Page 64 - CIWA Water Data Revolution Overview Report

development on using RS technologies were required to improve the management of water
resources at the basin level. Figure 9 highlights the areas of interest for training and capacity
building according to the survey respondents. A majority of the organizations require training
and institutional development on the acquisition, processing, and interpretation of RS data (n =
14), followed by applying these data for water resource monitoring (n = 6). At least 2
organizations also stated trainings or institutional development were needed around using RS
data and tools for specific applications, such as drought and flood analyses, LULC assessments,
and water accounting.

Water accounting

LULC assessments

Flood monitoring and forecasting

Drought monitoring and assessment

Water resource monitoring and management

Aquistion, processing, and interpretation of RS
data

0 5 10 15
No. of Organizations

Figure 9: Areas in which organizations see a need for training or institutional development related to RS data and
tools.
Although there are a range of analytical tools using RS data, the WDR needs to prioritize which
tools are of greatest interest to the largest number of organizations for the capacity building
elements of the project. Thus, organizations were asked to rank their priorities to receive
trainings on the following tools that are widely applicable for cross-border water management
across Africa: FEWS, flood monitoring, drought monitoring, quantification of water storage in
reservoirs, water accounting, and monitoring of surface water quality. Each of these analytical
tools were of high interest to the organizations, as they can be used to improve the management
of shared resources while assisting organizations with meeting their mandates and objectives.
However, FEWS, flood monitoring, and drought monitoring gathered the greatest interest. As
explained in 7.3, these three types of analytical applications may be most sought after because
these tools enable organizations to prepare for increasingly common climate-related disasters.
In addition, respondents were asked to describe other tools they would like to be trained on that
were not explicitly named in the survey. Types of analytical tools and applications mentioned by
respondents included precipitation forecasting, monitoring of land use impacts on water
resources, and analyzes on aqueous sediment transport.

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