Assessing impact of climate change on Mundra mangrove forest ecosystem, Gulf of Kutch, western coast of India: a synergistic evaluation using remote sensing

Srivastava, Prashant K.; Mehta, Abhinav; Gupta, Manika; Singh, Sudhir Kumar; Islam, Tanvir

doi:10.1007/s00704-014-1206-z

Cited by 36 publications

(19 citation statements)

References 61 publications

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“…Many studies have proved the use of EO data namely groundwater [27,46,48,51,52], river water quality [55], coastal water [22], lake and wetlands [5,47,53,59,60], land use/land cover mapping [45,46,48,50,51], land use change trajectories [56], land use/land cover modeling [28,49], urban land use dynamics [4], hydrological modeling [31], forest mapping [44], cyclone tracking [16], soil characterization [37], climate change [54], slope estimation [57], landscape ecology [47,53], ocean studies [35,36] and watershed management [67], watershed prioritization [68]. GIS processing has become a critical step in hydrologic modeling since it contributes to generate model parameters in a spatially distributed manner.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Surface Runoff from Semi-arid Ungauged Agricultural Watershed Using SCS-CN Method and Earth Observation Data Sets

Rawat

Singh

2017

Water Conserv Sci Eng

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In the present study, Soil Conservation ServiceCurve Number (SCS-CN) method, Earth Observation (EO) data sets and Geographic Information System (GIS) have been used in order to estimate the surface runoff from Jhagrabaria an agricultural watershed of Allahabad district, Uttar Pradesh (India). LANDSAT-7ETM+, NOAA data and hydrologic soil groups have been used to prepare land use/land cover, rainfall and soil map. The traditional SCS-CN method for calculating the composite CN is very tedious and time demanding process of the hydrologic modeling. Therefore, GIS is now being used in combination with the SCS-CN method. The outcome of work showed 79.35 (CN II ) of normal condition, of dry condition 61.76 (CN I ) and of wet condition 89.84 (CN III ), respectively. This investigation outline that ungauged watershed exhibits an annual average of 14 years runoff volume as 3.58 × 10 6 m 3 from an average annual rainfall of 14 years 110.77 cm and the average annual surface runoff of 14 years was 23.83 cm and annual average runoff coefficient of 14 years was 0.22. The correlation analysis suggests that the strong correlation as R 2 (0.91) was observed between satellite drive rainfall and runoff from SCS-CN method. The developed rainfall-runoff model for the region will be useful to understand the watershed and its runoff flow characteristics.

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Section: Introductionmentioning

confidence: 99%

Estimation of Surface Runoff from Semi-arid Ungauged Agricultural Watershed Using SCS-CN Method and Earth Observation Data Sets

Rawat

Singh

2017

Water Conserv Sci Eng

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“…LULC change detection was carried out by calculating the area of each class. Further time interval variation calculated by using pivot table analysis for each class (Pasha et al, 2016;Srivastava et al, 2014).…”

Section: Mapping Of Study Areamentioning

confidence: 99%

“…It also provides a better understanding the relationships and interactions of natural and manmade phenomena from multi-temporal data. From the LULC data, we can obtain information about the current sites cumulative output of the interactions between natural and man-made activities (Misra & Balaji, 2015;Srivastava et al, 2014). Hence, these tools are helpful to develop information sources and support judgment making process in a plethora of coastal zone applications.…”

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confidence: 99%

“…This study helped in planning various management actions for protecting and conserve this ecosystem (Nayak & Bahuguna, 2001). Srivastava et al, (2014) evaluated mangrove forest change detection from 1994 to 2010 by hybrid classification approach using LISS-II and LIS-III imagery data in Mundra forest region. The study found total 11 classes showed significant change due to anthropogenic and sea level rise activities in the forest area.…”

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confidence: 99%

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Coastal Geomorphological and Land Use and Land Cover Study on Some Sites of Gulf of Kachchh, Gujarat, West Coast of India using Multi-Temporal Remote Sensing Data

Nayak

Fulekar

2017

IJARSG

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The coastal rapid changes are monitored by Remote sensing (RS) and Geographical information (GIS) tools for the conservation and management. Aims of this paper are to monitor morphological, total vegetation, and water index changes in last two and half decades (1989, 2002, 2016) using Remote Sensing and GIS. The study area is rapidly changing at an alarming rate due to anthropogenic and natural activities. Morphological changes on study area are presenting major anthropogenic actions. Between 1989 and 2016 period, a tropical cyclone in 1998 caused a major change in mudflat area which reduced from 1143.97 to 459.07 km 2 . More than fifty percent changes were observed in the built-up area and salt pan which increased from 9.18 to 18.17 km 2 and 51.55 to 90.32 km 2 respectively. The mangrove class increased from 180.63 to 296.5 km 2 showing better restoration and conservation practices of Gujarat government. The NDVI supports these results by increasing maximum positive index value from 1989 to 2016. This study indicates that Gulf of Kachchh coastal is undergone excessive pressure due to the rapid development of the surroundings artificial landscape, where socio-economic factors lead to changes in the near environment, as well as proliferative activities of salt production affecting the quality in the coastal ecosystem. For coastal conservation, the government introduced socio-economic activities, designing strict management policies and awareness programs for local communities about the importance of coastal for protection and management.

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“…The effective mean atmospheric temperature (T a ) was calculated using the near-surface air temperature, acquired from local weather stations. The effective mean atmospheric transmittance (s 6 ) was calculated using the equations described in Qin et al (2001) or Srivastava et al (2014b) with water vapor as the parameter. The water vapor of the study area was estimated to be between 0.3 and 0.4 g/cm 2 according to weather station data.…”

Section: Retrieval Of Land Surface Temperature (Lst)mentioning

confidence: 99%

Mapping and evaluation of landscape ecological status using geographic indices extracted from remote sensing imagery of the Pearl River Delta, China, between 1998 and 2008

2016

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This paper presents a method of mapping and monitoring ecological quality and environmental change using an ecological evaluation model (EEM), which is based on remote sensing data of the Pearl River Delta region in Guangdong, China. Five geographical indices were selected: Impervious Surface, Normalized Difference Vegetation Index, Land Surface Temperature, and Greenness and Brightness generated from the Tasseled Cap Transformation. These geographical indices are of ecological significance and they were used as variables to build the EEM through factor analysis. In addition, land use maps derived from remote sensing data were overlaid on these five index maps to analyze the effects of land use change on ecological status. Based on the EEM values, five levels of ecological zones were identified using a standarddeviation segmenting method. The results showed that the areas of the first and second levels decreased significantly, those of the third and fourth levels increased, and the area of the fifth level remained unchanged. It was established that the remote sensing method is practical for the analysis of ecological change, thus this work could be considered a case study for other ecological monitoring research.

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Assessing impact of climate change on Mundra mangrove forest ecosystem, Gulf of Kutch, western coast of India: a synergistic evaluation using remote sensing

Cited by 36 publications

References 61 publications

Estimation of Surface Runoff from Semi-arid Ungauged Agricultural Watershed Using SCS-CN Method and Earth Observation Data Sets

Estimation of Surface Runoff from Semi-arid Ungauged Agricultural Watershed Using SCS-CN Method and Earth Observation Data Sets

Coastal Geomorphological and Land Use and Land Cover Study on Some Sites of Gulf of Kachchh, Gujarat, West Coast of India using Multi-Temporal Remote Sensing Data

Mapping and evaluation of landscape ecological status using geographic indices extracted from remote sensing imagery of the Pearl River Delta, China, between 1998 and 2008

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