92% for CLC 2018 (86-98%, depending on the country [47] and a geometric accuracy of 100 m. Several complex classes show lower accuracies (e.g., Mine, dump and construction sites or Heterogeneous agricultural areas), which will have a negative impact in the translation procedure. Unfortunately, the significant costs of generating such a detailed map by remote sensing and visual interpretation lead to a 6year update [48]. Conversely, the OSO product is updated every year, but its nomenclature differs from the standardized European-wide CLC.…”

Section: Water Bodiesmentioning

confidence: 99%

“…The main challenge is that both source and target maps have rich and variate nomenclature with non-straightforward semantic relationships. Most works applying CLC translation merge some of the classes of level 2 and focus on a restricted nomenclature of less than ten classes [48][49][50]. Table A1 in the Appendix A details a conceivable semantic association between OSO 2018 and CLC 2018 nomenclatures.…”

Section: Oso To Clc Translation Characteristicsmentioning

confidence: 99%

Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

2021

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CORINE Land-Cover (CLC) and its by-products are considered as a reference baseline for land-cover mapping over Europe and subsequent applications. CLC is currently tediously produced each six years from both the visual interpretation and the automatic analysis of a large amount of remote sensing images. Observing that various European countries regularly produce in parallel their own land-cover country-scaled maps with their own specifications, we propose to directly infer CORINE Land-Cover from an existing map, therefore steadily decreasing the updating time-frame. No additional remote sensing image is required. In this paper, we focus more specifically on translating a country-scale remote sensed map, OSO (France), into CORINE Land Cover, in a supervised way. OSO and CLC not only differ in nomenclature but also in spatial resolution. We jointly harmonize both dimensions using a contextual and asymmetrical Convolution Neural Network with positional encoding. We show for various use cases that our method achieves a superior performance than the traditional semantic-based translation approach, achieving an 81% accuracy over all of France, close to the targeted 85% accuracy of CLC.

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“…An overview of the satellite missions involved in the production of ESA-CCI LC is given in table 1. Besides systematic global validation efforts (ESA, 2017;Hua et al, 2018), a few regional approaches investigated the quality of ESA-CCI LC over Europe (Vilar et al, 2019;Reinhart et al, 2021a). (Hastings and Emery, 1992) 4 SPOT Vegetation satellite program (Maisongrande et al, 2004) 5 Project for On-Board Autonomy -Vegetation (Dierckx et al, 2014) 6 Ocean and Land Colour Instrument (OLCI) and Sea and Land Surface Temperature Radiometer (SLSTR) (Donlon et al, 2012) 5 https://doi.org/10.5194/essd-2021-251…”

Section: Datasets and Concepts 221 Esa-cci Lcmentioning

confidence: 99%

“…(2014). The LANDMATE PFT map is based on the ESA-CCI LC map which was quality checked and compared to similar LULC products on a global (ESA, 2017;Yang et al, 2017;Hua et al, 2018;Li et al, 2018) and regional level (Reinhart et al, 2021a;Vilar et al, 2019). However, the translation from LULC classes to PFTs necessarily results in change of the map.…”

Section: Water Permanent Snow and Icementioning

confidence: 99%

High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 1: The plant functional type basemap for 2015

Reinhart

Hoffmann

Rechid

et al. 2021

Preprint

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Abstract. The concept of plant functional types (PFTs) is shown to be beneficial in representing the complexity of plant characteristics in land use and climate change studies using regional climate models (RCMs). By representing land use and land cover (LULC) as functional traits, responses and effects of specific plant communities can be directly coupled to the lowest atmospheric layers. To meet the requirements of RCMs for realistic LULC distribution, we developed a PFT dataset forEurope (LANDMATE PFT Version 1.0 Reinhart et al., 2021b, ;). The dataset is based on the high-resolution ESA-CCI land cover dataset and is further improved through the the additional use of climate information. Within the LANDMATE PFT dataset, satellite-based LULC information and climate data are combined to achieve the best possible representation of the diverse plant communities and their functions in the respective regional ecosystems while keeping the dataset most flexible for application in RCMs. Each LULC class of ESA-CCI is translated into PFT or PFT fractions including climate information by using the Holdridge Life Zone concept. Through the consideration of regional climate data, the resulting PFT map for Europe is regionally customized. A thorough evaluation of the LANDMATE PFT dataset is done using a comprehensive ground truth database over the European Continent. A suitable evaluation method has been developed and applied to assess the quality of thenew PFT dataset. The assessment shows that the dominant LULC groups, cropland and woodland, are well represented within the dataset while uncertainties are found for some less represented LULC groups. The LANDMATE PFT dataset provides a realistic, high-resolution LULC distribution for implementation in RCMs and is used as basis for the LUCAS LUC dataset introduced in the companion paper by Hoffmann et al. (submitted) which is available for use as LULC change input for RCM experiment setups focused on investigating LULC change impact.

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Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective

Cited by 38 publications

References 33 publications

Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation

Ambiguous Agricultural Drought: Characterising Soil Moisture and Vegetation Droughts in Europe from Earth Observation

Toward a Yearly Country-Scale CORINE Land-Cover Map without Using Images: A Map Translation Approach

High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 1: The plant functional type basemap for 2015

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