NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region-Reference-Cited by-同舟云学术

NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region

Published:2024-05-27 Issue:1 Volume:61 Page:
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Ayari Emna¹²^ORCID,Kassouk Zeineb²,Lili-Chabaane Zohra²,Ouaadi Nadia³,Baghdadi Nicolas⁴,Zribi Mehrez¹

Affiliation:

1. CNES/CNRS/INRAE/IRD/UT3-Paul Sabatier, CESBI O, Université de Toulouse, Toulouse, France

2. InteGRatEd Management of Natural Resources: remoTE Sensing, Spatial Analysis and Modeling (GREEN-TEAM), Carthage University, National Agronomic Institute of Tunisia, Tunis, Tunisia

3. GMME/SURFACE, Meteo-France/CNRM-CNRS, Toulouse, France

4. CIRAD, CNRS, INRAE, TETIS, University of Montpellier, AgroParisTech, CEDEX 5, Montpellier, France

Funder

European Space Agency Climate Change Initiative for Soil Moisture

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2024.2357878

Reference116 articles.

1. Estimating soil moisture using remote sensing data: A machine learning approach

2. Time-Series of Sentinel-1 Interferometric Coherence and Backscatter for Crop-Type Mapping

3. Optimization of the environmental performance of rainfed durum wheat by adjusting the management practices

4. Evaluation of Multiorbital SAR and Multisensor Optical Data for Empirical Estimation of Rapeseed Biophysical Parameters

5. Improving the Accuracy of Multiple Algorithms for Crop Classification by Integrating Sentinel-1 Observations with Sentinel-2 Data

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