Translating open-source remote sensing data to crop water productivity improvement actions

Safi, Abdur Rahim; Karimi, Poolad; Mul, Marloes; Chukalla, Abebe Demissie; Fraiture, Charlotte de

doi:10.1016/j.agwat.2021.107373

Cited by 14 publications

(7 citation statements)

References 30 publications

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“…In 2008-2018, the average estimated wheat yield was 3,203 kg•ha -1 , and the average estimated potato yield was 31,495 kg•ha -1 . This was comparable to the reported wheat yield of 3,000 kg•ha -1 (Safi et al, 2022).…”

Section: Crop Water Productivitysupporting

confidence: 87%

“…As a result, the number of growers in the estate, farmer association, and the individual was 2.87, 0.87, and 0.35 kg•m -3 , respectively. The result was comparable with standard ranges of the global WP from 0.62-11 kg•m -3 (Safi et al, 2022). As regards lower Baro farmers who produce crops, the average water adequacy could be impacted by factors other than general water availability as shown in Table 4.…”

Section: Land Productivitysupporting

confidence: 71%

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Satellite ET-based irrigation performance: Strategies to increase rainfed crops production in the lower Baro watershed, Ethiopia

Befikadu Deneke,

Shetty,

Fufa

2023

Journal of Water and Land Development

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Satellite-based irrigation performance is a valuable tool for improving yields in irrigated areas across the world and requires adequate land for long-term development. This study aimed to increase irrigation performance and yield gap variation of rainfed crops using the database of FAO's Water Productivity Open Access Portal (WaPOR) and the Global Yield Gap Atlas. The evapotranspiration (ET) performance of irrigation is expressed in equity (CV of ET), reliability, adequacy (CV of ET), and water productivity (kg•m -3 ). The rainfed crops are interpreted in terms of metric tonnes/ha. Specifically, 20,325 km 2 of suitable pastoral land across eight sub-classes was converted to rainfed rice, sugarcane, maize, and vegetable crops. Results showed that the R 2 value was 0.97 at Baro Itang and -0.99 at Sor Metu, with the Baro Gambella sub-catchment having the largest yield gap of 4. 435.2, 8.870.4, and 10.080•10 6 kg when the yield increased by 1/3, 2/3, and 3/4. On the other hand, Gumero Gore had the smallest yield gap of 10,690, 29,700, and 33,750 kg, respectively. The management regime was 2.87, 0.87, and 0.35 kg•m -3 for growers in the estate, farmer association, and individual, respectively. The study concludes that no single irrigation technique can be considered the best, and a thorough analysis of spatiotemporal variation of the irrigation performance indicators and the yield gap in the water-scarce lower Baro watershed is required.

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Section: Crop Water Productivitysupporting

confidence: 87%

Section: Land Productivitysupporting

confidence: 71%

Satellite ET-based irrigation performance: Strategies to increase rainfed crops production in the lower Baro watershed, Ethiopia

Befikadu Deneke,

Shetty,

Fufa

2023

Journal of Water and Land Development

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“…Combining land cover maps with these types of data, such as the FAO's Water Productivity through Open access Remotely sensed derived data (WaPOR, (Food and Agriculture Organization 2018)), would enable assessment not only of changes in irrigated areas over time but also of variability in water use and water productivity across new and existing irrigated croplands. Such analyses would provide valuable insights about how agricultural expansion is influencing overall consumptive water use within a region and help to identify areas of lower water use productivity that require interventions or remediation to ensure limited water resources are used effectively and efficiently (Chukalla et al 2022, Safi et al 2022.…”

Section: Role Of Earth-observationmentioning

confidence: 99%

Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis

Higginbottom

Adhikari

Foster

2023

Environ. Res. Lett.

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The expansion of irrigated croplands throughout the 20th century boosted global agricultural productivity, yet limited improvement occurred in sub-Saharan Africa where many irrigation schemes and policies under-delivered. We mapped the distribution of croplands under active irrigation between 1986 and 2020 for one of Africa’s largest and most important transboundary river basins – the Senegal River Valley (SRV); using Landsat imagery with a Random Forest classifier and Hidden Markov Model. We document two distinct epochs of irrigation development. Initially, a period of stagnation where less than 900 ha per year was added, lasting until 2008. Followed by a boom phase of rapidly expanding intensively irrigated production with ∼ 9,000 ha per year added for the last 12 years. These epochs overlap with national agricultural policy frameworks: the 1980s laissez-faire policies limited state involvement in agriculture and promoted Asian imports; followed by a more interventionist period focused on promoting domestic production following the food price crisis of 2008.

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“…Furthermore, if properly screened, this spatial index allows for a more efficient irrigation through identification of the most vulnerable areas with the greatest insufficiency of water supply, while not irrigate the field on the whole, thus providing the best practice of water-resource management. Safi et al (2022) also used NDMI values (so called hot spot and average) to determine the deficiency levels of water supply in such crops as irrigated wheat, potatoes, and grapes as a part of general methodology for estimating plants stress.…”

Section: Introductionmentioning

confidence: 99%

Normalised difference moisture index in water stress assessment of maize crops

Lykhovyd,

Sharii

2024

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Remote sensing is a promising technique for better management of water resources in agriculture through improvement of dynamic control and operational scheduling on irrigated croplands. The main goal of this study was to identify the possibilities of application of the normalised difference moisture index (NDMI) to water stress monitoring in maize crops, and to determine the relationship between the index and soil moisture content. The study was carried out in 2019–2021 in the experimental fields of disturbed maize, cultivated on dark-chestnut soils in the Southern Ukraine at the NAAS Institute of Climate-Smart Agriculture. The crop cultivation technology was common for the conditions of the steppe zone of Ukraine. Actual soil moisture content was determined by gravimetric method in the pre-sowing and post-harvest period. The NDMI values were calculated using cloudless aerospace images from the satellites Landsat 8, Sentinel-2, and MODIS with 250 m resolution. It was revealed that the seasonal NDMI dynamics perfectly reflected the water-supply conditions of the disturbed maize, and could be used for operational monitoring and scheduling of irrigation. The parameters of the water-supply conditions were determined in 2021, which was the wettest year of the study: the cumulative seasonal NDMI reached 1.71, while the highest water stress was recorded in the driest year, 2020, – the cumulative NDMI was 0.15. Additionally, there was a moderately strong negative correlation between NDMI and soil moisture content, and the coefficient of determination was 0.62. The linear regression models, developed to predict soil moisture content in the 0–100 cm layer depending on the NDMI values, had good fitting quality and reasonable accuracy, but they required further calibration and extension of the initial dataset to provide more robust and reliable results for practical implementation. Based on the results of the study, spatial NDMI could be considered a good and reliable tool for improving irrigation water management. Further studies should focus on the practical implementation of the NDMI-based model of moisture-content estimation, as well as on the possibilities of the index usage for mapping irrigated lands.

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Translating open-source remote sensing data to crop water productivity improvement actions

Cited by 14 publications

References 30 publications

Satellite ET-based irrigation performance: Strategies to increase rainfed crops production in the lower Baro watershed, Ethiopia

Satellite ET-based irrigation performance: Strategies to increase rainfed crops production in the lower Baro watershed, Ethiopia

Rapid expansion of irrigated agriculture in the Senegal River Valley following the 2008 food price crisis

Normalised difference moisture index in water stress assessment of maize crops

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