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1 Gao, F.; Wang, Y.; Zhang, Y. 2020. Evaluation of the crosta method for the retrieval of water quality parameters from remote sensing data in the Pearl River Estuary. Water Quality Research Journal, 55(2):209-220. [doi: https://doi.org/10.2166/wqrj.2020.024]
Rivers ; Estuaries ; Water quality ; Parameters ; Remote sensing ; Satellite imagery ; Landsat ; Thematic mapper ; Sediment ; Coastal waters ; Principal component analysis ; Models / China / Pearl River Estuary
(Location: IWMI HQ Call no: e-copy only Record No: H049885)
https://iwaponline.com/wqrj/article-pdf/55/2/209/709563/wqrjc0550209.pdf
https://vlibrary.iwmi.org/pdf/H049885.pdf
https://vlibrary.iwmi.org/pdf/H049885.pdf
(0.65 MB) (668 KB)
In recent decades, many algorithms have been developed for the retrieval of water quality parameters using remotely sensed data. However, these algorithms are specific to a certain geographical area and cannot be applied to other areas. In this study, feature-orientated principal component (PC) selection, based on the Crosta method and using Landsat Thematic Mapper (TM) for the retrieval of water quality parameters (i.e., total suspended sediment concentration (TSM) and chlorophyll a (Chla)), was carried out. The results show that feature-orientated PC TSM, based on the Crosta method, obtained a good agreement with the MERIS-based TSM product for eight Landsat TM images. However, the Chla information, selected using the feature-orientated PC, has a poor agreement with the MERIS-based Chla product. The accuracy of the atmospheric correction method and MERIS product may be the main factors influencing the accuracy of the TSM and Chla information identified by the Landsat TM images using the Crosta method. The findings of this study would be helpful in the retrieval of spatial distribution information on TSM from the long-term historical Landsat image archive, without using coincident ground measurements.
2 Ashwini, K.; Verma, R. K.; Sriharsha, S.; Chourasiya, S.; Singh, A. 2023. Delineation of groundwater potential zone for sustainable water resources management using remote sensing-GIS and analytic hierarchy approach in the state of Jharkhand, India. Groundwater for Sustainable Development, 21:100908. [doi: https://doi.org/10.1016/j.gsd.2023.100908]
Groundwater potential ; Groundwater recharge ; Remote sensing ; Geographical information systems ; Thematic mapper ; Soil maps ; Land use ; Land cover ; Drainage ; Sensitivity analysis / India / Jharkhand
(Location: IWMI HQ Call no: e-copy only Record No: H051860)
(8.75 MB)
Groundwater abstraction in many parts of India is highly unregulated which has caused a gradual decrease in groundwater levels over the years. Normally surface water storage structures or recharge zones are developed without knowing if all the groundwater is getting recharged. The issue becomes serious in the plateau region where most of the rainfall goes as surface runoff. Here an effort was made to identify the groundwater potential recharge zones of the entire Jharkhand state using Remote Sensing, GIS, and Analytic Hierarchy Approach techniques. Thematic layers which could contribute to the successful recharge of groundwater were prepared. The whole region was classified into four prospective groundwater potential zones: extremely low, low, moderate, and high. The results showed that approximately 3.28 and 77.34% of the total area falls under the High and average groundwater potential zones and the rest are under Low and Very low. Most of the high potential area is located in eight districts due to the alluvial plain region or a few mountains in that region namely Godda, Sahibganj, Pakur, Dumka, Purbi, Singhbhum, Saraikela-kharsawan and part of the Ranchi. The discharge data of 28 existing bore wells were used to endorse the groundwater potential zones. The further validation was made with an Area Under Curve (AUC) of 83%. According to the validation, the applied method produces a fairly dependable outcome for the state of Jharkhand.
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