Estimation of global leaf area index and absorbed par using radiative transfer models

被引:768
|
作者
Myneni, RB [1 ]
Nemani, RR [1 ]
Running, SW [1 ]
机构
[1] UNIV MONTANA,SCH FORESTRY,MISSOULA,MT 59812
来源
基金
美国国家航空航天局;
关键词
EOS; FPAR; LAI; MISR; MODIS; radiative transfer; remote sensing;
D O I
10.1109/36.649788
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A simple method for the estimation of global leaf area index (LAI) and fraction of photosynthetically active radiation absorbed by the vegetation (FAPAR) from atmospherically corrected Normalized Difference Vegetation Index (NDVI) observations is described. Recent improvements to our three dimensional radiative transfer model of a vegetated surface are described. Example simulation results and a validation exercise are discussed, The model was utilized to derive land cover specific NDVI-LAI and NDVI-FAPAR relations. The method therefore requires stratification of global vegetation into cover types that are compatible with the radiative transfer model. Such a classification based on vegetation structure is proposed and a simple method for its derivation is presented, Proof-of-concept results are given to illustrate the feasibility of the proposed method.
引用
收藏
页码:1380 / 1393
页数:14
相关论文
共 50 条
  • [31] Comparison of the hybrid of radiative transfer model and machine learning methods in leaf area index of grassland mapping
    Qin, Gexia
    Wu, Jing
    Li, Chunbin
    Meng, Zhiyuan
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (04) : 2757 - 2773
  • [32] Comparison of Absorbed and Intercepted Fractions of PAR for Individual Trees Based on Radiative Transfer Model Simulations
    Wojnowski, Wojciech
    Wei, Shanshan
    Li, Wenjuan
    Yin, Tiangang
    Li, Xian-Xiang
    Ow, Genevieve Lai Fern
    Mohd Yusof, Mohamed Lokman
    Whittle, Andrew J.
    [J]. REMOTE SENSING, 2021, 13 (06)
  • [33] Leaf area index estimation in maize and soybean using UAV LiDAR data
    Luo, Shezhou
    Liu, Weiwei
    Ren, Qian
    Wei, Hanquan
    Wang, Cheng
    Xi, Xiaohuan
    Nie, Sheng
    Li, Dong
    Ma, Dan
    Zhou, Guoqing
    [J]. PRECISION AGRICULTURE, 2024, 25 (04) : 1915 - 1932
  • [34] Estimation of leaf area index in understory deciduous trees using digital photography
    Chianucci, Francesco
    Cutini, Andrea
    Corona, Piermaria
    Puletti, Nicola
    [J]. AGRICULTURAL AND FOREST METEOROLOGY, 2014, 198 : 259 - 264
  • [35] LEAF AREA INDEX ESTIMATION OF EUCALYPTUS PLANTATION USING THREE ALTERNATIVE METHODOLOGIES
    Cantinho, Roberta Zecchini
    Ponzoni, Flavio Jorge
    dos Santos, Sandra Benfica
    [J]. CERNE, 2014, 20 (03) : 485 - 492
  • [36] ESTIMATION OF CROP LEAF AREA INDEX USING MODIS DIRECTIONAL REFLECTANCES DATA
    Liu, Yang
    Liu, Ronggao
    Liu, Siliang
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 1533 - 1536
  • [37] Accurate leaf area index estimation in sorghum using high-resolution UAV data and machine learning models
    Tunca, Emre
    Koksal, Eyuep Selim
    Ozturk, Elif
    Akay, Hasan
    Taner, Sakine letin
    [J]. PHYSICS AND CHEMISTRY OF THE EARTH, 2024, 133
  • [38] Improved sugarcane LAI estimation using radiative transfer models with spatial constraint
    Yang, Yingpin
    Huang, Qiting
    Luo, Jiancheng
    Wu, Wei
    Sun, Yingwei
    [J]. 2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2019,
  • [39] MODELS FOR ESTIMATING LEAF AREA INDEX OF DIFFERENT CROPS USING HYPERSPECTRAL DATA
    Dong, Heng
    Qin, Qiming
    You, Lin
    Sui, Xinxin
    Li, Jun
    Jiang, Hongbo
    Wang, Jinliang
    Feng, Haixia
    Sun, Hongmei
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3283 - 3286
  • [40] ESTIMATION OF LEAF AREA INDEX FROM VIIRS SURFACE REFLECTANCE BASED ON DEEP TRANSFER LEARNING
    Li, Juan
    Xiao, Zhiqiang
    Tang, Hong
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 7156 - 7159