1)在ENVI的Toobox中,选择Radiometric Correction>Radiometric Calibration,选择多光谱数据(MultiSpectral多光谱数据(1~7波段)、Panchromatic 全色波段数据(8波段)、Cirrus卷云波段数据(9波段)、Thermal热红外数据(10,11波段)、Quality质量波段数据(12波段))。 2)设置参数 Calibration Type定标的类型:radiance(辐射率)、refl...
The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because it reflects blues and violets. This band combination is good for estimating suspended sediment in the...
Landsat 8Bands’ 1 to 7 spectral vectors plus machine learning to improve land use/cover classification using Google Earth Engine 土地利用/覆盖分类方法改进:一种基于Landsat 8卫星影像1至7波段光谱向量和机器学习并使用谷歌地球引擎...
Computes a simple cloud-likelihood score in the range [0,100] using a combination of brightness, temperature, and NDSI. This is not a robust cloud detector, and is intended mainly to compare multiple looks at the same point for *relative* cloud likelihood. Arguments: image (Image): The La...
关键词:Landsat8; 土地利用/覆被; 最佳波段组合; OIF; 恩施市中图分类号:R231.5 文献标志码:AOptimum Bands Combination of Landsat8 Image in Land Use Classification———Taking Enshi as a Case StudyZHANG Jinlong 1 ,CHANG Sheng 1,2*(1.School of Forestry and Horticulture,Hubei University for ...
Map.addLayer(toa, {bands: ['B4','B3','B2'],max:0.2},'toa reflectance'); 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 原始数据结果: 辐射数据结果: 反射率数据结果: 地表反射率 Landsat 表面反射率 (SR) 数据可作为 USGS Collection 2, Level 2 存档的副本在 Earth Engine 中使...
var bands = array.arraySlice(bandAxis, 0, bandNames.length());var clouds = array.arraySlice(bandAxis, bandNames.length());// 按云量排序。var sorted = bands.arraySort(clouds);// 获取最少混浊的图像,占总数的 20%。var numImages = sorted.arrayLength(imageAxis).multiply(0.2).int();var ...
It is noticed that the Landsat 8 TIRS image with the combination of the visible and near-infrared (VNIR) and short-wave infrared bands are required for a robust automated land and cloud masking from TIRS bands for quality estimation of the thermal emissivity properties. Read more View chapter...
Band ratio combination (3/2, 5/1, 7/3) for Landsat 7 and (4/3, 6/2, 7/4) for Landsat 8 had more contrast on geologic information and formed the input data in knowledge base classification. Lineament visualisazion was achieved by performing IHS transformation of FCC with highest ...
var masked = cloudy_scene.updateMask(mask);Map.addLayer(masked, {bands: ['B4', 'B3', 'B2'], max: 0.4}, 'masked');// 加载 Landsat 8 组合并设置 SENSOR_ID 属性,这里选取第一幅影像var mosaic = ee.Image(ee.ImageCollection('LANDSAT/LC8_L1T_8DAY_TOA').first()).set('SENSOR_ID', ...