Your search found 6 records
1 Chemin, Yann. (Ed.) 2012. Remote sensing of planet earth. Rijeka, Croatia: InTech. 240p.
Remote sensing ; GIS ; Vegetation ; Water resources ; Surface Water ; Mapping ; Monitoring ; Wetlands ; Lakes ; Satellite surveys ; Satellite imagery ; Image analysis ; Image processing ; Data ; Analytical methods ; Time series analysis ; Land cover ; Land classification ; Land use ; Tsunamis ; Snow cover ; Models ; Environmental effects ; Water vapour / Brazil / China / Italy / Indonesia / Thailand / Chile / Japan / Solomon Islands / Samoa Islands / Indonesia / Peruacu watershed / Tibet Plateau / Umbria / Subasio Mountain Regional Park / Banda Aceh / Phang Nga / Phuket / Tohoku / Okushiri Island / Banda Aceh
(Location: IWMI HQ Call no: IWMI Record No: H044692)
http://www.intechopen.com/books/show/title/remote-sensing-of-planet-earth
https://vlibrary.iwmi.org/pdf/H044692.pdf
https://vlibrary.iwmi.org/pdf/H044692.pdf
(28.13 MB) (28.13MB)
2 Wang, R.; Liu, Y. 2020. Recent declines in global water vapor from MODIS products: artifact or real trend? Remote Sensing of Environment, 247:111896. (Online first) [doi: https://doi.org/10.1016/j.rse.2020.111896]
Water vapour ; Moderate Resolution Imaging Spectroradiometer ; Models ; Evaluation ; Remote sensing ; Satellites ; Climate change ; Trends ; Observation
(Location: IWMI HQ Call no: e-copy only Record No: H049758)
(6.62 MB)
Atmospheric water vapor plays a key role in the global water and energy cycles. Accurate estimation of water vapor and consistent representation of its spatial-temporal variation are critical to climate analysis and model validation. This study used ground observational data from global radiosonde and sunphotometer networks to evaluate MODIS (MODerate-resolution Imaging Spectroradiometer) precipitable water vapor (PWV) products for 2000–2017. The products included the thermal-infrared (TIR) (Collection 6, C006) and its updated version (Collection 061, C061), and near-infrared (NIR) products (C061). Our results demonstrated that compared to its earlier version subject to sensor crosstalk problem, the C061_TIR data showed improved accuracy in terms of bias, standard deviation, mean absolute error, root mean square error, and coefficient of determination, regression slope and intercept. Among the PWV products, C061_NIR data achieved the best overall performance in accuracy evaluation. The C061_NIR revealed the PWV had a multi-year average of 2.50 ± 0.08 cm for the globe, 2.03 ± 0.06 cm for continents, and 2.70 ± 0.09 cm for oceans in 2000–2017. The PWV values yielded an increasing rate of 0.015 cm/year for the globe, 0.010 cm/year for continents, and 0.017 cm/year for oceans. Nearly 98.95% of the globe showed an increasing trend, 80.74% of statistical significance, mainly distributed within and around the tropical zones. The findings should be valuable for understanding of global water and energy cycles.
3 Singh, R. P.; Paramanik, S.; Bhattacharya, B. K.; Behera, M. D. 2020. Modelling of evapotranspiration using land surface energy balance and thermal infrared remote sensing. Tropical Ecology, 61(1):42-50. [doi: https://doi.org/10.1007/s42965-020-00076-8]
Evapotranspiration ; Models ; Land cover ; Energy balance ; Remote sensing ; Satellite imagery ; Landsat ; Infrared imagery ; Water vapour ; Normalized difference vegetation index ; Air temperature / India / Odisha
(Location: IWMI HQ Call no: e-copy only Record No: H049897)
(1.90 MB)
Accurate estimation of crop evapotranspiration (ET) is a key factor in crop water scheduling. The objective of this study was to estimate ET from the high-resolution satellite remote sensing data with integration of in situ observation. The surface energy balance model, Mapping Evapotranspiration with Internalized Calibration (METRIC) was utilised in this study for its simplicity, advantages, and effectiveness. It is a one-source model, which calculates the net radiation, soil heat flux, and sensible heat flux at every pixel level, and estimates the latent heat flux as the residual term in that energy budget equation. Intermediate steps like calculation of NDVI, surface temperature, and albedo served as important input parameters for ET estimate. Landat-8 satellite images were used to compute the ET in paddy field near CRRI, Cuttack, Odisha state in eastern India. Results indicated that the METRIC algorithm provided reasonably good ET over the study area with marginal overestimation in comparison to field observation by eddy covariance data. The satellite-based ET estimates represented in spatial scale has potential in improving irrigation scheduling and precise water resource management at local scales.
