This project will support the government to enhance the river basin planning in the Amu Darya river basin. In addition to preparing an investment portfolio in representative irrigation and drainage subprojects, the project will undertake a knowledge-based approach to deliver climate adaptive solutions for water resources management.

The project will use state-of-the-art downscaled Coupled Model Intercomparison Project Phase 6 (CMIP6) ensembles, other relevant hazards, hydrological/crop/planning model outputs and local information for the CRA assessment. This project will help the Asian Development Bank (ADB) to identify investments in key sectors with an explicit focus on reducing vulnerability to climate change within the basin.

The project will undertake:

  • Climate change risk analysis and mapping on key water-related sectors, impacts on rural livelihoods, and critical water infrastructures.
  • Climate change adaptation strategic planning and identify barriers in scaling up adaptation measures at multiple scales with stakeholder consultation and capacity building approach.
  • Identification of priority measures and portfolios for integration into subproject development as well as for future adaptation investment in the Amu Darya river basin. The identification will cover shortlisting of potential investments, screening of economic feasibility, and potential funding opportunities.

Previous related FutureWater project can be found here.

Agriculture is the most water demanding and consuming sector, globally responsible for most of the human induced water withdrawals. This abstraction of water is a critical input for agricultural production and plays an important role in food security as irrigated agriculture represents about 20 percent of the total cultivated land while contributing by 40 percent of the total food produced worldwide.

The FAO Regional Office for Asia and the Pacific (FAO-RAP) is concerned about this increase in water use over the last decades that has led to water scarcity in many countries. This trend will continue as the gap between water demand and supply is projected to widen due to factors such as population growth and economic development, and environmental factors such as land degradation and climate change.

Unfortunately, solutions to overcome the current and future water crisis by looking at the agricultural sector are not simple and have often led to unrealistic expectations. Misconceptions and overly simplistic (and often erroneous) views have been flagged and described over the last recent decades. However, uptake of those new insights by decision makers and the irrigation sector itself has been limited.

The “Follow the Water” project will develop a Guidance Document that summarizes those aspects and, more importantly, quantifies the return flows that occurs in irrigated systems. Those return flows are collected from a wide range of experiments and are collected in a database to be used as reference for new and/or rehabilitation irrigation projects.

The FAO/FutureWater project will also develop a simple-to-use tool to track water in irrigated systems using so-called “virtual tracers”. The tool will respond to the demand for a better understanding the role of reuse of water in irrigated agriculture systems. An extensive training package, based on the Guidance and the Tool, is developed as well.

FAO plays an essential role in backstopping the development of the Guidance and the Tool and promoting. FutureWater takes the lead in development of the Guidance, the Tool and the training package. With this, FAO and FutureWater will contribute to a sustainable future of our water resources.

Pakistan is ranked as the 8th most climate vulnerable country in the world as per the Global Climate Risk Index (2019) and in recent years has been facing the worst brunt of climate change. Irregular and intense precipitation, heatwaves, droughts, and floods have severely impacted the agriculture and water sector. Approximately, 90% of the country’s freshwater resources are utilized by the agricultural sector. However, lack of information services makes it a challenge to implement a water accounting system for improved water resources management.

The GCF funded project titled “Transforming the Indus Basin with Climate Resilient Agriculture and Water Management” aims to shift agriculture and water management to a new paradigm in which processes are effectively adapting to climate change and are able to sustain livelihoods. FAO Pakistan, as per the request of the Ministry of Climate Change, has designed the project to develop the country’s capacity to enhance the resilience of the agricultural and water sector. There are three major components:

1. Enhancing information services for climate change adaptation in the water and agriculture sectors
2. Building on-farm resilience to climate change
3. Creating an enabling environment for continued transformation

FutureWater will be actively involved in Component 1 which focuses on facilitating the development of a water accounting system and improving the availability and use of information services. Given the limited data availability in the region, FutureWater will integrate the use of remote sensing technologies within the existing Water Accounting methodology to address this gap. A capacity and needs assessment will be conducted and a series of tailor-made trainings will be designed subsequently to enable key government stakeholders to use open-source geospatial analysis tools as well as models to estimate real water savings, particularly in the context of agriculture. The trainings will help build the country’s capacity to implement water accounting at different spatiotemporal scales and cope with the worsening impacts of climate change.

