Desertification in western Rajasthan (India): an assessment using remote sensing derived rain-use efficiency and residual trend methods

Kundu, Arnab; Patel, N. R.; Saha, Sudip; Dutta, Debojyoti

doi:10.1007/s11069-016-2689-y

Cited by 49 publications

(27 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This Maximum Value Composite (MVC) ten-day synthesis product (S10) is pre-processed by the Flemish Institute for Technological Research (VITO) using a steady processing algorithm including radiometric, geometric and atmospheric corrections (http://www.vgt.vito.be/) (Holben, 1986). SPOT-VGT data have been used broadly in several studies (Fraser & Li, 2002;Stibig et al, 2007;Song et al, 2010;Sahoo et al, 2015;Kundu et al, 2017). The sensor has been specified below (Table 1).…”

Section: Methodsmentioning

confidence: 99%

“…Rainfall is a key factor that controls dynamic changes in vegetation growth in arid and semi-arid regions as vegetation cover in those regions are extremely susceptible to the quantity, duration and frequency of rainfall (Fravolini et al, 2005;Liu et al, 2012;Gamon et al, 2013;Dutta et al, 2015;Kundu et al, 2015c). Past studies revealed that fluctuation of NDVI in drylands is consistent with spatial and temporal variations in rainfall (Fabricante et al, 2009;Kundu & Dutta, 2011;Kundu et al, 2015aKundu et al, ,b, 2016Kundu et al, , 2017.…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, modern remote sensing tools have profound competence for monitoring and analysing contradictory aspects of vegetation dynamics in response to rainfall at varying temporal and spatial scales. Several regional and global studies have earlier studied the inter-relationship among NDVI and rainfall in various regions of the world (Kawabata et al, 2001;Wang et al, 2005;Groeneveld & Baugh, 2007;Kundu & Dutta, 2011;Kundu et al, 2017). However, the response of vegetation cover to rainfall may not be linear over broad ranges of disparity in rainfall.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Geo‐spatial study for analysing temporal responses of NDVI to rainfall

Kundu

Denis

Patel

et al. 2017

Singap J Trop Geogr

Self Cite

View full text Add to dashboard Cite

Climate change has become a serious concern worldwide owing to its multifaceted impact upon the physical as well as socio-economic environment (IPCC, 2013). Vulnerability to climate change is much higher in the developing countries like India, where the economy is mainly agro-based and productivity from the agricultural sector is dependent upon summer monsoon rainfall. Hence, assessing the quantitative relationship between vegetation patterns and climatic influence has become an increasingly important study conducted on regional and global scales. As vegetation cover plays a key role in conserving the natural environment, studying the spatio-temporal trend of vegetation is crucial in identifying changes in the natural environment. We analysed the spatial responses of SPOT-VGT NDVI to TRMM based rainfall during a sixteen year period (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) in the Bundelkhand region of Central India. The Normalized Difference Vegetation Index (NDVI) has proven to be a strong indicator of global vegetation productivity. Among climatic factors, rainfall robustly influences both spatial and temporal outline of NDVI. In this study, we used linear regression for analysing the statistical relationship among NDVI and rainfall and their trends. The study reveals a varying pattern of vegetation dynamics in response to rainfall over the area.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Geo‐spatial study for analysing temporal responses of NDVI to rainfall

Kundu

Denis

Patel

et al. 2017

Singap J Trop Geogr

Self Cite

View full text Add to dashboard Cite

show abstract

“…Desertification is caused due to climatic conditions or human activities and negatively affects land productivity and reduces the plant/perennial cover, which are indicators of land degradation (Kundu et al 2017). Rain use efficiency (RUE) is defined as the aboveground net primary production (ANPP) divided by rainfall and is used as an indicator of degradation (Dardel et al 2014).…”

Section: Leaf Area Indexmentioning

confidence: 99%

“…Globally, remote sensing data such as MODIS has been used to develop RUE through different methods such as the novel method (Du et al 2018), correlation analysis (Zhao et al 2018), and meta-analysis and regression (Ruppert et al 2012). RUE has shown a positive correlation with evapotranspiration, while both RUE and vegetation index (VI) are indicators of ecological multifunctionality indicators, RUE is preferred over VI due to the robustness of rainfall (Zhao et al 2018) and shows a dynamic integration of NDVI and rainfall (Kundu et al 2017). Although RUE varies in different biomes (Ruppert et al 2012) and the need for further understanding of climatic and soil factor on growth (Sun and Du 2017), the use of RUE can be used as an ecosystem indicator to show degradation.…”

Section: Leaf Area Indexmentioning

confidence: 99%

The potential for water stewardship partnership in Kenya

Isundwa

Mourad²

2019

Arab J Geosci

View full text Add to dashboard Cite

Water resources face risks due to water use stress and water scarcity. Collective and integrated actions by different institutions and stakeholders are needed to reduce future water risks. This paper aimed to assess the potential for a water stewardship partnership in River Nzoia Basin to reduce future water risks facing the ecosystem, agriculture, and other sectors by quantifying water risks and mapping stakeholders for a water stewardship partnership in the basin. Water risks were quantified using indicators from remote sensing platforms and secondary sources. Stakeholder mapping was conducted using stakeholder analysis, while stakeholders' views were collected using questionnaires. The results showed that there is a high fluctuation in the vegetation cover and primary productivity in the basin pointing to a degradation and deforestation. It was also noted that there is an increase in the frequency and severity of drought and high evapotranspiration rates in some parts of the basin due to the low vegetation cover. Combining the results indicated an increase in water risk between 2000 and 2014 in different parts of the basin at a different magnitude of risks. The conducted interviews found that the basin lacked a stewardship program. However, there was a potential for a successful stewardship partnership among stakeholders as most of the stakeholders showed their ability to play a role in the stewardship program. The paper showed a need to form a water stewardship program at the basin to tackle drought, deforestation, and land degradation. The proposed water stewardship program should be built on commitment, transparency, and inclusivity.

show abstract