Geo-spatial analysis of land use/land cover change and its impact on the food security in District Anantnag of Kashmir Valley

Lone, Sheraz A.; Mayer, Ishtiaq A.

doi:10.1007/s10708-018-9891-2

Cited by 19 publications

(10 citation statements)

References 18 publications

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“…Previo a ello, es necesario definir la ocupación de suelos en el partido de General Pueyrredon. Si bien a nivel internacional y regional existen antecedentes donde se emplea la teledetección como insumo para analizar estas áreas (Baldini et al, 2016;Borràs et al, 2017;Mari, 2018;Suez et al, 2018;Lone y Mayer, 2019), en el partido de General Pueyrredon este tipo de estudios aún son escasos (Zulaica et al, 2012;. De esta manera, se espera establecer una tipología de usos mediante clasificación digital que permita analizar espacios heterogéneos, como son los periurbanos, especialmente asociados con áreas de producción intensiva.…”

Section: Introductionunclassified

El periurbano de Mar del Plata (Argentina): clasificación digital de los usos del suelo y análisis de las transformaciones en el cinturón hortícola

Daga

Zulaica

Vázquez

2020

REVGEO

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La sustentabilidad de las ciudades constituye uno de los propósitos más relevantes de los últimos tiempos. En ese contexto, las áreas periurbanas adquieren un rol prioritario ya que conjugan problemáticas sociales y ecológicas asociadas con las actividades que allí se desarrollan. En este marco, el objetivo del presente trabajo es identificar los usos del suelo presentes en el periurbano de Mar del Plata hacia el año 2018 y caracterizar la evolución de la actividad hortícola desde sus inicios hasta la actualidad. En el Partido se clasificaron sobre imágenes satelitales 6 usos principales, entre los cuales las “áreas hortícolas” abarcan apenas un 7%, pero contribuyen significativamente a la economía local. A partir del análisis de la expansión e intensificación de estas áreas, se espera profundizar en los impactos generados por la actividad hortícola, a fin de alcanzar una mayor sustentabilidad en el territorio local.

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Section: Introductionunclassified

El periurbano de Mar del Plata (Argentina): clasificación digital de los usos del suelo y análisis de las transformaciones en el cinturón hortícola

Daga

Zulaica

Vázquez

2020

REVGEO

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“…The massive land system changes in the Kashmir region concerning agricultural lands, orchards, and built-up areas have been documented in many studies [39,40,87]. Although few studies suggest that the depleting streamflows are a significant factor driving the land system changes in Kashmir [88,89], the changes are also perhaps taking place due to economic considerations, especially given the fact that the production from apple orchards fetches more income compared to irrigation-intensive agriculture [46,[90][91][92][93]. The increase in the built-up area in Lidder watershed has not only resulted in shrinkage of land under agriculture but has perhaps also affected the hydrological connectivity, as a lot of smaller streams have dried due to land-filling and the associated expansion of built-up areas across Kashmir [94].…”

Section: Discussionmentioning

confidence: 99%

Linking the Recent Glacier Retreat and Depleting Streamflow Patterns with Land System Changes in Kashmir Himalaya, India

