scholarly journals Remote sensing-based assessments of land use, soil and vegetation status, crop production and water use in irrigation systems of the Aral Sea Basin. A review

2020 ◽  
Vol 11 ◽  
pp. 100078
Author(s):  
Christopher Conrad ◽  
Muhammad Usman ◽  
Lucia Morper-Busch ◽  
Sarah Schönbrodt-Stitt
2020 ◽  
Author(s):  
Christopher Conrad ◽  
Muhammad Usman ◽  
Lucia Morper-Busch ◽  
Sarah Schönbrodt-Stitt

<p>Extensive over-exploitation of land and water resources is characterizing irrigated agriculture in the Aral Sea Basin (ASB). Over decades, inefficient and excessive water use had remarkable negative impacts on the groundwater and soil quality, hence on crop production. The countries sharing to the ASB look for opportunities to increase the sustainability in the water intensive agricultural sector that is of utmost importance for the densely populated oases as well as for the ecosystems along the river systems. This is also of urgent pressure as there is high evidence that climate change will deplete natural storages such as glaciers. One major bottleneck for spatially targeted decision and policy-making is the absence of scientific information and tools that would allow for informed decisions, e.g. on the implementation of water saving technologies, alternative land use options or water allocation. A review on scientific literature published in the period 2008-2019 underpins the potentials of remote sensing technology in combination with climate data and further geospatial information to close this gap. However, the key question is how to increase the sustainability of irrigated agriculture and water security using this technology in reality? This contribution aims to outline requirements and challenges to bring knowledge from remote sensing into practice. This will be done using the example of the online-tool Water Use Efficiency Monitor for Central Asia (WUEMoCA, http://wuemoca.net/) developed within the German Water Initiative in Central Asia (https://www.cawa-project.net/).</p><p>It was observed that remote sensing-based results remain isolated as long as they are not integrated into accessible databases, thus are unlinked from regional knowledge and information platforms, e.g., providing commonly applied approaches to water distribution. The tool WUEMoCA combines the remote sensing knowledge with climate data and socio-economic information and serves as an online database with hydrological and land-use indicators requested by regional decision-makers. To increase the ownership of the WUEMoCA tool by potential users (water management authorities and governments) and to account for the sensitivity of data in transnational water management, a toolbox is integrated allowing for user-specific own calculations and development of local databases. By doing so, users can decide by themselves to share information with others or not. So far, user feedback from the water distribution sector and governmental departments in Uzbekistan, but also from other countries assessed WUEMoCA as an important regional data source and database, but also a calculation tool for supporting informed decisions-making, highlight the tool’s relevance for increasing water security in the ASB.</p><p>Technically, the next steps may include the development of early warning systems, e.g. for droughts. Yet, it must be clear to the responsible users from the region that long-running tools from research projects can never take over important national tasks. Long-term cooperation is required. In addition, for a sustainable development of such tools, national scientific institutions require a strengthening of the capacity in the application of geoinformation technology. The latter is indicated by the fact that almost all of the published articles were submitted under affiliations from abroad.</p>


Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 199
Author(s):  
Olimjon Saidmamatov ◽  
Inna Rudenko ◽  
Urs Baier ◽  
Elbek Khodjaniyazov

Energy plays an essential role in the modern society and can serve as one of the vital parameters of socio-economic development. Despite developments in technology, over three billion persons living in rural parts of the low- and middle-income countries continue to cover their energy needs for cooking through traditional ways by burning biomass resources. This paper as a case study focuses on the Aral Sea region of Uzbekistan, possessing a well-developed agricultural production with high livestock numbers and intensive crop production. The manure of the livestock farms is not used efficiently and the energy supply of the farms depends primarily on centrally produced gas and electricity. Some areas are not yet connected to the gas grid. Agriculture causes huge environmental damages in its current form. The benefit of biogas production would therefore be fivefold: (1) local energy source, (2) mitigation of environmental impacts, (3) reducing CH4-emissions, (4) producing organic fertilizer as a side product and (5) additional earnings for farmers.


