Geoscience Reference
In-Depth Information
Climate informatics module
Climate informatics module consists of spatial distribution of climate and
its change detection through daily, monthly and annual weather data
(temperature, rainfall, humidity and evaporation) of two study periods,
i.e., during 1985-1990 and 2005-2010. To assess the climate change during
last 25 years, a comprehensive meteorological study carried out for period
2005-2010 and compared the results of this study with the previous one
carried out during 1985-1990 (Bight 1991) from the same study area (i.e.,
Dabka watershed). Consequentially the spatial distribution of climate
throughout the study area has been carried out as subtropical climate,
temperate climate and moist temperate climate in respect to meteorological
data of both study periods. These meteorological data recorded at fi ve
meteorological observatories. Four observatories located in sample micro-
watershed established at different elevation and running by geology and
geography department of the Kumaun University and one located at a lower
elevation of the study area established and run by Irrigation Department
of Uttarakhand state government. The four meteorological station run by
the Kumaun University funded by Govt. of India under different agencies
as per their requirement, i.e., Department of Environment (1985-1990),
Department of Science and Technology (2005-2010) government of India.
Land use informatics module
Land use informatics module consists of decadal and annual change
detection in spatial distribution of the land-use pattern. Indian Remote
Sensing Satellite (IRS-1C) LISS III and PAN merged data of 1990 and
2010 was used for the analysis and mapping of land cover/land use for
the respective years (Fig. 11.2). Supplementary data and information
required for the study have been generated from various primary as well
as secondary sources. The primary information was generated through
fi eld surveys, mapping, interviews, etc., and the relevant secondary data
was collected from various sources, such as, Census of India—2001,
Government, Land Records, forests maps, etc. radiometric corrections were
done employing dark pixel subtraction technique. The satellite images
of the study area were registered geometrically using SOI Topographical
Sheets (56 O/7NE and 56 O/7NW) of the area at scale 1:25000. For
carrying out this important exercise uniformly distributed common
Ground Control Points (GCPs) were selected and marked with root mean
square (rms) error of one pixel and the images used were resampled by
cubic convolution method. Both the data sets were then co-registered
for further analysis initially, the LISS and PAN data were co-registered
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