Bit 0: Fill0: Image data1: Fill dataBit 1: Dilated Cloud0: Cloud is not dilated or no clo...
This dataset contains atmospherically corrected surface reflectance and land surface temperature derived from the data produced by the Landsat 8 OLI/TIRS sensors. These images contain 5 visible and near-infrared (VNIR) bands and 2 short-wave infrared (SW
Landsat8 Collection2表面反射率数据,属Collection2二级数据产品,分辨率为30米,基于陆地表面反射率代码(LaSRC)(版本1.5.0)生成,该算法利用沿海气溶胶波段进行气溶胶反演测试,还利用了MODIS的辅助气候数据和独特的辐射传输模型。 此外,LaSRC算法将观测天顶角硬编码为
Landsat Collection 2 Level-1 更新了 Landsat 8 TIRS 和 OLI 绝对辐射校准和相对增益。 Collection 2 Level-2 数据 Landsat Collection 2 Level-2 提供的是多光谱波段地表反射率和热红外波段地表温度产品,即多光谱数据经过了大气校正处理。采用的大气校正的算法也有所提高。 注意:影像的像元值需要乘以0.0000275再减...
Band designations of Landsat eight imagery. Band no.BandsWavelength(μm)Resolution(m) 1 Coastal aerosol 0.43–0.45 30 2 Blue 0.45–0.51 30 3 Green 0.53–0.59 30 4 Red 0.64–0.67 30 5 Near infrared (NIR) 0.85–0.88 30 6 SWIR 1 1.57–1.65 30 7 SWIR 2 2.11–2.29 30 8 Panchromatic ...
The example below uses Landsat 5 ARD data, but the same workflow can be used for Landsat 7 and Landsat 8 imagery. Landsat surface reflectance and QA products When you browse to a Landsat 5 Collection 2 raster product(the one with the .xml extension)in the Catalog pane in ArcGIS Pro, the...
This chapter provides an overview of the Landsat collections and relevant quality information necessary for using the imagery. 本节概述了Landsat8系列和使用图像所需的相关质量信息。 Landsat platform. Landsat processing tiers. Landsat 8¶ Landsat 8 collection. Surface Reflectance (SR)¶ USGS Landsat ...
In this example, we are going to use the Landsat-8 Surfarce reflectance Tier 1 image collection, containing all the images taken during 2020, and using the 3 RGB bands for this example. Here we are also going to apply a mask to the pixels with the cloud_mask function from the gee...
Table 2. The wavelengths (in nm) of the bands of the Landsat-5 and Landsat-8 images used in this study. Due to the limited amount of cloud- and ice-free scenes that covered the coastline’s full extent, the tidal level was not accounted for when selecting imagery. In addition, tidal...
Landsat-8 and Sentinel-2 based Forest fire burn area mapping using machine learning algorithms on GEE cloud platform over Uttarakhand, Western Himalaya 2020, Remote Sensing Applications: Society and Environment Citation Excerpt : Spectrally sensitive Sentinel-2 level-1C and Landsat-8 OLI orthorectified...