Estimation of Wheat/Rice Residue Burning Areas in Major Districts of Haryana, India, Using Remote Sensing Data

Yadav, Manoj Kumar; Sharma, M. P.; Prawasi, Ravindra; Khichi, Rajeev; Kumar, Pavan; Mandal, Vinay Prasad; Salim, Abdul; Hooda, R. S.

doi:10.1007/s12524-013-0330-z

Cited by 31 publications

(17 citation statements)

References 3 publications

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“…In contrast, Punjab BA MCD64A1 is lower than PRSC (2015) burned area estimates in both 2014 and 2015 by 19% and 2%, respectively (figure S11). For northern Haryana districts, both ModL2T and MCD64A1 tend to overestimate burned area relative to Yadav et al (2014a;2014b). District-level BA ModL2T and BA MCD64A1 are strongly correlated (r=0.87-0.88, p<0.05) with previous burned area estimates.…”

Section: Validation and Assessments Of Mcd64a1 And Modl2t Burned Areamentioning

confidence: 86%

“…Previous studies on high-resolution agricultural burned area estimation in northwestern India span 1-2 years of study (Yadav et al 2014a, 2014b, PRSC 2015. Here we use Google Earth Engine (Gorelick et al 2017) to expand the study time period to 14 years, from 2003-2016, and estimate the total extent of post-monsoon agricultural burned area at 30-m spatial resolution, improving on 'baseline' 500-m MODIS MCD64A1 burned area (Giglio et al 2018) with better spatial allocation of small fires.…”

Section: Burned Areamentioning

confidence: 99%

“…Next, we compare district-level burned area with previous estimates (Yadav et al (2014a;2014b); PRSC 2015. Overall, total Punjab BA ModL2T is 6% lower and 7% higher than that of PRSC (2015) in 2014 and 2015, respectively.…”

Section: Validation and Assessments Of Mcd64a1 And Modl2t Burned Areamentioning

confidence: 99%

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Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Liu

Marlier

Karambelas

et al. 2019

Environ. Res. Commun.

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A rising source of outdoor emissions in northwestern India is crop residue burning, occurring after the monsoon (kharif ) and winter (rabi) crop harvests. In particular, post-monsoon rice residue burning, which occurs annually from October to November and is linked to increasing mechanization, coincides with meteorological conditions that enhance short-term air quality degradation. Here we examine the Global Fire Emissions Database (GFED), whose bottom-up emissions are based on the 500-m burned area product, MCD64A1, derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Using a household survey from 2016, we find that MCD64A1 tends to underestimate burned area in many surveyed villages, leading to poor representation of small, scattered fires and consequent spatial biases in model results. To more accurately allocate such small fires and resolve sub-village heterogeneity, we use an experimental hybrid MODIS-Landsat method (ModL2T) to map burned area at 30-m spatial resolution, which results in 44±21% higher burned area than MCD64A1 and up to 105±52% increase in dry matter emissions over GFEDv4s. In our validation and assessments, we find that ModL2T performs better relative to MCD64A1 in terms of bias and omission error, but may introduce commission error due to conflation of burning with harvest and still underestimate burned area due to Landsat's coarse temporal resolution (every 16 days). We conclude that while MODIS and Landsat provide more than two decades worth of observations, their spatio-temporal resolution is too coarse to overcome several region-specific challenges: small median landholding size (1-3 ha), quick harvest-to-sowing turnover period, prevalence of partial burning, and increasing haziness. To further constrain agricultural fire emissions in northwestern India and improve model estimates of associated public health impacts, integration of finer resolution imagery, as well as better understanding of the spatial patterns in burn rates, burn practices, and fuel loading, is requisite.

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Section: Validation and Assessments Of Mcd64a1 And Modl2t Burned Areamentioning

confidence: 86%

Section: Burned Areamentioning

confidence: 99%

See 1 more Smart Citation

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Liu

Marlier

Karambelas

et al. 2019

Environ. Res. Commun.

View full text Add to dashboard Cite

show abstract

“…Next, we compare district-level burned area with previous estimates (PRSC 2015;Yadav et al (2014a;2014b). Overall, total Punjab BAModL2T is 6% lower and 7% higher than that of PRSC (2015) in 2014 and 2015, respectively.…”

Section: Validation and Assessments Of Mcd64a1 And Modl2t Burned Areamentioning

confidence: 91%

“…Previous studies on high-resolution agricultural burned area estimation in northwestern India span 1-2 years of study (PRSC 2015, Yadav et al 2014a, 2014b). Here we use Google Earth Engine (Gorelick et al 2017) to expand the study time period to 14 years, from 2003-2016, and estimate the total extent of post-monsoon agricultural burned area at 30-m spatial resolution, improving on "baseline" 500-m MODIS MCD64A1 burned area (Giglio et al 2018) with better spatial allocation of small fires.…”

Section: Burned Areamentioning

confidence: 99%

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Liu¹,

Marlier²,

Karambelas³

et al. 2018

Preprint

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A rising source of outdoor emissions in northwestern India is crop residue burning, occurring after the monsoon (kharif) and winter (rabi) crop harvests. In particular, post-monsoon rice residue burning, which occurs annually from October to November and is linked to increasing mechanization, coincides with meteorological conditions that enhance short-term air quality degradation. Here we examine the Global Fire Emissions Database (GFED), whose bottom-up emissions are based on the 500-m burned area product, MCD64A1, derived from Moderate Resolution Imaging Spectroradiometer (MODIS) observations. Using a household survey from 2016, we find that MCD64A1 tends to underestimate burned area in many surveyed villages, leading to poor representation of small, scattered fires and consequent spatial biases in model results. To more accurately allocate such small fires and resolve sub-village heterogeneity, we use an experimental hybrid MODIS-Landsat method (ModL2T) to map burned area at 30-m spatial resolution, which results in 44 ± 21% higher burned area than MCD64A1 and up to 105 ± 52% increase in dry matter emissions over GFEDv4s. In our validation and assessments, we find that ModL2T performs better relative to MCD64A1 in terms of bias and omission error, but may introduce commission error due to conflation of burning with harvest and still underestimate burned area due to Landsat’s coarse temporal resolution (every 16 days). We conclude that while MODIS and Landsat provide more than two decades worth of observations, their spatio-temporal resolution is too coarse to overcome several region-specific challenges: small median landholding size (1-3 ha), quick harvest-to-sowing turnover period, prevalence of partial burning, and increasing haziness. To further constrain agricultural fire emissions in northwestern India and improve model estimates of associated public health impacts, integration of finer resolution imagery, as well as better understanding of the spatial patterns in burn rates, burn practices, and fuel loading, is requisite.

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Socio‐Economic Impacts of Climate Change

Patel

Dey

Singh

et al. 2021

Climate Impacts on Sustainable Natural Resource Management

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Estimation of Wheat/Rice Residue Burning Areas in Major Districts of Haryana, India, Using Remote Sensing Data

Cited by 31 publications

References 3 publications

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Missing emissions from post-monsoon agricultural fires in northwestern India: regional limitations of MODIS burned area and active fire products

Socio‐Economic Impacts of Climate Change

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