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。Regional detection of multiple change points and workable application for precipitation by maximum likelihood approach
Qianfeng Wang et al.
ARABIAN JOURNAL OF GEOSCIENCES (2019)
An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes
Jinling Quan et al.
REMOTE SENSING OF ENVIRONMENT (2018)
A robust adaptive spatial and temporal image fusion model for complex land surface changes
Yongquan Zhao et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Spatio-temporal fusion for daily Sentinel-2 images
Qunming Wang et al.
REMOTE SENSING OF ENVIRONMENT (2018)
An Enhanced Linear Spatio-Temporal Fusion Method for Blending Landsat and MODIS Data to Synthesize Landsat-Like Imagery
Bo Ping et al.
REMOTE SENSING (2018)
Combining Linear Pixel Unmixing and STARFM for Spatiotemporal Fusion of Gaofen-1 Wide Field of View Imagery and MODIS Imagery
Jintian Cui et al.
REMOTE SENSING (2018)
Spatial-temporal evolution of vegetation evapotranspiration in Hebei Province, China
Wang Qian-feng et al.
JOURNAL OF INTEGRATIVE AGRICULTURE (2018)
The effects of air temperature and precipitation on the net primary productivity in China during the early 21st century
Qianfeng Wang et al.
FRONTIERS OF EARTH SCIENCE (2018)
A comprehensively quantitative method of evaluating the impact of drought on crop yield using daily multi-scale SPEI and crop growth process model
Qianfeng Wang et al.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2017)
A hierarchical spatiotemporal adaptive fusion model using one image pair
Bin Chen et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2017)
Fusion of Landsat 8 OLI and Sentinel-2 MSI Data
Qunming Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method
Qing Cheng et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)
A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
Jie Xue et al.
REMOTE SENSING (2017)
A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis
Jing Wang et al.
REMOTE SENSING (2017)
Spatio-Temporal Series Remote Sensing Image Prediction Based on Multi-Dictionary Bayesian Fusion
Chu He et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)
Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data
Monidipa Das et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery
Mingquan Wu et al.
INFORMATION FUSION (2016)
A flexible spatiotemporal method for fusing satellite images with different resolutions
Xiaolin Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2016)
An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions
Dengfeng Xie et al.
SENSORS (2016)
An ESTARFM Fusion Framework for the Generation of Large-Scale Time Series in Cloud-Prone and Heterogeneous Landscapes
Kim Knauer et al.
REMOTE SENSING (2016)
Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature
Penghai Wu et al.
REMOTE SENSING OF ENVIRONMENT (2015)
Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data
Xiaoyang Zhang
REMOTE SENSING OF ENVIRONMENT (2015)
Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery
Peijuan Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Spatio-temporal reflectance fusion via unmixing: accounting for both phenological and land-cover changes
Bo Huang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Temporal-spatial characteristics of severe drought events and their impact on agriculture on a global scale
Qianfeng Wang et al.
QUATERNARY INTERNATIONAL (2014)
Landsat-8: Science and product vision for terrestrial global change research
D. P. Roy et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
Qihao Weng et al.
REMOTE SENSING OF ENVIRONMENT (2014)
Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
Huihui Song et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2013)
Assessing the accuracy of blending Landsat-MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
Irina V. Emelyanova et al.
REMOTE SENSING OF ENVIRONMENT (2013)
An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data
Wei Zhang et al.
REMOTE SENSING (2013)
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges
John R. Townshend et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2012)
Evaluation of Landsat and MODIS data fusion products for analysis of dryland forest phenology
J. J. Walker et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Improved classification of conservation tillage adoption using high temporal and synthetic satellite imagery
Jennifer D. Watts et al.
REMOTE SENSING OF ENVIRONMENT (2011)
An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Xiaolin Zhu et al.
REMOTE SENSING OF ENVIRONMENT (2010)
On the blending of the Landsat and MODIS surface reflectance: Predicting daily Landsat surface reflectance
Feng Gao et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2006)
Image quality assessment: From error visibility to structural similarity
Z Wang et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)
Monitoring vegetation phenology using MODIS
XY Zhang et al.
REMOTE SENSING OF ENVIRONMENT (2003)
分享论文
