Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging
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Title
Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging
Authors
Keywords
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Journal
Remote Sensing
Volume 13, Issue 9, Pages 1748
Publisher
MDPI AG
Online
2021-04-30
DOI
10.3390/rs13091748
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Note: Only part of the references are listed.- Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
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- Machine learning methods’ performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest
- (2020) Abebe Mohammed Ali et al. International Journal of Digital Earth
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- Hyperspectral Imaging in Environmental Monitoring: A Review of Recent Developments and Technological Advances in Compact Field Deployable Systems
- (2019) Stuart et al. SENSORS
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- (2019) Yasmin Vanbrabant et al. Remote Sensing
- Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth
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- (2019) Bing Lu et al. Remote Sensing
- Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data
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- Estimation of Nitrogen Nutrition Status in Winter Wheat From Unmanned Aerial Vehicle Based Multi-Angular Multispectral Imagery
- (2019) Ning Lu et al. Frontiers in Plant Science
- Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data
- (2019) Abebe Mohammed Ali et al. International Journal of Applied Earth Observation and Geoinformation
- Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
- (2018) Peter P.J. Roosjen et al. International Journal of Applied Earth Observation and Geoinformation
- A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
- (2018) Rasmus Houborg et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods
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- A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera
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- Global Fractional Vegetation Cover Estimation Algorithm for VIIRS Reflectance Data Based on Machine Learning Methods
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- A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle
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- Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
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- Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters From Remote Sensing Data
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- Use of a SPAD-502 meter to measure leaf chlorophyll concentration in Arabidopsis thaliana
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- Accuracy assessment of fraction of vegetation cover and leaf area index estimates from pragmatic methods in a cropland area
- (2009) A. Verger et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
- (2008) Roshanak Darvishzadeh et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Extension of Latin hypercube samples with correlated variables
- (2007) C.J. Sallaberry et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
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