Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 18, Pages 3104
Publisher
MDPI AG
Online
2020-09-22
DOI
10.3390/rs12183104
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
- (2019) Pham Hoa et al. Remote Sensing
- Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models
- (2019) X.Q. Xu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- An Improved Gradient Boosting Regression Tree Estimation Model for Soil Heavy Metal (Arsenic) Pollution Monitoring Using Hyperspectral Remote Sensing
- (2019) Lifei Wei et al. Applied Sciences-Basel
- Performance Comparison of Machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data
- (2019) Wang et al. Remote Sensing
- The functional characterization of grass- and shrubland ecosystems using hyperspectral remote sensing: trends, accuracy and moderating variables
- (2018) Elisa Van Cleemput et al. REMOTE SENSING OF ENVIRONMENT
- Retrieval of the canopy chlorophyll content from Sentinel-2 spectral bands to estimate nitrogen uptake in intensive winter wheat cropping systems
- (2018) Cindy Delloye et al. REMOTE SENSING OF ENVIRONMENT
- Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
- (2018) Sasan Vafaei et al. Remote Sensing
- UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
- (2018) Lei Deng et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Remote Sensing of Leaf and Canopy Nitrogen Status in Winter Wheat (Triticum aestivum L.) Based on N-PROSAIL Model
- (2018) Zhenhai Li et al. Remote Sensing
- Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance
- (2017) Jia Sun et al. Remote Sensing
- Evaluating chlorophyll density in winter oilseed rape ( Brassica napus L.) using canopy hyperspectral red-edge parameters
- (2016) Lantao Li et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spatial variability of chlorophyll and nitrogen content of rice from hyperspectral imagery
- (2016) Shreedevi Moharana et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review
- (2015) Jochem Verrelst et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM+, and MODIS vegetation indices in crop biomass estimation
- (2015) Michael Marshall et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimation of foliar chlorophyll and nitrogen content in an ombrotrophic bog from hyperspectral data: Scaling from leaf to image
- (2015) M. Kalacska et al. REMOTE SENSING OF ENVIRONMENT
- Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
- (2014) F.E. Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System
- (2014) Bo Liu et al. SENSORS
- Retrieval of Vegetation Biophysical Parameters Using Gaussian Process Techniques
- (2011) J. Verrelst et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance
- (2011) Shalei Song et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimating biophysical parameters of rice with remote sensing data using support vector machines
- (2011) XiaoHua Yang et al. Science China-Life Sciences
- Assessing newly developed and published vegetation indices for estimating rice leaf nitrogen concentration with ground- and space-based hyperspectral reflectance
- (2010) Y.C. Tian et al. FIELD CROPS RESEARCH
- Estimating chlorophyll content of crops from hyperspectral data using a normalized area over reflectance curve (NAOC)
- (2010) Jesús Delegido et al. International Journal of Applied Earth Observation and Geoinformation
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND 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
- Deriving leaf chlorophyll content of green-leafy vegetables from hyperspectral reflectance
- (2008) Lihong Xue et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started