Ryad Bendoula
Ecology · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 35 citations into it
- Plant Science — 26 citations into it
- Global and Planetary Change — 11 citations into it
- Analytical Chemistry — 8 citations into it
Whom Ryad Bendoula trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ryad Bendoula's perspective
Ordered by how strongly the researchers Ryad Bendoula trusts endorse each paper. Same corpus, a different order for every researcher.
- Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
- Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
- Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves. (Journal of plant physiology)
- A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
- Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3 (International Journal of Applied Earth Observation and Geoinformation)
- A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (International Journal of Applied Earth Observation and Geoinformation)
- Three‐band model for noninvasive estimation of chlorophyll, carotenoids, and anthocyanin contents in higher plant leaves
- Unified Optical-Thermal Four-Stream Radiative Transfer Theory for Homogeneous Vegetation Canopies (IEEE Transactions on Geoscience and Remote Sensing)
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties - A review
- Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
Their papers
- Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping (2017) — 238 citations
- A physically-based model for retrieving foliar biochemistry and leaf orientation using close-range imaging spectroscopy (2016) — 150 citations