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
2022-09-01 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2022-09-01_final.stac-item
2022-09-03 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2022-09-03_final.stac-item
2022-09-03 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2022-09-03_final.stac-item
2022-09-03 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2022-09-03_final.stac-item
2022-09-03 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-03_final.stac-item
2022-09-03 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2022-09-03_final.stac-item
2022-09-04 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2022-09-04_final.stac-item
2022-09-04 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2022-09-04_final.stac-item
2022-09-04 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-04_final.stac-item
2022-09-04 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2022-09-04_final.stac-item
2022-09-06 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2022-09-06_final.stac-item
2022-09-06 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2022-09-06_final.stac-item
2022-09-07 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2022-09-07_final.stac-item
2022-09-07 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2022-09-07_final.stac-item
2022-09-07 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2022-09-07_final.stac-item
2022-09-07 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-07_final.stac-item
2022-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-09-10_final.stac-item
2022-09-10 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2022-09-10_final.stac-item
2022-09-10 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2022-09-10_final.stac-item
2022-09-10 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2022-09-10_final.stac-item
2022-09-10 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-09-10_final.stac-item
2022-09-10 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-10_final.stac-item
2022-09-13 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2022-09-13_final.stac-item
2022-09-13 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2022-09-13_final.stac-item
2022-09-13 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-09-13_final.stac-item
2022-09-13 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2022-09-13_final.stac-item
2022-09-13 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2022-09-13_final.stac-item
2022-09-14 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2022-09-14_final.stac-item
2022-09-14 11:26:13	ga_s2bm_ard_3-2-1_51JWF_2022-09-14_final.stac-item
2022-09-14 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2022-09-14_final.stac-item
2022-09-14 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2022-09-14_final.stac-item
2022-09-14 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2022-09-14_final.stac-item
2022-09-17 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2022-09-17_final.stac-item
2022-09-17 11:36:25	ga_s2bm_ard_3-2-1_51HVE_2022-09-17_final.stac-item
2022-09-17 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2022-09-17_final.stac-item
2022-09-17 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2022-09-17_final.stac-item
2022-09-17 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2022-09-17_final.stac-item
2022-09-17 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-09-17_final.stac-item
2022-09-20 11:46:27	ga_s2bm_ard_3-2-1_50JML_2022-09-20_final.stac-item
2022-09-20 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2022-09-20_final.stac-item
2022-09-20 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-09-20_final.stac-item
2022-09-20 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-09-20_final.stac-item
2022-09-20 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2022-09-20_final.stac-item
2022-09-20 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-09-20_final.stac-item
2022-09-20 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2022-09-20_final.stac-item
2022-09-21 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2022-09-21_final.stac-item
2022-09-23 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2022-09-23_final.stac-item
2022-09-23 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2022-09-23_final.stac-item
2022-09-23 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-23_final.stac-item
2022-09-23 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2022-09-23_final.stac-item
2022-09-23 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-23_final.stac-item
2022-09-24 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2022-09-24_final.stac-item
2022-09-24 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2022-09-24_final.stac-item
2022-09-24 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-09-24_final.stac-item
2022-09-24 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2022-09-24_final.stac-item
2022-09-26 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-09-26_final.stac-item
2022-09-26 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2022-09-26_final.stac-item
2022-09-27 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2022-09-27_final.stac-item
2022-09-27 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-09-27_final.stac-item
2022-09-27 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2022-09-27_final.stac-item
2022-09-27 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-09-27_final.stac-item
2022-09-27 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-09-27_final.stac-item
2022-09-30 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2022-09-30_final.stac-item
2022-09-30 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-09-30_final.stac-item
2022-09-30 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-09-30_final.stac-item
2022-09-30 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-09-30_final.stac-item
2022-09-30 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-09-30_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-09-30 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-09-30_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-11-18 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2022-11-18_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2022-11-18 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-11-18_final.stac-item
2022-11-19 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2022-11-19_final.stac-item
2022-11-19 11:43:36	ga_s2bm_ard_3-2-1_50KQB_2022-11-19_final.stac-item
2022-11-19 11:43:51	ga_s2bm_ard_3-2-1_50KQA_2022-11-19_final.stac-item
2022-11-19 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2022-11-19_final.stac-item
2022-11-19 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-11-19_final.stac-item
2022-11-19 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2022-11-19_final.stac-item
2022-11-19 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2022-11-19_final.stac-item
2022-11-19 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-11-19_final.stac-item
2022-11-19 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2022-11-19_final.stac-item
2022-11-19 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2022-11-19_final.stac-item
2022-11-19 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-11-19_final.stac-item
2022-11-19 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-19_final.stac-item
2022-11-19 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-19_final.stac-item
2022-11-19 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-11-19_final.stac-item
2022-11-19 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-11-19_final.stac-item
2022-11-19 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2022-11-19_final.stac-item
2022-11-19 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-11-19_final.stac-item
2022-11-19 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-11-19_final.stac-item
2022-11-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-11-19_final.stac-item
2022-11-19 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-11-19_final.stac-item
2022-11-20 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2022-11-20_final.stac-item
2022-11-20 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2022-11-20_final.stac-item
2022-11-20 11:15:24	ga_s2bm_ard_3-2-1_51JYJ_2022-11-20_final.stac-item
2022-11-20 11:15:42	ga_s2bm_ard_3-2-1_51JXH_2022-11-20_final.stac-item
2022-11-20 11:15:57	ga_s2bm_ard_3-2-1_51JXG_2022-11-20_final.stac-item
2022-11-20 11:16:19	ga_s2bm_ard_3-2-1_51JWF_2022-11-20_final.stac-item
2022-11-20 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2022-11-20_final.stac-item

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

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