Results 171 to 180 of about 7,084 (203)

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash   +6 more
wiley   +1 more source

Deep Spatially Varying Coefficient Model for Interpolation of Non‐Stationary Meteorological Data

open access: yesEnvironmetrics, Volume 37, Issue 6, September 2026.
ABSTRACT In spatial statistics, the spatially varying coefficient model (SVCM) is widely applied in the analysis and interpolation of non‐stationary spatial data. By incorporating spatially varying coefficients, the model can capture spatial heterogeneity and provide an attractive interpretation of response‐covariate associations.
Tong Wu, Nan Chen, Zhi‐Sheng Ye
wiley   +1 more source

MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland

open access: yesMODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland
openaire  

Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change [PDF]

open access: yesForests, 2021
Remote sensing has frequently been employed to monitor extreme climatic events, especially droughts, by identifying the anomalies of vegetation activity from the regional to global scale. However, limited research has addressed the performance of remote sensing on detecting extreme precipitation events.
Yi Zhou, Fengsong Pei
exaly   +2 more sources
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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   +3 more
openaire   +1 more source

The Normalized Difference Vegetation Index (NDVI): unforeseen successes in animal ecology [PDF]

open access: yesClimate Research, 2011
This review highlights the latest developments associated with the use of the Normal- ized Difference Vegetation Index (NDVI) in ecology. Over the last decade, the NDVI has proven extremely useful in predicting herbivore and non-herbivore distribution, abundance and life history traits in space and time.
Thomas Mueller   +2 more
exaly   +2 more sources

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   +2 more
openaire   +1 more source

Spatiotemporal variability and predictability of Normalized Difference Vegetation Index (NDVI) in Alberta, Canada

International Journal of Biometeorology, 2016
As one of the most popular vegetation indices to monitor terrestrial vegetation productivity, Normalized Difference Vegetation Index (NDVI) has been widely used to study the plant growth and vegetation productivity around the world, especially the dynamic response of vegetation to climate change in terms of precipitation and temperature. Alberta is the
Rengui, Jiang   +5 more
openaire   +2 more sources

Relative sensitivity of normalized difference vegetation Index (NDVI) and microwave polarization difference Index (MPDI) for vegetation and desertification monitoring

Remote Sensing of Environment, 1988
A simple equation relating the Microwave Polarization Difference Index (MPDI) and the Normalized Difference Vegetation Index (NDVI) is proposed which represents well data obtained from Nimbus 7/SMMR at 37 GHz and NOAA/AVHRR Channels 1 and 2. It is found that there is a limit which is characteristic of a particular type of cover for which both indices ...
Francois Becker, Bhaskar J Choudhury
openaire   +1 more source

Predicting the Normalized Difference Vegetation Index (NDVI) by training a crop growth model with historical data

Computers and Electronics in Agriculture, 2019
Abstract Normalized Difference Vegetation Index (NDVI) is an important remote measurement in agriculture because it has a high correlation with crop growth and yield result. In this paper, we present a methodology to predict the NDVI by training a crop growth model with historical data.
Pablo Rodríguez-Bocca, Andres G Berger
exaly   +2 more sources

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