The Mediterranean Region is facing growing challenges to ensure food and water supply as countries experience increasing demand and decreasing availability of natural resources. The nexus approach aims at managing and leveraging synergies across sectors with an efficient and integrated management of the Water, Energy, Food, and Ecosystems Nexus (WEFE).

BONEX objectives are to provide practical and adapted tools, examine concrete and context-adapted technological innovations, enhance policies and governance and facilitate WEFE Nexus practical implementation that balances the social, economic, and ecological trade-offs.

The project aims at producing a novel, transdisciplinary, diagnostic WEFE Bridging Framework, which combines methods in a context-specific manner and going beyond disciplinary silos. The diagnostic tools supporting the framework will be developed and tested in seven selected demonstration projects in the region which pilot innovative technologies (agrivoltaics, wastewater reuse systems, etc.).

As a result, BONEX will provide policymakers and practitioners with an interactive decision-making tool to evaluate trade-offs, synergies, and nexus solutions approaches in a transdisciplinary manner. Further, it will produce valuable experiences with tailoring innovative WEFE Nexus technologies that provides new business opportunities. The WEFE nexus approach is required to implement sustainable agri-food systems and preserve ecosystems.

Within BONEX FutureWater will actively contribute to the package of diagnostic tools. A simple water accounting tool (REWAS) will be used to evaluate if ‘Real Water Savings’ are achieved with innovative technologies. The water accounting tool evaluates water flows at field level and irrigation district scale and determines if any ‘real savings’ are achieved. The tool also incorporates the aspects of food production (crop yield) and will introduce components for evaluating energy and water quality aspects to complement the WEFE Nexus aspects. The seven demonstration projects will be used to demonstrate and iteratively develop this water accounting tool. A hydrological analysis is performed in selected locations to also evaluate the impact at basin (watershed) scale. Eventually the results from these analyses will be translated into policy implications and achievements of SDG’s (sustainable development goals).

This project is part of the PRIMA programme supported by the European Union.

Agriculture is a key sector of the Rwandan economy; it contributes approximately 33% to the gross domestic product and employs more than 70% of the entire labour force. Although some farmers are already using water-efficient irrigation infrastructure, too much of the available water is still lost due to unsustainable use of existing irrigation systems, and/or maximum crop yields are not achieved due to under-irrigation.

Hence, small to medium-sized food producers in Rwanda do not have sufficient access to information regarding optimal irrigation practices. To close this information gap, FutureWater has devised an innovation that can calculate a location-specific irrigation advice based on Virtual Weather Stations, expressed in an irrigation duration (“SOSIA”). The use of the outdated CROPWAT 8.0 method, and the lack of good coverage of real-time weather stations in Rwanda, means that current advice falls short. In addition, existing advisory services are often too expensive for the scale on which small to medium-sized farmers produce. There is a potential to increase the productivity of the irrigation water by up to 25%. Initially, the innovation will be disseminated via the Holland Greentech network, with a pilot in Rwanda consisting of 40 customers.

FutureWater has found with Holland Greentech an ideal partner to roll-out this innovation due to their presence in and outside of Rwanda, where they provide irrigation kits and advice. This offers the opportunity to quickly scale-up the proposed innovation. With their expertise in agro-hydrological modeling and the African agricultural sector, FutureWater and Holland Greentech respectively have acquired ample experience to make this innovation project and its knowledge development to a success.

