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Pandey, Dharmendra Kumar
- Crop Phenology and Soil Moisture Applications of SCATSAT-1
Abstract Views :263 |
PDF Views:77
Authors
Nilima R. Chaube
1,
Sasmita Chaurasia
1,
Rojalin Tripathy
1,
Dharmendra Kumar Pandey
1,
Arundhati Misra
1,
B. K. Bhattacharya
1,
Prakash Chauhan
2,
Kiran Yarakulla
3,
G. D. Bairagi
4,
Prashant Kumar Srivastava
5,
Preeti Teheliani
6,
S. S. Ray
6
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 Indian Institute of Remote Sensing, Dehradun 248 001, IN
3 Vellore Institute of Technology, Vellore 632 014, IN
4 M.P. Council of Science and Technology, Bhopal 462 003, IN
5 Banaras Hindu University, Varanasi 221 005, IN
6 Mahalanobis National Crop Forecast Centre, Delhi 110 012, IN
1 Space Applications Centre, ISRO, Ahmedabad 380 015, IN
2 Indian Institute of Remote Sensing, Dehradun 248 001, IN
3 Vellore Institute of Technology, Vellore 632 014, IN
4 M.P. Council of Science and Technology, Bhopal 462 003, IN
5 Banaras Hindu University, Varanasi 221 005, IN
6 Mahalanobis National Crop Forecast Centre, Delhi 110 012, IN
Source
Current Science, Vol 117, No 6 (2019), Pagination: 1022-1031Abstract
SCATSAT-1 measures the backscattering coefficient over land surfaces, which is a function of vegetation structure, surface roughness, soil moisture content, incidence angle and dielectric properties of vegetation. Scatterometer image reconstruction techniques provide fine resolution data to explore the emerging applications over land by using ambiguous backscatter from land. In this paper, 2 km resolution products of ISRO’s scatterometer SCATSAT-1 are exploited for land target detection, rice crop phenology stages detection for kharif and rabi seasons and estimation of relative soil moisture over parts of India. Temporal and spatial backscatter changes are due to seasonal and changes in Land Use Land Cover. Crop phenology stages such as transplanting, maximum tillering, panicle emergence and physiological maturity stages are identified by analysing SCATSAT-1 time series along with NDVI and findings are supported by appropriate ground truth observations and crop cutting experiment (CCE) data. The relative soil moisture change detection is validated with in situ ground truth measurements using Hydraprobe, carried for SCATSAT-1 ascending and descending passes.Keywords
Crop Phenology, Gamma-0, Rice, Sigma-0, Soil Moisture, Vegetation Dynamics.Full Text
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