2008 ◽  
Vol 14 (10) ◽  
pp. 2454-2468 ◽  
Author(s):  
CLEMENS SCHEER ◽  
REINER WASSMANN ◽  
KIRSTEN KIENZLER ◽  
NAZAR IBRAGIMOV ◽  
JOHN P.A. LAMERS ◽  
...  

2004 ◽  
Vol 55 (2) ◽  
pp. 155 ◽  
Author(s):  
T. G. Van Niel ◽  
T. R. McVicar

For high water usage cropping systems such as irrigated rice, the positive outcomes of producing a staple food source and sustaining the economy often come at the cost of high resource use and environmental degradation. Advances in geospatial technology will play an increasingly important role in raising productivity and resource use efficiency and reducing environmental degradation, both worldwide and within Australia. This paper reviews the current use of one of these technologies, remote sensing, with the rice-growing region in Australia as a case study. Specifically, we review applications of remote sensing in crop identification, area measurement, regional yield forecasting, and on-farm productivity monitoring and management. Within this context, consideration is given to classification algorithms and accuracy assessment, hyperspectral remote sensing, positional and areal accuracy, linear mixture modelling, methane (CH4) emissions, yield forecasting techniques, and precision agriculture. We also discuss the potential for using remote sensing to assess crop water use, which has received little attention in rice-based irrigation systems, even though it is becoming increasingly important in land and water management planning for irrigation areas. Accordingly, special attention is given to the role of remote sensing with respect to the surface energy balance, the relationship between surface temperature and remotely sensed vegetation indices, and water use efficiency. A general discussion of other geospatial issues, namely geographic information systems and spatial interpolation, is provided because earth-science analysis using remote sensing is often intrinsically integrated with other spatially based technologies and aspects of geographical science.


2016 ◽  
Author(s):  
Yun Yang ◽  
Martha C. Anderson ◽  
Feng Gao ◽  
Christopher R. Hain ◽  
Kathryn A. Semmens ◽  
...  

Abstract. As a primary flux in the global water cycle, evapotranspiration (ET) connects hydrologic and biological processes and is directly affected by water and land management, land use change and climate variability. Satellite remote sensing provides an effective means for diagnosing ET patterns over heterogeneous landscapes; however, limitations on the spatial and temporal resolution of satellite data, combined with the effects of cloud contamination, constrain the amount of detail that a single satellite can provide. In this study, we describe an application of a multi-sensor ET data fusion system over a mixed forested/agricultural landscape in North Carolina, USA during the growing season of 2013. The fusion system ingests ET estimates from a Two-Source Energy Balance (TSEB) model applied to thermal infrared remote sensing retrievals of land surface temperature from multiple satellite platforms: hourly geostationary satellite data at 4-km resolution, daily 1-km imagery from the Moderate Resolution Imaging Spectroradiometer (MODIS), and bi-weekly Landsat thermal data sharpened to 30-m. These multiple datastreams are combined using the Spatial-Temporal Adaptive Reflectance Fusion Model (STARFM) to estimate daily ET at 30-m resolution to investigate seasonal water use behavior at the level of individual forest stands and land cover patches. A new method, also exploiting the STARFM algorithm, is used to fill gaps in the Landsat ET retrievals due to cloud cover and/or the scan-line corrector (SLC) failure on Landsat 7. The retrieved daily ET timeseries agree well with observations at two AmeriFlux eddy covariance flux tower sites in a managed pine plantation within the modeling domain: US-NC2 located in a mid-rotation (20 year old) loblolly pine stand, and US-NC3 located in a recently clear cut and replanted field site. Root mean square errors (RMSE) for NC2 and NC3 were 0.99 mm d-1 and 1.02 mm d-1, respectively, with mean absolute errors of approximately 29 % at the daily time step, 12 % at the monthly time step, and 3 % over the full study period at two flux tower sites. Analyses of water use patterns over the plantation indicate increasing seasonal ET with stand age for young to mid-rotation stands up to 20 years, but little dependence on age for older stands. An accounting of consumptive water use by major land cover classes representative of the modeling domain is presented, as well as relative partitioning of ET between evaporation (E) and transpiration (T) components obtained with the TSEB. The study provides new insights about the effects of forest management and land use change on hydrological water balance, and the method developed has the potential to be used to routinely monitor hydrology and water use over heterogeneous landscapes using thermal remote sensing data.


