1. A Matlab toolbox for Cloud removal of Terra-Aqua MODIS NDSI datasets. 2. A Spatio-Temporal Adaptive fusion method with erroR correction (STAR) for cloud-free MODIS NDSI estimation. 3. Disclaimer: The spatial scope of the dataset is for research convenience. Please refer to official release for a standard map of China, http://211.159.149.56/index.html. 4. In case any questions arise, please do not hesitate to contact us (yhjing@whu.edu.cn)
Space-based observations, emerged in the hydrology field in the last two decades, play a fundamental...
Spatiotemporal fusion of remote sensing data is essential for generating high spatial and temporal r...
In epidemiological modeling, survey data are usually collected at sampling sites and then regionaliz...
Please cite our reference: Jing, Y., Li, X., and Shen, H.: STAR NDSI collection: a cloud-free MODIS...
1. A recent 20-year cloud-free MODIS normalized difference snow index (NDSI) collection for China ...
If you used our dataset, please cite our reference: Jing, Y., Li, X., and Shen, H.: STAR NDSI colle...
The Moderate Resolution Imaging Spectroradiometer (MODIS) provides widespread Aerosol Optical Depth ...
Abstract. Consistent Normalized Difference of Vegetation Index (NDVI) time series, as paramount and ...
Land surface temperature (LST) is a vital parameter associated with the land–atmosphere interface. T...
This paper reports on the processing of time series of MODIS NDVI/EVI and LST satellite data in a Ge...
Spatio-temporal fusion of MODIS and Landsat data aims to produce new data that have simultaneously t...
The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites conduc...
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODI...
The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites conduc...
Reconstructed 250 m spatial resolution and 16-day composite NDVI and EVI datasets in China from 2000...
Space-based observations, emerged in the hydrology field in the last two decades, play a fundamental...
Spatiotemporal fusion of remote sensing data is essential for generating high spatial and temporal r...
In epidemiological modeling, survey data are usually collected at sampling sites and then regionaliz...
Please cite our reference: Jing, Y., Li, X., and Shen, H.: STAR NDSI collection: a cloud-free MODIS...
1. A recent 20-year cloud-free MODIS normalized difference snow index (NDSI) collection for China ...
If you used our dataset, please cite our reference: Jing, Y., Li, X., and Shen, H.: STAR NDSI colle...
The Moderate Resolution Imaging Spectroradiometer (MODIS) provides widespread Aerosol Optical Depth ...
Abstract. Consistent Normalized Difference of Vegetation Index (NDVI) time series, as paramount and ...
Land surface temperature (LST) is a vital parameter associated with the land–atmosphere interface. T...
This paper reports on the processing of time series of MODIS NDVI/EVI and LST satellite data in a Ge...
Spatio-temporal fusion of MODIS and Landsat data aims to produce new data that have simultaneously t...
The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites conduc...
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODI...
The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites conduc...
Reconstructed 250 m spatial resolution and 16-day composite NDVI and EVI datasets in China from 2000...
Space-based observations, emerged in the hydrology field in the last two decades, play a fundamental...
Spatiotemporal fusion of remote sensing data is essential for generating high spatial and temporal r...
In epidemiological modeling, survey data are usually collected at sampling sites and then regionaliz...