Dense NDVI Time Series by Fusion of Optical and SAR-Derived Data-Reference-Cited by-同舟云学术

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Dense NDVI Time Series by Fusion of Optical and SAR-Derived Data

Published:2024 Issue: Volume:17 Page:7748-7758
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Roßberg Thomas¹^ORCID,Schmitt Michael¹^ORCID

Affiliation:

1. Department of Aerospace Engineering, University of the Bundeswehr Munich, Neubiberg, Germany

Funder

German Federal Ministry for Economic Affairs and Climate Action

Dense Satellite Time Series for Agricultural Monitoring

University of the Bundeswehr Munich

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4609443/10330207/10476648.pdf?arnumber=10476648

Reference42 articles.

1. Monitoring vegetation systems in the great plains with ERTS;Rouse,1974

2. Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

3. Satellite-based multi-annual yield models for major food crops at the household field level for nutrition and health research: A case study from the Nouna HDSS, Burkina Faso

4. A fusion approach to forest disturbance mapping using time series ensemble techniques

5. High-quality vegetation index product generation: A review of NDVI time series reconstruction techniques

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