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。DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation
Tao Lin 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)
Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil
Rai A. Schwalbert et al.
AGRICULTURAL AND FOREST METEOROLOGY (2020)
Deep learning in environmental remote sensing: Achievements and challenges
Qiangqiang Yuan et al.
REMOTE SENSING OF ENVIRONMENT (2020)
Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches
Xinlei Wang et al.
REMOTE SENSING (2020)
Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data
Zhao Zhang et al.
AGRICULTURAL AND FOREST METEOROLOGY (2020)
Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia
Bin Wang et al.
AGRICULTURAL AND FOREST METEOROLOGY (2020)
Reconstruction of time series leaf area index for improving wheat yield estimates at field scales by fusion of Sentinel-2,-3 and MODIS imagery
Xijia Zhou et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
Akash Ashapure et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2020)
First results of all-weather soil moisture retrieval from an optical/thermal infrared remote-sensing-based operational system in China
Pei Leng et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
Identifying crop planting areas using Fourier-transformed feature of time series MODIS leaf area index and sparse-representation-based classification in the North China Plain
Lan Xun et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)
Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles
Bernhard Bauer-Marschallingere et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Deep learning and process understanding for data-driven Earth system science
Markus Reichstein et al.
NATURE (2019)
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Yaping Cai et al.
AGRICULTURAL AND FOREST METEOROLOGY (2019)
Crop yield prediction with deep convolutional neural networks
Petteri Nevavuori et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Maize yield estimation in West Africa from crop process-induced combinations of multi-domain remote sensing indices
Louise Leroux et al.
EUROPEAN JOURNAL OF AGRONOMY (2019)
The SMAP and Copernicus Sentinel 1A/B microwave active-passive high resolution surface soil moisture product
Narendra N. Das et al.
REMOTE SENSING OF ENVIRONMENT (2019)
Methods for interpreting and understanding deep neural networks
Gregoire Montavon et al.
DIGITAL SIGNAL PROCESSING (2018)
Sensitivity analysis of energy inputs in crop production using artificial neural networks
Alireza Khoshroo et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Improving regional winter wheat yield estimation through assimilation of phenology and leaf area index from remote sensing data
Yi Chen et al.
EUROPEAN JOURNAL OF AGRONOMY (2018)
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira et al.
2018 IEEE 14TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE 2018) (2018)
A practical approach for deriving all-weather soil moisture content using combined satellite and meteorological data
Pei Leng et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (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)
Assimilation of the leaf area index and vegetation temperature condition index for winter wheat yield estimation using Landsat imagery and the CERES-Wheat model
Yi Xie et al.
AGRICULTURAL AND FOREST METEOROLOGY (2017)
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
Manuel Campos-Taberner et al.
REMOTE SENSING OF ENVIRONMENT (2016)
Agrometeorological analysis and prediction of wheat yield at the departmental level in France
David Gouache et al.
AGRICULTURAL AND FOREST METEOROLOGY (2015)
Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks
Kyunghyun Cho et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2015)
Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
Douglas K. Bolton et al.
AGRICULTURAL AND FOREST METEOROLOGY (2013)
Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling
Hua Yuan et al.
REMOTE SENSING OF ENVIRONMENT (2011)
A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
I. Becker-Reshef et al.
REMOTE SENSING OF ENVIRONMENT (2010)
Using the vegetation temperature condition index for time series drought occurrence monitoring in the Guanzhong Plain, PR China
W. Sun et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2008)
A simple model of regional wheat yield based on NDVI data
M. Moriondo et al.
EUROPEAN JOURNAL OF AGRONOMY (2007)
Crop yield estimation by satellite remote sensing
C Ferencz et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA
Z Wan et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2004)
Review and comparison of methods to study the contribution of variables in artificial neural network models
M Gevrey et al.
ECOLOGICAL MODELLING (2003)