Results 21 to 30 of about 1,018,273 (298)

Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability

open access: yesAgronomy, 2022
This study used hyperspectral reflectance data to evaluate the crop physiological parameters of sweet maize. Principal component analysis (PCA) was applied to identify the wavelengths that primarily contributed to each selected PC.
Mohamed Houssemeddine Sellami   +7 more
doaj   +1 more source

Comparison of Winter Wheat Yield Estimation Based on Near-Surface Hyperspectral and UAV Hyperspectral Remote Sensing Data

open access: yesRemote Sensing, 2022
Crop yields are important for food security and people’s living standards, and it is therefore very important to predict the yield in a timely manner.
Haikuan Feng   +6 more
doaj   +1 more source

Exploring the Influencing Factors in Identifying Soil Texture Classes Using Multitemporal Landsat-8 and Sentinel-2 Data

open access: yesRemote Sensing, 2022
Soil texture is a key soil property driving physical, chemical, biological, and hydrological processes in soils. The rapid development of remote sensing techniques shows great potential for mapping soil properties. This study highlights the effectiveness
Yanan Zhou, Wei Wu, Hongbin Liu
doaj   +1 more source

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data

open access: yesSensors, 2020
Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the assessment of crop growth, and are therefore important for agricultural management. Although improvements have been made in the monitoring of crop growth parameters
Huilin Tao   +9 more
doaj   +1 more source

Prediction of Strawberry Dry Biomass from UAV Multispectral Imagery Using Multiple Machine Learning Methods

open access: yesRemote Sensing, 2022
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast, accurate and non-destructive monitoring of biomass enables various applications related to crop growth.
Caiwang Zheng   +3 more
doaj   +1 more source

A novel-optimal monitoring index of rocky desertification based on feature space model and red edge indices that derived from sentinel-2 MSI image

open access: yesGeomatics, Natural Hazards & Risk, 2022
Few studies of monitoring rocky desertification based on Sentinel-2 MSI image with higher spatial and temporal resolutions have been reported. In this paper, nine typical surface parameters that derived from Sentinel-2 MSI image including three red edge ...
Bing Guo   +3 more
doaj   +1 more source

Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages

open access: yesBig Earth Data, 2021
Leaf area index (LAI) and canopy chlorophyll density (CCD) are key indicators of crop growth status. In this study, we compared several vegetation indices and their red-edge modified counterparts to evaluate the optimal red-edge bands and the best ...
Naichen Xing   +6 more
doaj   +1 more source

Aboveground Biomass Mapping of Crops Supported by Improved CASA Model and Sentinel-2 Multispectral Imagery

open access: yesRemote Sensing, 2021
The net primary productivity (NPP) and aboveground biomass mapping of crops based on remote sensing technology are not only conducive to understanding the growth and development of crops but can also be used to monitor timely agricultural information ...
Peng Fang   +4 more
doaj   +1 more source

Study on red edge characteristics of rice spectral caused by nitrogen level

open access: yes浙江大学学报. 农业与生命科学版, 2001
The canopy spectra of rice under different nitrogen levels were studied. Some red edge parameters in the first derivative reflectance curve (wavelength, amplitude and area of the red edge peak) were studied to evaluate rice leaf chlorophyll, LAI etc. Red
WANG Xiu-zheng   +3 more
doaj   +1 more source

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