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
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXP_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXU_2018-01-11_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HUD_2018-01-28_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HUC_2018-03-02_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXU_2018-05-28_final.stac-item
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JEL_2018-06-08_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBC_2018-06-17_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JML_2018-07-16_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KWQ_2018-07-17_final.stac-item
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JDT_2018-07-31_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNJ_2018-09-11_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUV_2018-10-11_final.stac-item
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52JGL_2018-10-16_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLH_2018-10-24_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JFT_2018-11-05_final.stac-item
2018-11-10 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-11-10_final.stac-item
2019-03-21 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2019-03-21_final.stac-item
2019-03-21 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2019-03-21_final.stac-item
2019-04-06 11:31:52	ga_s2bm_ard_3-2-1_51LZC_2019-04-06_final.stac-item
2019-05-16 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-16_final.stac-item
2019-07-25 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-07-25_final.stac-item
2019-08-14 11:35:33	ga_s2bm_ard_3-2-1_51JVJ_2019-08-14_final.stac-item
2019-09-05 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2019-09-05_final.stac-item
2019-09-24 11:03:13	ga_s2bm_ard_3-2-1_52KGB_2019-09-24_final.stac-item
2019-10-12 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2019-10-12_final.stac-item
2019-10-20 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2019-10-20_final.stac-item
2020-02-01 11:02:55	ga_s2bm_ard_3-2-1_52KFC_2020-02-01_final.stac-item
2020-02-11 11:05:32	ga_s2bm_ard_3-2-1_52JCN_2020-02-11_final.stac-item
2020-04-13 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2020-04-13_final.stac-item
2020-04-20 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-04-20_final.stac-item
2020-06-15 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-06-15_final.stac-item
2020-11-10 11:14:07	ga_s2bm_ard_3-2-1_52KCU_2020-11-10_final.stac-item
2020-12-03 11:24:03	ga_s2bm_ard_3-2-1_52KBU_2020-12-03_final.stac-item
2020-12-09 11:43:45	ga_s2bm_ard_3-2-1_50KRA_2020-12-09_final.stac-item
2020-12-27 11:06:34	ga_s2bm_ard_3-2-1_51HYD_2020-12-27_final.stac-item
2021-01-13 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2021-01-13_final.stac-item
2021-01-22 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2021-01-22_final.stac-item
2021-02-10 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-02-10_final.stac-item
2021-02-14 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2021-02-14_final.stac-item
2021-02-18 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-02-18_final.stac-item
2021-03-20 11:12:41	ga_s2bm_ard_3-2-1_52KFD_2021-03-20_final.stac-item
2021-04-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-04-08_final.stac-item
2021-05-04 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-05-04_final.stac-item
2021-06-04 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-06-04_final.stac-item
2021-06-24 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-06-24_final.stac-item
2021-06-24 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-06-24_final.stac-item
2021-06-28 11:13:05	ga_s2bm_ard_3-2-1_52KDC_2021-06-28_final.stac-item
2021-08-03 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2021-08-03_final.stac-item
2021-08-26 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-08-26_final.stac-item
2021-08-29 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-08-29_final.stac-item
2021-10-01 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2021-10-01_final.stac-item
2021-10-09 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-10-09_final.stac-item
2021-10-10 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2021-10-10_final.stac-item
2021-11-01 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-11-01_final.stac-item
2021-11-05 11:16:03	ga_s2bm_ard_3-2-1_52JCL_2021-11-05_final.stac-item
2022-01-30 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2022-01-30_final.stac-item
2022-02-12 11:43:52	ga_s2bm_ard_3-2-1_51KUQ_2022-02-12_final.stac-item
2022-03-28 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2022-03-28_final.stac-item
2022-04-03 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-04-03_final.stac-item
2022-04-07 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2022-04-07_final.stac-item
2022-04-27 11:24:44	ga_s2bm_ard_3-2-1_51JYL_2022-04-27_final.stac-item
2022-05-30 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2022-05-30_final.stac-item
2022-06-08 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-06-08_final.stac-item
2022-06-16 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2022-06-16_final.stac-item
2022-06-19 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2022-06-19_final.stac-item
2022-09-07 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2022-09-07_final.stac-item
2022-10-04 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2022-10-04_final.stac-item
2022-11-19 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-11-19_final.stac-item
2022-12-06 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-12-06_final.stac-item
2022-12-16 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2022-12-16_final.stac-item
2022-12-17 11:04:23	ga_s2bm_ard_3-2-1_52JGS_2022-12-17_final.stac-item
2022-12-23 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2022-12-23_final.stac-item
2023-01-18 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-18_final.stac-item
2023-01-18 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-18_final.stac-item
2023-02-25 11:02:16	ga_s2bm_ard_3-2-1_52KGF_2023-02-25_final
2023-04-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-04-08_final
2023-04-22 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2023-04-22_final
2023-06-11 11:21:16	ga_s2bm_ard_3-2-1_51LZF_2023-06-11_nrt
2023-06-28 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2023-06-28_final
2023-07-01 11:22:04	ga_s2bm_ard_3-2-1_51LYC_2023-07-01_final
2023-07-04 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-04_final
2023-08-10 11:25:44	ga_s2bm_ard_3-2-1_51JXH_2023-08-10_final
2023-08-16 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-08-16_final
2023-09-03 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2023-09-03_final
2023-09-05 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-09-05_final
2023-11-05 11:16:37	ga_s2bm_ard_3-2-1_52HBJ_2023-11-05_nrt
2023-11-22 11:02:25	ga_s2bm_ard_3-2-1_52KGE_2023-11-22_final
2023-12-08 11:24:29	ga_s2bm_ard_3-2-1_52JBS_2023-12-08_final
2023-12-18 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2023-12-18_final
2024-01-21 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2024-01-21_final
2024-01-21 11:03:30	ga_s2bm_ard_3-2-1_52KFA_2024-01-21_final
2024-02-09 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2024-02-09_final
2024-02-26 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2024-02-26_final
2024-03-01 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2024-03-01_final
2024-03-03 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2024-03-03_final
2024-03-11 11:04:17	ga_s2bm_ard_3-2-1_52JDT_2024-03-11_final
2024-03-21 11:02:59	ga_s2bm_ard_3-2-1_52KFC_2024-03-21_final
2024-03-24 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-03-24_final
2024-03-24 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2024-03-24_final
2024-04-19 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2024-04-19_nrt

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

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