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Sinha, S.
- SCATSAT-1 Scatterometer:An Improved Successor of OSCAT
Abstract Views :258 |
PDF Views:98
Authors
T. Misra
1,
P. Chakraborty
1,
C. Lad
1,
P. Gupta
1,
J. Rao
1,
G. Upadhyay
1,
S. Vinay Kumar
1,
B. Saravana Kumar
1,
S. Gangele
1,
S. Sinha
1,
H. Tolani
1,
V. K. Vithani
1,
B. S. Raman
1,
C. V. N. Rao
1,
D. B. Dave
1,
R. Jyoti
1,
N. M. Desai
1
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
Source
Current Science, Vol 117, No 6 (2019), Pagination: 941-949Abstract
SCATSAT-1 is the Indian Space Research Organisation’s (ISRO’s) newest Ku-band scatterometer which was launched on 26 September 2016 from ISRO’s space-port Sriharikota on-board the PSLV C35 mission. It is an advanced follow-on of OSCAT, ISRO’s first Scatterometer in space on-board the Oceansat-2 satellite, which ceased to operate in April 2014. OSCAT had been a globally acclaimed sensor during its lifetime. The data from SCATSAT-1 exhibit superior quality, and will not only serve the operational wind and weather prediction community in the years to come, but also hold the promise of securing a place in the long-term climate data records. SCATSAT-1 is a standalone scatterometer mission atop the Indian Mini Satellite (IMS-2) bus. The scatterometer payload is a two-beam, dual-polarized, conically scanning, pencil beam, real-aperture radar which measures near-surface wind vectors over ocean exploiting Bragg scattering resonance at Ku-band. It has been developed in ISRO’s Space Applications Centre, Ahmedabad in less than two and half years to replace OSCAT. Although it inherits the instrument specifications from OSCAT, several enhancements have been made in its hardware as well as in the payload characterization from the purview of miniaturization and performance improvement over OSCAT. This article highlights the hardware improvements, the payload characterization methods devised, and the performance enhancements of SCATSAT-1 over OSCAT. The in-orbit performance of SCATSAT-1 is also discussed.Keywords
OSCAT, SCATSAT-1, Scatterometer, Sigma-0.References
- Misra, T. et al., Oceansat-II scatterometer: sensor performance evaluation, σ 0 analyses and estimation of biases. IEEE Trans. Geosci. Remote Sensing, 2014, 52(6), 3310–3315.
- Impact of Land Use/Land Cover on Soil Carbon and Nitrogen Fractions in North-Eastern Part of India
Abstract Views :56 |
PDF Views:34
Authors
Affiliations
1 Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar 736 165, IN
2 Department of Agricultural Statistics, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar 736 165, IN
1 Department of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar 736 165, IN
2 Department of Agricultural Statistics, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar 736 165, IN
Source
Current Science, Vol 125, No 3 (2023), Pagination: 291-298Abstract
Land use/land cover (LULC) plays a pivotal role in maintaining the carbon (C) and nitrogen (N) balance in the ecosystem. It is also important for controlling soil organic carbon (SOC) levels by affecting the quantity and quality of below- and above-ground litter inputs and subsequent decomposition. The aim of the present study was to understand the effect of LULC on the C and N fractions and their stocks in the Eastern Himalayan floodplain. The study was conducted at the Pundibari campus of Uttar Banga Krishi Viswavidyalaya, Cooch Behar, West Bengal, India, hosting four kinds of land uses – agricultural croplands, grasslands, plantation croplands and human-interfered lands. The soils were acidic (pH 5.13–5.68) irrespective of the LULC type and low in bulk density (1.02–1.27 g/cm3). Estimation of several forms of C and N, viz. SOC, total C, available N, ammoniacal N, nitrate N, total N, C stock, N stock, etc., indicated variations in these forms under different LULC types. Significant variations (P < 0.05) were found for SOC and ammoniacal N content in different LULC types. Both mean C and N stocks were found highest in grassland soils (18.91 and 2.64 t ha–1 respectively), followed by plantation croplands (17.24 and 2.41 t ha–1 respectively).Keywords
Carbon and Nitrogen Stock, Flood Plain, Land Use/Land Cover, Resource Map, Soil Quality.References
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