John R. Miller

Ecology · 2001–2019

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Ecology — 27 citations into it; #8,731 of 10,717 by trust here, #2,597 by citations
• Plant Science — 23 citations into it
• Environmental Engineering — 11 citations into it; #4,870 of 5,479 by trust here, #1,082 by citations

Whom John R. Miller trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Stephane Jacquemoud

Who trusts John R. Miller overall

1. George Alan Blackburn
2. Jochem Verrelst
3. Chaoyang Wu

Papers from John R. Miller's perspective

Ordered by how strongly the researchers John R. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

1. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
2. Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer
3. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
4. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements
5. Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data (IEEE Transactions on Geoscience and Remote Sensing)
6. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. (Journal of Experimental Botany)
7. Responses of forest trees to single and multiple environmental stresses from seedlings to mature plants: Past stress history, stress interactions, tolerance and acclimation
8. Fluspect-B: a model for leaf fluorescence, reflectance and transmittance spectra.
9. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks (Biogeosciences)
10. OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence (Science)

Their papers

• Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (2019) — 616 citations
• Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data (2008) — 314 citations
• Scaling-up and model inversion methods with narrowband optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data (2001) — 744 citations