Mapping and monitoring of degraded lands in part of Jaunpur district of Uttar Pradesh using temporal spaceborne multispectral data

Sujatha, G.; Dwivedi, R. S.; Sreenivas, K.; Venkataratnam, L.

doi:10.1080/014311600210722

Cited by 67 publications

(38 citation statements)

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“…The soil moisture regime is mainly affected by variations in annual precipitation, evapotranspiration, seepage from canals and the leaching of surplus water into the sub-soil. When the groundwater table approaches the land surface (\2 m deep), it starts to affect the normal air circulation in the root zone of most plants, which ultimately affects their normal growth and yield (Sujatha et al 2000). An area is said to be waterlogged when the water table rises to an extent that the soil pores in the root zone of a crop become saturated, resulting in restriction of the normal circulation of air, decline in the level of oxygen and increase in the level of CO 2 (Anonymous 1976).…”

Section: Waterloggingmentioning

confidence: 99%

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

2010

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The recurrent flooding during monsoon and subsequent waterlogging in the northern Bihar plains and the magnitude of losses due to these hazards indicate the continuing vulnerability of the region to flood and waterlogging. Management of floods and waterlogging hazards in highly flood-prone regions of India, including Bihar state has been largely response oriented with little or no attention to mitigation and preparedness. This paper presents a method for spatial, Geographic Information Systems-based assessment of flood and waterlogging vulnerability and risk in northern Bihar plains. Multitemporal satellite data was used to evaluate the area statistics and dynamics of waterlogging over the period from 1975 to 2008. The flood proneness is evaluated at district level with reference to flood inundation during a period from 1998 to 2008. Census data were used to examine the socio-economic characteristics of the region through computation of population density, cultivators, agricultural labourers, sex ratio, children in age group 0-6 years and literates. The geohazard map derived by combining area prone to waterlogging and flood inundation was multiplied with socio-economic vulnerability map to derive the flood-waterlogging risk map of the region. The result shows that flood and water-logging pose highest risk to the central districts in the northern Bihar plains with 50.95% of the total area under high and very high risk.

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Section: Waterloggingmentioning

confidence: 99%

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

2010

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“…Since satellite images do not provide the required high spatial resolution until recently, they can only be used for recent source of information but can be combined with archive aerial photograph for higher temporal resolutions. The use of satellite images to study badlands varies from the classification of badlands through manual interpretation (Singh 1977;Singh 1984;Sujatha et al 2000;Dwivedi & Ramana 2003;National Remote Sensing Centre, India 2011) to more sophisticated spectral analysis (Zinck et al, 2001;Beguería, 2006;Alatorre and Beguería, 2009;Liberti et al, 2009;Nadal-Romero et al, 2012 knowledge about the relationship between gullies development and their characteristic features to improve the between-class spectral separability (Zinck et al 2001). Up to now, only manual interpretation of remote sensing image was applied in the lower Chambal valley badlands (Singh 1977;Singh 1984;Sujatha et al 2000;Pani & Mohapatra 2001;Dwivedi & Ramana 2003;National Remote Sensing Centre, India 2011), and no attempt has been made of using spectral classification of satellite images for this area.…”

Section: Introductionmentioning

confidence: 99%

Semi-automatic delineation of badlands using contrast in vegetation activity: a case study in the lower Chambal valley, India

Ranga

Rompaey

Poesen

et al. 2015

Geocarto International

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Population growth worldwide leads to an increasing pressure on the land. Recent studies reported that many areas covered by badlands are decreasing because parts of badlands are being levelled and converted into arable land. It is important to monitor these changes for environmental planning. This paper proposes a remote-sensing based detection method which allows mapping of badland dynamics based on seasonal vegetation changes in the lower Chambal valley, India. Supervised classification was applied on three Landsat (Thematic Mapper) images, from 3 different seasons; January (winter), April (summer) and October (post-monsoon). Different band selection methods were applied to get the best classification. Validation was done by ground referencing and a GeoEye-1 satellite image. The image from January performed best with overall accuracy of 87% and 0.69 of kappa. This method opens the possibilities of using semi-automatic classification for the Chambal badlands which is so far mapped with manual interpretations only.

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“…High calcium contents maintain the soil in aggregated form and adequate physical conditions, in agreement with the findings of Abbas and Khan (2007), who stated that remotely sensed data integrated with ground-truthing verification and physico-chemical analysis is a useful tool for the assessment of soil salinity and alkalinity. Remote sensing has been recommended for its potential to detect, map and monitor degradation issues (Sujatha et al, 2000) including their spread and effect with time (Sommer et al, 1998).…”

Section: Laboratory Analysis For Chemical Parametersmentioning

confidence: 99%

Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India

Ahmad

Pandey

2018

Solid Earth

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Abstract. Land degradation leads to alteration of ecological and economic functions due to a decrease in productivity and quality of the land. The aim of the present study was to assess land degradation with the help of geospatial technology -remote sensing (RS) and geographical information system (GIS) -in Bathinda district, Punjab. The severity of land degradation was estimated quantitatively by analyzing the physico-chemical parameters in the laboratory to determine saline or salt-free soils and calcareous or sodic soils and further correlating them with satellite-based studies. The pH varied between 7.37 and 8.59, electrical conductivity (EC) between 1.97 and 8.78 dS m −1 and the methyl orange or total alkalinity between 0.070 and 0.223 (HCO

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Mapping and monitoring of degraded lands in part of Jaunpur district of Uttar Pradesh using temporal spaceborne multispectral data

Cited by 67 publications

References 0 publications

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain

Semi-automatic delineation of badlands using contrast in vegetation activity: a case study in the lower Chambal valley, India

Assessment and monitoring of land degradation using geospatial technology in Bathinda district, Punjab, India

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