Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India

Rawat, J. S.; Kumar, Manish

doi:10.1016/j.ejrs.2015.02.002

Cited by 585 publications

(369 citation statements)

References 16 publications

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“…In this regard, an understanding of the land cover status and dynamics in Kirisia Forest is important since it has a direct impact on the hydrological capacity of the watershed and provision of water to the Mararal town and other settlements in Samburu County. Digital change detection techniques using multi-temporal satellite imagery has emerged as a reliable and cost effective method in the monitoring of spatio-temporal landcover dynamics in watershed ecosystems [26]- [28]. This approach is convenient because it exploits the regular data acquisition capacity of space technology through the use of satellites for the detection, mapping and quantification of land cover change.…”

Section: Introductionmentioning

confidence: 99%

Land Cover Dynamics in the Kirisia Forest Ecosystem, Samburu County, Kenya

Warinwa¹,

Mwaura²,

Kiringe³

et al. 2016

ARS

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The study characterized the status and trend of land cover transformation in Kirisia forest ecosystem between 1973 and 2015 using remote sensing and GIS. The dominant land cover types consisted of indigenous forest followed by shrub land and bush land. The findings showed a major increase in the built environment by 55.4% and an overall reduction in forest cover by 21.3%. Up to 83.9 km 2 of the original indigenous forest was lost between 1973 and 1986 due to severe fires. Thereafter, 23.7 km 2 of the remaining indigenous forest was lost between 1986 and 2000 mainly through charcoal burning, illegal timber logging and livestock forage harvesting. A slight recovery occurred between 2000 and 2015 with a 5% increase in indigenous forest cover mostly through natural succession by shrub land and bush land in the burnt forest areas especially following the 1998 El Nino period. The land cover change in the forest ecosystem was not exceptional in Kenya but mirrors similar changes that have been documented in other valued dry land watershed ecosystems in the country including the national water towers. The continued loss of forest cover is likely to affect the water recharge capacity in the watershed thereby creating severe water scarcity for the people in Mararal town as well as nearly 142,954 other individuals in the Kirisia region. Appropriate interventions are therefore needed to mitigate the negative land cover change in Kirisia forest and restore its hydrological functions and water recharge capacity.

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Section: Introductionmentioning

confidence: 99%

Land Cover Dynamics in the Kirisia Forest Ecosystem, Samburu County, Kenya

Warinwa¹,

Mwaura²,

Kiringe³

et al. 2016

ARS

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“…The detection of land cover changes by diachronic images in input is based on the comparison pixel of pixel of the same images area, to produce as a final result the modified information based in the pixel (Rawat & Kumar, 2015).…”

Section: Detection Of Land Cover Changes:-mentioning

confidence: 99%

Spectral Indexes to Detect Land Cover Changes Due to the Floods (Morocco).

Haidara¹,

Hakdaoui²,

Maimouni³

et al. 2017

IJAR

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The objective of this study is to detect land cover changes in fact of flood risks, with using a new method, fast and efficient. This technique needs only a diachronic satellite images in input data. The variability of reflectance spectral indexes is a characteristic of land cover changes. For applying this theory, we were including four spectral indexes those look on the principal indicator for land cover changes which are (Brightness index, Color index, Salinity index and clay index). To applying this method, we choose the Souss Massa basin as a study area. In 2014, this basin especially rounded of Guelmim city was affected by floods which caused a lot of damages in different ecosystems. Another step is used in the laboratory to validate our procedure; we talk about the physic-chemical analysis of land cover taken in two different dates, before and after floods. …………………………………………………………………………………………………….... Introduction:-Availability increased free download data of remote sensing has allowed to make environmental studies much more temporal multi easy. A huge advantage has summer for the study of the degradation of soils under the effect dare floods and erosion of the soil. This decline in the quality of the soil leads to a reduction of productivity land that is more uniform, the same landscape lies in a deteriorated condition. The space images provide an effective way for the management costs of this degradation direct on the ground then the methods are expensive and tedious (Mumby et al, 1999). Thus, this information extracted on the land cover, using remote sensing and geographic information systems tools, provide data on a large scale and to better identify the areas exposed to the risk of change with their geographical distribution (Yuan et al.., 2005).Previous studies on the detection of land cover changes, using remote sensing and geographic information systems tools showed that there are several approaches to detect them.

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“…Land use/cover change detection is essential, for a better understanding of landscape dynamics, during a known period, for sustainable management actions. Where landscape patterns, changes, and interactions, between human activities, and natural phenomenon are essential, for proper land management, and decision improvement (Rawat et al, 2015); the need to understand the Earth's ecology, and land cover is becoming increasingly important, and the evaluation of land degradation is a challenging task (Lu et al, 2007). Knowledge of current vegetation trends and the ability to make accurate predictions of ecological changes is essential, to minimise times of food scarcity, in developing countries (Ndayisaba et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Monitoring Land Use Change and Vegetation Dynamics by Remote Sensing in the Steppe Region of Sidi Bel Abbes (Northwest, Algeria)

2017

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The application of remote sensing in land cover changes monitoring is a very efficient tool, for landscape management in arid regions. To assess the spatial-temporal dynamics, of vegetation, in the southern region of Sidi Bel Abbes, for the period (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014), Landsat and MODIS NDVI data were processed and analysed using remote sensing software. The obtained results, confirm that the steppe region is highly degraded in the south and in the sout h-east, with light progression of vegetation noticed in the north and the north-west of the study area. The increase of vegetation cover is related to the reforestation actions, engaged by the forest services. For decision makers, the use of satellite imagery can improve the strategic conservation and management plans of the steppe ecosystem.

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Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India

Cited by 585 publications

References 16 publications

Land Cover Dynamics in the Kirisia Forest Ecosystem, Samburu County, Kenya

Land Cover Dynamics in the Kirisia Forest Ecosystem, Samburu County, Kenya

Spectral Indexes to Detect Land Cover Changes Due to the Floods (Morocco).

Monitoring Land Use Change and Vegetation Dynamics by Remote Sensing in the Steppe Region of Sidi Bel Abbes (Northwest, Algeria)

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