Bodo Mistele

Plant Science · 2011–2016

A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 47 citations into it; #5,753 of 8,232 by trust here, #4,762 by citations
• Ecology — 43 citations into it; #7,640 of 10,717 by trust here, #5,945 by citations
• Environmental Engineering — 19 citations into it
• Analytical Chemistry — 10 citations into it

Whom Bodo Mistele trusts overall

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

1. R. V. Rossel
2. Scott V. Ollinger
3. H. T. Nguyen
4. H. Jones
5. Prasad S. Thenkabail
6. L. Serrano
7. Moses Azong Cho

Who trusts Bodo Mistele overall

1. Achim Walter
2. Hai-ying Liu
3. David Deery

Papers from Bodo Mistele's perspective

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

1. Remote sensing of nitrogen and lignin in Mediterranean vegetation from AVIRIS data: Decomposing biochemical from structural signals
2. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
3. Diagnosis tool for plant and crop N status in vegetative stage Theory and practices for crop N management
4. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
5. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
6. Remote Estimation of Crop Chlorophyll Content Using Spectral Indices Derived From Hyperspectral Data (IEEE Transactions on Geoscience and Remote Sensing)
7. High throughput phenotyping of canopy water mass and canopy temperature in well-watered and drought stressed tropical maize hybrids in the vegetative stage
8. Synchronizing N Supply from Soil and Fertilizer and N Demand of Winter Wheat by an Improved Nmin Method (Nutrient Cycling in Agroecosystems)
9. Field-based phenomics for plant genetics research
10. Spectral water indices for assessing yield in elite bread wheat genotypes under well-irrigated, water-stressed, and high-temperature conditions

Their papers

• Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley (2016) — 147 citations
• Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression (2014) — 220 citations
• High-throughput phenotyping early plant vigour of winter wheat (2014) — 130 citations
• High throughput phenotyping of canopy water mass and canopy temperature in well-watered and drought stressed tropical maize hybrids in the vegetative stage (2011) — 110 citations