Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2021-05-03 10:55:21	ga_s2bm_ard_3-2-1_53JKH_2021-05-03_final.stac-item
2021-05-03 10:55:36	ga_s2bm_ard_3-2-1_53JKG_2021-05-03_final.stac-item
2021-06-05 11:00:15	ga_s2bm_ard_3-2-1_53LKJ_2021-06-05_final
2021-06-05 11:00:30	ga_s2bm_ard_3-2-1_53LKH_2021-06-05_final.stac-item
2021-06-05 11:00:31	ga_s2bm_ard_3-2-1_52LHN_2021-06-05_final.stac-item
2021-06-05 11:00:44	ga_s2bm_ard_3-2-1_53LKG_2021-06-05_final.stac-item
2021-06-05 11:00:46	ga_s2bm_ard_3-2-1_52LHM_2021-06-05_final.stac-item
2021-06-05 11:00:59	ga_s2bm_ard_3-2-1_53LKF_2021-06-05_final.stac-item
2021-06-05 11:01:00	ga_s2bm_ard_3-2-1_52LHL_2021-06-05_final.stac-item
2021-06-05 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2021-06-05_final.stac-item
2021-06-05 11:01:14	ga_s2bm_ard_3-2-1_52LHK_2021-06-05_final.stac-item
2021-06-05 11:01:20	ga_s2bm_ard_3-2-1_53LKE_2021-06-05_final.stac-item
2021-06-05 11:01:21	ga_s2bm_ard_3-2-1_53LKD_2021-06-05_final.stac-item
2021-06-05 11:01:21	ga_s2bm_ard_3-2-1_52LHK_2021-06-05_final.stac-item
2021-06-05 11:01:21	ga_s2bm_ard_3-2-1_52LHJ_2021-06-05_final.stac-item
2021-06-05 11:01:28	ga_s2bm_ard_3-2-1_53LKD_2021-06-05_final.stac-item
2021-06-05 11:01:29	ga_s2bm_ard_3-2-1_52LHJ_2021-06-05_final.stac-item
2021-06-05 11:01:42	ga_s2bm_ard_3-2-1_53LKC_2021-06-05_final.stac-item
2021-06-05 11:01:44	ga_s2bm_ard_3-2-1_52LHH_2021-06-05_final.stac-item
2021-06-05 11:01:57	ga_s2bm_ard_3-2-1_53KKB_2021-06-05_final.stac-item
2021-06-05 11:01:58	ga_s2bm_ard_3-2-1_52KHG_2021-06-05_final.stac-item
2021-06-05 11:02:11	ga_s2bm_ard_3-2-1_53KKA_2021-06-05_final.stac-item
2021-06-05 11:02:13	ga_s2bm_ard_3-2-1_52KHF_2021-06-05_final.stac-item
2021-06-05 11:02:26	ga_s2bm_ard_3-2-1_53KKV_2021-06-05_final.stac-item
2021-06-05 11:02:27	ga_s2bm_ard_3-2-1_52KHE_2021-06-05_final.stac-item
2021-06-05 11:02:41	ga_s2bm_ard_3-2-1_53KKU_2021-06-05_final.stac-item
2021-06-05 11:02:41	ga_s2bm_ard_3-2-1_52KHD_2021-06-05_final.stac-item
2022-04-28 10:52:23	ga_s2bm_ard_3-2-1_53KKV_2022-04-28_final.stac-item
2022-04-28 10:52:24	ga_s2bm_ard_3-2-1_52KHE_2022-04-28_final.stac-item
2022-04-28 10:52:37	ga_s2bm_ard_3-2-1_53KKU_2022-04-28_final.stac-item
2022-04-28 10:52:37	ga_s2bm_ard_3-2-1_52KHD_2022-04-28_final.stac-item
2022-04-28 10:52:52	ga_s2bm_ard_3-2-1_53KKT_2022-04-28_final.stac-item
2022-04-28 10:52:52	ga_s2bm_ard_3-2-1_52KHC_2022-04-28_final.stac-item
2022-04-28 10:53:06	ga_s2bm_ard_3-2-1_53KKS_2022-04-28_final.stac-item
