Z. Malenovsky

Ecology · 2006–2020

A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 152 citations into it
• Global and Planetary Change — 96 citations into it
• Plant Science — 82 citations into it
• Environmental Engineering — 67 citations into it
• Ecological Modeling — 30 citations into it
• Nature and Landscape Conservation — 28 citations into it
• Analytical Chemistry — 20 citations into it
• Atmospheric Science — 19 citations into it

Whom Z. Malenovsky trusts overall

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

1. Cédric Bacour
2. W. Verhoef
3. J. Gastellu‐Etchegorry
4. Anatoly A. Gitelson
5. Shunlin Liang
6. Tomas Brandtberg
7. Guerric le Maire
8. Stephane Jacquemoud
9. Michele Meroni
10. D. Sims

Who trusts Z. Malenovsky overall

1. Valerie C. E. Laurent
2. Jochem Verrelst
3. Jean-Baptiste F'eret
4. Katja Berger

Papers from Z. Malenovsky's perspective

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

1. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
2. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
3. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
4. Leaf level detection of solar induced chlorophyll fluorescence by means of a subnanometer resolution spectroradiometer
5. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
6. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
7. A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling (International Journal of Applied Earth Observation and Geoinformation)
8. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
9. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
10. Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶ (Photochemistry and Photobiology)

Their papers

• PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents (2020) — 263 citations
• Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. (2019) — 616 citations
• Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods (2018) — 462 citations
• Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds (2016) — 685 citations
• Discrete Anisotropic Radiative Transfer (DART 5) for Modeling Airborne and Satellite Spectroradiometer and LIDAR Acquisitions of Natural and Urban Landscapes (2015) — 321 citations
• Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer (2013) — 179 citations
• Review of optical-based remote sensing for plant trait mapping (2013) — 427 citations
• Applicability of the PROSPECT model for Norway spruce needles (2006) — 137 citations