Jadunandan Dash

Orcid: 0000-0002-5444-2109

Affiliations:
  • University of Southampton, UK


According to our database1, Jadunandan Dash authored at least 40 papers between 2004 and 2024.

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Bibliography

2024
Near-infrared digital hemispherical photography enables correction of plant area index for woody material during leaf-on conditions.
Ecol. Informatics, March, 2024

2023
A Radiometric Block Adjustment Method for Unmanned Aerial Vehicle Images Considering the Image Vignetting.
IEEE Trans. Geosci. Remote. Sens., 2023

Evaluating the Capability of Sentinel-1 Data in the Classification of Canola and Wheat at Different Growth Stages and in Different Years.
Remote. Sens., 2023

Assessment of Active LiDAR Data and Passive Optical Imagery for Double-Layered Mangrove Leaf Area Index Estimation: A Case Study in Mai Po, Hong Kong.
Remote. Sens., 2023

Stage 1 Validation of Plant Area Index From the Global Ecosystem Dynamics Investigation.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Characterising the Land Surface Phenology of Middle Eastern Countries Using Moderate Resolution Landsat Data.
Remote. Sens., 2022

Assessing the Accuracy of Forest Phenological Extraction from Sentinel-1 C-Band Backscatter Measurements in Deciduous and Coniferous Forests.
Remote. Sens., 2022

Maize Yield Estimation in Intercropped Smallholder Fields Using Satellite Data in Southern Malawi.
Remote. Sens., 2022

Quantifying the impacts of opencast mining on vegetation dynamics over eastern India using the long-term Landsat-series satellite dataset.
Ecol. Informatics, 2022

GBOV (Ground-Based Observation for Validation): A Copernicus Service for Validation of Land Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Deriving Leaf Area Index Reference Maps Using Temporally Continuous In Situ Data: A Comparison of Upscaling Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

The Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World.
Remote. Sens., 2021

Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework.
Remote. Sens., 2021

Potential of Automated Digital Hemispherical Photography and Wireless Quantum Sensors for Routine Canopy Monitoring and Satellite Product Validation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
The Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive.
Remote. Sens., 2020

2019
Synergetic Exploitation of the Sentinel-2 Missions for Validating the Sentinel-3 Ocean and Land Color Instrument Terrestrial Chlorophyll Index Over a Vineyard Dominated Mediterranean Environment.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Correction: Shang, R.; Liu, R.; Xu, M.; Liu, Y.; Dash, J.; Ge, Q. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories, <i>Remote Sens.</i> 2018, <i>10</i>, 122.
Remote. Sens., 2019

Estimating Forest Leaf Area Index and Canopy Chlorophyll Content with Sentinel-2: An Evaluation of Two Hybrid Retrieval Algorithms.
Remote. Sens., 2019

Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2019

GBOV (Ground-Based Observation for Validation): A Copernicus Service for Validation of Vegetation Land Products.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories.
Remote. Sens., 2018

Validation of the Sentinel-3 Ocean and Land Colour Instrument (OLCI) Terrestrial Chlorophyll Index (OTCI): Synergetic Exploitation of the Sentinel-2 Missions.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Fusion of Landsat 8 OLI and Sentinel-2 MSI Data.
IEEE Trans. Geosci. Remote. Sens., 2017

RECENT trends in the land surface phenology of africa observed at a fine spatial scale.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Classification of Vegetation Type in Iraq Using Satellite-Based Phenological Parameters.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A systematic review of vegetation phenology in Africa.
Ecol. Informatics, 2016

2015
Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data.
Remote. Sens., 2015

Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8.
Remote. Sens., 2015

Spatiotemporal variation in the terrestrial vegetation phenology of Iraq and its relation with elevation.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Remote sensing of vegetation cover dynamics and resilience across southern Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2014

2013
A novel approach to estimate canopy height using ICESat/GLAS data: A case study in the New Forest National Park, UK.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2012
Methodologies and Uncertainties in the Use of the Terrestrial Chlorophyll Index for the Sentinel-3 Mission.
Remote. Sens., 2012

Evaluation of Envisat MERIS Terrestrial Chlorophyll Index-Based Models for the Estimation of Terrestrial Gross Primary Productivity.
IEEE Geosci. Remote. Sens. Lett., 2012

Exploiting ten years of MERIS data over land surfaces.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2010
Terrestrial vegetation phenology from MODIS and MERIS.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Estimating terrestrial gross primary productivity with the Envisat Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI).
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2007
Discriminating and mapping the C3 and C4 composition of grasslands in the northern Great Plains, USA.
Ecol. Informatics, 2007

2006
Relationship between herbicide concentration during the 1960s and 1970s and the contemporary MERIS Terrestrial Chlorophyll Index (MTCI) for southern Vietnam.
Int. J. Geogr. Inf. Sci., 2006

2004
Evaluation of the MERIS terrestrial chlorophyll index.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004


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