2022-04-28 10:53:07	ga_s2bm_ard_3-2-1_52KHB_2022-04-28_final.stac-item
2022-04-28 10:53:21	ga_s2bm_ard_3-2-1_53KKR_2022-04-28_final.stac-item
2022-04-28 10:53:21	ga_s2bm_ard_3-2-1_52KHA_2022-04-28_final.stac-item
2022-04-28 10:53:36	ga_s2bm_ard_3-2-1_53KKQ_2022-04-28_final.stac-item
2022-04-28 10:53:36	ga_s2bm_ard_3-2-1_52KHV_2022-04-28_final.stac-item
2022-04-28 10:53:50	ga_s2bm_ard_3-2-1_53KKP_2022-04-28_final.stac-item
2022-04-28 10:53:50	ga_s2bm_ard_3-2-1_52KHU_2022-04-28_final.stac-item
2022-04-28 10:54:04	ga_s2bm_ard_3-2-1_52JHT_2022-04-28_final.stac-item
2022-04-28 10:54:05	ga_s2bm_ard_3-2-1_53JKN_2022-04-28_final.stac-item
2022-04-28 10:54:19	ga_s2bm_ard_3-2-1_52JHS_2022-04-28_final.stac-item
2022-04-28 10:54:19	ga_s2bm_ard_3-2-1_53JKM_2022-04-28_final.stac-item
2022-04-28 10:54:34	ga_s2bm_ard_3-2-1_53JKL_2022-04-28_final.stac-item
2022-04-28 10:54:48	ga_s2bm_ard_3-2-1_53JKK_2022-04-28_final.stac-item
2022-04-28 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-04-28_final.stac-item
2022-04-28 10:54:55	ga_s2bm_ard_3-2-1_53JKJ_2022-04-28_final.stac-item
2022-04-28 10:55:03	ga_s2bm_ard_3-2-1_53JKJ_2022-04-28_final.stac-item
2022-04-28 10:55:17	ga_s2bm_ard_3-2-1_53JKH_2022-04-28_final.stac-item
2022-08-26 10:52:29	ga_s2bm_ard_3-2-1_53KKV_2022-08-26_final.stac-item
2022-08-26 10:52:31	ga_s2bm_ard_3-2-1_52KHE_2022-08-26_final.stac-item
2022-08-26 10:52:44	ga_s2bm_ard_3-2-1_53KKU_2022-08-26_final.stac-item
2022-08-26 10:52:45	ga_s2bm_ard_3-2-1_52KHD_2022-08-26_final.stac-item
2022-08-26 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2022-08-26_final.stac-item
2022-08-26 10:52:59	ga_s2bm_ard_3-2-1_52KHC_2022-08-26_final.stac-item
2022-08-26 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2022-08-26_final.stac-item
2022-08-26 10:53:14	ga_s2bm_ard_3-2-1_52KHB_2022-08-26_final.stac-item
2022-08-26 10:53:28	ga_s2bm_ard_3-2-1_53KKR_2022-08-26_final.stac-item
2022-08-26 10:53:28	ga_s2bm_ard_3-2-1_52KHA_2022-08-26_final.stac-item
2022-08-26 10:53:43	ga_s2bm_ard_3-2-1_53KKQ_2022-08-26_final.stac-item
2022-08-26 10:53:43	ga_s2bm_ard_3-2-1_52KHV_2022-08-26_final.stac-item
2022-08-26 10:53:57	ga_s2bm_ard_3-2-1_53KKP_2022-08-26_final.stac-item
2022-08-26 10:53:57	ga_s2bm_ard_3-2-1_52KHU_2022-08-26_final.stac-item
2022-08-26 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2022-08-26_final.stac-item
2022-08-26 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2022-08-26_final.stac-item
