An orchard mapping index and mapping algorithm coupling orchard phenology and green-holding characteristics from time-series sentinel-2 images-Reference-Cited by-同舟云学术

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An orchard mapping index and mapping algorithm coupling orchard phenology and green-holding characteristics from time-series sentinel-2 images

Published:2024-11 Issue: Volume:226 Page:109437
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Chen Riqiang,Yang Hao,Liu Wenping,Liu Miao,Qi Ning,Feng Haikuan,Zhang Chengjian,Xu Haifeng,Yang Guijun^ORCID

Funder

National Natural Science Foundation of China

Jiangsu University

Anhui University

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference52 articles.

1. Comparison of machine-learning and CASA models for predicting apple fruit yields from time-series planet imageries;Bai;Remote Sens.,2021

2. Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany;Blickensdörfer;Remote Sens. Environ.,2022

3. Dynamic world, near real-time global 10 m land use land cover mapping;Brown;Sci. Data,2022

4. Mapping fruit tree dynamics using phenological metrics from optimal Sentinel-2 data and Deep Neural Network;Chabalala;CABI Agric. Biosci.,2023

5. Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning;Chen;Comput. Electron. Agric.,2022

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