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
2023-02-11 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2023-02-11_final.stac-item
2023-02-11 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2023-02-11_final.stac-item
2023-02-11 11:25:02	ga_s2bm_ard_3-2-1_51JVL_2023-02-11_final.stac-item
2023-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-02-11_final.stac-item
2023-02-13 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2023-02-13_final.stac-item
2023-02-13 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2023-02-13_final.stac-item
2023-02-13 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2023-02-13_final.stac-item
2023-02-13 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2023-02-13_final.stac-item
2023-02-13 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2023-02-13_final.stac-item
2023-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2023-02-13_final.stac-item
2023-02-13 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-02-13_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-02-13_final.stac-item
2023-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2023-02-13_final.stac-item
2023-02-13 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2023-02-13_final.stac-item
2023-02-13 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-02-13_final.stac-item
2023-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-02-13_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final.stac-item
2023-02-13 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-02-13_final.stac-item
2023-02-13 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-02-13_final.stac-item
2023-02-13 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2023-02-13_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final.stac-item
2023-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-02-14_final.stac-item
2023-02-14 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2023-02-14_final.stac-item
2023-02-14 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2023-02-14_final.stac-item
2023-02-14 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2023-02-14_final.stac-item
2023-02-14 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2023-02-14_final.stac-item
2023-02-14 11:34:59	ga_s2bm_ard_3-2-1_51JUL_2023-02-14_final.stac-item
2023-02-14 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2023-02-14_final.stac-item
2023-02-14 11:35:29	ga_s2bm_ard_3-2-1_51JUJ_2023-02-14_final.stac-item
2023-02-14 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-02-14_final.stac-item
2023-02-14 11:36:01	ga_s2bm_ard_3-2-1_51JTG_2023-02-14_final.stac-item
2023-02-14 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-02-14_final.stac-item
2023-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-02-14_final.stac-item
2023-02-14 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-02-14_final.stac-item
2023-02-14 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2023-02-14_final.stac-item
2023-02-16 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2023-02-16_final.stac-item
2023-02-16 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-16 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-02-16 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-02-16_final.stac-item
2023-02-16 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2023-02-16_final.stac-item
2023-02-16 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2023-02-16_final.stac-item
2023-02-16 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2023-02-16_final.stac-item
2023-02-16 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-16_final.stac-item
2023-02-17 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-17_final.stac-item
2023-02-17 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2023-02-17_final.stac-item
2023-02-17 11:44:08	ga_s2bm_ard_3-2-1_50KPV_2023-02-17_final.stac-item
2023-02-17 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2023-02-17_final.stac-item
2023-02-17 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2023-02-17_final.stac-item
2023-02-17 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2023-02-17_final.stac-item
2023-02-17 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2023-02-17_final.stac-item
2023-02-17 11:44:51	ga_s2bm_ard_3-2-1_50JRS_2023-02-17_final.stac-item
2023-02-17 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2023-02-17_final.stac-item
2023-02-17 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2023-02-17_final.stac-item
2023-02-17 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2023-02-17_final.stac-item
2023-02-17 11:46:05	ga_s2bm_ard_3-2-1_51JTF_2023-02-17_final.stac-item
2023-02-17 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2023-02-17_final.stac-item
2023-02-17 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2023-02-17_final.stac-item
2023-02-17 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2023-02-17_final.stac-item
2023-02-17 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-02-17_final.stac-item
2023-02-17 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2023-02-17_final.stac-item
2023-02-17 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-17_final.stac-item
2023-02-17 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-02-17_final.stac-item
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final.stac-item
2023-02-18 11:16:10	ga_s2bm_ard_3-2-1_51JXF_2023-02-18_final.stac-item
2023-02-20 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2023-02-20_final.stac-item
2023-02-20 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2023-02-20_final.stac-item
2023-02-20 11:53:42	ga_s2bm_ard_3-2-1_50KMB_2023-02-20_final.stac-item
2023-02-20 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2023-02-20_final.stac-item
2023-02-20 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2023-02-20_final.stac-item
2023-02-20 11:54:04	ga_s2bm_ard_3-2-1_50KPV_2023-02-20_final.stac-item
2023-02-20 11:54:07	ga_s2bm_ard_3-2-1_50KNV_2023-02-20_final.stac-item
2023-02-20 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2023-02-20_final.stac-item
2023-02-20 11:54:18	ga_s2bm_ard_3-2-1_50KPU_2023-02-20_final.stac-item
2023-02-20 11:54:22	ga_s2bm_ard_3-2-1_50JQT_2023-02-20_final.stac-item
2023-02-20 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2023-02-20_final.stac-item
2023-02-20 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2023-02-20_final.stac-item
2023-02-20 11:55:20	ga_s2bm_ard_3-2-1_50JNQ_2023-02-20_final.stac-item
2023-02-20 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2023-02-20_final.stac-item
2023-02-20 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-02-20_final.stac-item
2023-02-20 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-20_final.stac-item
2023-02-20 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2023-02-20_final.stac-item
2023-02-20 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2023-02-20_final.stac-item
2023-02-20 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-02-20_final.stac-item
2023-02-20 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2023-02-20_final.stac-item
2023-02-20 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-02-20_final.stac-item
2023-02-20 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-02-20_final.stac-item
2023-02-21 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2023-02-21_final.stac-item
2023-02-21 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2023-02-21_final.stac-item
2023-02-21 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2023-02-21_final.stac-item
2023-02-21 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2023-02-21_final.stac-item
2023-02-21 11:25:03	ga_s2bm_ard_3-2-1_51JVL_2023-02-21_final.stac-item
2023-02-21 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2023-02-21_final.stac-item
2023-02-21 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2023-02-21_final.stac-item
2023-03-08 12:13:30	ga_s2bm_ard_3-2-1_49KFU_2023-03-08_nrt.stac-item
2023-03-08 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-03-08_nrt.stac-item
2023-03-08 12:13:37	ga_s2bm_ard_3-2-1_49KFT_2023-03-08_nrt.stac-item
2023-03-08 12:13:47	ga_s2bm_ard_3-2-1_49KGS_2023-03-08_nrt.stac-item
2023-03-08 12:13:51	ga_s2bm_ard_3-2-1_49KFS_2023-03-08_nrt.stac-item
2023-03-08 12:14:05	ga_s2bm_ard_3-2-1_49KFR_2023-03-08_nrt.stac-item
2023-03-08 12:14:20	ga_s2bm_ard_3-2-1_49KFQ_2023-03-08_nrt.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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