A data fusion and spatial data analysis approach for the estimation of wheat grain nitrogen uptake from satellite data-Reference-Cited by-同舟云学术

A data fusion and spatial data analysis approach for the estimation of wheat grain nitrogen uptake from satellite data

Published:2016-07-25 Issue:18 Volume:37 Page:4317-4336
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Castaldi Fabio¹,Castrignanò Annamaria²,Casa Raffaele¹

Affiliation:

1. Department of Agriculture Forestry Nature and Energy (DAFNE), Università degli Studi della Tuscia (DPV), Viterbo, Italy

2. Research Unit for Cropping Systems in Dry Environments (SCA), Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria (CREA), Bari, Italy

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1212423

Reference51 articles.

1. Spectral Vegetation Indices as Nondestructive Tools for Determining Durum Wheat Yield

2. Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

3. Non-destructive estimation of wheat leaf chlorophyll content from hyperspectral measurements through analytical model inversion

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