Arnon Karnieli
Ecology · 2001–2020
A researcher in the Science corpus: 12 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 73 citations into it; #6,265 of 10,717 by trust here, #4,599 by citations
- Plant Science — 64 citations into it; #6,571 of 8,232 by trust here, #3,980 by citations
- Environmental Engineering — 34 citations into it
- Analytical Chemistry — 28 citations into it
- Artificial Intelligence — 12 citations into it
- Control and Systems Engineering — 7 citations into it
- Ecological Modeling — 7 citations into it
- Media Technology — 7 citations into it
Whom Arnon Karnieli trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Anatoly A. Gitelson
- Giles M. Foody
- Ittai Herrmann
- Xin-jun Peng
- Scott V. Ollinger
- H. T. Nguyen
- B. G
- Daniel Rodríguez
Who trusts Arnon Karnieli overall
Papers from Arnon Karnieli's perspective
Ordered by how strongly the researchers Arnon Karnieli trusts endorse each paper. Same corpus, a different order for every researcher.
- A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
- Retrieval of leaf area index in different vegetation types using high resolution satellite data
- Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
- Wide Dynamic Range Vegetation Index for remote quantification of biophysical characteristics of vegetation. (Journal of plant physiology)
- Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass
- Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. (American-Eurasian journal of botany)
- Hyperspectral remote sensing of plant pigments. (Journal of Experimental Botany)
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
- Monitoring Maize (Zea mays L.) Phenology with Remote Sensing
- A Simple Spectral Index Using Reflectance of 735 nm to Assess Nitrogen Status of Rice Canopy
Their papers
- A within-season approach for detecting early growth stages in corn and soybean using high temporal and spatial resolution imagery (2020) — 123 citations
- Assessment of maize yield and phenology by drone-mounted superspectral camera (2019) — 98 citations
- Evaluating calibration methods for predicting soil available nutrients using hyperspectral VNIR data (2018) — 68 citations
- An Improved Mono-Window Algorithm for Land Surface Temperature Retrieval from Landsat 8 Thermal Infrared Sensor Data (2015) — 416 citations
- Combining leaf physiology, hyperspectral imaging and partial least squares-regression (PLS-R) for grapevine water status assessment (2015) — 146 citations
- Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm (2014) — 401 citations
- Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm (2014) — 160 citations
- Field spectroscopy for weed detection in wheat and chickpea fields (2013) — 69 citations
- Ground-level hyperspectral imagery for detecting weeds in wheat fields (2013) — 78 citations
- LAI assessment of wheat and potato crops by VENμS and Sentinel-2 bands (2011) — 269 citations
- SWIR-based spectral indices for assessing nitrogen content in potato fields (2010) — 189 citations
- Absorption of sunlight by dust as inferred from satellite and ground‐based remote sensing (2001) — 344 citations