Challenges for drought assessment in the Mediterranean region under future climate scenarios

Y Tramblay, A Koutroulis, L Samaniego… - Earth-Science …, 2020 - Elsevier
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 …

Exploring machine learning models for soil nutrient properties prediction: A systematic review

O Folorunso, O Ojo, M Busari, M Adebayo… - Big Data and Cognitive …, 2023 - mdpi.com
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 …

[HTML][HTML] SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

L Poggio, LM De Sousa, NH Batjes, GBM Heuvelink… - Soil, 2021 - soil.copernicus.org
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 …

[HTML][HTML] Standardised soil profile data to support global map** and modelling (WoSIS snapshot 2019)

NH Batjes, E Ribeiro… - Earth System Science …, 2020 - essd.copernicus.org
Abstract The World Soil Information Service (WoSIS) provides quality-assessed and
standardised soil profile data to support digital soil map** and environmental applications …

Calibration‐free complementary relationship estimates terrestrial evapotranspiration globally

N Ma, J Szilagyi, Y Zhang - Water Resources Research, 2021 - Wiley Online Library
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 …

[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 …

[HTML][HTML] BESSv2. 0: A satellite-based and coupled-process model for quantifying long-term global land–atmosphere fluxes

B Li, Y Ryu, C Jiang, B Dechant, J Liu, Y Yan… - Remote Sensing of …, 2023 - Elsevier
Recent remote-sensing-based global carbon, water and energy budgets over land still
include considerable uncertainties. Most existing flux products of terrestrial carbon, water …

Soil moisture content retrieval from Landsat 8 data using ensemble learning

Y Zhang, S Liang, Z Zhu, H Ma, T He - ISPRS Journal of Photogrammetry …, 2022 - Elsevier
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 …

On the uncertainty induced by pedotransfer functions in terrestrial biosphere modeling

A Paschalis, S Bonetti, Y Guo… - Water Resources …, 2022 - Wiley Online Library
Hydrological, ecohydrological, and terrestrial biosphere models depend on pedotransfer
functions for computing soil hydraulic parameters based on easily measurable variables …

Satellites reveal Earth's seasonally shifting dust emission sources

A Chappell, NP Webb, M Hennen, K Schepanski… - Science of the Total …, 2023 - Elsevier
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 …