Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
出版年份 2018 全文链接
标题
Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
作者
关键词
-
出版物
Remote Sensing
Volume 10, Issue 4, Pages 527
出版商
MDPI AG
发表日期
2018-03-30
DOI
10.3390/rs10040527
参考文献
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。- Spatiotemporal Satellite Image Fusion Using Deep Convolutional Neural Networks
- (2018) Huihui Song et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation
- (2018) Xin Tao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An Integrated Spatio-Spectral–Temporal Sparse Representation Method for Fusing Remote-Sensing Images With Different Resolutions
- (2018) Chongyue Zhao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An integrated model for generating hourly Landsat-like land surface temperatures over heterogeneous landscapes
- (2018) Jinling Quan et al. REMOTE SENSING OF ENVIRONMENT
- Spatio-temporal fusion for daily Sentinel-2 images
- (2018) Qunming Wang et al. REMOTE SENSING OF ENVIRONMENT
- Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review
- (2018) K.J. Lees et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Downscaling of Surface Soil Moisture Retrieval by Combining MODIS/Landsat and In Situ Measurements
- (2018) Chenyang Xu et al. Remote Sensing
- Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA
- (2017) Stephen P. Boyte et al. GIScience & Remote Sensing
- Enhancing Spatio-Temporal Fusion of MODIS and Landsat Data by Incorporating 250 m MODIS Data
- (2017) Qunming Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Fusion of Landsat 8 OLI and Sentinel-2 MSI Data
- (2017) Qunming Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatiotemporal Fusion of MODIS and Landsat-7 Reflectance Images via Compressed Sensing
- (2017) Jingbo Wei et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Spatial and Temporal Nonlocal Filter-Based Data Fusion Method
- (2017) Qing Cheng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimating Fractional Vegetation Cover From Landsat-7 ETM+ Reflectance Data Based on a Coupled Radiative Transfer and Crop Growth Model
- (2017) Xiaoxia Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An Object-Based Linear Weight Assignment Fusion Scheme to Improve Classification Accuracy Using Landsat and MODIS Data at the Decision Level
- (2017) Xudong Guan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Fusion of satellite, aircraft, and UAV data for automatic disaster damage assessment
- (2017) Mohammad Kakooei et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Multi-source remotely sensed data fusion for improving land cover classification
- (2017) Bin Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Disaggregation of remotely sensed land surface temperature: A simple yet flexible index (SIFI) to assess method performances
- (2017) Lun Gao et al. REMOTE SENSING OF ENVIRONMENT
- Development and evaluation of a lookup-table-based approach to data fusion for seasonal wetlands monitoring: An integrated use of AMSR series, MODIS, and Landsat
- (2017) Hiroki Mizuochi et al. REMOTE SENSING OF ENVIRONMENT
- Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps
- (2017) Xiaodong Li et al. REMOTE SENSING OF ENVIRONMENT
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
- (2017) Feng Gao et al. REMOTE SENSING OF ENVIRONMENT
- A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions
- (2017) Chunhua Liao et al. Remote Sensing
- A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
- (2017) Jie Xue et al. Remote Sensing
- A Rigorously-Weighted Spatiotemporal Fusion Model with Uncertainty Analysis
- (2017) et al. Remote Sensing
- High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data
- (2017) Le Li et al. Remote Sensing
- Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods
- (2016) Michael D. Johnson et al. AGRICULTURAL AND FOREST METEOROLOGY
- Response of vegetation phenology to urbanization in the conterminous United States
- (2016) Xuecao Li et al. GLOBAL CHANGE BIOLOGY
- Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology
- (2016) Qiang Liu et al. GLOBAL CHANGE BIOLOGY
- Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine
- (2016) Xun Liu et al. IEEE Geoscience and Remote Sensing Letters
- An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images
- (2016) Huanfeng Shen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Spatio-Temporal Enhancement Method for medium resolution LAI (STEM-LAI)
- (2016) Rasmus Houborg et al. International Journal of Applied Earth Observation and Geoinformation
- Monitoring forest disturbances in Southeast Oklahoma using Landsat and MODIS images
- (2016) Trung V. Tran et al. International Journal of Applied Earth Observation and Geoinformation
- Improving spatiotemporal reflectance fusion using image inpainting and steering kernel regression techniques
- (2016) Bo Wu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- The benefit of synthetically generated RapidEye and Landsat 8 data fusion time series for riparian forest disturbance monitoring
- (2016) Philipp Gärtner et al. REMOTE SENSING OF ENVIRONMENT
- Land cover change detection by integrating object-based data blending model of Landsat and MODIS
- (2016) Miao Lu et al. REMOTE SENSING OF ENVIRONMENT
- A flexible spatiotemporal method for fusing satellite images with different resolutions
- (2016) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- A note on the temporary misregistration of Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multi Spectral Instrument (MSI) imagery
- (2016) James Storey et al. REMOTE SENSING OF ENVIRONMENT
- An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions
- (2016) Dengfeng Xie et al. SENSORS
- Crop Phenology Detection Using High Spatio-Temporal Resolution Data Fused from SPOT5 and MODIS Products
- (2016) Yang Zheng et al. SENSORS
- A logistic-based method for rice monitoring from multitemporal MODIS-Landsat fusion data
- (2016) Nguyen-Thanh Son et al. European Journal of Remote Sensing
- Bayesian Method for Building Frequent Landsat-Like NDVI Datasets by Integrating MODIS and Landsat NDVI
- (2016) Limin Liao et al. Remote Sensing
- Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series
- (2016) Fanjie Kong et al. Remote Sensing
- Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches
- (2016) Yinghai Ke et al. Remote Sensing
- Spatiotemporal Fusion of Remote Sensing Images with Structural Sparsity and Semi-Coupled Dictionary Learning
- (2016) Jingbo Wei et al. Remote Sensing
