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Environmental Sciences

D-Index
64
Citations
16608
World Ranking
2300
National Ranking
64

Overview

Massimo Menenti is affiliated with Delft University of Technology in the Netherlands and has a research profile strongly focused on environmental and earth sciences. Their body of work contributes extensively to fields such as Environmental Science and Earth and Planetary Sciences.

Their publication record encompasses a variety of subfields including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology, and Water Science and Technology.

Major topics addressed in Menenti's research include:

  • Remote Sensing in Agriculture
  • Cryospheric studies and observations
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Climate change and permafrost
  • Urban Heat Island Mitigation
  • Land Use and Ecosystem Services

Menenti has published frequently in several scientific venues, among them:

  • Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • Urban Climate
  • International Journal of Digital Earth
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers demonstrate a focus on nature-based solutions, remote sensing methods, and environmental drivers, with notable publications including:

  • Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations (2021), published in The Science of The Total Environment
  • An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards (2021), published in Earth-Science Reviews
  • Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion (2020), published in Remote Sensing of Environment
  • Challenges and Opportunities in Lidar Remote Sensing (2021), published in Frontiers in Remote Sensing
  • Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China (2021), published in Ecological Indicators

Menenti has collaborated frequently with several researchers, including Jia Li, Chaolei Zheng, Min Jiang, Jie Zhou, and Yelong Zeng.

Best Publications

  • A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation

    Wim G.M. Bastiaanssen;M. Menenti;R. A. Feddes;A. A. M. Holtslag

  • S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance

    G.J. Roerink;Zhongbo Su;M. Menenti

  • Reconstructing cloudfree NDVI composites using Fourier analysis of time series

    G.J. Roerink;M. Menenti;W. Verhoef

  • Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points

    Sylvie Soudarissanane;Roderik Lindenbergh;Massimo Menenti;Peter Teunissen

  • Reconstruction of global MODIS NDVI time series: performance of harmonic analysis of time series (HANTS).

    Jie Zhou;Li Jia;Massimo Menenti;Massimo Menenti

  • Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data

    S. Azzali;M. Menenti

  • Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users.

    Alfonso Calera;Isidro Campos;Anna Osann;Guido D'Urso

  • Mapping agroecological zones and time lag in vegetation growth by means of Fourier analysis of time series of NDVI images

    M. Menenti;S. Azzali;W. Verhoef;R. van Swol

  • Assessment of climate impact on vegetation dynamics by using remote sensing

    G.J. Roerink;M. Menenti;W. Soepboer;Zhongbo Su

  • Nature-based solutions efficiency evaluation against natural hazards : Modelling methods, advantages and limitations

    Prashant Kumar;Sisay E. Debele;Jeetendra Sahani;Nidhi Rawat

  • Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011

    Guangcheng Hu;Li Jia;Massimo Menenti

  • A colour composite of NOAA-AVHRR-NDVI based on time series analysis (1981-1992)

    W. Verhoef;M. Menenti;S. Azzali

  • Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements

    Li Jia;Li Jia;Zhongbo Su;Bart van den Hurk;Massimo Menenti

  • An overview of monitoring methods for assessing the performance of nature-based solutions against natural hazards

    Prashant Kumar;Prashant Kumar;Sisay E. Debele;Jeetendra Sahani;Nidhi Rawat

  • ICESat derived elevation changes of Tibetan lakes between 2003 and 2009

    Vu Hien Phan;Roderik C. Lindenbergh;Massimo Menenti

  • Aerosol characteristics and impacts on weather and climate over the Tibetan Plateau.

    Chuanfeng Zhao;Yikun Yang;Hao Fan;Jianping Huang

  • Physical aspects and determination of evaporation in deserts applying remote sensing techniques

    M. Menenti

  • Separation of Ground and Low Vegetation Signatures in LiDAR Measurements of Salt-Marsh Environments

    Cheng Wang;M. Menenti;M.-P. Stoll;A. Feola

  • SkelTre: Robust skeleton extraction from imperfect point clouds

    Alexander Bucksch;Roderik Lindenbergh;Massimo Menenti

  • Aggregation effects of surface heterogeneity in land surface processes

    Zhongbo Su;H. Pelgrum;M. Menenti

  • Comparing thresholding with machine learning classifiers for mapping complex water

    Tsitsi Bangira;Silvia Maria Alfieri;Massimo Menenti;Adriaan van Niekerk

Frequent Co-Authors

Zhongbo Su
Zhongbo Su University of Twente
Yaoming Ma
Yaoming Ma Chinese Academy of Sciences
Jie Zhou
Jie Zhou Delft University of Technology
Wim G.M. Bastiaanssen
Wim G.M. Bastiaanssen Delft University of Technology
José A. Sobrino
José A. Sobrino University of Valencia
Jose Moreno
Jose Moreno University of Valencia
Fabio Maselli
Fabio Maselli National Research Council (CNR)
John R. Miller
John R. Miller York University
Michel M. Verstraete
Michel M. Verstraete University of the Witwatersrand
Michael E. Schaepman
Michael E. Schaepman University of Zurich

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