4 Shi, W.; Huang, S.; Liu, D.; Huang, Q.; Han, Z.; Leng, G.; Wang, H.; Liang, H.; Li, P.; Wei, X. 2021. Drought-flood abrupt alternation dynamics and their potential driving forces in a changing environment. Journal of Hydrology, 597:126179. [doi: https://doi.org/10.1016/j.jhydrol.2021.126179]
Drought ; Flooding ; Climate change ; Precipitation ; Meteorological factors ; Water vapour ; River basins ; Spatial distribution ; Time series analysis / China / Wei River Basin / Jing River Basin / Beiluo River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050405)
(8.36 MB)
Compared with a single drought or flood, drought-flood abrupt alternation (DFAA) may have more adverse impact on water resources management, crop production, and food security. However, existing studies have paid seldom attention on the evolution characteristics of DFAA in northern China, and their driving factors have not yet been fully revealed. To this end, DFAA events such as drought to flood (DTF) and flood to drought (FTD) are examined from 1960 to 2010 in the Wei River basin (WRB) located in northern China, which is the largest tributary of the Yellow River Basin. Firstly, the long-cycle drought-flood abrupt transition index (LDFAI) is defined to identify DFAA events during the flood season of WRB. Secondly, the spatiotemporal evolution characteristics and future trend variability of DFAA events are explored based on LDFAI. Finally, the driving factors of DFAA events are comprehensively evaluated using qualitative and quantitative combination framework. Results indicate that (1) the frequency of DTF events in the WRB presents a “less-more-less” variation pattern from southwest to northeast and shows a significant spatial difference. However, the FDT events are vice versa; (2) the flood season is dominated by FTD events in the WRB, and the upstream of the WRB and Jing River basin (JRB) are dominated by the DTF events before mutation point; (3) the four sub-regions of the WRB show oscillation changes of “DTF-FDT” with 35-year period, and are prone to DTF events after 2010 years; and (4) average water vapor pressure is the dominant factor of DFAA events in the WRB compared with other meteorological factors, whereas Arctic Oscillation among multiple teleconnection factors exerts strong impacts on DFAA dynamics. The findings may be significant to the early warning and prevention of flood and drought disasters in the WRB under the challenge of future climate change.
5 Rahman, A.; Kumar, P.; Dominguez, F. 2022. Increasing freshwater supply to sustainably address global water security at scale. Scientific Reports, 12:20262. [doi: https://doi.org/10.1038/s41598-022-24314-2]
Freshwater ; Water supply ; Water security ; Water scarcity ; Sustainability ; Climate change ; Water vapour ; Water yield ; Population
(Location: IWMI HQ Call no: e-copy only Record No: H051539)
(4.23 MB) (4.23 MB)
While significant parts of the globe are already facing significant freshwater scarcity, the need for more freshwater is projected to increase in order to sustain the increasing global population and economic growth, and adapt to climate change. Current approaches for addressing this challenge, which has the potential to result in catastrophic outcomes for consumptive needs and economic growth, rely on increasing the efficient use of existing resources. However, the availability of freshwater resources is rapidly declining due to over-exploitation and climate change and, therefore, is unlikely to sustainably address future needs, which requires a rethink of our solutions and associated investments. Here we present a bold departure from existing approaches by establishing the viability of significantly increasing freshwater through the capture of humid air over oceans. We show that the atmosphere above the oceans proximal to the land can yield substantial freshwater, sufficient to support large population centers across the globe, using appropriately engineered structures. Due to the practically limitless supply of water vapor from the oceans, this approach is sustainable under climate change and can transform our ability to address present and future water security concerns. This approach is envisioned to be transformative in establishing a mechanism for sustainably providing freshwater security to the present and future generations that is economically viable.
6 Chaqdid, A.; Tuel, A.; El Fatimy, A.; El Mocayd, N. 2023. Extreme rainfall events in Morocco: spatial dependence and climate drivers. Weather and Climate Extremes, 40:100556. [doi: https://doi.org/10.1016/j.wace.2023.100556]
Rain ; Precipitation ; Climate change ; Floods ; Climate variability ; Water vapour ; Weather forecasting / Morocco
(Location: IWMI HQ Call no: e-copy only Record No: H051946)
https://www.sciencedirect.com/science/article/pii/S2212094723000099/pdfft?md5=3e32e2ca13ddee147e5cc39ccab279e8&pid=1-s2.0-S2212094723000099-main.pdf
https://vlibrary.iwmi.org/pdf/H051946.pdf
https://vlibrary.iwmi.org/pdf/H051946.pdf
(9.72 MB) (9.72 MB)
The history of Morocco is replete with tragic natural disasters related to floods that led to numerous casualties and significant material losses. An important driver of these floods is extreme precipitation. Understanding the spatial characteristics of extreme precipitation events is critical to accurately predicting, assessing, and mitigating the risks they pose. Yet, the physical drivers of extreme precipitation events (EPEs) in Morocco remain poorly known. To address this gap, we apply a clustering method to divide Morocco into regions that are spatially consistent in terms of extreme precipitation. We then determine the drivers of extreme precipitation by analyzing atmospheric circulation anomalies during the occurrence of some well chosen EPEs in each region. Our findings suggest that Morocco can be subdivided into 5 spatially coherent regions. Extreme precipitation in the northwestern regions is associated with patterns similar to the negative phase of the North Atlantic Oscillation (NAO) with strong upper-level flow anomalies enhanced by Greenland blocking and/or Rossby wave breaking (RWB) episodes. By contrast, the southern regions are associated with relatively weak upper air troughs but strong water vapor transport anomalies from the tropics.
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