Analysis of Surface Water Resources Using Sentinel-2 Imagery

Bhangale, Ujwala; More, Swapnil; Shaikh, Tanishq; Patil, Suchitra; More, Nilkamal

doi:10.1016/j.procs.2020.04.287

Cited by 29 publications

(15 citation statements)

References 9 publications

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“…In this report, spectral bands belong to the visible and NIR portion of the spectrum, which correspond to band numbers 2 (visible blue), 3 (visible green), 4 (visible red) and 8 (near the infrared band). The selected bands have a 10 m spatial resolution [35]. Based on the limited daily rainfall data available, the cumulative rainfall on 5 March 2018 and 18 September 2020 was 15.6 mm/d and 134.6 mm/d, respectively, taken from the Lamia meteorological station located approximately 7 Km away from the NBS deployment area (Figure 3).…”

Section: Monitoring Flood Areas and Nature-based Solutions Using Spac...mentioning

confidence: 99%

“…The digital interpretation of the output raster image should be around 0.5 (threshold value) to represent water. The Green region was band 3 (560 nm), and the Near Infrared region was band 8 (842 nm) [35]. Using the pre-and post-flood NDWI images (raster images), the difference between images was computed in each threshold value using Equation (2) [37].…”

Section: Monitoring Flood Areas and Nature-based Solutions Using Spac...mentioning

confidence: 99%

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Evaluating Nature-Based Solution for Flood Reduction in Spercheios River Basin Part 2: Early Experimental Evidence

et al. 2022

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A number of Nature Based Solutions (NBS) are being used around the world in order to address various hydrometeorological hazards as a more environmentally friendly alternative to hard structures. Such a solution has been created in the Spercheios river basin in Central Greece, which is susceptible to heavy rainfall and river bank overflow due to flood water from upstream, in order to mitigate flood and drought impacts under current and future climate conditions. Here a first attempt is made to use actual measurements taken from various sources in the river, including in-situ and satellite data, in order to establish early experimental evidence of the NBS efficiency in the area. The measurements include data from automated hydrological stations from the OpenHi network, satellite remote sensing data and field measurements performed along the Spercheios River basin. For each measurement used, different analysis has been performed based on data availability and pertinence to the NBS efficiency. Preliminary results presented here show that the NBS functions as designed and provides protection against flooding in the area, and can potentially diminish the risk of drought. The results are in agreement with the numerical outputs already presented in our previous work.

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Section: Monitoring Flood Areas and Nature-based Solutions Using Spac...mentioning

confidence: 99%

Section: Monitoring Flood Areas and Nature-based Solutions Using Spac...mentioning

confidence: 99%

Evaluating Nature-Based Solution for Flood Reduction in Spercheios River Basin Part 2: Early Experimental Evidence

et al. 2022

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“…NDWI value ranges from þ1 to -1. An NDWI value near þ1 means more plant water content available, whereas an NDWI value near -1 indicates no plant water content (Gao 1996;Bhangale et al 2020). NDWI is calculated by using Equation (2):…”

Section: Normalised Difference Water Index (Ndwi)mentioning

confidence: 99%

“…The lower value of scaled-down NDWI at Nallabelli Mandal shows comparatively poor plant water content in that part of the Warangal region of Telangana, India. (Gao 1996;Bhangale et al 2020).…”

Section: Scaled-down Normalised Difference Water Indexmentioning

confidence: 99%

Development of multivariate integrated drought monitoring index (MIDMI) for Warangal region of Telangana, India

Tapas

Kumar

Mogili³

et al. 2021

Journal of Water and Climate Change

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Agricultural drought is one of the most frequent natural disasters in India's southern part. Remote sensing-based drought indices give advantages in terms of continuous monitoring of land surface. The crop production in the Warangal region in India's southern part is adversely affected due to insufficient rainfall and poor irrigation management. This study aims to develop a multivariate remote sensing-based composite drought index (CDI) to monitor the agricultural drought. Landsat-8 satellite data for all the 11 subregions of Warangal urban and 15 subregions of the rural district of Telangana from 2013 to 2020 for the month of May is used to obtain drought indices. The drought indices are used in this study to develop MIDMI and are compared according to the percentage area of the Warangal region under five different drought categories. In this study, the MIDMI is computed by a weighted average of five vegetation drought indices for the Warangal region as per the method developed by Iyengar and Sudarshan for the multivariate data. MIDMI for all the 26 subregions of the Warangal rural and Warangal Urban Districts is between 0.4 and 0.6, which makes the Warangal region moderately vulnerable to agricultural drought.

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“…Systeme Probatoire d’Observation dela Tarre (SPOT), which has an improved spatial resolution of 10 m but that is not available free of cost, is used in a few studies for applications of surface water 27 , 28 . The MultiSpectral Instrument (MSI) onboard Sentinel-2 with spatial resolutions of 10m and a revisit time of 10 days at equator and five days with two satellites under cloud free conditions is used to detect surface water 29 – 31 . Many works specifically reviewed recent accomplishments, current status, and limitations in this domain, including geographic scale, integration with in-situ hydrological data, cloud obscuration, and other land feature classes.…”

Section: Introductionmentioning

confidence: 99%

Detecting, extracting, and mapping of inland surface water using Landsat 8 Operational Land Imager: A case study of Pune district, India

Kulkarni

Khare²,

Khanum³

2022

F1000Res

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Background: Recent developments in optical satellite remote sensing have led to a new era in the detection of surface water with its changing dynamics. This study presents the creation of surface water inventory for a part of Pune district (an administrative area), in India using the Landsat 8 Operational Land Imager (OLI) and a multi spectral water indices method. Methods: A total of 13 Landsat 8 OLI cloud free images were analyzed for surface water detection. Modified Normalized Difference Water Index (MNDWI) spectral index method was employed to enhance the water pixels in the image. Water and non-water areas in the map were discriminated using the threshold slicing method with a trial and error approach. The accuracy analysis based on kappa coefficient and percentage of the correctly classified pixels was presented by comparing MNDWI maps with corresponding Joint Research Centre (JRC) Global Surface Water Explorer (GSWE) images. The changes in the surface area of eight freshwater reservoirs within the study area (Bhama Askhed, Bhatghar, Chaskaman, Khadakwasala, Mulashi, Panshet, Shivrata, and Varasgaon) for the year 2016 were analyzed and compared to GSWE time series water databases for accuracy assessment. The annual water occurrence map with percentage water occurrence on a yearly basis was also prepared. Results: The kappa coefficient agreement between MNDWI images and GSWE images is in the range of 0.56 to 0.96 with an average agreement of 0.82 indicating a strong level of agreement. Conclusions: MNDWI is easy to implement and is a sufficiently accurate method to separate water bodies from satellite images. The accuracy of the result depends on the clarity of image and selection of an optimum threshold method. The resulting accuracy and performance of the proposed algorithm will improve with implementation of automatic threshold selection methods and comparative studies for other spectral indices methods.

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Analysis of Surface Water Resources Using Sentinel-2 Imagery

Cited by 29 publications

References 9 publications

Evaluating Nature-Based Solution for Flood Reduction in Spercheios River Basin Part 2: Early Experimental Evidence

Evaluating Nature-Based Solution for Flood Reduction in Spercheios River Basin Part 2: Early Experimental Evidence

Development of multivariate integrated drought monitoring index (MIDMI) for Warangal region of Telangana, India

Detecting, extracting, and mapping of inland surface water using Landsat 8 Operational Land Imager: A case study of Pune district, India

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