Modeling Methane Emission from Wetlands in North-Eastern New South Wales, Australia Using Landsat ETM+

Akumu, Clement E.; Pathirana, Sumith; Baban, Serwan Mj; Bucher, Daniel J

doi:10.3390/rs2051378

Cited by 23 publications

(11 citation statements)

References 30 publications

(32 reference statements)

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“…If precipitation is higher than evaporation, it is assumed that the water are saturated in soil for a given period [24]. …”

Section: Methodsmentioning

confidence: 99%

“…To determine emissions of CH 4 , we developed a simple model that was modified from Agarwal [ 23 ] and Akumu [ 24 ]: Where E obs is the observed CH 4 flux from rice, Ft is an expression of the temperature, A is the area of rice, and fw is ratio of precipitation to evaporation.…”

Section: Methodsmentioning

confidence: 99%

“…fw is calculated by: Where P is precipitation and ET is evapotranspiration. If precipitation is higher than evaporation, it is assumed that the water are saturated in soil for a given period [ 24 ].…”

Section: Methodsmentioning

confidence: 99%

“…Agarwal et al [ 23 ] presented a large—scale model integrating field data with Moderate Resolution Imaging Spectroradiometer (MODIS) derived LST and ET data to estimate CH 4 emissions from rice paddies, which provided better insights into the regional variations of CH 4 emissions. Akumu et al [ 24 ] improved this model to estimate CH 4 emissions from wetlands in North-Eastern New South Wales. However, there have been few estimates of CH 4 emissions from rice paddies in China based on remote sensing data and field observations, from which CH 4 emissions could be extrapolated from the site scale to a larger spatial dimension.…”

Section: Introductionmentioning

confidence: 99%

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Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China

Sun

Zhang

et al. 2017

PLoS ONE

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The Sanjiang Plain (SJP), one of the major rice producing regions in China, is an important source of methane (CH4) emissions. However, there have been large uncertainties in the estimates of CH4 emissions from this area during the past few years. In this study, we estimated CH4 emissions using a process-based model derived by rice area, CH4 flux, land surface temperature (LST), and the ratio of precipitation (P) and evapotranspiration (ET) in rice paddies in the SJP during the rice growing seasons in 2000, 2006, and 2010, respectively. The results showed that the total area of rice fields was 1.64 million ha in 2010, which was approximately 35 and 13% higher than in 2000 and 2006, respectively. The average LST was 22.1°C in 2000 which was higher than in 2006 (21.6°C) and 2010 (21.5°C). Monthly ET and P displayed similar seasonal and annual variability. The monthly ET was 61.7, 66.5, and 63.0 mm month-1 and P was 85.1, 80.6 and 85.9 mm month-1 during the rice growing seasons in 2000, 2006, and 2010, respectively. The averaged CH4 flux rates were 24.83, 24.63, and 24.59 ton km-2, and the estimated mean annual CH4 emissions from rice paddies were 0.30, 0.36, and 0. 40 Tg yr-1 in 2000, 2006, and 2010, respectively. The CH4 emissions displayed obvious spatial variations that decreased from east to west in the SJP, and were mainly affected by temperature. The results will improve our understanding of the inter-annual and spatial variations of CH4 emissions and provide a more accurate regional budget of CH4 emissions from rice paddies in the Sanjiang Plain.

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“…If precipitation is higher than evaporation, it is assumed that the water are saturated in soil for a given period [24]. …”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China

Sun

Zhang

et al. 2017

PLoS ONE

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“…Mapping and modeling in saltmarshes face distinct challenges due to tidal oscillation and variability, fieldwork logistics, and the inherent dynamic nature of these environments. 7 Remote sensing has been applied with increasing success in the monitoring and management of aquatic ecosystems. [8][9][10][11][12] The occurrence of wetlands in diverse geographic areas makes it challenging to map such ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Improving image classification in a complex wetland ecosystem through image fusion techniques

Kumar¹,

Sinha²,

Taylor³

2014

J. Appl. Remote Sens

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The aim of this study was to evaluate the impact of image fusion techniques on vegetation classification accuracies in a complex wetland system. Fusion of panchromatic (PAN) and multispectral (MS) Quickbird satellite imagery was undertaken using four image fusion techniques: Brovey, hue-saturation-value (HSV), principal components (PC), and Gram-Schmidt (GS) spectral sharpening. These four fusion techniques were compared in terms of their mapping accuracy to a normal MS image using maximum-likelihood classification (MLC) and support vector machine (SVM) methods. Gram-Schmidt fusion technique yielded the highest overall accuracy and kappa value with both MLC (67.5% and 0.63, respectively) and SVM methods (73.3% and 0.68, respectively). This compared favorably with the accuracies achieved using the MS image. Overall, improvements of 4.1%, 3.6%, 5.8%, 5.4%, and 7.2% in overall accuracies were obtained in case of SVM over MLC for Brovey, HSV, GS, PC, and MS images, respectively. Visual and statistical analyses of the fused images showed that the Gram-Schmidt spectral sharpening technique preserved spectral quality much better than the principal component, Brovey, and HSV fused images. Other factors, such as the growth stage of species and the presence of extensive background water in many parts of the study area, had an impact on classification accuracies. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Analytical study of carbon dioxide equivalent emission from agricultural drain surfaces — a case study from Egypt*

Khairy

Salem

Saber

2021

Irrigation and Drainage

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Methane emission is usually converted into equivalent carbon dioxide (CO 2e ) in order to compare it with other sectoral emissions. Estimation of methane from 'agricultural drain surfaces' is not accounted for in most of the derivation methods. This research paper dealt with the estimation of CO 2e emission from 'surfaces of the agricultural drains network in Egypt' and then estimated the projected future CO 2e emission loads trend for the period 2046-2065. CO 2e emission was estimated using general circulation models for climate change under expected temperature variation in the coming decades. Annual average total CO 2e emission loads from the BHD surface and its surrounding areas to the atmosphere were about 3790 t eq. CO 2e yr¹ for the period 2046-2065. The 'additional' total emission of CO 2e from the agriculture drainage network surface in relation to total emissions from the agricultural sector in Egypt was about 13.8%.It also accounted for about 1.4% of overall CO 2e emission in Egypt. This research paper, furthermore, developed a methane indicative emission map for the Egyptian agricultural drainage network for the period 2046-2065, through which it is possible to estimate CO 2e emission loads at any segment on any agricultural drain in Egypt during the period 2046-2065. K E Y W O R D Sagricultural drainage network of Egypt, Bahr Hadous drain (BHD), carbon dioxide emission, climate change, general circulation models (GCMs), GIS, methane emission RésuméLes émissions de méthane sont généralement converties en dioxyde de carbone équivalent (CO 2e ) afin de les comparer aux autres émissions sectorielles. L'estimation du méthane provenant de la 'surface des drains agricoles' n'est pas prise en compte dans la plupart des méthodes de dérivation. Ce document de recherche portait sur l'estimation des émissions de CO 2e de la 'surface du réseau de drainage agricole en Égypte', puis a estimé la future tendance * Étude analytique des émissions équivalentes de dioxyde de carbone à la surface des drains agricoles-une étude de cas en Égypte.

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Modeling Methane Emission from Wetlands in North-Eastern New South Wales, Australia Using Landsat ETM+

Cited by 23 publications

References 30 publications

Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China

Satellite data based estimation of methane emissions from rice paddies in the Sanjiang Plain in northeast China

Improving image classification in a complex wetland ecosystem through image fusion techniques

Analytical study of carbon dioxide equivalent emission from agricultural drain surfaces — a case study from Egypt*

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