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...
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…
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。 HLS 产品由一组算法创建:大气校正、云和云阴影遮罩...
This study demonstrates the applicability of harmonizing Sentinel-2 MultiSpectral Imager (MSI) and Landsat-8 Operational Land Imager (OLI) satellite imagery products to enable the monitoring of inland lake water clarity in the Google Earth Engine (GEE) environment. Processing steps include (1) ...
【GEE】Sentinel-2 最新去云方法总结 imagesentinelvar数据算法 这段代码中去云的方法是:rmCloudByQA()其他的代码也都是基础代码,我就不在过多解释。 Twcat_tree 2023/12/07 8400 Google Earth Engine(GEE)——欧空局WorldCover 10 m分辨率土地利用/土地覆盖数据集 2020 V100 ...
The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a Virtual Constellation (VC) of surface reflectance (SR) data acquired by the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat 8 and Sentinel-2 remote sensing satellites, ...
HLS.S30.T16TDL.2019206.v1.4_01.tif would be located at https://hlssa.blob.core.windows.net/hls/S30/HLS.S30.T16TDL.2019206.v1.4_03.tif and would represent Sentinel-2 (S30) HLS data for tile 16TDL (primary tile 16T, sub-tile DL) for dataset band 03 (MSI Band 3, Green) for the...
All three products are processed for every Level-1 input products from Landsat 8/OLI (L1T) and Sentinel-2/MSI (L1C). As of version 1.3, the HLS data set covers 10.35 million km(2) and spans from first Landsat 8 data (2013); Sentinel-2 data spans from October 2015.Claverie, Martin...
Inspired by the recent advances in deep learning, this study developed an extended super-resolution convolutional neural network (ESRCNN) to a data fusion framework, specifically for blending Landsat-8 Operational Land Imager (OLI) and Sentinel-2 Multispectral Imager (MSI) data. Results demonstrated...