Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2022-04-02 12:13:46	ga_s2bm_ard_3-2-1_49KGR_2022-04-02_final
2022-04-03 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2022-04-03_final
2022-04-03 11:45:08	ga_s2bm_ard_3-2-1_50JNR_2022-04-03_final
2022-04-03 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2022-04-03_final
2022-04-03 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2022-04-03_final
2022-04-03 11:45:32	ga_s2bm_ard_3-2-1_50JPP_2022-04-03_final
2022-04-06 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2022-04-06_final
2022-04-06 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2022-04-06_final
2022-04-07 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2022-04-07_final
2022-04-07 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2022-04-07_final
2022-04-07 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2022-04-07_final
2022-04-07 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2022-04-07_final
2022-04-10 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2022-04-10_final
2022-04-10 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2022-04-10_final
2022-04-10 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2022-04-10_final
2022-04-13 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2022-04-13_final
2022-04-13 11:45:38	ga_s2bm_ard_3-2-1_51JTH_2022-04-13_final
2022-04-13 11:45:41	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-13 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-17 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2022-04-17_final
2022-04-17 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2022-04-17_final
2022-04-17 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2022-04-17_final
2022-04-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2022-04-20_final
2022-04-20 11:34:35	ga_s2bm_ard_3-2-1_51JWM_2022-04-20_final
2022-04-20 11:35:11	ga_s2bm_ard_3-2-1_51JUK_2022-04-20_final
2022-04-20 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2022-04-20_final
2022-04-23 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-04-23_final
2022-04-23 11:45:36	ga_s2bm_ard_3-2-1_51JTH_2022-04-23_final
2022-04-23 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-04-23_final
2022-04-26 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2022-04-26_final
2022-04-26 11:55:32	ga_s2bm_ard_3-2-1_50JMP_2022-04-26_final
2022-04-26 11:55:35	ga_s2bm_ard_3-2-1_50JLP_2022-04-26_final
2022-04-27 11:24:37	ga_s2bm_ard_3-2-1_51JWM_2022-04-27_final
2022-04-27 11:24:52	ga_s2bm_ard_3-2-1_51JWL_2022-04-27_final
2022-04-27 11:25:24	ga_s2bm_ard_3-2-1_51JVJ_2022-04-27_final
2022-04-27 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2022-04-27_final
2022-04-27 11:25:35	ga_s2bm_ard_3-2-1_51JWH_2022-04-27_final
2022-04-30 11:34:43	ga_s2bm_ard_3-2-1_51JTM_2022-04-30_final
2022-04-30 11:35:06	ga_s2bm_ard_3-2-1_51JVK_2022-04-30_final
2022-04-30 11:35:27	ga_s2bm_ard_3-2-1_51JTJ_2022-04-30_final
2022-05-01 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2022-05-01_final
2022-05-01 11:01:22	ga_s2bm_ard_3-2-1_52LHJ_2022-05-01_final
2022-05-03 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-05-03_final
2022-05-03 11:45:55	ga_s2bm_ard_3-2-1_50JQM_2022-05-03_final
2022-05-03 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-05-03_final
2022-05-03 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-03_final
2022-05-06 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2022-05-06_final
2022-05-06 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-05-06_final
2022-05-06 11:56:18	ga_s2bm_ard_3-2-1_50JML_2022-05-06_final
2022-05-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-05-06_final
2022-05-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-05-06_final
2022-05-07 11:21:57	ga_s2bm_ard_3-2-1_52KDG_2022-05-07_final
2022-05-07 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2022-05-07_final
2022-05-10 09:57:07	ga_s2bm_ard_3-2-1_54HXE_2022-05-10_final
2022-05-10 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-05-10_final
2022-05-10 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-05-10_final
2022-05-13 10:07:20	ga_s2bm_ard_3-2-1_54HXD_2022-05-13_final
2022-05-13 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-05-13_final
2022-05-13 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-05-13_final
2022-05-13 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-05-13_final
2022-05-13 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-05-13_final
2022-05-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-05-13_final
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final
2022-05-13 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-05-13_final
2022-05-13 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-05-13_final
2022-05-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-05-13_final
2022-05-14 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2022-05-14_final
2022-05-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-05-16_final
2022-05-16 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-05-16_final
2022-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-16_final
2022-05-17 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2022-05-17_final
2022-05-17 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2022-05-17_final
2022-05-17 11:21:58	ga_s2bm_ard_3-2-1_51LYC_2022-05-17_final
2022-05-17 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2022-05-17_final
2022-05-17 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2022-05-17_final
2022-05-18 10:50:41	ga_s2bm_ard_3-2-1_53LMG_2022-05-18_final
2022-05-20 11:31:53	ga_s2bm_ard_3-2-1_51LYC_2022-05-20_final
2022-05-20 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2022-05-20_final
2022-05-20 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-05-20_final
2022-05-20 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-20_final
2022-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-05-20_final
2022-05-21 11:01:28	ga_s2bm_ard_3-2-1_52LHJ_2022-05-21_final
2022-05-23 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2022-05-23_final
2022-05-23 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2022-05-23_final
2022-05-23 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2022-05-23_final
2022-05-23 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2022-05-23_final
2022-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2022-05-23_final
2022-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2022-05-23_final
2022-05-24 11:10:58	ga_s2bm_ard_3-2-1_52LGL_2022-05-24_final
2022-05-24 11:12:11	ga_s2bm_ard_3-2-1_52KCG_2022-05-24_final
2022-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-05-26_final
2022-05-26 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2022-05-26_final
2022-05-26 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-05-26_final
2022-05-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-05-26_final
2022-05-27 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2022-05-27_final
2022-05-27 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2022-05-27_final
2022-05-27 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-05-27_final
2022-05-30 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2022-05-30_final
2022-05-30 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-30_final
2022-05-30 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-30_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years