Abstract
Abstract. The paper reports the measurements of biophysical parameters using field and satellite data over a tropical deciduous forest Kanha National Park (KNP), central India. Field measurement (GBH, LAI, litter, soil moisture) was carried out over ten quadrates of 0.1ha in KNP for characterization of biophysical parameters with specified measurement protocol and sampling. Satellite based remote sensing analysis (LAI, Phenology, and NPP) was carried out using multi date observations of IRS-LISS-III, IMS-1MX, SPOT-VEGETATION and EOS-MODIS instruments. Rank correlation analysis using field data collected in the selected quadrates at KNP showed Sal (Shorea robusta) is dominant forest species followed by Lendia, Jamun (Syzygium cumini), Saja, Harra and Dhawda etc. Field measurement of Sal showed GBH range from 20 cm to 170 cm. Different forest classes such as Sal; Sal mixed with Jamun, Bamboo (Dendrocalamus strictus) etc, including grasslands/scrubland were classified with overall accuracy of 85.56 percent using March, May and October multi spectral data. Sal has distinct growth characteristics (low vegetation growth/ leaf fall in March instead of May) as compared to other vegetation species. As per the Leaf Area Index (LAI) measurement using hemispherical photographs, Sal showed the highest LAI (6.95 m2/m2) during September and lowest LAI (2.63 m2/m2) during March. Overall good agreement (r= 0.79) was found between the LAI generated from LISS-III and MODIS data product. It was observed from SPOT-VEGETATION analysis that NPP varied from 8.4 tC/ha/year (dry deciduous forest) to 14.25 tC/ha/year (Moist deciduous forest) in KNP.
Highlights
Tropical deciduous forest plays an important role in governing energy, water and carbon exchange over tropics (Bonan et al 1992)
Satellite remote sensing provides important input to address some of the issues concerning biophysical parameters and needed validation of products from field measurements (Pandya et al 2005)
Satellite based remote sensing analysis was carried out using multi date observations of IRS-LISS-III, IMS-1 MX, SPOTVEGETATION and EOS-MODIS instruments
Summary
Tropical deciduous forest plays an important role in governing energy, water and carbon exchange over tropics (Bonan et al 1992). Ravindranath et al (2006) have reported that there can be shifts in forest types in India under different climate projections using BIOME4 model. Satellite based biophysical products such as land cover; LAI and phenology help in modeling the fluxes in forest using climate models at the different temporal and spatial scales. Satellite derived LAI has been incorporated into land surface models and demonstrated its importance in climate simulation. The paper reports the experimental details and salient finding of the forest biophysical characterization and modeling experiment being carried out in Kanha National Park (KNP), Madhya Pradesh under the Energy and Mass Exchange in Vegetative System (EMEVS) project of ISRO-Geosphere and Biosphere Program, India
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