Harmonized Landsat Sentinel2 是一个旨在整合Landsat 8 OLI与Sentinel2 MSI传感器数据，以生成更高频率陆地表面监测图像的项目。以下是关于HLS的详细解答：项目目的：HLS项目旨在结合Landsat 8的Optical Land Imager 与Sentinel2的MultiSpectral Imager 的数据，生成具有更高时间分辨率的陆地表面监测图像。产品特点...
先看一个小视频: 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 ge…
照射角对于一个瓦片被设置为在Landsat-8和Sentinel-2在该瓦片中心的纬度上空过时的太阳天顶角的平均值;这个角度是使用Li等人(2018年)描述的代码导出的。 bandpass调整 MSI和OLI在等效光谱波段上具有略有不同的波段通量,这些差异需要在HLS产品中移除。OLI光谱波段被用作参考,MSI光谱波段被调整到与之相匹配。波段通量的...
小视频揭示了Landsat 8的Optical Land Imager (OLI)与Sentinel-2的Multi-Spectral Imager (MSI)之间的光谱相似性，这促使了Harmonized Landsat Sentinel-2 (HLS)项目的诞生。该项目旨在整合两种传感器的数据，生成更高频率的陆地表面监测图像，每2-3天就能提供全球30米分辨率的观察。HLSS30和HLSL30产品是...
Harmonized Landsat Sentinel-2 (HLS) 是 NASA 的一项举措,输入产品是 Landsat 8-9 L1 和 Sentinel-2 L1C 大气层顶部反射率。该数据自2013年4月起在全球范围内提供,分辨率为30米,重访时间为2-3天。 它被广泛用于监测植被、土地利用和土地覆盖随时间的变化。
Satellite imagery from the Landsat 8 and Sentinel-2 satellites, aligned to a common grid and processed to compatible color spaces. The Harmonized Landsat Sentinel-2 (HLS) product includes data from the Landsat-8 and Sentinel-2 satellites, aligned to a common tiling system at 30m resolution, fro...
The MSI sensor onboard both satellites provides a spatial resolution of 10 to 60 m depending on the wavelength. The Sentinel-2 constellation provides open-access optical imagery of the global land surface with a 5-day revisit period. The Harmonized Landsat and Sentinel-2 (HLS) product aims ...
Note Cloud Score+ is produced from Sentinel-2 // Level 1C data and can be applied to either L1C or L2A collections. var csPlus = ee.ImageCollection('GOOGLE/CLOUD_SCORE_PLUS/V1/S2_HARMONIZED'); // Region of interest. var ROI = ee.Geometry.Point(-119.9087, 37.4159); // Use 'cs' ...
Sharpening thermal data from VIIRS using the Harmonized Landsat-Sentinel-2 SR data was also tried (Claverie et al., 2018) and at 30-m resolution (Xue et al., 2020). Recently, three companies – Denmark's DHI GRAS, Spain's Institute of Agri-food Research and Technology (IRTA), and ...
The latest Version 2.0 CloudSEN12+ cloud and shadow annotation data were used and are composed of 5 × 5 km 10 m annotated Sentinel-2 image subsets defining four classes (cloud, thin cloud, shadow, and clear) with the corresponding Sentinel-2 MSI TOA reflectance bands (Aybar et al., 2024...