2020 ◽  
Author(s):  
Claudio Gandolfi ◽  
Alessandro Castagna ◽  
Andrea Castelletti ◽  
Matteo Giuliani ◽  
Maria Chiara Lippera ◽  
...  

<p>Water resources planning at the basin scale is the keystone to adaptation of water resources systems to socio-economic and climate changes. Simulation and optimization models can provide a useful support to the planning process. Besides including all significant processes, they need to incorporate the contribution of the relevant stakeholders from the early stages of their development, particularly in areas where multiple concurring uses of water resources occur and where surface water-groundwater interactions are important.  This is the case of the plain of the Lombardy Region, Italy, where an ancient system of irrigation canals has been successfully used for centuries to supply huge amounts of water to a large irrigated area, which is also one of the most industrialized in Europe (Lombardy is one of the “Four Motors for Europe”, a transnational network of highly industrialized regions including Rhône-Alpes, Baden-Württemberg and Catalonia). Indeed, the Lombardy water resources have suffered recurrent crisis in the last years and a huge pressure has been raising on irrigation water use, which is by far the main consumptive use. We illustrate here an integrated approach to the analysis of different strategies of adaptation of irrigation systems to changing conditions, which accounts for the links between water use, crop production, energy consumption and hydrological conditions (as a proxy of the ecosystems quality).  We will consider the case study of the Adda river basin, an 8,000 km<sup>2</sup> basin including lake Como, where the requirements of hydropower production and irrigation supply need to strike a balance with lake tourism, flood protection and environment conservation.</p><p>The approach is based on a combination of simulation models (of upstream sub-basin, lake and downstream sub-basin) and optimization model (of lake regulation policy) that allow assessing the effects of different climate and technological scenarios. The former scenarios were obtained downscaling the regional climate projections provided by the CORDEX project till 2100, while for the latter we focused on measures to increase the efficiency of irrigation systems, that emerged as priority from the discussions with the stakeholders. Specifically, we considered different degrees of reconversion of irrigation methods from surface irrigation to more efficient methods (sprinkler or drip). The effects of the reconversion, under different climate projections, were assessed by running simulations with the IdrAgra spatially distributed agro-hydrological model, which provided the estimated values of crop water use, groundwater recharge, return flows, as well as of crop production and energy consumption.  The comparison of different reconversion intensities was carried out considering indicators for the satisfaction of crop water requirements, the energy consumption, the groundwater recharge, and the river hydrological regime. A number of remarks can be made from the analysis of the results, among which it clearly emerged that under the current trend of increasing temperature already at the mid of the century irrigation deficits and impacts on the river hydrological regime will be intolerable unless the irrigation system efficiency will increase significantly in vast portions of the study area. Finally, a preliminary estimate of the cost of interventions is provided.</p>


Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1637 ◽  
Author(s):  
Yubing Fan ◽  
Raymond Massey ◽  
Seong Park

In an irrigated multi-crop production system, farmers make decisions on the land allocated to each crop, and the subsequent irrigation water application, which determines the crop yield and irrigation water use efficiency. This study analyzes the effects of the multiple factors on farmers’ decision making and economic irrigation water use efficiency (EIWUE) using a national dataset from the USDA Farm and Ranch Irrigation Survey. To better deal with the farm-level data embedded in each state of the U.S., multilevel models are employed, which permit the incorporation of state-level variables in addition to the farm-level factors. The results show higher costs of surface water are not effective in reducing water use, while groundwater costs show a positive association with water use on both corn and soybean farms. The adoption of pressure irrigation systems reduces the soybean water use and increases the soybean yield. A higher EIWUE can be achieved with the adoption of enhanced irrigation systems on both corn and soybean farms. A high temperature promotes more the efficient water use and higher yield, and a high precipitation is associated with lower water application and higher crop yield. Intraclass correlation coefficients (ICC) suggest a moderate variability in water application and EIWUE is accounted by the state-level factors with ICC values greater than 0.10.


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