Ankit Patnala

Forschungszentrum Jülich — Germany

Engineering · Physical Sciences

3h-index47citations15works1.32yr avg
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Research Topics

Remote-Sensing Image Classification(7), Remote Sensing in Agriculture(5), Smart Agriculture and AI(5), Air Quality Monitoring and Forecasting(5), Remote Sensing and Land Use(5)

Publications15 total

BERT Bi-modal self-supervised learning for crop classification using Sentinel-2 and Planetscope
Frontiers in Remote Sensing·2025· 1 citedOpen Access
TOAR-classifier v2: A data-driven classification tool for global air quality stations
2025Open Access
Bi-modal contrastive learning for crop classification using Sentinel-2 and Planetscope
Frontiers in Remote Sensing·2024· 3 citedOpen Access
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2023Open Access
Multi-modal Contrastive Learning for Crop Classification Using Sentinel2 and Planetscope
2023Open Access
Multi-modal Contrastive Learning for Crop Classification Using Sentinel2 and Planetscope
2023Open Access
Multi-Modal Self-Supervised Learning for Boosting Crop Classification Using Sentinel2 and Planetscope
2023· 1 cited
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2023Open Access
Generating Views Using Atmospheric Correction for Contrastive Self-Supervised Learning of Multispectral Images
IEEE Geoscience and Remote Sensing Letters·2023· 2 cited
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2022Open Access
Generating Views Using Atmospheric Correction for Contrastive Self-supervised Learning of Multi-spectral Images
2022Open Access
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
Geoscientific model development·2022· 28 citedOpen Access
Comment on gmd-2022-2
2022Open Access
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
2022· 4 citedOpen Access
Global fine resolution mapping of ozone metrics through explainable machine learning
2021· 8 citedOpen Access

Frequent Co-authors

Martin G. Schultz(13), Scarlet Stadtler(11), Jüergen Gall(8), Clara Betancourt(4), Timo T. Stomberg(4), Ann-Kathrin Edrich(4), Ribana Roscher(4), Julia Kowalski(4), Karim Mache(1), Sabine Schröder(1), Michael Langguth(1)