Challenges for drought assessment in the Mediterranean region under future climate scenarios
Droughts can have strong environmental and socio-economic impacts in the Mediterranean
region, in particular for countries relying on rain-fed agricultural production, but also in areas …
region, in particular for countries relying on rain-fed agricultural production, but also in areas …
Exploring machine learning models for soil nutrient properties prediction: A systematic review
Agriculture is essential to a flourishing economy. Although soil is essential for sustainable
food production, its quality can decline as cultivation becomes more intensive and demand …
food production, its quality can decline as cultivation becomes more intensive and demand …
[HTML][HTML] SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
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 …
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …
[HTML][HTML] Standardised soil profile data to support global map** and modelling (WoSIS snapshot 2019)
Abstract The World Soil Information Service (WoSIS) provides quality-assessed and
standardised soil profile data to support digital soil map** and environmental applications …
standardised soil profile data to support digital soil map** and environmental applications …
Calibration‐free complementary relationship estimates terrestrial evapotranspiration globally
While large‐scale terrestrial evapotranspiration (ET) information is essential for our
understanding of the Earth's water and energy cycles, substantial differences exist in current …
understanding of the Earth's water and energy cycles, substantial differences exist in current …
[HTML][HTML] Providing quality-assessed and standardised soil data to support global map** and modelling (WoSIS snapshot 2023)
NH Batjes, L Calisto… - Earth System Science Data, 2024 - essd.copernicus.org
Snapshots derived from the World Soil Information Service (WoSIS) are served freely to the
international community. These static datasets provide quality-assessed and standardised …
international community. These static datasets provide quality-assessed and standardised …
[HTML][HTML] BESSv2. 0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes
Recent remote-sensing-based global carbon, water and energy budgets over land still
include considerable uncertainties. Most existing flux products of terrestrial carbon, water …
include considerable uncertainties. Most existing flux products of terrestrial carbon, water …
Soil moisture content retrieval from Landsat 8 data using ensemble learning
Although detailed spatial and temporal distribution of soil moisture is crucial for numerous
applications, current global soil moisture products generally have low spatial resolutions (25 …
applications, current global soil moisture products generally have low spatial resolutions (25 …
On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling
Hydrological, ecohydrological, and terrestrial biosphere models depend on pedotransfer
functions for computing soil hydraulic parameters based on easily measurable variables …
functions for computing soil hydraulic parameters based on easily measurable variables …
Satellites reveal Earth's seasonally shifting dust emission sources
Establishing mineral dust impacts on Earth's systems requires numerical models of the dust
cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle …
cycle. Differences between dust optical depth (DOD) measurements and modelling the cycle …