Rajasheker Reddy Pullanagari

Orcid: 0000-0001-6560-986X

According to our database1, Rajasheker Reddy Pullanagari authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A physically informed multi-scale deep neural network for estimating foliar nitrogen concentration in vegetation.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
A Unified Physically Based Method for Monitoring Grassland Nitrogen Concentration with Landsat 7, Landsat 8, and Sentinel-2 Satellite Data.
Remote. Sens., 2023

2021
Mapping a Cloud-Free Rice Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics.
Remote. Sens., 2021

2020
Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1.
Remote. Sens., 2020

Mapping Antimony Concentration over Geothermal Areas Using Hyperspectral and Thermal Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Biogeochemical Exploration of Gold Mineralization and its Pathfinder Elements Using Hyperspectral Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018
Integrating Airborne Hyperspectral, Topographic, and Soil Data for Estimating Pasture Quality Using Recursive Feature Elimination with Random Forest Regression.
Remote. Sens., 2018

Integrating airborne hyperspectral imagery and LiDAR for volcano mapping and monitoring through image classification.
Int. J. Appl. Earth Obs. Geoinformation, 2018

Determining Uncertainty Prediction Map of Copper Concentration in Pasture from Hyperspectral Data Using Qunatile Regression Forest.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Geological Mapping of Hydrothermal Alteration on Volcanoes from Multi-Sensor Platforms.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Quantification of dead vegetation fraction in mixed pastures using AisaFENIX imaging spectroscopy data.
Int. J. Appl. Earth Obs. Geoinformation, 2017


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