Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Alexander Kmoch"'
Autor:
Desalew Meseret Moges, Holger Virro, Alexander Kmoch, Raj Cibin, Rohith A. N. Rohith, Alberto Martínez-Salvador, Carmelo Conesa-García, Evelyn Uuemaa
Publikováno v:
Water, Vol 16, Iss 19, p 2805 (2024)
This study introduces a time-lag-informed Random Forest (RF) framework for streamflow time-series prediction across diverse catchments and compares its results against SWAT predictions. We found strong evidence of RF’s better performance by adding
Externí odkaz:
https://doaj.org/article/1aada2ce66fa40f19c87a3d1c1f55035
Autor:
Marta Jemeļjanova, Raoul A. Collenteur, Alexander Kmoch, Jānis Bikše, Konrāds Popovs, Andis Kalvāns
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 47, Iss , Pp 101416- (2023)
Study region:: The Baltic countries (Estonia, Latvia, Lithuania), North Eastern Europe. Study focus:: Time series models are a convenient tool for modeling hydraulic head time series due to their parsimonious parameterization and quick calculation ti
Externí odkaz:
https://doaj.org/article/a7ddaa4c00cf443b965beaa373e73ce0
Publikováno v:
Big Earth Data, Pp 1-20 (2022)
A Discrete Global Grid System (DGGS) is a type of spatial reference system that tessellates the globe into many individual, evenly spaced, and well-aligned cells to encode location and, thus, can serve as a basis for data cube construction. This faci
Externí odkaz:
https://doaj.org/article/e38e871e44a446f89ceca5354b8d7878
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 41, Iss , Pp 101070- (2022)
Study region: The Porijõgi catchment in Estonia, Northern Europe. Study focus: The lack of adequate precipitation gauges has long been a major obstacle for hydrological modeling. To date, the global availability of satellite and reanalysis precipita
Externí odkaz:
https://doaj.org/article/b0c2bb9970a84f30ba15344fd8e8b8d7
Publikováno v:
Water, Vol 14, Iss 13, p 1988 (2022)
Soil and land use information are important inputs for physically-based hydrological modeling such as SWAT. Although fine resolution local or regional data are often preferred for modeling, it is not always reliable that these data can lead to better
Externí odkaz:
https://doaj.org/article/bee69bb6bdc746bca4c767ad110ec174
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3482 (2020)
Freely available global digital elevation models (DEMs) are important inputs for many research fields and applications. During the last decade, several global DEMs have been released based on satellite data. ASTER and SRTM are the most widely used DE
Externí odkaz:
https://doaj.org/article/030fdfbc8ce44fb79920137094addc1d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 4, p 132 (2018)
We analyzed the corpus of three geoscientific journals to investigate if there are enough locational references in research articles to apply a geographical search method, such as the example of New Zealand. Based on all available abstracts and all f
Externí odkaz:
https://doaj.org/article/10b5f54e4cee4686bef2f6e09542f4b6
Publikováno v:
AGILE: GIScience Series. 3:1-11
Water quality (WQ) modeling can be used for gaining insight into WQ issues in order to implement effective mitigation efforts. Process-based nutrient models are very complex, requiring a lot of input parameters and computationally expensive calibrati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08d406ff8ba2cfab35112c6778682445
https://doi.org/10.5194/agile-giss-3-66-2022
https://doi.org/10.5194/agile-giss-3-66-2022
Autor:
Alexander Kmoch, Evelyn Uuemaa
In this paper, we discuss new challenges and opportunities in teaching geoinformatics on a conceptual level. We pose that spatial is not special anymore from a technological point of view, but at the same time teaching spatial thinking is more challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1afc7a286206289afa789f5ad4f0643
https://agile-giss.copernicus.org/articles/3/65/2022/
https://agile-giss.copernicus.org/articles/3/65/2022/
Discrete Global Grid Systems (DGGS) are spatial reference systems that use a hierarchical tessellation of cells to partition and address the globe and provide alternative spatial data format and indexing methods as compared to traditional vector and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4648dc3d43a439c61d59c6dc0a6404b7
https://agile-giss.copernicus.org/articles/3/41/2022/
https://agile-giss.copernicus.org/articles/3/41/2022/