Biomass and Remote Sensing of Biomass

Atazadeh, Islam

doi:10.5772/939

Cited by 7 publications

(1 citation statement)

References 136 publications

(191 reference statements)

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“…Therefore, the reduction of CO 2 emission is required to slow down the increase of global temperature. Current efforts of reducing the CO 2 emission include decreasing fossil fuel consumption and increasing carbon sink through forestry activities (Atazadeh, 2011). The Kyoto Protocol of 1997 set up a framework for different countries to reduce the CO 2 emission in respective rates based on their development level and industrial activities since industrial revolution (United Nations, 1998).…”

Section: Introductionmentioning

confidence: 99%

A geographic approach to carbon accounting of Wisconsin

Huang

Deng

2015

Journal of Maps

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Carbon accounting is becoming increasingly important in the way it provides a comprehensive perspective of carbon balance from both carbon emission and carbon assimilation. Numerous previous researches have focused on carbon emission inventory, but few have put their effort in estimating the overall carbon balance as well as analyzing its spatial distribution. In this study, the fossil fuel consumption from all end-use sectors was used to estimate the carbon emission, and the carbon assimilation of vegetation was derived from Moderate Resolution Imaging Spectroradiometer net primary production. Then, the carbon emission was integrated with carbon assimilation to estimate carbon balance. The results were presented in five different maps with a scale of 1:1,480,000 and suggested that, in 2009, Wisconsin was able to assimilate its all end-use carbon emissions through the vegetation. In addition, carbon surplus and carbon deficit of Wisconsin demonstrated their respective spatial patterns. The approach can be generalized and applied to other regions to estimate carbon balance.

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Section: Introductionmentioning

confidence: 99%

A geographic approach to carbon accounting of Wisconsin

Huang

Deng

2015

Journal of Maps

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Community structure and ecological responses to hydrological changes in benthic algal assemblages in a regulated river: application of algal metrics and multivariate techniques in river management

Atazadeh

Gell

Mills

et al. 2021

Environ Sci Pollut Res

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The flow regime of the Wimmera River was substantially modified due to the construction of a water supply reservoir. Samples of diatoms, soft algae and measurements of water quality were analysed at ten sampling sites for three years (between February 2012 and November 2014) along the MacKenzie River, a tributary of the Wimmera River, in different seasons and under different flow regimes, to understand the spatial and temporal variation in the relationship between algal communities, water quality and stream condition. Baseline information on algal communities and water quality was collected during base flow conditions, while experiments on the effect of water releases on algal communities were based on flow regime variations (manipulated flow regimes), specifically on the algae community structure, water quality and ecosystem function. Algal species composition changed along the river under different flow regimes and different seasons. Under base flow, Bacillariophyta (diatoms) were more abundant upstream and filamentous green algae were more abundant downstream.The results showed that the algal composition shifted downstream after water release events. Chlorophyta (Green algae), Cyanophyta (Blue-green algae) and Chrysophyta gradually increased from upstream to downstream under base flow conditions, and before water releases, whereas diatoms were greater upstream and increased downstream after water releases. The results suggest that by tailoring the discharge and duration of the river flows, through the amalgamation of consumptive and environmental flows would improve the condition of the stream, and supplementing the positive effects of the flows dedicated to improving environmental outcomes.

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Remotely Sensed Soil Data Analysis Using Artificial Neural Networks: A Case Study of El-Fayoum Depression, Egypt

Amato

Havel

Gad

et al. 2015

IJGI

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Earth observation and monitoring of soil quality, long term changes of soil characteristics and deterioration processes such as degradation or desertification are among the most important objectives of remote sensing. The georeferenciation of such information contributes to the development and progress of the Digital Earth project in the framework of the information globalization process. Earth observation and soil quality monitoring via remote sensing are mostly based on the use of satellite spectral data. Advanced techniques are available to predict the soil or land use/cover categories from satellite imagery data. Artificial Neural Networks (ANNs) are among the most widely used tools for modeling and prediction purposes in various fields of science. The assessment of satellite image quality and suitability for analysing the soil conditions (e.g., soil classification, land use/cover estimation, etc.) is fundamental. In this paper, methodology for data screening and subsequent application of ANNs in remote sensing is presented. The first stage is achieved

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Biomass and Remote Sensing of Biomass

Cited by 7 publications

References 136 publications

A geographic approach to carbon accounting of Wisconsin

A geographic approach to carbon accounting of Wisconsin

Community structure and ecological responses to hydrological changes in benthic algal assemblages in a regulated river: application of algal metrics and multivariate techniques in river management

Remotely Sensed Soil Data Analysis Using Artificial Neural Networks: A Case Study of El-Fayoum Depression, Egypt

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