Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index-Reference-Cited by-同舟云学术

Retrieval of biophysical vegetation parameters using simultaneous inversion of high resolution remote sensing imagery constrained by a vegetation index

Published:2013-05-05 Issue:5 Volume:14 Page:541-557
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Berjón A. J.,Cachorro V. E.,Zarco-Tejada P. J.,de Frutos A.

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

http://link.springer.com/content/pdf/10.1007/s11119-013-9315-8.pdf

Reference58 articles.

1. Allen, W. A., Gausman, H. W., Richardson, A. J., & Thomas, J. R. (1969). Interaction of isotropic light with a compact leaf. Journal of the Optical Society of America, 59, 1376–1379.

2. Allen, W. A., Gayle, T. V., & Richardson, A. J. (1970). Plant-canopy irradiance specified by the Duntley equations. Journal of the Optical Society of America, 60, 372–376.

3. Aparicio, N., Villegas, D., Casadesus, J., Araus, J., & Royo, C. (2000). Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agronomy Journal, 92, 83–91.

4. Atzberger, C. (2004). Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models. Remote Sensing of Environment, 93, 53–67.

5. Bacour, C., Jacquemoud, S., Leroy, M., Hautecoeur, O., Weiss, M., Prévot, L., et al. (2002). Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data. Agronomie, 22, 555–565.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SSolar-GOA v1.0: a simple, fast, and accurate Spectral SOLAR radiative transfer model for clear skies;Geoscientific Model Development;2022-02-25

2. Estimation of daily CO2 fluxes and of the components of the carbon budget for winter wheat by the assimilation of Sentinel 2-like remote sensing data into a crop model;Geoderma;2020-10

3. Using Image Texture and Spectral Reflectance Analysis to Detect Yellowness and Esca in Grapevines at Leaf-Level;Remote Sensing;2018-04-18

4. Estimating maize biomass and yield over large areas using high spatial and temporal resolution Sentinel-2 like remote sensing data;Remote Sensing of Environment;2016-10

5. Remote Sensing of Grass Response to Drought Stress Using Spectroscopic Techniques and Canopy Reflectance Model Inversion;Remote Sensing;2016-07-01