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

2022 ◽  
Vol 261 ◽  
pp. 107373
Author(s):  
Abdur Rahim Safi ◽  
Poolad Karimi ◽  
Marloes Mul ◽  
Abebe Chukalla ◽  
Charlotte de Fraiture
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Water Productivity ◽  
Remote Sensing Data ◽  
Crop Water ◽  
Productivity Improvement ◽  
Sensing Data ◽  
Crop Water Productivity

scholarly journals Global Satellite-Based ET Products for the Local Level Irrigation Management: An Application of Irrigation Performance Assessment in the Sugarbelt of Swaziland

2019 ◽  
Vol 11 (6) ◽  
pp. 705 ◽  
Author(s):  
Poolad Karimi ◽  
Bhembe Bongani ◽  
Megan Blatchford ◽  
Charlotte de Fraiture
Keyword(s):  
Remote Sensing ◽  
Performance Assessment ◽  
Management Practices ◽  
Local Level ◽  
Water Productivity ◽  
Irrigation Management ◽  
Irrigation Performance ◽  
Crop Water ◽  
Management Regime ◽  
Crop Water Productivity

Remote sensing techniques have been shown, in several studies, to be an extremely effective tool for assessing the performance of irrigated areas at various scales and diverse climatic regions across the world. Open access, ready-made, global ET products were utilized in this first-ever-countrywide irrigation performance assessment study. The study aimed at identifying ‘bright spots’, the highest performing sugarcane growers, and ‘hot spots’, or low performing sugarcane growers. Four remote sensing-derived irrigation performance indicators were applied to over 302 sugarcane growers; equity, adequacy, reliability and crop water productivity. The growers were segmented according to: (i) land holding size or grower scale (ii) management regime, (iii) location of the irrigation schemes and (iv) irrigation method. Five growing seasons, from June 2005 to October 2009, were investigated. The results show while the equity of water distribution is high across all management regimes and locations, adequacy and reliability of water needs improvement in several locations. Given the fact that, in general, water supply was not constrained during the study period, the observed issues with adequacy and reliability of irrigation in some of the schemes were mostly due to poor scheme and farm level water management practices. Sugarcane crop water productivity showed the highest variation among all the indicators, with Estate managed schemes having the highest CWP at 1.57 kg/m3 and the individual growers recording the lowest CWP at 1.14 kg/m3, nearly 30% less. Similarly center pivot systems showed to have the highest CWP at 1.63 kg/m3, which was 30% higher than the CWP in furrow systems. This study showcases the applicability of publicly available global remote sensing products for assessing performance of the irrigated crops at the local level in several aspects.

scholarly journals HypeRvieW: an open source desktop application for hyperspectral remote-sensing data processing

2016 ◽  
Vol 37 (23) ◽  
pp. 5533-5550 ◽  
Author(s):  
Alberto S. Garea ◽  
Álvaro Ordóñez ◽  
Dora B. Heras ◽  
Francisco Argüello
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Open Source ◽  
Remote Sensing Data ◽  
Hyperspectral Remote Sensing ◽  
Sensing Data ◽  
Desktop Application

scholarly journals Open-source multispectral remote sensing data for the investigation of plant communities

2016 ◽  
Vol 17 (1) ◽  
pp. 42-80
Author(s):  
Anna Komarova ◽  
Ilona Zhuravleva ◽  
Vasily Yablokov
Keyword(s):  
Remote Sensing ◽  
Open Source ◽  
Plant Communities ◽  
Remote Sensing Data ◽  
Sensing Data ◽  
Multispectral Remote Sensing
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