Legacy soil data have been produced over 70 years in nearly all countries of the world. Unfortunately, data, information and knowledge are still currently fragmented and at risk of getting lost if they remain in a paper format.
There is a persistent narrative about the potential of Sub-Saharan Africa (SSA) to be a 'grain breadbasket' because of large gaps between current low yields and yield potential with good management, and vast land resources with adequate rainfall.
The aim of the World Soil Information Service (WoSIS) is to serve quality-assessed, georeferenced soil data (point, polygon, and grid) to the international community upon their standardisation and harmonisation.
Ghana SoilGrids; Compilation of Legacy Soil Data and the Production of Gridded Functional Soil Class and Property MapsMonica Cross 2018-04-25T13:55:21+00:00
2nd Global soil security conference, Paris, 2016-12-05/2016-12-06
A spatial data infrastructure for storing and exchanging global soil data The demand for soil data for agro-ecological and other environmental applications at national, regional and global level is growing; establishing a spatial data infrastructure (SDI) for global soil data is key for connecting soil data holders and serving the user community effectively. Organizations [...]
Spearheading collation, access and exchange of soil information in Africa Click here for more
Mapping soil properties of Africa at 250 m resolution: Random forests significantly improve current predictionsMonica Cross 2018-04-25T14:41:49+00:00
80% of arable land in Africa has low soil fertility and suffers from physical soil problems. Additionally, significant amounts of nutrients are lost every year due to unsustainable soil management practices.
Root zone plant-available water holding capacity of the Sub-Saharan Africa soil, version 1.0. Gridded functional soil information
Root zone plant-available water holding capacity of the Sub-Saharan Africa soil, version 1.0. Gridded functional soil informationMonica Cross 2018-04-25T14:13:07+00:00
The objective of this project is to produce a robust, quantitative framework, which is updateable and spatially explicit, to generate and maintain functional soil information on root zone depth and associated plant available soil water holding capacity for a major rainfed staple food crop (maize) in sub-Saharan Africa.
Comparative analysis of options for the spatial framework of yield gap analyses: a focus on soil dataMonica Cross 2018-04-25T14:45:16+00:00
Comparative analysis of options for the spatial framework of yield gap analyses: a focus on soil data Click here for more
Soil data harmonisation and geostatistical modelling efforts in support of improved studies of global sustainabilityMonica Cross 2018-04-25T14:36:33+00:00
Future Earth and other large international research and development programmes aim to provide the scientific evidence base required for developing into a sustainable future. Soil, which is an important provider of ecosystem services, remains one of the least developed data layers in global land models and uncertainties are large.