ESTIMATION OF CO2 BUDGET ON PEATLANDS IN INDONESIA BY USING SATELLITE BASED DATA.

被引：0

作者：

Park, Haemi ^{[1
]}

Takeuchi, Wataru ^{[1
]}

机构：

[1] Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 1538505, Japan

来源：

2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2013年

关键词：

Carbon dioxide; Wetland; Ground water table; MOD17A2;

D O I：

10.1109/IGARSS.2013.6723420

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The peatlands are known as the carbon sink in natural. However some disturbances such as fire and drainage are occurred in Indonesian peatlands. The declining of ground water table is the most influential reason of carbon emission from peatlands. For detecting CO2 emission from peatlands in Indonesia, ground water table was estimated by satellite based precipitation and land surface temperature. The CO2 emission is represented by NEE(Net Ecosystem CO2 Exchange) which can be calculated with this equation; NEE = ER - GPP; where ER is ecosystem respiration, and GPP is gross primary productivity. As the result, the ecosystem respiration was larger than GPP in this peat forest. The annual average of ER was about twice of GPP in this region. The GPP of MOD17A2 is underestimated from in-situ observed GPP with 37.2%. The CO2 emission through fire and respiration is increased when GWT was declined.

引用

页码：2856 / 2859

页数：4

共 50 条

[41] Was Australia a sink or source of CO2 in 2015? Data assimilation using OCO-2 satellite measurements
Villalobos, Yohanna
Rayner, Peter J.
Silver, Jeremy D.
Thomas, Steven
Haverd, Vanessa
Knauer, Jurgen
Loh, Zoe M.
Deutscher, Nicholas M.
Griffith, David W. T.
Pollard, David F.
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (23) : 17453 - 17494
[42] Can boreal peatlands with pools be net sinks for CO2?
Pelletier, Luc
Strachan, Ian B.
Roulet, Nigel T.
Garneau, Michelle
ENVIRONMENTAL RESEARCH LETTERS, 2015, 10 (03):
[43] Estimation of stratigraphic heterogeneity using seismic reflection data.
Imhof, MG
Toksöz, MN
JOURNAL OF SEISMIC EXPLORATION, 2000, 9 (01): : 41 - 60
[44] Estimation of CO2 flux from targeted satellite observations: a Bayesian approach
Cox, Graham
INVERSE PROBLEMS, 2014, 30 (11)
[45] Regional-Scale Estimation of Electric Power and Power Plant CO2 Emissions Using Defense Meteorological Satellite Program Operational Linescan System Nighttime Satellite Data
Letu, Husi
Nakajima, Takashi Y.
Nishio, Fumihiko
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, 2014, 1 (05): : 259 - 265
[46] The assessment of wind energy in Indonesia by using satellite data
Widhiyanuriyawan, Denny
Hamidi, Nurkholis
Sugiarto
Widhiyaningtyas, Triyanna
32nd Asian Conference on Remote Sensing 2011, ACRS 2011, 2011, 4 : 2567 - 2571
[47] Estimation of space heating CO2 emissions based only on CO2 fluxes observations
Goret, Marine
Masson, Valery
Moine, Marie-Pierre
Maurel, William
Legain, Dominique
Pigeon, Gregoire
URBAN CLIMATE, 2025, 59
[48] THE SPATIOTEMPORAL VARIATIONS OF CO2 IN THE TROPOSPHERE USING MULTI-SENSOR SATELLITE DATA AND AIRCRAFT OBSERVATION
Lee, Sanggyun
Im, Jungho
Lee, Myong-In
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2214 - 2217
[49] Using continuous data to estimate clear-sky errors in inversions of satellite CO2 measurements
Corbin, Katherine D.
Denning, A. Scott
GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (12)
[50] Mapping urban CO2 emissions using DMSP/OLS 'city lights' satellite data in China
Wang, Yan
Li, Guangdong
ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE, 2017, 49 (02): : 248 - 251

← 1 2 3 4 5 →