A Hierarchical Model for Estimating Methane Emission from Wetlands using MODIS Data and ARIMA Modeling

被引：2

作者：

Agarwal, Reshu ^{[1
]}

Gupta, Rakesh ^{[2
]}

Garg, J. K. ^{[1
]}

机构：

[1] GSS Indraprastha Univ, Univ Sch Environm Management, Delhi 110403, India

[2] Dept Stat, Meerut 250004, Uttar Pradesh, India

来源：

JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING | 2009年 / 37卷 / 03期

关键词：

MODIS; ARIMA; Methane; Wetlands;

D O I：

10.1007/s12524-009-0040-8

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A three-step hierarchical Semi Automated Empirical Methane Emission Model (SEMEM) has been used to estimate methane emission from wetlands and waterlogged areas in India using Moderate Resolution Imagine Spectro-radiometer (MODIS) sensor data onboard Terra satellite. Wetland Surface Temperature (WST), methane emission fluxes and wetland extent have been incorporated as parameters in order to model the methane emission. Analysis of monthly MODIS data covering the whole of India from November 2004 to April 2006 was carried out and monthly methane emissions have been estimated. Interpolation techniques were adopted to fill the data gaps due to cloudy conditions during the monsoon period. AutoRegressive Integrated Moving Average (ARIMA) model has been fitted to estimate the emitted methane for the months of May 2006 to August 2006 using SPSS software.

引用

页码：473 / 481

页数：9

共 50 条

[41] An Enhanced TIMESAT Algorithm for Estimating Vegetation Phenology Metrics From MODIS Data
Tan, Bin
Morisette, Jeffrey T.
Wolfe, Robert E.
Gao, Feng
Ederer, Gregory A.
Nightingale, Joanne
Pedelty, Jeffrey A.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (02) : 361 - 371
[42] Estimating photosynthetically active radiation at the Earth's surface from MODIS data
Xia, CZ
Xiong, LY
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 4119 - 4122
[43] Estimating Arctic sea-ice shortwave albedo from MODIS data
Qu, Ying
Liang, Shunlin
Liu, Qiang
Li, Xijia
Feng, Youbin
Liu, Suhong
REMOTE SENSING OF ENVIRONMENT, 2016, 186 : 32 - 46
[44] Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model
Zhang, QY
Xiao, XM
Braswell, B
Linder, E
Baret, F
Moore, B
REMOTE SENSING OF ENVIRONMENT, 2005, 99 (03) : 357 - 371
[45] A direct method for estimating net surface shortwave radiation from MODIS data
Tang, Bohui
Li, Zhao-Liang
Zhang, Renhua
REMOTE SENSING OF ENVIRONMENT, 2006, 103 (01) : 115 - 126
[46] Statistical analysis of aerosols over the Gangetic-Himalayan region using ARIMA model based on long-term MODIS observations
Soni, Kirti
Kapoor, Sangeeta
Parmar, Kulwinder Singh
Kaskaoutis, Dimitris G.
ATMOSPHERIC RESEARCH, 2014, 149 : 174 - 192
[47] Estimating enteric methane and carbon dioxide emission from lactating dairy cows using GreenFeed system.
Hailemariam, D.
Manafiazar, G.
Basarab, J.
Miglior, F.
Plastow, G.
Wang, Z.
JOURNAL OF ANIMAL SCIENCE, 2016, 94 : 182 - 182
[48] Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data
Xiao, Xiongxin
He, Tao
Liang, Shunlin
Liu, Xinyan
Ma, Yichuan
Liang, Shuang
Chen, Xiaona
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2022, 114
[49] A statistical framework for estimating air temperature using MODIS land surface temperature data
Janatian, Nasime
Sadeghi, Morteza
Sanaeinejad, Seyed Hossein
Bakhshian, Elham
Farid, Ali
Hasheminia, Seyed Majid
Ghazanfari, Sadegh
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 (03) : 1181 - 1194
[50] Methane Emission From Global Lakes: New Spatiotemporal Data and Observation-Driven Modeling of Methane Dynamics Indicates Lower Emissions
Johnson, Matthew S.
Matthews, Elaine
Du, Jinyang
Genovese, Vanessa
Bastviken, David
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2022, 127 (07)

← 1 2 3 4 5 →