A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy-Reference-Cited by-同舟云学术

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A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy

Published:2023-11 Issue: Volume:155 Page:110911
ISSN:1470-160X
Container-title:Ecological Indicators
language:en
Short-container-title:Ecological Indicators

Author:

Verrelst Jochem,Halabuk Andrej,Atzberger Clement,Hank Tobias,Steinhauser Stefanie,Berger Katja

Publisher

Elsevier BV

Subject

Ecology,Ecology, Evolution, Behavior and Systematics,General Decision Sciences

Reference186 articles.

1. Reflectances from Four Wheat Residue Cover Densities as Influenced by Three Soil Backgrounds;Aase;Agron. J.,1991

2. Mapping invasive species and spectral mixture relationships with neotropical woody formations in southeastern brazil;Amaral;ISPRS J. Photogrammetry Remote Sens.,2015

3. Prototyping sentinel-2 green lai and brown lai products for cropland monitoring;Amin;Remote Sens. Environ.,2021

4. Evaluation of soil erosion protective cover by crop residues using vegetation indices and spectral mixture analysis of multispectral and hyperspectral data;Arsenault;Catena,2005

5. Biophysical and Biochemical Sources of Variability in Canopy Reflectance;Asner;Remote Sens. Environ.,1998

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1. Spaceborne Spectral Characterization Of Non-Photosynthetic Vegetation Cover;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Introducing the Potential of the New Enmap-Box Hybrid Retrieval Workflow for Quantifying Non-Photosynthetic Vegetation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity;Environmental Research Letters;2024-07-01

4. Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues;Precision Agriculture;2024-06-27

5. Effect of shade on simultaneous estimation of non-photosynthetic and photosynthetic vegetation cover using the NDVI-NSSI normalized difference triangular space;International Journal of Remote Sensing;2024-05-14

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