Rashid

Majeed

Aneaus

et al. 2020

Water

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This study reports the changes in glacier extent and streamflow similar to many Himalayan studies, but takes the unusual step of also linking these to downstream land use changes in Kashmir Valley. This study assessed changes in the area, snout, and equilibrium line altitude (ELA) of four parts of the Kolahoi Glacier using earth observation data from 1962 to 2018. Changes in the discharge of the two streams flowing out from Kolahoi Glacier into the Jhelum basin were also assessed between 1972 and 2018. Additionally, satellite data was used to track the downstream land system changes concerning agriculture, orchards, and built-up areas between 1980 and 2018. This analysis suggested a cumulative deglaciation of 23.6% at a rate of 0.42% per year from 1962 to 2018. The snout of two larger glaciers, G1 and G2, retreated at a rate of 18.3 m a −1 and 16.4 m a −1 , respectively, from 1962 to 2018, although the rate of recession accelerated after 2000. Our analysis also suggested the upward shift of ELA by ≈120 m. The streamflows measured at five sites showed statistically significant depleting trends that have been a factor in forcing extensive land system changes downstream. Although the area under agriculture in Lidder watershed shrunk by 39%, there was a massive expansion of 176% and 476% in orchards and built-up areas, respectively, from 1980 to 2018. The conversion of irrigation-intensive agriculture lands (rice paddy) to less water-intensive orchards is attributed to economic considerations and depleting streamflow.Water 2020, 12, 1168 2 of 18 to decrease in the streamflows in the Himalayan Rivers [7,[27][28][29], which could affect water availability downstream [30]. Studies suggest that the glacier recession in the Kashmir valley has already resulted in the depleted streamflows downstream [31,32]. The land system changes in the region [33][34][35][36] have been linked to depleting streamflows, economic considerations, and unplanned land transformation.The use of remote sensing data for quantifying land system changes over the Kashmir region has been widely documented [37][38][39][40]. At the same time, there is substantial scientific literature detailing the glacier retreat prevalent over the region. A recent study indicated that the glaciers in the Ladakh region are retreating at 0.55% a −1 [41], whereas another study [42] reported few stable and advancing glaciers in the Zanskar region of Jammu and Kashmir. Similar retreat estimates have been put forth for the Zanskar region for the glacier area changes carried between 1989 and 2007 [43]. However, very conservative area changes (0.16% a −1 ) have been reported for the neighboring Suru basin [44] for the glacier area changes assessed for the 1977-2017 period. In another study carried out in the Lidder watershed of the Jhelum basin, the glaciers were reported to be shrinking at 0.51% a −1 [17]. Glacier mass change over the western Himalayas has accelerated from 0.33 to 0.5 m w.e. (water equivalent) per year between 1970-2000 and 2000-2010, respectively [45]. Ther...

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“…These sub classes prepared with the supervised classification method [14]. Supervised classification is usually applied with the trained algorithm; maximum-likelihood classifier is gathering each trained pixels of Landsat imagery [10,15]. Maximum-likelihood classifier is on the most popular criteria in supervised classification method.…”

Section: Lulc Preparationmentioning

confidence: 99%

“…Mohajane et al [14] used Landsat TM, ETM, ETM+ and OLI by applying Normalized Difference Vegetation Index (NDVI) map and using maximum-likelihood supervised classification to estimate the vegetation change over Azrou forest in the Middle Atlas, Morocco. Lone and Mayer [15] used the Indian Remote Sensing Linear Imaging Self-Scanning System III and Resourcesat-1 imagery to classified the LULC by applying supervised classification techniques. Timm Hoffman et al [6] performed the long-term LULC change detection using Landsat imagery.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Land Use and Land Cover Dynamics Using Geospatial Techniques

Pandi¹,

Kothandaraman²,

Kumarasamy³

et al. 2022

Pol. J. Environ. Stud.

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Land Use and Land Cover (LULC) changes are important for sustainable water and land resources management. In this study, an attempt is made to perform quantitative analysis of past and future LULC changes at catchment scale. A case study is taken over Chittar catchment a tributary of Tharamirabarani river basin, Tamilnadu of India. In this study, LULC is grouped as per NRSC Level 1 scheme consists of five sub classes viz. built up land, agricultural land, waste land, water bodies and forest land. The 2000 and 20005 LULC maps are used as base maps to determine the transition potential. Then, CA-ANN is espoused to forecast the LULC for the year 2010. The kappa statistics is used to measure the spatial accuracy between forecasted and historical LULC for year 2010. The overall spatial matching between the two LULC is 91% and the kappa coefficient is 86%. From the total 30 years of past and future LULC, almost 58% of area is covered with the agricultural land, followed by 16% of forest, 15% of waste land and 11% of built up and water bodies. Change detection analysis is carried out at 10 and 30 years interval. This LULC change analysis is important for hydrological model development and land resources management.

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Geo-spatial analysis of land use/land cover change and its impact on the food security in District Anantnag of Kashmir Valley

Cited by 19 publications

References 18 publications

El periurbano de Mar del Plata (Argentina): clasificación digital de los usos del suelo y análisis de las transformaciones en el cinturón hortícola

El periurbano de Mar del Plata (Argentina): clasificación digital de los usos del suelo y análisis de las transformaciones en el cinturón hortícola

Linking the Recent Glacier Retreat and Depleting Streamflow Patterns with Land System Changes in Kashmir Himalaya, India

Assessment of Land Use and Land Cover Dynamics Using Geospatial Techniques

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