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Machine learning techniques for accessing the chlorophyll content and fluorescence in maize based on UAV multispectral sensor. [PDF]

BMC Plant Biol
Parida PK, Eagan S, Parida NK, Patil SG, Jena NK, Singh M, Ramanujam K, Sengodan R, Uthandi S, Ramasamy SRS.   +9 more
europepmc   +1 more source

Synergistic active and passive remote sensing with multi-feature optimization for winter wheat identification in oasis agriculture of Arid Desert Regions. [PDF]

PLoS One
Cao L, Yuan J, Zhu S, Tu Z, Hou X, Zhao D, Xu S, Pei Z, Chen X.   +8 more
europepmc   +1 more source

UAV Multispectral Remote Sensing for Rice Leaf Blast Severity Grading Using an Improved 1DCNN-Transformer Ensemble Model. [PDF]

Plants (Basel)
Liang X, Song Q, Lian H, Pang B, Zhang H, Guo F, Zang Y, Cao Y.   +7 more
europepmc   +1 more source

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Shortcomings of the normalized difference vegetation index as an exposure metric

Nature Plants, 2022
The health benefits of exposure to trees and plants is a rapidly expanding field of study. Research has shown that exposure is associated with improvements in a wide range of health outcomes including cardiovascular disease, birth outcomes, respiratory disease, cancer, mental health and all-cause mortality1.
Geoffrey H. Donovan, Demetrios Gatziolis, Monika Derrien, Yvonne L. Michael, Jeffrey P. Prestemon, Jeroen Douwes   +5 more
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THE NORMALIZED DIFFERENCE VEGETATION INDEX AS AN INDICATOR OF DYNAMICS

GEOLINKS Conference Proceedings, 2021
Mediterranean ecosystems are considered particularly sensitive to climate change. Any change in climatic factors affects the structure and functioning of these ecosystems and has an influence on plant productivity. The main objective of this work is to characterize one of the Mediterranean ecosystems; the Chettaba forest massif (located in the North ...
Haddad Amar, Beldjazia Amina, Kadi Zahia, Redjaimia Lilia, Rached-Kanouni Malika   +4 more
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Why Normalized Difference Vegetation Index (NDVI)?

2022
Plants play a very important role in ecological systems -- they transform CO2 into oxygen. It is therefore very important to be able to estimate the overall amount of live green vegetation in a given area. The most efficient way to provide such a global analysis is to use remote sensing, i.e., multi-spectral photos taken from satellites, drones, planes,
Zapata, Francisco, Smith, Eric, Kreinovich, Vladik, Phuong, Nguyen Hoang   +3 more
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Temporal influences on normalized difference vegetation index

Proceedings of SPIE, 2008
Normalized difference vegetation index (NDVI) is defined as a ratio of the difference of the infrared and red bands to the sum of the two bands. It can be estimated directly from satellite data, and has been widely used in numerous environmental studies. Yet the satellite-based NDVI was criticized for its variations with temporal factors (e.g.
Yuanbo Liu, Yousuke Noumi
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Trend of normalized difference vegetation index (NDVI) over Turkey

Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 2018
Ecosystem productivity, biome distribution, and forest carbon stocks are likely to be changed by the climate change. These ecosystems changes can be identified using Satellite based normalized difference vegetation index (NDVI). In this study, global inventory modeling and mapping studies (GIMMS) NDVI data acquired by the advanced very highresolution ...
Hadi, Sinan Jasim, Tombul, Mustafa, Althuwaynee, Omar F.   +2 more
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Forecasting of the normalized difference vegetation index time series in Jbeniana

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2018
This paper deals with the study of the vegetation cover variation through the Normalized Difference Vegetation Index (NDVI) in the area of Jbeniana (Sfax, Tunisia). For this purpose, we use the images given by Sentinel-2. This allows us to present the time series of NDVI.
Marwa Hachicha 0002, Mahdi Louati, Abdelaziz Kallel   +2 more
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Analysis of the dynamics of African vegetation using the normalized difference vegetation index

International Journal of Remote Sensing, 1986
Images at a resolution of 8 km are currently being generated for the whole of Africa, displaying the normalized difference vegetation index (NDVI). These images have undergone a process of temporal compositing to reduce the effects of cloud cover and atmospheric variation.
J. R. G. TOWNSHEND, C. O. JUSTICE
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