Your search found 4 records
1 Zhao, C.; Liu, L.; Wang, J.; Huang, W.; Song, X.; Li, C. 2005. Predicting grain protein content of winter wheat using remote sensing data based on nitrogen status and water stress. International Journal of Applied Earth Observation and Geoinformation, 7(1):1-9.
Remote sensing ; Satellite surveys ; Nitrogen ; Water stress ; Wheat ; Irrigated farming / China / Beijing
(Location: IWMI-HQ Call no: P 7663 Record No: H039412)
2 Song, P.; Zheng, X.; Li, Y.; Zhang, K.; Huang, J.; Li, H.; Zhang, H.; Liu, L.; Wei, C.; Mansaray, L. R.; Wang, D.; Wang, X. 2020. Estimating reed loss caused by locusta migratoria manilensis using UAV [Unmanned Aerial Vehicle] -based hyperspectral data. Science of the Total Environment, 719:137519. [doi: https://doi.org/10.1016/j.scitotenv.2020.137519]
Crop losses ; Estimation ; Locusta migratoria ; Unmanned aerial vehicles ; Monitoring ; Forecasting ; Models ; Satellite observation ; Remote sensing ; Vegetation index / China / Kenli / Dongying / Shandong
(Location: IWMI HQ Call no: e-copy only Record No: H049853)
(3.89 MB)
Locusta migratoria manilensis has caused major damage to vegetation and crops. Quantitative evaluation studies of vegetation loss estimation from locust damage have seldom been found in traditional satellite-remote-sensing-based research due to insufficient temporal-spatial resolution available from most current satellite-based observations. We used remote sensing data acquired from an unmanned aerial vehicle (UAV) over a simulated Locusta migratoria manilensis damage experiment on a reed (Phragmites australis) canopy in Kenli District, China during July 2017. The experiment was conducted on 72 reed plots, and included three damage duration treatments with each treatment including six locust density levels. To establish the appropriate loss estimation models after locust damage, a hyperspectral imager was mounted on a UAV to collect reed canopy spectra. Loss components of six vegetation indices (RVI, NDVI, SAVI, MSAVI, GNDVI, and IPVI) and two “red edge” parameters (Dr and SDr) were used for constructing the loss estimation models. Results showed that: (1) Among the six selected vegetation indices, loss components of NDVI, MSAVI, and GNDVI were more sensitive to the variation of dry weight loss of reed green leaves and produced smaller estimation errors during the model test process, with RMSEs ranging from 8.8 to 9.1 g/m;. (2) Corresponding model test results based on loss components of the two selected red edge parameters yielded RMSEs of 27.5 g/m2 and 26.1 g/m2 for Dr and SDr respectively, suggesting an inferior performance of red edge parameters compared with vegetation indices for reed loss estimation. These results demonstrate the great potential of UAV-based loss estimation models for evaluating and quantifying degree of locust damage in an efficient and quantitative manner. The methodology has promise for being transferred to satellite remote sensing data in the future for better monitoring of locust damage of larger geographical areas.
3 Nigussie, S.; Liu, L.; Yeshitela, K. 2021. Towards improving food security in urban and peri-urban areas in Ethiopia through map analysis for planning. Urban Forestry and Urban Greening, 58:126967. (Online first) [doi: https://doi.org/10.1016/j.ufug.2020.126967]
Food security ; Urban agriculture ; Peri-urban agriculture ; Food insecurity ; Food supply ; Field crops ; Vegetables ; Ecosystem services ; Farmland ; Land use ; Soil fertility ; Farmers ; Sustainable development ; Case studies / Ethiopia / Addis Ababa / Little Akaki River Catchment
(Location: IWMI HQ Call no: e-copy only Record No: H050185)
(4.10 MB)
Nowadays, food insecurity is intensifying in urban areas of Ethiopia, accompanied by a high food price. This paper aims to explore the capacity of farmlands (field crop areas and vegetable farmlands) to supply food and search for suitable locations for urban and peri-urban agriculture that are low in extent at the moment. Both the capacity assessment and the suitability analysis used overlay analysis with multiple criteria in ArcGIS software. The result shows that 62.4 % of the field crop areas display a medium and 88 % of the vegetable farmlands show high capacity. Furthermore, this paper studied the suitability of bare lands for urban and peri-urban agriculture. The result reveals that 57.2 % of the bare-lands are highly suitable for urban and peri-urban agriculture. Therefore, we recommend the improvement of the capacity of the field crop areas and vegetable farmlands by increasing the potential of each indicator, especially soil fertility, which shows low potential at the moment. We, furthermore, suggest the conversion of suitable bare lands into urban and peri-urban agricultural uses. The implementation of the suggestion might improve food security and contribute to sustainable development, green infrastructure planning, environmental protection, and social cohesion.
4 Liu, L.; Dobson, B.; Mijic, A. 2023. Optimisation of urban-rural nature-based solutions for integrated catchment water management. Journal of Environmental Management, 329:117045. [doi: https://doi.org/10.1016/j.jenvman.2022.117045]
Nature-based solutions ; Water management ; Integrated management ; Water availability ; Water quality ; Wetlands ; Models ; Hydrological cycle ; Floodplains ; Infrastructure ; Wastewater treatment ; Biodiversity ; Stormwater runoff ; Surface water ; Soil water ; River water ; Case studies / United Kingdom of Great Britain and Northern Ireland / Norfolk / Wensum / Yare / Norwich
(Location: IWMI HQ Call no: e-copy only Record No: H051917)
https://www.sciencedirect.com/science/article/pii/S0301479722026184/pdfft?md5=61feeff3ee8e040036149f557928f1cf&pid=1-s2.0-S0301479722026184-main.pdf
https://vlibrary.iwmi.org/pdf/H051917.pdf
https://vlibrary.iwmi.org/pdf/H051917.pdf
(11.70 MB) (11.7 MB)
Nature-based solutions (NBS) have co-benefits for water availability, water quality, and flood management. However, searching for optimal integrated urban-rural NBS planning to maximise co-benefits at a catchment scale is still limited by fragmented evaluation. This study develops an integrated urban-rural NBS planning optimisation framework based on the CatchWat-SD model, which is developed to simulate a multi-catchment integrated water cycle in the Norfolk region, UK. Three rural (runoff attenuation features, regenerative farming, floodplain) and two urban (urban green space, constructed wastewater wetlands) NBS interventions are integrated into the model at a range of implementation scales. A many-objective optimisation problem with seven water management objectives to account for flow, quality and cost indicators is formulated, and the NSGAII algorithm is adopted to search for optimal NBS portfolios. Results show that rural NBS have more significant impacts across the catchment, which increase with the scale of implementation. Integrated urban-rural NBS planning can improve water availability, water quality, and flood management simultaneously, though trade-offs exist between different objectives. Runoff attenuation features and floodplains provide the greatest benefits for water availability. Regenerative farming is most effective for water quality and flood management, though it decreases water availability by up to 15% because it retains more water in the soil. Phosphorus levels are best reduced by expansion of urban green space to decrease loading on combined sewer systems, though this trades off against water availability, flood, nitrogen and suspended solids. The proposed framework enables spatial prioritisation of NBS, which may ultimately guide multi-stakeholder decision-making, bridging the urban-rural divide in catchment water management.
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