- High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model
- (2015) Mingquan Wu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spatial and Temporal Image Fusion via Regularized Spatial Unmixing
- (2015) Yong Xu et al. IEEE Geoscience and Remote Sensing Letters
- Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives
- (2015) J. Malleswara Rao et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An Error-Bound-Regularized Sparse Coding for Spatiotemporal Reflectance Fusion
- (2015) Bo Wu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A generalization of spatial and temporal fusion methods for remotely sensed surface parameters
- (2015) Hankui K. Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images
- (2015) Khaled Hazaymeh et al. Journal of Applied Remote Sensing
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature
- (2015) Penghai Wu et al. REMOTE SENSING OF ENVIRONMENT
- A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature
- (2015) Vahid Moosavi et al. REMOTE SENSING OF ENVIRONMENT
- Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery
- (2015) Cornelius Senf et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion
- (2015) Caroline M. Gevaert et al. REMOTE SENSING OF ENVIRONMENT
- Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data
- (2015) Mingquan Wu et al. SENSORS
- Towards a standardized Rapid Ecosystem Function Assessment (REFA)
- (2015) Sebastian T. Meyer et al. TRENDS IN ECOLOGY & EVOLUTION
- Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland Biomass Estimation
- (2015) Binghua Zhang et al. Remote Sensing
- An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images
- (2015) Yuhan Rao et al. Remote Sensing
- Comparison of Spatiotemporal Fusion Models: A Review
- (2015) Bin Chen et al. Remote Sensing
- Fusing Landsat and MODIS Data for Vegetation Monitoring
- (2015) Feng Gao et al. IEEE Geoscience and Remote Sensing Magazine
- Deep Learning-Based Classification of Hyperspectral Data
- (2014) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Operational Data Fusion Framework for Building Frequent Landsat-Like Imagery
- (2014) Peijuan Wang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Fast spatiotemporal data fusion: merging LISS III with AWiFS sensor data
- (2014) C.V. Rao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Blending MODIS and Landsat images for urban flood mapping
- (2014) Fang Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution
- (2014) Nishan Bhattarai et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Satellite remote sensing for applied ecologists: opportunities and challenges
- (2014) Nathalie Pettorelli et al. JOURNAL OF APPLIED ECOLOGY
- Dryland vegetation phenology across an elevation gradient in Arizona, USA, investigated with fused MODIS and Landsat data
- (2014) J.J. Walker et al. REMOTE SENSING OF ENVIRONMENT
- Generating daily land surface temperature at Landsat resolution by fusing Landsat and MODIS data
- (2014) Qihao Weng et al. REMOTE SENSING OF ENVIRONMENT
- Generating High Spatiotemporal Resolution Land Surface Temperature for Urban Heat Island Monitoring
- (2013) Bo Huang et al. IEEE Geoscience and Remote Sensing Letters
- Multitemporal fusion of Landsat/TM and ENVISAT/MERIS for crop monitoring
- (2013) Julia Amorós-López et al. International Journal of Applied Earth Observation and Geoinformation
- A spatial and temporal reflectance fusion model considering sensor observation differences
- (2013) Huanfeng Shen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm selection
- (2013) Irina V. Emelyanova et al. REMOTE SENSING OF ENVIRONMENT
- Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method
- (2013) Aihua Li et al. REMOTE SENSING OF ENVIRONMENT
- Unified fusion of remote-sensing imagery: generating simultaneously high-resolution synthetic spatial–temporal–spectral earth observations
- (2013) Bo Huang et al. Remote Sensing Letters
- An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data
- (2013) Wei Zhang et al. Remote Sensing
- An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model
- (2013) Dongjie Fu et al. Remote Sensing
- Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats
- (2012) Harini Nagendra et al. ECOLOGICAL INDICATORS
- The use of satellite data for crop yield gap analysis
- (2012) David B. Lobell FIELD CROPS RESEARCH
- Spatiotemporal Reflectance Fusion via Sparse Representation
- (2012) Bo Huang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
- (2012) Huihui Song et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model
- (2012) Zheng Niu Journal of Applied Remote Sensing
- Closing yield gaps through nutrient and water management
- (2012) Nathaniel D. Mueller et al. NATURE
- Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
- (2012) Annemarie Schneider REMOTE SENSING OF ENVIRONMENT
- A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images
- (2012) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Remote estimation of gross primary productivity in crops using MODIS 250m data
- (2012) Yi Peng et al. REMOTE SENSING OF ENVIRONMENT
- Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau
- (2011) Miaogen Shen et al. AGRICULTURAL AND FOREST METEOROLOGY
- Satellite-based ET estimation in agriculture using SEBAL and METRIC
- (2011) Richard Allen et al. HYDROLOGICAL PROCESSES
- Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation
- (2011) Jihua Meng et al. International Journal of Digital Earth
- Solutions for a cultivated planet
- (2011) Jonathan A. Foley et al. NATURE
- Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain
- (2011) Taehee Hwang et al. REMOTE SENSING OF ENVIRONMENT
- Generation and evaluation of gross primary productivity using Landsat data through blending with MODIS data
- (2010) Devendra Singh International Journal of Applied Earth Observation and Geoinformation
- An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
- (2010) Xiaolin Zhu et al. REMOTE SENSING OF ENVIRONMENT
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
- (2009) Thomas Hilker et al. REMOTE SENSING OF ENVIRONMENT
- Unmixing-Based Landsat TM and MERIS FR Data Fusion
- (2008) R. Zurita-Milla et al. IEEE Geoscience and Remote Sensing Letters
- Multi-temporal MODIS–Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data
- (2008) David P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally
- (2007) Junchang Ju et al. REMOTE SENSING OF ENVIRONMENT
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started