Land use and land cover dynamics with special emphasis on shifting cultivation in Eastern Ghats Highlands of India using remote sensing data and GIS

Adhikary, Partha Pratim; Barman, D.; Madhu, M.; Dash, Ch. Jyotiprava; Jakhar, Praveen; Hombegowda, H. C.; Naik, B.S.; Sahoo, Dillip Kumar; Beer, Karma

doi:10.1007/s10661-019-7447-7

Cited by 30 publications

(11 citation statements)

References 23 publications

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“…Therefore, accuracy estimation is important for individual classification for the assessment of land use alters [ 59 ]. In this research classification precision was conducted by evaluation of each classification outcome with suggestion data acquired from Landsat imageries by visual image explanation through different band arrangements [ [16] , [17] , [18] , 60 , 61 ] and field investigation ( Fig. 2 ).…”

Section: Methodsmentioning

confidence: 99%

“…Manual visual image explanation (MVIE) is of utmost significance for almost all quantitative performance evaluations [ 62 ], especially to unveil the potency of instrument learning algorithms. It is generally established in the text that MVIE plays an important role in reliable geodata [ [16] , [17] , [18] , 60 , 61 ]. But it depends on the knowledge of the analyst, the image quality, etc.…”

Section: Methodsmentioning

confidence: 99%

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Monitoring of drainage system and waterlogging area in the human-induced Ganges-Brahmaputra tidal delta plain of Bangladesh using MNDWI index

Rashid¹

2023

Heliyon

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Monitoring of drainage system and waterlogging area in the human-induced Ganges-Brahmaputra tidal delta plain of Bangladesh using MNDWI index

Rashid¹

2023

Heliyon

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“…In the third sub-stage, an error matrix was proposed to assess the accuracy. The confusion matrix had several statistics and thus could assess the accuracy in relation to several aspects [56]. In general, by using the error matrix, we could calculate the overall accuracy, Kappa coefficient, producer accuracy, and user accuracy.…”

Section: Validationmentioning

confidence: 99%

“…It can be seen that there is no standard method for accuracy assessment [59]. Considering the wide adoption of an error matrix, we assessed the accuracy of our maps based on an error matrix [56,63,64]. The calculation of the error matrix needs reference data (ground truth data).…”

Section: Validationmentioning

confidence: 99%

Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China

Song

2019

Sustainability

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Settlement expansion caused by urbanization is an important factor leading to the loss of arable land across the world. Due to various factors in China, such as institutional problems, the total number of rural settlements is decreasing, while the total area continues to increase. Rural settlements expand mainly into arable land, resulting in a significant loss of high-quality farmland, thus threatening long-term food security. However, research on this subject is relatively scarce. In this study, using KeyHole and RESURS F1 satellite remote sensing images, we examined the spatial expansion of rural settlements in Tongzhou District, Beijing, in 1972 and 1991. Then, the consumption of high-quality arable land by rural settlements expansion was assessed. It was found that the overall accuracy of the produced maps for 1972 and 1991 were 93% and 90%, respectively. The accuracy of mapped changes from 1972 to 1991 was as high as 90%. From 1972 to 1991 and from 1991 to 2015, the rural settlements in Tongzhou District expanded by 51.54% and 79.91% respectively, with 53.72% and 60.64% of the expanded rural settlements being on arable land. Rural settlements expanded mainly into high-quality arable land at the beginning of the study period, whereas later on, medium- and low-quality farmland was also occupied, albeit to a lesser degree.

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“…Population growth and political agendas aiming for agricultural intensification through the propagation of settled agriculture have recently increased the pressure on productive land in South and Southeast Asia (Bose, 2019; Bruun et al, 2017; Castella et al, 2013; Fox et al, 2014; Rasul & Thapa, 2003; Ziegler et al, 2012). As a consequence of increasing land competition, shifting cultivation has migrated toward higher altitudes (Adhikary et al, 2019; Feng et al, 2021; Nongkynrih et al, 2018) and fallow cycles have been reduced (Choudhury & Sundriyal, 2003; Lestrelin et al, 2012; Prokop & Poreba, 2012; van Vliet et al, 2012), thus increasing the risk for soil erosion and challenging the sustainability of shifting cultivation systems.…”

Section: Introductionmentioning

confidence: 99%

Combined effects of climate change and agricultural intensification on soil erosion in uphill shifting cultivation in Northeast India

Schröder,

Rasche,

Jantke

et al. 2023

Land Degrad Dev

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Shifting cultivation will face increasing pressure from erosion‐related land degradation caused by rising cultivation intensities and climate change. However, empirical knowledge about future trends of soil erosion and thus land degradation in shifting cultivation systems is limited. We use the Environmental Policy Integrated Climate (EPIC) model to first explore the combined effects of climate change and agricultural intensification on soil erosion of uphill shifting cultivation systems, using six surveyed soil profiles. We assess interactions between climate change, the length of the fallow period, and slope inclinations for a near (2021–2050) and far (2071–2100) future period, considering three climate scenarios, five climate models, fallow periods between one and 20 years, and slopes between five and 70% steepness. Our results show a significant nonlinear relationship between global warming and erosion. Until the end of the century, erosion is estimated to increase by a factor of 1.2, 2.2, and 3.1 under the SSP126, SSP370, and SSP585 scenarios, respectively, compared with the historical baseline (1985–2014). Combined effects from climate change, fallow length, and slope inclination indicate that steep slopes require longer fallow periods, with an increase of slope from 5% to 10% multiplying the required fallow length by a mean factor of 2.5, and that fallow periods will need to be extended under higher global warming if erosion rates are to remain at current levels. These findings are novel as they link climate change effects on shifting cultivation systems to different slopes and fallow regimes, making an important contribution to understanding future erosion dynamics of traditional smallholder production systems in mountainous terrain, with relevant implications for policies on agricultural intensification.

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Land use and land cover dynamics with special emphasis on shifting cultivation in Eastern Ghats Highlands of India using remote sensing data and GIS

Cited by 30 publications

References 23 publications

Monitoring of drainage system and waterlogging area in the human-induced Ganges-Brahmaputra tidal delta plain of Bangladesh using MNDWI index

Monitoring of drainage system and waterlogging area in the human-induced Ganges-Brahmaputra tidal delta plain of Bangladesh using MNDWI index

Expansion of Rural Settlements on High-Quality Arable Land in Tongzhou District in Beijing, China

Combined effects of climate change and agricultural intensification on soil erosion in uphill shifting cultivation in Northeast India

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