Disaggregated PROBA-V data allows monitoring individual crop phenology at a higher observation frequency than Sentinel-2

No abstract is available for this paper.

• Publication year

  2021

• Venue

  International Journal of Applied Earth Observation and Geoinformation

• Publication date

  2021-12-01

• Fields of study

  Agricultural and Food Sciences, Geography, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/j.jag.2021.102569
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Temporal mosaicking approaches of Sentinel-2 images for extending topsoil organic carbon content mapping in croplands

  2021cited by this paper
• Potential of Sentinel-2 Satellite Images for Monitoring Green Waste Compost and Manure Amendments in Temperate Cropland

  2021cited by this paper
• Remote sensing for agricultural applications: A meta-review

  2020cited by this paper
• Automatic Derivation of Cropland Phenological Parameters by Adaptive Non-Parametric Regression of Sentinel-2 Ndvi Time Series

  2018cited by this paper
• A Progressive Crop-Type Classification Using Multitemporal Remote Sensing Data and Phenological Information

  2018cited by this paper
• Land surface phenology: What do we really 'see' from space?

  2018cited by this paper
• A robust adaptive spatial and temporal image fusion model for complex land surface changes

  2018cited by this paper
• Towards a national, remote-sensing-based model for predicting field-scale crop yield

  2018cited by this paper
• Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product

  2017cited by this paper
• Estimating inter-annual variability in winter wheat sowing dates from satellite time series in Camargue, France

  2017cited by this paper
• Remote Sensing of Environment

  2017cited by this paper
• Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil

  2017cited by this paper
• The effect of the point spread function on sub-pixel mapping

  2017cited by this paper
• Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery

  2017cited by this paper
• A Unified Cropland Layer at 250 m for Global Agriculture Monitoring

  2016cited by this paper
• A scalable satellite-based crop yield mapper

  2015cited by this paper
• Comparing land surface phenology with leafing and flowering observations from the PlantWatch citizen network

  2015cited by this paper
• A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion

  2015cited by this paper
• A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data

  2015cited by this paper
• Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images

  2015cited by this paper
• Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

  2015cited by this paper
• Obtaining crop-specific time profiles of NDVI: the use of unmixing approaches for serving the continuity between SPOT-VGT and PROBA-V time series

  2014cited by this paper
• Remote sensing-based global crop monitoring: experiences with China's CropWatch system

  2014cited by this paper
• The use of satellite data for crop yield gap analysis

  2013cited by this paper
• Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs

  2013cited by this paper
• Satellite detection of earlier wheat sowing in India and implications for yield trends

  2013cited by this paper
• Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

  2013cited by this paper
• Crop type mapping using spectral-temporal profiles and phenological information

  2012cited by this paper
• Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project

  2010cited by this paper
• Combining medium and coarse spatial resolution satellite data to improve the estimation of sub-pixel NDVI time series

  2008cited by this paper
• Operational performance of current synthetic aperture radar sensors in mapping soil surface characteristics in agricultural environments: application to hydrological and erosion modelling

  2008cited by this paper
• Remote sensing of spring phenology in boreal regions: A free of snow-effect method using NOAA-AVHRR and SPOT-VGT data (1982-2004)

  2006cited by this paper
• Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers

  2006cited by this paper
• On the blending of the Landsat and MODIS surface reflectance: predicting daily Landsat surface reflectance

  2006cited by this paper
• A crop phenology detection method using time-series MODIS data

  2005cited by this paper
• Cropland distributions from temporal unmixing of MODIS data

  2004cited by this paper
• Spectral linear mixing model in low spatial resolution image data

  2004cited by this paper
• Unmixing-based multisensor multiresolution image fusion

  1999cited by this paper
• Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System.

  1999cited by this paper
• Unmixing the directional reflectances of AVHRR sub-pixel landcovers

  1997cited by this paper
• Predicting Crop Reflectances Using Satellite Data Observing Mixed Pixels

  1997cited by this paper
• Unmixing multiple land-cover type reflectances from coarse spatial resolution satellite data

  1995cited by this paper
• Linear mixing and the estimation of ground cover proportions

  1993cited by this paper
• Characteristics of maximum-value composite images from temporal AVHRR data

  1986cited by this paper
• Editorial Manager(tm) for Remote Sensing of Environment Manuscript Draft Title: Determination of Phenological Dates in Boreal Regions Using Normalized Difference Water Index Determination of Phenological Dates in Boreal Regions Using Normalized Difference Water Index

  year unknowncited by this paper

• Spectral indices in remote sensing of soil: definition, popularity, and issues. A critical overview

  2025cites this paper
• Farm-scale mapping of compost and digestate spreadings from Sentinel-2 and Sentinel-1

  2025cites this paper
• Cross-scalar analysis of multisensor land surface phenology

  2025cites this paper
• Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning

  2024cites this paper
• Phenological and Biophysical Mediterranean Orchard Assessment Using Ground-Based Methods and Sentinel 2 Data

  2024cites this paper
• Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V

  2024cites this paper
• Crop Phenology Modelling Using Proximal and Satellite Sensor Data

  2023cites this paper
• Sentinel-2 satellite images for monitoring cattle slurry and digestate spreading on emerging wheat crop: a field spectroscopy experiment

  2023cites this paper