Current Science

Open Access Open Access  Restricted Access Subscription Access

Crop Phenology and Soil Moisture Applications of SCATSAT-1


Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 015, India
2 Indian Institute of Remote Sensing, Dehradun 248 001, India
3 Vellore Institute of Technology, Vellore 632 014, India
4 M.P. Council of Science and Technology, Bhopal 462 003, India
5 Banaras Hindu University, Varanasi 221 005, India
6 Mahalanobis National Crop Forecast Centre, Delhi 110 012, India
 

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.
User
Notifications
Font Size


  • Crop Phenology and Soil Moisture Applications of SCATSAT-1

Abstract Views: 455  |  PDF Views: 168

Authors

Nilima R. Chaube
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Sasmita Chaurasia
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Rojalin Tripathy
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Dharmendra Kumar Pandey
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Arundhati Misra
Space Applications Centre, ISRO, Ahmedabad 380 015, India
B. K. Bhattacharya
Space Applications Centre, ISRO, Ahmedabad 380 015, India
Prakash Chauhan
Indian Institute of Remote Sensing, Dehradun 248 001, India
Kiran Yarakulla
Vellore Institute of Technology, Vellore 632 014, India
G. D. Bairagi
M.P. Council of Science and Technology, Bhopal 462 003, India
Prashant Kumar Srivastava
Banaras Hindu University, Varanasi 221 005, India
Preeti Teheliani
Mahalanobis National Crop Forecast Centre, Delhi 110 012, India
S. S. Ray
Mahalanobis National Crop Forecast Centre, Delhi 110 012, India

Abstract


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.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi6%2F1022-1031