Training a neural network with a canopy reflectance model to estimate crop leaf area index-Reference-Cited by-同舟云学术

Training a neural network with a canopy reflectance model to estimate crop leaf area index

Published:2003-01 Issue:23 Volume:24 Page:4891-4905
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Danson F. M.¹,Rowland C. S.¹,Baret F.²

Affiliation:

1. a Telford Institute of Environmental Systems, School of Environment and Life Sciences , University of Salford , Manchester M5 4WT, England, UK

2. b Institut National de la Recherche Agronomique , Unité de Bioclimatologie , Site Agroparc, 84914 Avignon, France

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/0143116031000070319

Reference27 articles.

1. Forward and inverse modelling of canopy directional reflectance using a neural network

2. Introduction Neural networks in remote sensing

3. Baret F 1995 Use of spectral reflectance variation to retrieve canopy biophysical characteristics InAdvances in Environmental Remote Sensing, edited by F. M. Danson and S. E. Plummer (Chichester: Wiley), pp. 33–51

4. Potentials and limits of vegetation indices for LAI and APAR assessment

5. The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches

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