数字农科院2.0

Estimation of crop leaf area index based on Sentinel-2 images and PROSAIL-Transformer coupling model

文献类型： 外文期刊

作者： Tianjiao Liu;Si Bo Duan;Niantang Liu;Baoan Wei;Juntao Yang;Jiankui Chen;Li Zhang

作者机构：

关键词： Leaf area index;PROSAIL-Transformer coupling model;Sentinel-2;Spectral feature combinations

期刊名称： Computers and Electronics in Agriculture

ISSN： 0168-1699

年卷期： 2024 年 227 卷

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： Accurate estimation of leaf area index (LAI) is hindered by challenges in capturing crop-specific spectral variability and integrating complex model-data relationships. To address these issues, this study proposes a novel framework based on Sentinel-2 images, coupling the PROSAIL physical model with a Transformer-based deep learning model. This framework incorporates three key features contributing to its effectiveness. Firstly, Sentinel-2 reflectance was generated using the PROSAIL model and refined through sample matching to ensure optimal alignment with Sentinel-2 imagery specific to each crop type. Secondly, the Maximum Information Coefficient (MIC) and Recursive Feature Elimination (RFE) were employed to identify the most relevant spectral feature combinations for different crop categories. Thirdly, a PROSAIL-Transformer coupling model was constructed based on selected feature combinations to generate accurate Sentinel-2 LAI products. To validate the proposed approach, field crop LAI measurements were collected at five plots within the study area. Quantitative assessments demonstrate a coefficient of determination (R2) of 0.87, root mean square error (RMSE) of 0.48, and mean absolute error (MAE) of 0.36. The proposed framework enables the production of time-series LAI maps at fine resolution, facilitating dynamic crop monitoring and management in areas of high spatial heterogeneity.

分类号：

  • 相关文献

[1]基于时序Sentinel-2影像的梨树县作物种植结构. 刘俊伟,陈鹏飞,张东彦,赵红伟. 2020

[2]基于无人机与卫星遥感的草原地上生物量反演研究. 李淑贞,徐大伟,范凯凯,陈金强,佟旭泽,辛晓平,王旭. 2022

[3]基于多时相遥感植被指数的柑橘果园识别. 梁晨欣,黄启厅,王思,王聪,余强毅,吴文斌. 2021

[4]Sentinel-2宽波段光谱指数预测拔节后受冻冬小麦减产率. 赵爱萍,马浚诚,武永峰,胡新,任德超,李崇瑞. 2022

[5]东北三省2020-2022年间10 m空间分辨率耕地资源空间分布数据集. 申格,刘航,李丹丹,陈实,邹金秋. 2023

[6]多源中高分辨率影像协同下时间合成窗口对农作物识别的影响. 童婉婷,魏浩东,杨靖雅,金文捷,宋茜,胡琼,尹高飞,徐保东. 2024

[7]基于作物参考曲线法的冬小麦NDVI时间序列重建——以河北省部分区域为例. 敖洋钎,王永前,孙政,孙亮. 2025

[8]农田玉米秸秆覆盖类型的光学和微波遥感识别潜力分析. 张文茜,李文娟,余强毅,唐华俊,王聪,吴文斌. 2025

[9]Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework. Jingwen Wang,Raul Lopez-Lozano,Marie Weiss,Samuel Buis,Wenjuan Li,Shouyang Liu,Frédéric Baret,Jiahua Zhang. 2022

[10]Automated soybean mapping based on canopy water content and chlorophyll content using Sentinel-2 images. Huang, Yingze,Qiu, Bingwen,Chen, Chongcheng,Zhu, Xiaolin,Wu, Wenbin,Jiang, Fanchen,Lin, Duoduo,Peng, Yufeng. 2022

[11]Crop type mapping with temporal sample migration. Zhang, Shibo,Yang, Jingya,Leng, Pei,Ma, Yuman,Wang, Hongyang,Song, Qian. 2023

[12]Detection of Soil Erosion Hotspots in the Croplands of a Typical Black Soil Region in Northeast China: Insights from Sentinel-2 Multispectral Remote Sensing. Lulu Qi,Pu Shi,Klara Dvorakova,Kristof Van Oost,Qi Sun,Hanqing Yu,Bas van Wesemael. 2023

[13]Crop Mapping Based on Temporal and Spatial Sample Migrations: A Case Study Over Three Counties in Heilongjiang Province, Northeast China. Zuo, Hao-Nan,Leng, Pei,Li, Yu-Xuan,Song, Qian,Li, Zhao-Liang. 2024

[14]In-Season Crop Type Detection by Combing Sentinel-1A and Sentinel-2 Imagery Based on the CNN Model. Mao, Mingxiang,Zhao, Hongwei,Tang, Gula,Ren, Jianqiang. 2023

[15]Estimating Fraction of Absorbed Photosynthetically Active Radiation of Winter Wheat Based on Simulated Sentinel-2 Data under Different Varieties and Water Stress. Sun Z.,Sun L.,Liu Y.,Li Y.,Crusiol L.G.T.,Chen R.,Wuyun D.. 2024

[16]Cross-scale mapping of above-ground biomass and shrub dominance by integrating UAV and satellite data in temperate grassland. Ang Chen,Cong Xu,Min Zhang,Jian Guo,Xiaoyu Xing,Dong Yang,Bin Xu,Xiuchun Yang. 2024

[17]A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery. Lingling Fan,Lang Xia,Jing Yang,Xiao Sun,Shangrong Wu,Bingwen Qiu,Jin Chen,Wenbin Wu,Peng Yang. 2024

[18]Retrieval of chromium and mercury concentrations in agricultural soils: Using spectral information, environmental covariates, or a fusion of both?. Li Wang,Yong Zhou,Xiao Sun,Shangrong Wu,Lang Xia,Jing Sun,Yan Zha,Peng Yang. 2024

[19]Accurate mapping of rapeseed fields in the initial flowering stage using Sentinel-2 satellite images and convolutional neural networks. Sun Y.,Hao Z.,Chang H.,Yang J.,Ding G.,Guo Z.,He X.,Huang J.. 2024

[20]Evaluating the consistency between Sentinel-2 and Planet constellations at field scale: illustration over winter wheat. Ma, Yuman,Li, Wenjuan,Wang, Jingwen,Liu, Shouyang,Dong, Mingxia,Shi, Zhongchao. 2025

作者其他论文 更多>>