Remote detection of canopy leaf nitrogen concentration in winter wheat by using water resistance vegetation indices from in-situ hyperspectral data

By Wei Feng, Haiyan Zhang, Yuan-Shuai Zhang, Shuang-Li Qi, Ya-Rong Heng, Bin-Bin Guo, Dongyun Ma, T. Guo. 2016

65 citations recorded by the source corpus.

Subfields: Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/36e814c0adcbbb9882b42c2999fff1b244357864

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Pierre Defourny
2. Marie Weiss

In Plant Science

1. C. Delloye
2. Pierre Defourny
3. Marie Weiss

Citations in the corpus

• Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems (2018, methodology): “Two main approaches were developed to estimate the N content from reflective optical measurements: (i) direct methods that relate surface reflectance to the N status, generally through the use of vegetation indices (Haboudane et al., 2002; Wang et al., 2012; Clevers and Gitelson, 2013; Li et al., 20”