Zobrazeno 1 - 10
of 17
pro vyhledávání: '"G. B. M. Heuvelink"'
Autor:
A. Helfenstein, V. L. Mulder, M. J. D. Hack-ten Broeke, M. van Doorn, K. Teuling, D. J. J. Walvoort, G. B. M. Heuvelink
Publikováno v:
Earth System Science Data, Vol 16, Pp 2941-2970 (2024)
In response to the growing societal awareness of the critical role of healthy soils, there has been an increasing demand for accurate and high-resolution soil information to inform national policies and support sustainable land management decisions.
Externí odkaz:
https://doaj.org/article/47b92673527a4be5949b85b5fa7ec1c5
Autor:
L. Poggio, L. M. de Sousa, N. H. Batjes, G. B. M. Heuvelink, B. Kempen, E. Ribeiro, D. Rossiter
Publikováno v:
SOIL, Vol 7, Pp 217-240 (2021)
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 l
Externí odkaz:
https://doaj.org/article/61c871f01e854d71a1d1b2b7b79d53f0
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 193-216 (2021)
Uncertainty is often ignored in urban water systems modelling. Commercial software used in engineering practice often ignores the uncertainties of input variables and their propagation because of a lack of user-friendly implementations. This can have
Externí odkaz:
https://doaj.org/article/da1f194822b14f2db91205ec3d02d296
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Iss 2, Pp 1077-1091 (2017)
In this study we develop a method to estimate the spatially averaged rainfall intensity together with associated level of uncertainty using geostatistical upscaling. Rainfall data collected from a cluster of eight paired rain gauges in a 400 m × 200
Externí odkaz:
https://doaj.org/article/92a5533c076c426680e4bac994945c50
Autor:
W. M. van der Meij, A. J. A. M. Temme, C. M. F. J. J. de Kleijn, T. Reimann, G. B. M. Heuvelink, Z. Zwoliński, G. Rachlewicz, K. Rymer, M. Sommer
Publikováno v:
SOIL, Vol 2, Iss 2, Pp 221-240 (2016)
Soils in Arctic regions currently enjoy attention because of their sensitivity to climate change. It is therefore important to understand the natural processes and rates of development of these soils. Specifically, there is a need to quantify the rat
Externí odkaz:
https://doaj.org/article/9ab257cfd1234ef794524e52c82ccf04
Autor:
D. R. Cameron, M. Van Oijen, C. Werner, K. Butterbach-Bahl, R. Grote, E. Haas, G. B. M. Heuvelink, R. Kiese, J. Kros, M. Kuhnert, A. Leip, G. J. Reinds, H. I. Reuter, M. J. Schelhaas, W. De Vries, J. Yeluripati
Publikováno v:
Biogeosciences, Vol 10, Iss 3, Pp 1751-1773 (2013)
Forests are important components of the greenhouse gas balance of Europe. There is considerable uncertainty about how predicted changes to climate and nitrogen deposition will perturb the carbon and nitrogen cycles of European forests and thereby alt
Externí odkaz:
https://doaj.org/article/47034a829acb4c34ba2c6b1da8b4e97a
Publikováno v:
Biogeosciences, Vol 9, Iss 11, Pp 4573-4588 (2012)
To assess the responses of nitrogen and greenhouse gas emissions to pan-European changes in land cover, land management and climate, an integrated dynamic model, INTEGRATOR, has been developed. This model includes both simple process-based descriptio
Externí odkaz:
https://doaj.org/article/488ca1431b1048779324a9943d6b12ff
Publikováno v:
Biogeosciences, Vol 9, Iss 11, Pp 4527-4536 (2012)
A comparison was made between upscaled model results of nitrogen (N) fluxes to air and water from 450 sites within the EU-27 and results derived for the entire EU-27 area using the model INTEGRATOR. The 450 sites were selected using stratified random
Externí odkaz:
https://doaj.org/article/4a7d45781a4a4f299a79ede664a3dcc7
Publikováno v:
Hydrology and Earth System Sciences, Vol 14, Iss 7, Pp 1153-1165 (2010)
DEM error propagation methodology is extended to the derivation of vector-based objects (stream networks) using geostatistical simulations. First, point sampled elevations are used to fit a variogram model. Next 100 DEM realizations are generated usi
Externí odkaz:
https://doaj.org/article/8abf6a8501db419ebdd6adeb6b7f08d7
Publikováno v:
European Journal of Soil Science 74 (2023) 2
Pedometricians have spent a lot of effort on mapping soil types and basic soil properties. However, end-users typically need a more elaborate soil quality index for land management. Soil quality indices are typically derived from multiple individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5362c9a5ca3e5db41a29f2656c6f2738
https://research.wur.nl/en/publications/a-multivariate-approach-for-mapping-a-soil-quality-index-and-its-
https://research.wur.nl/en/publications/a-multivariate-approach-for-mapping-a-soil-quality-index-and-its-