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Preethi Konkathi
Observed name:
P. Konkathi
Institution:
Indian Institute of Technology Bombay
Observed institutions:
National Institute of Technology Karnataka,
Université de Bordeaux,
Indian Institute of Technology Bombay,
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement,
Interaction Sol Plante Atmosphère
ORCID:
0000-0002-2720-0964
Observed ORCID:
0000-0002-2720-0964
OpenAlex ID:
A5052038438
Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India
2020
·
Venkatesh Kolluru
, Srinivas Kolluru
, et al.
·
Atmospheric Research
·
62
Inter comparison of post-fire burn severity indices of Landsat-8 and Sentinel-2 imagery using Google Earth Engine
2021
·
Preethi Konkathi
, Amba Shetty
·
Earth Science Informatics
·
43
Utility of L-band and X-band vegetation optical depth to examine vegetation response to soil moisture droughts in South Asia
2023
·
Preethi Konkathi
, L. Karthikeyan
·
Remote Sensing of Environment
·
32
Error and uncertainty characterization of soil moisture and VOD retrievals obtained from L-band SMAP radiometer
2022
·
P. Konkathi
, L. Karthikeyan
·
Remote Sensing of Environment
·
27
Dominant role of grazing and snow cover variability on vegetation shifts in the drylands of Kazakhstan
2024
·
Venkatesh Kolluru
, Ranjeet John
, et al.
·
Communications Earth & Environment
·
14
PDF
Assessment of Burn Severity using Different Fire Indices: A Case Study of Bandipur National Park
2019
·
Preethi Konkathi
, Amba Shetty
·
13
A novel calibration of global soil roughness effects for SMOS-IC soil moisture and L-VOD products
2025
·
Preethi Konkathi
, Xiaojun Li
, et al.
·
Remote Sensing of Environment
·
12
Dynamic vegetation parameter retrieval algorithm for SMAP L-band radiometer observations
2025
·
Preethi Konkathi
, L. Karthikeyan
·
Remote Sensing of Environment
·
10
Static Fire Risk Index for the Forest Resources of Karnataka
2019
·
Preethi Konkathi
, Amba Shetty
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
9
Seasonal-scale intercomparison of SMAP and fused SMOS-SMAP soil moisture products
2024
·
Zanpin Xing
, Xiaojun Li
, et al.
·
Frontiers in Remote Sensing
·
7
PDF
Assessment and intercomparison of 23 global satellite and model-based soil moisture products using cosmic ray neutron sensing observations over Europe
2025
·
Pariha Helili
, Xiaojun Li
, et al.
·
Remote Sensing of Environment
·
3
Dynamic Vegetation Parameter Retrieval Algorithm For Smap L-Band Observations
2023
·
Preethi Konkathi
, L. Karthikeyan
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
·
2
Towards physically consistent soil roughness for CIMR L-band soil moisture and VOD retrievals
2026
·
Debolina Mondal
, Lanka Karthikeyan
, et al.
·
Remote Sensing of Environment
·
1
Global comparison of different effective scattering albedo and soil roughness parameterization schemes for SMAP soil moisture and L-VOD retrieval
2026
·
Yao Xiao
, Xiaojun Li
, et al.
·
Remote Sensing of Environment
Evaluating Temporal Deep Learning and Tree-Based Models for Rice Irrigation-Practice Classification
2026
·
Pratyush V. Talreja
, Preethi Konkathi
, et al.
·
International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
Multi-Sensor Satellite Remote Sensing for Mapping Soil Organic Carbon Over Paddy Fields
2026
·
Balaji M
, Preethi Konkathi
, et al.
·
International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)
Monitoring Crop Residue Burning in Smallholder Farms at Sub-Field Scale Using High-resolution Satellite Imagery
2026
·
Preethi Konkathi
, Nathan Torbick
, et al.
QUAntifying ricE gReenhouse gas Emissions (QUAERE): Mitigation Potential of Sustainable Irrigation Practice in India
2026
·
Ishan Ajmera
, Mahesh Sirimalle
, et al.
Advanced Remote Sensing for Climate-Smart Rice Practices: Mapping DSR and TPR in India
2024
·
Preethi Konkathi
, Nathan Torbick
, et al.
·
IEEE India Geoscience and Remote Sensing Symposium (InGARSS)
Satellite-Based Field Boundaries Detection in India
2024
·
Akshay Saini
, Karuna Rai
, et al.
·
IEEE India Geoscience and Remote Sensing Symposium (InGARSS)
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Works count:
20
Citation count:
235
H-index:
9
I10-index:
8
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