相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。PRISMA Spatial Resolution Enhancement by Fusion With Sentinel-2 Data
Nicola Acito et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)
Combining transfer learning and hyperspectral reflectance analysis to assess leaf nitrogen concentration across different plant species datasets
Liang Wan et al.
REMOTE SENSING OF ENVIRONMENT (2022)
PROSPECT-PRO for estimating content of nitrogen-containing leaf proteins and other carbon-based constituents
Jean-Baptiste Feret et al.
REMOTE SENSING OF ENVIRONMENT (2021)
A random forest model for the classification of wheat and rye leaf rust symptoms based on pure spectra at leaf scale
Andrzej Wojtowicz et al.
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY (2021)
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning
Vasit Sagan et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)
The PRISMA imaging spectroscopy mission: overview and first performance analysis
S. Cogliati et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Geographically and temporally weighted neural network for winter wheat yield prediction
Luwei Feng et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach
Yuchi Ma et al.
REMOTE SENSING OF ENVIRONMENT (2021)
Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models
Guoyong Leng et al.
ENVIRONMENTAL RESEARCH LETTERS (2020)
Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods
Elisa Kamir et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Remote sensing for agricultural applications: A meta-review
M. Weiss et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Bo Li et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
Yumiao Wang et al.
REMOTE SENSING (2020)
Detection and Classification of Non-Photosynthetic Vegetation from PRISMA Hyperspectral Data in Croplands
Monica Pepe et al.
REMOTE SENSING (2020)
Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges
Tobias B. Hank et al.
SURVEYS IN GEOPHYSICS (2019)
Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world
Pierre Defourny et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Earth Observation Imaging Spectroscopy for Terrestrial Systems: An Overview of Its History, Techniques, and Applications of Its Missions
Michael Rast et al.
SURVEYS IN GEOPHYSICS (2019)
Smallholder maize area and yield mapping at national scales with Google Earth Engine
Zhenong Jin et al.
REMOTE SENSING OF ENVIRONMENT (2019)
High resolution wheat yield mapping using Sentinel-2
Merryn L. Hunt et al.
REMOTE SENSING OF ENVIRONMENT (2019)
The Harmonized Landsat and Sentinel-2 surface reflectance data set
Martin Claverie et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Generic Algorithms for Estimating Foliar Pigment Content
Anatoly Gitelson et al.
GEOPHYSICAL RESEARCH LETTERS (2017)
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data
Osval A. Montesinos-Lopez et al.
PLANT METHODS (2017)
The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields
Kaiyu Guan et al.
REMOTE SENSING OF ENVIRONMENT (2017)
Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science
James W. Jones et al.
AGRICULTURAL SYSTEMS (2017)
Analysis of the trade-off between high crop yield and low yield instability at the global scale
Tamara Ben-Ari et al.
ENVIRONMENTAL RESEARCH LETTERS (2016)
A comprehensive assessment of the correlations between field crop yields and commonly used MODIS products
David M. Johnson
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2016)
Random forest in remote sensing: A review of applications and future directions
Mariana Belgiu et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016)
Estimation of biomass in wheat using random forest regression algorithm and remote sensing data
Li'ai Wang et al.
CROP JOURNAL (2016)
Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM plus , and MODIS vegetation indices in crop biomass estimation
Michael Marshall et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2015)
Climate variation explains a third of global crop yield variability
Deepak K. Ray et al.
NATURE COMMUNICATIONS (2015)
Developing in situ Non-Destructive Estimates of Crop Biomass to Address Issues of Scale in Remote Sensing
Michael Marshall et al.
REMOTE SENSING (2015)
Yield estimation using SPOT-VEGETATION products: A case study of wheat in European countries
Wanda Kowalik et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2014)
Biomass Modeling of Four Leading World Crops Using Hyperspectral Narrowbands in Support of HyspIRI Mission
Michael Marshall et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2014)
Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response
A. Casas et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Selection of Hyperspectral Narrowbands (HNBs) and Composition of Hyperspectral Twoband Vegetation Indices (HVIs) for Biophysical Characterization and Discrimination of Crop Types Using Field Reflectance and Hyperion/EO-1 Data
Prasad S. Thenkabail et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2013)
Remote estimation of nitrogen and chlorophyll contents in maize at leaf and canopy levels
M. Schlemmer et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2013)
Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
William James Frampton et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2013)
Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission
Isabella Mariotto et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Opening the archive: How free data has enabled the science and monitoring promise of Landsat
Michael A. Wulder et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
Clement Atzberger et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Mind the gap: how do climate and agricultural management explain the 'yield gap' of croplands around the world?
Rachel Licker et al.
GLOBAL ECOLOGY AND BIOGEOGRAPHY (2010)
A simple method to estimate harvest index in grain crops
Armen R. Kemanian et al.
FIELD CROPS RESEARCH (2007)
Crop yield assessment from remote sensing
PC Doraiswamy et al.
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2003)
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
A Huete et al.
REMOTE SENSING OF ENVIRONMENT (2002)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
NH Broge et al.
REMOTE SENSING OF ENVIRONMENT (2001)
Hyperspectral vegetation indices and their relationships with agricultural crop characteristics
PS Thenkabail et al.
REMOTE SENSING OF ENVIRONMENT (2000)