Mapping City-Scale Cotton Fields Based on Sentinel-2 and Landsat-9 Data-Reference-Cited by-同舟云学术

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Mapping City-Scale Cotton Fields Based on Sentinel-2 and Landsat-9 Data

Published:2023-07-25 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
language:
Short-container-title:

Author:

Zhao Yongyan¹,Lei Xu²,Zhao Jinling³

Affiliation:

1. Anhui University,School of Integrated Circuits,Hefei,China

2. Anhui University,School of Electronics and Information Engineering,Hefei,China

3. Anhui University,National United Engineering Research Center for Analysis and Application of Agro-Ecological Big Data,Hefei,China

Funder

Natural Science Foundation of Anhui Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233256/10233125/10233551.pdf?arnumber=10233551

Reference20 articles.

1. Integrating OGC Web Processing Service with cloud computing environment for Earth Observation data

2. CyberConnector: a service-oriented system for automatically tailoring multisource Earth observation data to feed Earth science models

3. Progress and Trends in the Application of Google Earth and Google Earth Engine

4. Improvement Of In-season Crop Mapping For Illinois Cropland Using Multiple Machine Learning Classifiers

5. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3

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