Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network

Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network

[Objective]Sunlight-induced chlorophyll fluorescence (SIF) data obtained from satellites suffer from issues such as low spatial and temporal resolution, and discrete footprint because of the limitations imposed by satellite orbits. To address these problems, obtaining higher resolution SIF data, mos...

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Bibliographic Details
Main Authors: YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei
Format: Article
Language:English
Published: Editorial Office of Smart Agriculture 2024-09-01
Series:智慧农业
Subjects:
spaceborne sif data
modis data
bp neural networks
soybean sif resconstruction
Online Access:https://www.smartag.net.cn/CN/rich_html/10.12133/j.smartag.SA202309006
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