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A Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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inferred← citeshttps://doi.org/10.3390/rs12121965openalex-snapshot
Suitability of the MODIS-NDVI Time-Series for a Posteriori Evaluation of the Citrus Tristeza Virus Epidemic
inferred← citeshttps://doi.org/10.3390/rs12132104openalex-snapshot
Estimation of Gross Primary Productivity (GPP) Phenology of a Short-Rotation Plantation Using Remotely Sensed Indices Derived from Sentinel-2 Images
inferred← citeshttps://doi.org/10.3390/rs12172760openalex-snapshot
Status of Phenological Research Using Sentinel-2 Data: A Review
inferred← citeshttps://doi.org/10.3390/rs12244116openalex-snapshot
Bi-Temporal Analysis of Spatial Changes of Boreal Forest Cover and Species in Siberia for the Years 1985 and 2015
inferred← citeshttps://doi.org/10.3390/rs12244191openalex-snapshot
Phenology Modelling and Forest Disturbance Mapping with Sentinel-2 Time Series in Austria
inferred← citeshttps://doi.org/10.3390/rs13020277openalex-snapshot
Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination
inferred← citeshttps://doi.org/10.3390/rs13030403openalex-snapshot
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
inferred← citeshttps://doi.org/10.3390/rs13030469openalex-snapshot
Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region–Comparison with Data from MODIS
inferred← citeshttps://doi.org/10.3390/rs13040578openalex-snapshot
Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data
inferred← citeshttps://doi.org/10.3390/rs13040586openalex-snapshot
Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation
inferred← citeshttps://doi.org/10.3390/rs13040818openalex-snapshot
Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data
inferred← citeshttps://doi.org/10.3390/rs13142727openalex-snapshot
An Adaptive Piecewise Harmonic Analysis Method for Reconstructing Multi-Year Sea Surface Chlorophyll-A Time Series
inferred← citeshttps://doi.org/10.3390/rs13234736openalex-snapshot
Characterization of Dry-Season Phenology in Tropical Forests by Reconstructing Cloud-Free Landsat Time Series
inferred← citeshttps://doi.org/10.3390/rs14030475openalex-snapshot
Grassland Phenology Response to Climate Conditions in Biobio, Chile from 2001 to 2020
inferred← citeshttps://doi.org/10.3390/rs14030597openalex-snapshot
Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics
inferred← citeshttps://doi.org/10.3390/rs14051205openalex-snapshot
Monitoring Irrigation Events and Crop Dynamics Using Sentinel-1 and Sentinel-2 Time Series
inferred← citeshttps://doi.org/10.3390/rs14081812openalex-snapshot
Multi-Season Phenology Mapping of Nile Delta Croplands Using Time Series of Sentinel-2 and Landsat 8 Green LAI
inferred← citeshttps://doi.org/10.3390/rs14122849openalex-snapshot
Estimation of Canopy Structure of Field Crops Using Sentinel-2 Bands with Vegetation Indices and Machine Learning Algorithms
inferred← citeshttps://doi.org/10.3390/rs14163967openalex-snapshot
Bibliometric Analysis of Global NDVI Research Trends from 1985 to 2021
inferred← citeshttps://doi.org/10.3390/rs14194919openalex-snapshot
Classifying Sparse Vegetation in a Proglacial Valley Using UAV Imagery and Random Forest Algorithm
inferred← citeshttps://doi.org/10.3390/rs15061638openalex-snapshot
Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring
inferred← citeshttps://doi.org/10.3390/rs16132309openalex-snapshot
Matching Spring Phenology Indicators in Ground Observations and Remote-Sensing Metrics
inferred← citeshttps://doi.org/10.3390/rs17172927openalex-snapshot
Using Harmonized Landsat Sentinel-2 Vegetation Indices to Estimate Sowing and Harvest Dates for Corn and Soybeans in Brazil
inferred← citeshttps://doi.org/10.3390/rs18152448openalex-snapshot
A Decade of Remote Sensing for Vegetation Monitoring with Sentinel-2
inferred← citeshttps://doi.org/10.34133/remotesensing.0878openalex-snapshot
Operational Framework for Field-Scale Crop Sowing and Emergence Date Estimation Using Daily Synthetic Harmonized Landsat Sentinel-2 Time Series
inferred← citeshttps://doi.org/10.3832/ifor4043-015openalex-snapshot
Afforestation monitoring through automatic analysis of 36-years Landsat Best Available Composites
inferred← citeshttps://doi.org/10.46873/2300-3960.1003openalex-snapshot
Optimising the management of mining waste by means Sentinel-2 imagery: a case study in Joda West Iron and Manganese Mine (India)
inferred← citeshttps://doi.org/10.4995/raet.2020.13561openalex-snapshot
Phenological characterization of Fagus sylvatica L. in Mediterranean populations of the Spanish Central Range with Landsat OLI/ETM+ and Sentinel-2A/B
inferred← citeshttps://doi.org/10.5194/bg-21-473-2024openalex-snapshot
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity
inferred← citeshttps://doi.org/10.70675/35e65d45z588az4017z97d8za4d0ad369355openalex-snapshot
Evaluation of Sentinel-1 & 2 time series for the identification and characterization of ecological continuities, from wooded to crop-dominated landscapes
inferred← citeshttps://doi.org/10.7780/kjrs.2024.40.5.1.5openalex-snapshot
Study on Automated Forest Change Detection Using Medium-Resolution Satellites: The Case Study of Dogyemyeon, Samcheok City
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