Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial NetworkLandsat and Sentinel-2 are two freely accessible satellite data that are relevant for global land cover monitoring. However, the uses of the latter data set are growing because of its higher spatial ...
One high spatial resolution WV-2 image from 2013 was also acquired, primarily for reference and analysis of CCFP stands for which Landsat imagery is too coarse (Table 1). Prior to the analysis, all Landsat images were atmospherically corrected using simple dark object subtraction (DOS3), ...
Spectral similarities between the Landsat 8 Optical Land Imager (OLI) and the Sentinel-2 Multi-Spectral Imager (MSI) present an opportunity to harmonize data from both sensors to generate higher-frequency imagery products for land surface monitoring and applications. HLS 重访时间(橙色线)和计划 Landsa...
Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiersMirrorsNumerical analysisNumerical modelsOptical receiversPetroleumPower generationPower system modelingSolar energySystem testingTemperature...
表1摇 Landsat8 与Landsat7 影像的主要参数对比 Table 1摇 Comparison of spectral bands between Landsat8 and Landsat7 Landsat 8 Landsat7 空间分辨率 辐射分辨率 空间分辨率 辐射分辨率 波长 波长 传感器 波段号 波段 Spatial Radiometric 传感器 波段号 波段 Spatial Radiometric Wavelength Wavelength Sensor Band No...
(VNIR/SWIR) imagery consistent with previous Landsat spectral, spatial, radiometric and geometric qualities. A difference, however, is that Landsat 9 will downlink all 14 bits of data produced by OLI-2, providing a greater bit depth for its imagery as compared to the 12-bit data downlinked ...
tool works with many different sensors and reads the associated metadata to calibrate imagery to ...
woody cover in an extensive semi-arid woodland area at different spatial grains with Sentinel-2 and very high-resolution data International Journal of Applied Earth Observation and Geoinformation @EShafeian Shafeian 2021 semi-arid woodlands, Zagros, woody cover, Sentinel-2, VHR imagery, land cover...
To overcome this limitation, a non-linear random forest algorithm was used to improve the spatial resolution of the chlorophyll a data from Himawari-8 by constructing a downscaling model using the band reflectance data from Landsat 8and the chlorophyll-a products from Himawari-8. The results ...
Calculation of the surface reflectance: For nondense vegetation pixels in the imagery, the interpolation technique using a moving window is adopted to estimate the spatial distribution of the AOT; then, the surface reflectance of all pixels can be calculated. Fig. 4.3 shows an application case of...