Irrigating from space: using remote sensing for agricultural water management – World

Irrigating from space: how remote sensing technology can make a difference

It goes without saying that water is key to producing the food we eat.

But water is becoming increasingly scarce, driven in part by population growth and climate change. Given water’s importance to agriculture – irrigated agriculture already accounts for 70 percent of global water withdrawals – improving agricultural water use is vital.

The Sustainable Development Goals (SDGs)

1. Goal 2: Zero Hunger
2. Goal 6: Clean Water and Sanitation
3. Goal 13: Climate Action

Introduction

A new investment brief looks at the use of remote sensing to assess and monitor agricultural water productivity, with a focus on water-scarce environments.

Published jointly by FAO and the World Bank, “Irrigating from space: using remote sensing for agricultural water management” specifically looks at the use of the FAO-developed WaPOR – Water Productivity through Open access of Remotely sensed derived data portal.

Benefits of Remote Sensing Technology

• Real-time satellite data
• Monitor water productivity
• Identify and reduce water productivity gaps
• Calculate key variables
• Contribute to estimation of actual water consumption, irrigation water application, and economic irrigation water productivity (EIWP)

Importance of WaPOR

The brief’s authors argue that the correct application of WaPOR combined with economic data can lead to better policy and investment decision-making and more sustainable agricultural water management in water-scarce regions.

Cost-effective Alternative

FAO Economist Luis Dias Pereira, one of the brief’s authors, explains that EIWP is an important indicator for policymaking. “It puts value in each drop of water that is used, providing a metric that can compare performances from farm to farm in complex multi-cropping systems,” he said.

Data collected in the field or from hydro-meteorological stations is still extremely valuable. Remote sensing cannot fully replace field observations, but it can reduce the frequency and therefore cost of field data collection considerably.

Case Study: Lebanon’s Bekaa Valley

Using Lebanon’s Bekaa Valley as a case study, the brief’s authors applied a five-step methodology to calculate EIWP for irrigated wheat and potato crops in three of the Valley’s governates from 2014/15 to 2018/19. The Bekaa Valley is Lebanon’s breadbasket. The long-term sustainability of its agricultural output, which contributes significantly to the country’s economy, depends on good water management.

WaPOR can identify best and under-performing farms. It can also assess whether EIWP is strongly linked to irrigation volumes or whether factors like weather, soil conditions, and agricultural practices also play an important role. This can help policymakers target, both geographically and in terms of scope, specific policies for each given crop.

But the authors recognize that often the most impactful interventions can only be designed when looking at a crop system as a whole. For instance, data from the Bekaa Valley case study show that early season potatoes are ten times more profitable and with a much higher EIWP than wheat. Although potatoes cannot replace wheat, the result shows that the choice of crops and cropping systems can have a much larger impact than adjustments in current agricultural practices for one crop.

The authors note that shifting to crops or practices with high EIWP can also mean higher water consumption.

On average, potatoes in Bekaa need more irrigation water than wheat. Shifting to high water-productive systems may require control of – and a decrease in – irrigated areas, as well as possible restrictions or caps on water withdrawals, if water consumption is to remain stable. Remote sensing can help monitor these changes.

Accurate crop system-wide analysis is key for introducing and monitoring impactful policies, which is where remote sensing can play a big role. According to FAO Geospatial and Data Analyst Andry Rajaoberison, another of the brief’s authors, crop system-wide analysis using data from WaPOR could be a game changer.

“This type of analysis could deliver more conclusive results regarding changes for higher average EIWP and the impact water policies have on the region’s overall irrigation water consumption,” he said.

Different Uses of WaPOR

The authors argue that the analysis carried out for the Bekaa Valley can be applied to any water-scarce system and contribute to water productivity assessments in data-scarce contexts.

The tool could be used to create policies related to irrigated areas and cropping pattern controls as well as for more traditional irrigation water management policies, like determining and monitoring compliance with water quotas. It could also be used with surveys to set the value of water and establish water prices. And data obtained through WaPOR could help inform dialogue around energy prices in agriculture.

Conclusion

“WaPOR not only gives us opportunities to design well-informed water management policies and investments but also to monitor the results of those policies and investments in real time, and that is powerful,” said Edoardo Borgomeo, Water Specialist with the World Bank.

SDGs, Targets, and Indicators

1. SDG 6: Clean Water and Sanitation

   • Target 6.4: By 2030, substantially increase water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity and substantially reduce the number of people suffering from water scarcity.
   • Indicator 6.4.1: Change in water-use efficiency over time.
   • Indicator 6.4.2: Level of water stress: freshwater withdrawal as a proportion of available freshwater resources.

2. SDG 2: Zero Hunger

   • Target 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding, and other disasters, and that progressively improve land and soil quality.
   • Indicator 2.4.1: Proportion of agricultural area under productive and sustainable agriculture.
   • Indicator 2.4.2: Average income of small-scale food producers, by sex and indigenous status.

Table: SDGs, Targets, and Indicators

Analysis

1. Which SDGs are addressed or connected to the issues highlighted in the article?

The issues highlighted in the article are connected to SDG 6: Clean Water and Sanitation and SDG 2: Zero Hunger.

2. What specific targets under those SDGs can be identified based on the article’s content?

Based on the article’s content, the specific targets identified are:

– Target 6.4: By 2030, substantially increase water-use efficiency across all sectors and ensure sustainable withdrawals and supply of freshwater to address water scarcity and substantially reduce the number of people suffering from water scarcity.

– Target 2.4: By 2030, ensure sustainable food production systems and implement resilient agricultural practices that increase productivity and production, that help maintain ecosystems, that strengthen capacity for adaptation to climate change, extreme weather, drought, flooding, and other disasters, and that progressively improve land and soil quality.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

The article mentions or implies the following indicators that can be used to measure progress towards the identified targets:

– Indicator 6.4.1: Change in water-use efficiency over time.

– Indicator 6.4.2: Level of water stress: freshwater withdrawal as a proportion of available freshwater resources.

– Indicator 2.4.1: Proportion of agricultural area under productive and sustainable agriculture.

– Indicator 2.4.2: Average income of small-scale food producers, by sex and indigenous status.

The article discusses the use of remote sensing technology to assess and monitor agricultural water productivity, which can contribute to improving water-use efficiency (Indicator 6.4.1) and addressing water scarcity (Indicator 6.4.2). It also highlights the importance of implementing resilient agricultural practices and improving land and soil quality, which are key components of sustainable food production systems (Indicator 2.4.1). Additionally, the article mentions the average income of small-scale food producers, which is relevant to Indicator 2.4.2.

Overall, the article provides information and examples related to the identified targets and indicators, demonstrating their relevance to the issues discussed.

4. Table: SDGs, Targets, and Indicators

Behold! This splendid article springs forth from the wellspring of knowledge, shaped by a wondrous proprietary AI technology that delved into a vast ocean of data, illuminating the path towards the Sustainable Development Goals. Remember that all rights are reserved by SDG Investors LLC, empowering us to champion progress together.

Source: reliefweb.int

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