UNCCD is the sole legally binding international agreement linking environment and development to sustainable land management. As some of the most vulnerable ecosystems and peoples can be found in arid, semi-arid and dry sub-humid areas, UNCCD especially addresses these drylands. Productive capacities in drylands are threatened by megatrends such as climate change and land degradation, where changing precipitation and temperature potentially exacerbate processes of degradation and where degraded lands make productive systems more vulnerable to impacts of climate change.

UNCCD therefore aims to support the reorientation of productive capacities towards sustainable and resilient patterns, in order to reverse the impact of land degradation and mitigate climate change impact. To this end, UNCCD is interested in the identification of regions and crops at a particularly high risk of land degradation and climate change impact. The outcomes of this activity should support informing of national governments of risk profiles of their main cash crops and, subsequently, support identification of alternatives for value chains that are projected to become insufficiently productive in the future.

Subsequent work will link towards opportunities around other megatrends such as population changes, consumption patterns, energy and shifting geopolitical patterns present in the identification of new value chains.

The NARC (National Agricultural Research Centre) is the governmental agricultural research institution at the national level in Jordan, and is the national umbrella for the applied scientific research and agricultural consultation.

Training courses, conferences, and specialized workshops are organized by NARC at their research centers throughout the country. This extension service can be improved with information on spatial data and near-real time observations, as can be generated through remote sensing technology. In particular, flying sensor (drone) technology provides added value to agricultural extension services. Flying sensor technology has observed a growing interest and demand in the agricultural sector of Jordan. To meet these training needs, IHE Delft is collaborating with FutureWater and HiView in providing this TMAT (tailor-made training).

The overarching objective of this TMAT program is to provide participants with practical knowledge on flying sensors and its relevance for the agricultural sector. The modules and topics are structured as follows:

  • Module 1: Basic Understanding of Flying Sensors (background, technology, and setting up drone units).
  • Module 2: Imagery Processing (with ICE, Metashape, and ODM software).
  • Module 3: Crop monitoring
  • Module 4: Advisory services and data dissemination.

The practice of using remote sensing imagery is becoming more widespread. However, the suitability of satellite or flying sensor imagery needs to be evaluated by location. Satellite imagery is available at different price ranges and is fixed in terms of spatial and temporal resolution.

TerraFirma, an organization in Mozambique with the task to map and document land rights, hired FutureWater, HiView and ThirdEye Limitada (Chimoio, Mozambique) to acquire flying sensor imagery over a pilot area near Quelimane, Mozambique. The objective of this pilot project is to determine the suitability of using flying sensor imagery for cadastre mapping in an area of small-scale agriculture in Mozambique.

Flying sensor imagery is adaptable and can be deployed at any requested time. The suitability of these remote sensing approaches is piloted in this study for a small-scale agricultural area in Mozambique. A pilot area is used as case study with flights made during a period of a few days in December 2020, by local flying sensor (drone) operators in Mozambique (ThirdEye Limitada).

The flying sensor imagery was acquired over the period of a few days in December 2020, for a total area of 1,120 hectares. This imagery was used as input for various algorithms that can be suitable for classification and segmentation, namely R packages (kmeans, canny edges, superpixels, contours), QGIS GRASS segmentation package, and ilastik software. This study shows some initial results of using flying sensor imagery in combination with these algorithms. In addition, comparison is made with high resolution satellite imagery (commercial and publicly available) to indicate the differences in processing and results.

With the conclusions from this pilot project, next steps can be made in using flying sensor imagery or high resolution satellite imagery for small-scale agriculture in Mozambique. The time and effort needed for the delineation of field boundaries can be largely reduced by using remote sensing imagery and algorithms for automatic classification and segmentation.

In irrigated agriculture options to save water tend to focus on improved irrigation techniques such as drip and sprinkler irrigation. These irrigation techniques are promoted as legitimate means of increasing water efficiency and “saving water” for other uses (such as domestic use and the environment). However, a growing body of evidence, including a key report by FAO (Perry and Steduto, 2017) shows that in most cases, water “savings” at field scale translate into an increase in water consumption at system and basin scale. Yet despite the growing and irrefutable body of evidence, false “water savings” technologies continue to be promoted, subsidized and implemented as a solution to water scarcity in agriculture.

