World's Best Scientists 2026 revealed!
Roshanak Darvishzadeh

Roshanak Darvishzadeh

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
7223
World Ranking
5872
National Ranking
151

Overview

Roshanak Darvishzadeh is affiliated with the University of Twente in the Netherlands and has a research focus grounded in Environmental Science and Agricultural and Biological Sciences. Their work spans several subfields including Ecology, Plant Science, Global and Planetary Change, Environmental Engineering, and Ecological Modeling.

The scientist has contributed extensively to topics such as Remote Sensing in Agriculture, Species Distribution and Climate Change, Remote Sensing and LiDAR Applications, Leaf Properties and Growth Measurement, Land Use and Ecosystem Services, Spectroscopy and Chemometric Analyses, and Remote Sensing and Land Use.

Recent publications by Roshanak Darvishzadeh include:

  • Priority list of biodiversity metrics to observe from space, 2021, Nature Ecology & Evolution
  • Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review, 2022, Remote Sensing of Environment
  • Thermal infrared remote sensing of vegetation: Current status and perspectives, 2021, International Journal of Applied Earth Observation and Geoinformation
  • Understanding wheat lodging using multi-temporal Sentinel-1 and Sentinel-2 data, 2020, Remote Sensing of Environment
  • Cropping Patterns of Annual Crops: A Remote Sensing Review, 2022, Remote Sensing

Frequent co-authors collaborating with Roshanak Darvishzadeh include:

  • Andrew K. Skidmore
  • Andrew Nelson
  • Marco Heurich
  • Elnaz Neinavaz
  • Tiejun Wang

Roshanak Darvishzadeh has published regularly in several scientific journals, most notably:

  • Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • Nature Ecology & Evolution
  • Remote Sensing of Environment
  • Agricultural and Forest Meteorology

Best Publications

  • Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

  • LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements

    Roshanak Darvishzadeh;Andrew Skidmore;Martin Schlerf;Clement Atzberger

  • Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

    Unknown

  • Mapping grassland leaf area index with airborne hyperspectral imagery : a comparison study of statistical approaches and inversion of radiative transfer models

    Roshanak Darvishzadeh;Clement Atzberger;Andrew Skidmore;Martin Schlerf

  • Priority list of biodiversity metrics to observe from space.

    Andrew K. Skidmore;Andrew K. Skidmore;Nicholas C. Coops;Elnaz Neinavaz;Abebe Ali

  • Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island

    Anton Vrieling;Michele Meroni;Roshanak Darvishzadeh;Andrew K. Skidmore;Andrew K. Skidmore

  • Estimation of vegetation LAI from hyperspectral reflectance data : Effects of soil type and plant architecture

    Roshanak Darvishzadeh;Andrew K. Skidmore;Clement Atzberger;Sipke E. van Wieren

  • Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

    Clement Atzberger;Roshanak Darvishzadeh;Markus Immitzer;Martin Schlerf

  • Sentinel-2 accurately maps green-attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat-8

    Haidi Abdullah;Andrew K. Skidmore;Andrew K. Skidmore;Roshanak Darvishzadeh;Marco Heurich;Marco Heurich

  • Leaf Area Index derivation from hyperspectral vegetation indices and the red edge position

    R. Darvishzadeh;C. Atzberger;A. K. Skidmore;A. A. Abkar

  • Simple and robust methods for remote sensing of canopy chlorophyll content: a comparative analysis of hyperspectral data for different types of vegetation.

    Yoshio Inoue;Martine Guérif;Frédéric Baret;Andrew Skidmore

  • Machine learning using hyperspectral data inaccurately predicts plant traits under spatial dependency

    Alby D. Rocha;Thomas A. Groen;Andrew K. Skidmore;Roshanak Darvishzadeh

  • European spruce bark beetle (Ips typographus, L.) green attack affects foliar reflectance and biochemical properties

    Haidi Abdullah;Haidi Abdullah;Roshanak Darvishzadeh;Andrew K. Skidmore;Andrew K. Skidmore;Thomas A. Groen

  • Inversion of a Radiative Transfer Model for Estimation of Rice Canopy Chlorophyll Content Using a Lookup-Table Approach

    Roshanak Darvishzadeh;Ali A. Matkan;Abdolhamid Dashti Ahangar

  • Remote sensing-based crop lodging assessment: Current status and perspectives

    Sugandh Chauhan;Roshanak Darvishzadeh;Mirco Boschetti;Monica Pepe

  • Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model

    Roshanak Darvishzadeh;Tiejun Wang;Andrew K. Skidmore;Anton Vrieling

  • Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

    Roshanak Darvishzadeh;Andrew K. Skidmore;Andrew K. Skidmore;Haidi Abdullah;Elias Cherenet

  • Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements

    M. Mirzaie;Roshanak Darvishzadeh;A. Shakiba;Ali A. Matkan

  • Applicability of the PROSPECT model for estimating protein and cellulose + lignin in fresh leaves

    Zhihui Wang;Zhihui Wang;Andrew K. Skidmore;Tiejun Wang;Roshanak Darvishzadeh

  • Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest

    Abebe Mohammed Ali;Roshanak Darvishzadeh;Andrew K. Skidmore;Iris van Duren

  • Estimating leaf functional traits by inversion of PROSPECT: Assessing leaf dry matter content and specific leaf area in mixed mountainous forest : Assessing leaf dry matter content and specific leaf area in mixed mountainous forest

    Abebe Mohammed Ali;Roshanak Darvishzadeh;Andrew K. Skidmore;Iris van Duren

Frequent Co-Authors

Andrew K. Skidmore
Andrew K. Skidmore University of Twente
Marco Heurich
Marco Heurich University of Freiburg
Tiejun Wang
Tiejun Wang University of Twente
Clement Atzberger
Clement Atzberger BOKU University
Andrew Nelson
Andrew Nelson University of Twente
Martin Schlerf
Martin Schlerf Luxembourg Institute of Science and Technology
Mirco Boschetti
Mirco Boschetti National Academies of Sciences, Engineering, and Medicine
Nirvana Meratnia
Nirvana Meratnia University of Twente
Bart A. Nolet
Bart A. Nolet University of Amsterdam
Paul J.M. Havinga
Paul J.M. Havinga University of Twente

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in expanding their knowledge beyond Environmental Sciences, exploring related online degrees can open up diverse career pathways. Programs like eds to edd bridge programs online provide a practical option for educators seeking advanced leadership roles with flexible study options.

Social work also intersects closely with environmental concerns, particularly in community health and advocacy. Affordable and accessible online dsw programs offer pathways for professionals aiming to deepen their impact in social and environmental justice sectors.

For students considering broader academic exploration, the cheapest online general studies degree programs provide a flexible and budget-friendly way to complement an environmental science background with interdisciplinary skills.

Lastly, those new to higher education or seeking a manageable workload might find value in easiest bachelors degree programs online. These can serve as stepping stones toward environmental careers by building foundational knowledge and confidence in academic settings.

Best Scientists Citing Roshanak Darvishzadeh

Trending Scientists