2022-08-26 10:54:26	ga_s2bm_ard_3-2-1_52JHS_2022-08-26_final.stac-item
2022-08-26 10:54:26	ga_s2bm_ard_3-2-1_53JKM_2022-08-26_final.stac-item
2022-08-26 10:54:41	ga_s2bm_ard_3-2-1_53JKL_2022-08-26_final.stac-item
2022-08-26 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-08-26_final.stac-item
2022-08-26 10:55:10	ga_s2bm_ard_3-2-1_53JKJ_2022-08-26_final.stac-item
2022-08-26 10:55:20	ga_s2bm_ard_3-2-1_53JKH_2022-08-26_final.stac-item
2023-01-13 10:52:25	ga_s2bm_ard_3-2-1_53KKV_2023-01-13_final.stac-item
2023-01-13 10:52:26	ga_s2bm_ard_3-2-1_52KHE_2023-01-13_final.stac-item
2023-01-13 10:52:40	ga_s2bm_ard_3-2-1_53KKU_2023-01-13_final.stac-item
2023-01-13 10:52:40	ga_s2bm_ard_3-2-1_52KHD_2023-01-13_final.stac-item
2023-01-13 10:52:54	ga_s2bm_ard_3-2-1_53KKT_2023-01-13_final.stac-item
2023-01-13 10:52:55	ga_s2bm_ard_3-2-1_52KHC_2023-01-13_final.stac-item
2023-01-13 10:53:09	ga_s2bm_ard_3-2-1_53KKS_2023-01-13_final.stac-item
2023-01-13 10:53:09	ga_s2bm_ard_3-2-1_52KHB_2023-01-13_final.stac-item
2023-01-13 10:53:23	ga_s2bm_ard_3-2-1_53KKR_2023-01-13_final.stac-item
2023-01-13 10:53:24	ga_s2bm_ard_3-2-1_52KHA_2023-01-13_final.stac-item
2023-01-13 10:54:51	ga_s2bm_ard_3-2-1_53JKK_2023-01-13_final.stac-item
2023-01-13 10:55:05	ga_s2bm_ard_3-2-1_53JKJ_2023-01-13_final.stac-item
2023-01-13 10:55:20	ga_s2bm_ard_3-2-1_53JKH_2023-01-13_final.stac-item
2023-01-13 10:55:34	ga_s2bm_ard_3-2-1_53JKG_2023-01-13_final.stac-item
2023-01-16 11:01:23	ga_s2bm_ard_3-2-1_53LKD_2023-01-16_final.stac-item
2023-01-16 11:01:25	ga_s2bm_ard_3-2-1_52LHJ_2023-01-16_final.stac-item
2023-01-16 11:01:38	ga_s2bm_ard_3-2-1_53LKC_2023-01-16_final.stac-item
2023-01-16 11:01:39	ga_s2bm_ard_3-2-1_52LHH_2023-01-16_final.stac-item
2023-01-16 11:01:52	ga_s2bm_ard_3-2-1_53KKB_2023-01-16_final.stac-item
2023-01-16 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2023-01-16_final.stac-item
2023-01-16 11:02:07	ga_s2bm_ard_3-2-1_53KKA_2023-01-16_final.stac-item
2023-01-16 11:02:08	ga_s2bm_ard_3-2-1_52KHF_2023-01-16_final.stac-item
2023-01-16 11:02:21	ga_s2bm_ard_3-2-1_53KKV_2023-01-16_final.stac-item
2023-01-16 11:02:22	ga_s2bm_ard_3-2-1_52KHE_2023-01-16_final.stac-item
2023-01-16 11:02:32	ga_s2bm_ard_3-2-1_53KKU_2023-01-16_final.stac-item
2023-01-16 11:02:32	ga_s2bm_ard_3-2-1_52KHD_2023-01-16_final.stac-item
2023-01-16 11:02:39	ga_s2bm_ard_3-2-1_53KKU_2023-01-16_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years