Modeling soil respiration for indo-gangetic plain
Student name: Mr Ravikant
Guide: Dr P K Joshi
Year of completion: 2011
Host Organisation: Regional Remote Sensing Centre-North, NRSC, Indian Space Research Organisation (ISRO), Dept. of Spac
Supervisor (Host Organisation): Dr M. Kudrat
Abstract: Soil respiration is a process of CO2 addition from terrestrial ecosystem to
atmosphere and is highly sensitive to temperature. With rising global
temperature, soil respiration could give potential positive feedbacks to climate
change. Present study deals with the use of remote sensing in quantifying soil
respiration through modeling. The field data collected over the period of May
2007 till April 2009 for CO2 efflux rate and soil temperature was processed to
get the monthly mean CO2 efflux rate and monthly mean soil temperature for
various locations of indo- Indo-Gangetic plain. Also, monthly mean land surface
temperature images for Indo-Gangetic plain were generated for each month
from May 2007 till April 2009 using MODIS MOD11A2 LST product. MODIS
derived LST was calibrated by Simple linear regression between ground
measurement and LST. A strong positive correlation between MODIS LST and
the field soil temperature with coefficient of determination (R2
) 0.646 was
observed. Monthly mean soil temperature = 0.789xMODIS monthly mean LST +
2.48.Monthly mean calibrated soil temperature images were obtained using the
relation developed: Various temperature dependent linear, power, exponential
and logistic models of soil respiration were fitted on the field data and analyzed.
Modified Schlentner and Cleve model fitted the data well than the other models
with coefficient of determination (R2
) 0.325 and root mean square error
0.2313188 g m
-2
hr-1
. Also linear model was chosen because of its good
predictability and simplicity. Finally these models were used to obtain the mean
soil respiration images for Indo-Gangetic plain.
Key words: Soil respiration, Models, Temperature, Land surface temperature,
Indo-Gangetic plain.
