Crop Monitoring Based on SPOT-5 Take-5 and Sentinel-1A Data for the Estimation of Crop Water Requirements

Optical and microwave images have been combined for land cover monitoring in different agriculture scenarios, providing useful information on qualitative and quantitative land cover changes. This study aims to assess the complementarity and interoperability of optical (SPOT-5 Take-5) and synthetic aperture radar (SAR) (Sentinel-1A) data for crop parameter (basal crop coefficient (Kcb) values and the length of the crop’s development stages) retrieval and crop type classification, with a focus on crop water requirements, for an irrigation perimeter in Angola. SPOT-5 Take-5 images are used as a proxy of Sentinel-2 data to evaluate the potential of their enhanced temporal resolution for agricultural applications. In situ data are also used to complement the Earth Observation (EO) data. The Normalized Difference Vegetation Index (NDVI) and dual (VV + VH) polarization backscattering time series are used to compute the Kcb curve for four crop types (maize, soybean, bean and pasture) and to estimate the length of each phenological growth stage. The Kcb values are then used to compute the crop’s evapotranspiration and to subsequently estimate the crop irrigation requirements based on a soil water balance model. A significant R2 correlation between NDVI and backscatter time series was observed for all crops, demonstrating that optical data can be replaced by microwave data in the presence of cloud cover. However, it was not possible to properly identify each stage of the crop cycle due to the lack of EO data for the complete growing season.

• Publication year

  2016

• Venue

  Remote Sensing

• Publication date

  2016-06-22

• Fields of study

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

• Identifiers
  DOI 10.3390/RS8060525
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Irrigation management with remote sensing: Evaluating irrigation requirement for maize under Mediterranean climate condition

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  2016cited by this paper
• Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine

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• Remote Sens

  2015cited by this paper
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  2015cited by this paper
• Satellite-based irrigation advisory services: A common tool for different experiences from Europe to Australia

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  2015cited by this paper
• Land Cover and Crop Type Classification along the Season Based on Biophysical Variables Retrieved from Multi-Sensor High-Resolution Time Series

  2015cited by this paper
• Efficiency assessment of using satellite data for crop area estimation in Ukraine

  2014cited by this paper
• Crop Water Requirements

  2013cited by this paper
• Efficiency Assessment of Different Approaches to Crop Classification Based on Satellite and Ground Observations

  2012cited by this paper
• Multiple Classifier System for Remote Sensing Image Classification: A Review

  2012cited by this paper
• Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points

  2012cited by this paper
• LIBSVM: A library for support vector machines

  2011cited by this paper
• The Influence of Different Methods of Interpolating Spatial Meteorological Data on Calculated Irrigation Requirements

  2011cited by this paper
• Multitemporal Observations of Sugarcane by TerraSAR-X Images

  2010cited by this paper
• Earth Observation products for operational irrigation management in the context of the PLEIADeS project

  2010influential reference
• Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories

  2009cited by this paper
• A Practical Guide to Support Vector Classification

  2009cited by this paper
• IrrigRotation, a time continuous soil water balance model.

  2008cited by this paper
• Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Applications

  2007cited by this paper
• Chapter 8. Water Requirements

  2007cited by this paper
• Operational Space‐Assisted Irrigation Advisory Services: Overview Of And Lessons Learned From The Project DEMETER

  2006cited by this paper
• Operative Approaches To Determine Crop Water Requirements From Earth Observation Data: Methodologies And Applications

  2006cited by this paper
• Efficiency of crop identification based on optical and SAR image time series

  2005cited by this paper
• Integration of optical and radar classifications for mapping pasture type in Western Australia

  2005cited by this paper
• Irrigation management from space: Towards user-friendly products

  2005cited by this paper
• FAO-56 Dual Crop Coefficient Method for Estimating Evaporation from Soil and Application Extensions

  2005cited by this paper
• Probability Estimates for Multi-class Classification by Pairwise Coupling

  2003cited by this paper
• Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops

  2003cited by this paper
• Remote Sensing in Hydrology and Water Management

  2001cited by this paper
• Land cover discrimination from multitemporal ERS images and multispectral Landsat images: A study case in an agricultural area in France

  2000cited by this paper
• Crop evapotranspiration : guidelines for computing crop water requirements

  1998influential reference
• A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation

  1998cited by this paper
• Growth stages of mono- and dicotyledonous plants

  1997cited by this paper
• Multidate SAR/TM synergism for crop classification in western Canada

  1995cited by this paper
• Development of reflectance-based crop coefficients for corn

  1990cited by this paper
• Remote Sensing Digital Image Analysis

  1986cited by this paper
• Learning internal representations by error propagation

  1986cited by this paper
• Learning Internal Representations by Error Propagation, Parallel Distributed Processing

  1986cited by this paper
• Design and Operation of Farm Irrigation Systems

  1980cited by this paper
• Guidelines for predicting crop water requirements

  1977cited by this paper

• Optimizing water demand in citrus orchards: a novel model using evolutionary algorithms on Sentinel-1 time series data

  2025influential citation
• Advancements in crop mapping through remote sensing: A comprehensive review of concept, data sources, and procedures over four decades

  2025cites this paper
• Advancements in Agricultural Microwave Remote Sensing: An Overview From Indoor to Space-Borne Platforms

  2025cites this paper
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  2025cites this paper
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  2025cites this paper
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  2025cites this paper
• Review of synthetic aperture radar with deep learning in agricultural applications

  2024cites this paper
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  2024cites this paper
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  2023cites this paper
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  2023cites this paper
• Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework

  2023cites this paper
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  2023cites this paper
• Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series

  2023cites this paper
• Crop Water Stress Detection Using Remote Sensing Techniques

  2023cites this paper
• A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications

  2022cites this paper
• Growth and yield monitoring of potato crop using Sentinel-1 data through cloud computing

  2022cites this paper
• Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

  2022cites this paper
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  2022cites this paper
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  2022cites this paper
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  2021cites this paper
• Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models - Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops

  2021cites this paper
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  2021cites this paper
• Comparison of Long Short-Term Memory Networks and Random Forest for Sentinel-1 Time Series Based Large Scale Crop Classification

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• Survey on Machine Learning and Deep Learning Techniques for Agriculture Land

  2021cites this paper
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  2021cites this paper
• Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development

  2021cites this paper
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  2021cites this paper
• Do high-resolution satellite indices at field level reduce basis risk of satellite-based weather index insurance?

  2021cites this paper
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  2021cites this paper
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  2021cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2020cites this paper
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  2018cites this paper
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  2018cites this paper
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  2017cites this paper
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  2017cites this paper
• Mapping Winter Wheat with Multi-Temporal SAR and Optical Images in an Urban Agricultural Region

  2017influential citation
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  2017cites this paper
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