The goal is to stop false “water savings” technologies to be promoted, subsidized and implemented. To achieve this, it is important to quantify the hydrologic impacts of any new investment or policy in the water sector. Normally, irrigation engineers and planners are trained to look at field scale efficiencies or irrigation system efficiencies at the most. Also, many of the tools used by irrigation engineers are field scale oriented (e.g. FAO AquaCrop model). The serious consequences of these actions are to worsen water scarcity, increase vulnerability to drought, and threaten food security.

There is an urgent need to develop simple and pragmatic tools that can evaluate the impact of field scale crop-water interventions at larger scales (e.g. irrigation systems and basins). Although basin scale hydrological models exist, many of these are either overly complex and unable to be used by practitioners, or not specifically designed for the upscaling from field interventions to basin scale impacts. Moreover, achieving results from the widely-used FAO models such as AquaCrop into a basin-wide impact model is time-consuming, complex and expensive. Therefore, FutureWater developed a simple but robust tool to enhance usability and reach, transparency, transferability in data input and output. The tool is based on proven concepts of water productivity, water accounting and the appropriate water terminology, as promoted by FAO globally (FAO, 2013). Hence, the water use is separated in consumptive use, non-consumptive use, and change in storage.

A complete training package was developed which includes a training manual and an inventory of possible field level interventions. The training manual includes the following aspects:

  1. Introduce and present the real water savings tool
  2. Describe the theory underlying the tool and demonstrating some typical applications
  3. Learn how-to prepare the data required for the tool for your own area of interest
  4. Learn when real water savings occur at system and basin scale with field interventions

For smallholder farming systems, there is a huge potential to increase water productivity by improved (irrigated) water management, better access to inputs and agronomical knowledge and improved access to markets. An assessment of the opportunities to boost the water productivity of the various agricultural production systems in Mozambique is a fundamental precondition for informed planning and decision-making processes concerning these issues. Methodologies need to be employed that will result in an overall water productivity increase, by implementing tailored service delivery approaches, modulated into technological packages that can be easily adopted by Mozambican smallholder farmers. This will not only improve the agricultural (water) productivity and food security for the country on a macro level but will also empower and increase the livelihood of Mozambican smallholder farmers on a micro level through climate resilient production methods.

This pilot project aims at identifying, validating and implementing a full set of complementary Technological Packages (TP) in the Zambezi Valley, that can contribute to improve the overall performance of the smallholders’ farming business by increasing their productivity, that will be monitored at different scales (from field to basin). The TPs will cover a combination of improvement on water, irrigation, and agronomical management practices strengthened by improved input and market access. The goal is to design TPs that are tailored to the local context and bring the current family sector a step further in closing the currently existing yield gap. A road map will be developed to scale up the implementation of those TPs that are sustainable on the long run, and extract concrete guidance for monitoring effectiveness of interventions, supporting Dutch aid policy and national agricultural policy. The partnership consisting of Resilience BV, HUB, and FutureWater gives a broad spectrum of expertise and knowledge, giving the basis for an integrated approach in achieving improvements of water productivity.

The main role of FutureWater is monitoring water productivity in target areas using an innovative approach of Flying Sensors, a water productivity simulation model, and field observations. The flying sensors provide regular observations of the target areas, thereby giving insight in the crop conditions and stresses occurring. This information is used both for monitoring the water productivity of the selected fields and determining areas of high or low water productivity. Information on the spatial variation of water productivity can assist with the selection of technical packages to introduce and implement in the field. Flying sensors provide high resolution imagery, which is suitable for distinguishing the different fields and management practices existent in smallholder farming.

In May 2020, FutureWater launched an online portal where all flying sensor imagery from Mozambique, taken as part of the APSAN-Vale project, can be found:

Project video: Portrait of the activities on water productivity