Estimation of methane emission from West Siberian wetland by scaling technique between NOAA AVHRR and SPOT HRV

摘要

Wetlands are one of the most important ecosystems in the world and at the same time they are presumed to be a source of methane gas, which is one of the most important greenhouse gases. The West Siberian wetlands is the largest in the world and remote sensing techniques can play an important role for monitoring the wetland. High spatial resolution satellite data are effective for monitoring land cover type changes, but can't cover a wide area because of a narrow swath width. On the other hand, global scale data are indispensable in covering a large area, but are too coarse to get the detailed information due to the low spatial resolution. It is necessary to devise a method for the fusion of the data with different spatial resolutions for monitoring the scale-differed phenomena. In this paper, firstly, a SPOT HRV image near Plotnikovo mire was used to map four wetland ecosystems (birch forest, conifer forest, forested bog and open bog) supplemented by field observation. Then, spectral mixture analysis was performed between NOAA AVHRR and SPOT HRV data acquired on the same day. Secondly, field observations were scaled up with these different spatial resolution satellite data. Each of the wetland ecosystem coverage fraction at the sub-pixel level was provided by spectral mixture analysis. Field observation shows that the mean rate of CH4 emission from forested bog and open bog averaged 21.1 and 233.1 (mg CH4/m(2)/day), respectively. The methane emission from the area was estimated by multiplying these average methane emission rates and the fraction coverage in each AVHRR pixel. Finally, the total methane emission over AVHRR coverage was estimated to be 9.46 (10(9) g CH4/day) and the mean methane emission over AVHRR coverage was calculated as 59.3 (mg CH4/m(2)/day). We could conclude that this mean value is within the probabilistic variability as compared with the airborne measurement results. (C) 2003 Published by Elsevier Science Inc. [References: 19]