简介:GEE数据集——Cloud Score+ S2_HARMONIZED数据集 简介 Cloud Score+ 是一种用于中高分辨率光学卫星图像的质量评估(QA)处理器。Cloud Score+ S2_HARMONIZED数据集是由统一的哨兵-2 L1C数据集制作的,Cloud Score+的输出可用于识别相对清晰的像素,并有效去除L1C(大气顶部)或L2A(表面反射率)图像中的云层和云影。
var QA_BAND = 'cs_cdf'; // The threshold for masking; values between 0.50 and 0.65 generally work well. // Higher values will remove thin clouds, haze & cirrus shadows. var CLEAR_THRESHOLD = 0.60; // Make a clear median composite. var composite = s2 .filterBounds(ROI) .filterDate(...
var ROI= ee.Geometry.Point(-119.9087, 37.4159);// Use'cs'or'cs_cdf', depending on your use case; see docsforguidance. var QA_BAND='cs_cdf';// The thresholdformasking; values between 0.50and0.65generally work well.// Higher values will remove thin clouds, haze &cirrus shadows. var CL...
// The threshold for masking; values between 0.50 and 0.65 generally work well. // Higher values will remove thin clouds, haze & cirrus shadows. var CLEAR_THRESHOLD = 0.60; // Make a clear median composite. var composite = s2 .filterBounds(ROI) .filterDate('2023-01-01', '2023-02-01...
The notebookmultitemporal_cloud_masking_sample.ipynbexplains in great detail the method for background estimation proposed in (Gomez-Chova et al 2017) The notebookclustering_differences.ipynbexplains the clustering procedure and the thresholding of the image to form the cloud mask. ...
I tried to use 10 bands like in comments here . tried to use all 13 bands, different thresholds..but I cant't get shadows mask =(( The advice about the custom script application did'tt help to solve my problem. The shadows after masking are always the same color as open water.. a...
var QA_BAND = 'cs_cdf'; // The threshold for masking; values between 0.50 and 0.65 generally work well. // Higher values will remove thin clouds, haze & cirrus shadows. var CLEAR_THRESHOLD = 0.60; // Make a clear median composite. var composite = s2 .filterBounds(ROI) .filterDate(...
multi-modal cloud removal35and data fusion36approaches, each CloudSEN12 IP includes data from various remote sensing sources that have already shown their usefulness in cloud and cloud shadow masking, such as Sentinel-1 and elevation data. See Table2for a full list of assets available for each...
Based on the Google Earth Engine (GEE) cloud platform and Landsat series satellite data, in this study, the Emergency Geomatics Service (EGS) operational surface water mapping algorithm and water index masking were utilized to extract the spatial scope of the water body. The validated models of ...
The strategy has three steps, as shown in Fig. 2: (1) collection of cloudy Landsat-8 imagery, which is adjacent to the clear-sky ones in the SMILE patches and can provide real cloud and shadow pixels; (2) masking of cloud and shadow, which is based on threshold segmentation methods, ...