Ankur Pandit
According to our database1,
Ankur Pandit
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
Sugarcane Area Mapping with Zero Labels Using Hybrid Unsupervised and Supervised Approach.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
2023
Estimation of Wheat Crop Height Using Multivariate Regression and Sentinel-1-Derived Radar Backscatter Response.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Estimation of Soil Organic Carbon and Bulk Density for Carbon Stock Assessment in Croplands Using the Sentinel-1 and 2 Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Spatial Downscaling of Vegetation Optical Depth Using the Modis and Srtm Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Assessing InSAR Coherence for Quantification of Agriculture Area Affected by Rainfall Events in Gujrat, India.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Investigating the Performance of Hyperspectral and Simulated Sentinel-2 Data for Soybean Canopy Nitrogen Estimation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Field Boundary Identification using Convolutional Neural Network and GIS on High Resolution Satellite Observations.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021
Simulation of Sentinel-2 data using Hyperspectral Data for Bare Surface Soil Moisture Estimation.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021
2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Integration of Sentinel 1 and 2 Observations for Mapping Early and Late Sowing of Soybean and Cotton Crop Using Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020