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An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions
Abstract Due to technical and budget limitations, remote sensing instruments trade spatial resolution and swath width. As a result not one sensor provides both high spatial resolution and highExpand
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter
Abstract Although the Normalized Difference Vegetation Index (NDVI) time-series data, derived from NOAA/AVHRR, SPOT/VEGETATION, TERRA or AQUA/MODIS, has been successfully used in research regardingExpand
Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over 6600 scenes of Landsat TMExpand
A flexible spatiotemporal method for fusing satellite images with different resolutions
A new spatiotemporal data fusion method that uses simple principles and needs only one fine-resolution image as input has the potential to increase the availability of high-resolution time-series data that can support studies of rapid land surface dynamics. Expand
A simple and effective method for filling gaps in Landsat ETM+ SLC-off images
A simple and effective method to interpolate the values of the pixels within the gaps, known as the Neighborhood Similar Pixel Interpolator (NSPI), which indicates that gap-filled products generated by NSPI will have relevance to the user community for various land cover applications. Expand
Quantifying the cool island intensity of urban parks using ASTER and IKONOS data
Urban parks can help mitigate urban heat island (UHI) effects and decrease cooling energy consumption in summer. However, it is unclear how park characteristics affect the formation of a park coolExpand
Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction
Abstract The normalized difference vegetation index (NDVI) is the most widely used vegetation index for retrieval of vegetation canopy biophysical properties. Several studies have investigated theExpand
A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data
A support vector machine (SVM)-based region-growing algorithm to semi-automatically extract urban areas from DMSP-OLS and SPOT NDVI data and shows that the SVM-based algorithm could not only achieve comparable results to the local-optimized threshold method, but also avoid its tedious trial-and-error procedure. Expand
Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau
a b s t r a c t Spatial variations in phenological responses to temperature have not been reported for grasslands of the Qinghai-Tibetan Plateau. Using satellite-derived normalized differenceExpand
Sensitivity of the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) to Topographic Effects: A Case Study in High-Density Cypress Forest
Differences in the topographic effect on the EVI and the NDVI are theoretically analyzed based on a non-Lambertian model and two airborne-based images acquired from a mountainous area covered by high-density Japanese cypress plantation were used as a case study, indicating that the soil adjustment factor “L” in theEVI makes it more sensitive to topographic conditions than is theNDVI. Expand