Upadhyaya, DB and Evans, J and Muddu, S and Tomer, SK and Bitar, AA and Yeggina, S and S, T and Morrison, R and Fry, M and Tripathi, SN and Mujumdar, M and Goswami, M and Ganeshi, N and Nema, MK and Jain, SK and Angadi, SS and Yenagi, BS (2021) The Indian COSMOS network (ICON): Validating L-band remote sensing and modelled soil moisture data products. In: Remote Sensing, 13 (3).
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Abstract
Availability of global satellite based Soil Moisture (SM) data has promoted the emergence of many applications in climate studies, agricultural water resource management and hydrology. In this context, validation of the global data set is of substance. Remote sensing measurements which are representative of an area covering 100 m2 to tens of km2 rarely match with in situ SM measurements at point scale due to scale difference. In this paper we present the new Indian Cosmic Ray Network (ICON) and compare it�s data with remotely sensed SM at different depths. ICON is the first network in India of the kind. It is operational since 2016 and consist of seven sites equipped with the COSMOS instrument. This instrument is based on the Cosmic Ray Neutron Probe (CRNP) technique which uses non-invasive neutron counts as a measure of soil moisture. It provides in situ measurements over an area with a radius of 150�250 m. This intermediate scale soil moisture is of interest for the validation of satellite SM. We compare the COSMOS derived soil moisture to surface soil moisture (SSM) and root zone soil moisture (RZSM) derived from SMOS, SMAP and GLDASNoah. The comparison with surface soil moisture products yield that the SMAPL4SSM showed best performance over all the sites with correlation (R) values ranging from 0.76 to 0.90. RZSM on the other hand from all products showed lesser performances. RZSM for GLDAS and SMAPL4 products show that the results are better for the top layer R = 0.75 to 0.89 and 0.75 to 0.90 respectively than the deeper layers R = 0.26 to 0.92 and 0.6 to 0.8 respectively in all sites in India. The ICON network will be a useful tool for the calibration and validation activities for future SM missions like the NASA-ISRO Synthetic Aperture Radar (NISAR). © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
| Item Type: | Journal Article |
|---|---|
| Publication: | Remote Sensing |
| Publisher: | MDPI AG |
| Additional Information: | The copyright for this article belongs to Authors |
| Keywords: | Agricultural robots; Cosmic rays; Cosmology; Information management; NASA; Remote sensing; Soil moisture; Space-based radar; Synthetic aperture radar; Water management, Agricultural water; Calibration and validations; Climate studies; Cosmic ray neutron; In-situ measurement; Products yields; Root zone soil moistures; Surface soil moisture, Soil surveys |
| Department/Centre: | Division of Mechanical Sciences > Civil Engineering |
| Date Deposited: | 13 Jul 2021 05:51 |
| Last Modified: | 13 Jul 2021 05:51 |
| URI: | http://eprints.iisc.ac.in/id/eprint/68814 |
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