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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KKU_2017-08-13_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZU_2017-11-19_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51LXC_2018-01-31_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQJ_2018-02-10_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVB_2018-02-20_final.stac-item
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JYH_2018-02-24_final.stac-item
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51HYD_2018-03-16_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HUD_2018-04-28_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLM_2018-08-05_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JNS_2018-08-15_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JKN_2018-09-04_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUC_2018-09-18_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLR_2018-10-04_final.stac-item
2018-11-27 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2018-11-27_final.stac-item
2018-11-30 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2018-11-30_final.stac-item
2018-12-16 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2018-12-16_final.stac-item
2019-01-28 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-01-28_final.stac-item
2019-03-14 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2019-03-14_final.stac-item
2019-03-21 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2019-03-21_final.stac-item
2019-03-23 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-03-23_final.stac-item
2019-04-12 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-04-12_final.stac-item
2019-04-19 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2019-04-19_final.stac-item
2019-04-30 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-04-30_final.stac-item
2019-05-05 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2019-05-05_final.stac-item
2019-05-20 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-05-20_final.stac-item
2019-11-02 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-11-02_final.stac-item
2019-11-15 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-11-15_final.stac-item
2019-12-29 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2019-12-29_final.stac-item
2020-01-08 11:21:48	ga_s2bm_ard_3-2-1_51LYC_2020-01-08_final.stac-item
2020-01-08 11:22:36	ga_s2bm_ard_3-2-1_51KYV_2020-01-08_final.stac-item
2020-01-08 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2020-01-08_final.stac-item
2020-04-27 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2020-04-27_final.stac-item
2020-05-27 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2020-05-27_final.stac-item
2020-05-30 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-05-30_final.stac-item
2020-06-28 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-06-28_final.stac-item
2020-06-29 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2020-06-29_final.stac-item
2020-07-26 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-07-26_final.stac-item
2020-10-14 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-10-14_final.stac-item
2020-11-15 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2020-11-15_final.stac-item
2020-12-06 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2020-12-06_final.stac-item
2021-01-02 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-01-02_final.stac-item
2021-01-28 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2021-01-28_final.stac-item
2021-01-29 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2021-01-29_final.stac-item
2021-03-02 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2021-03-02_final.stac-item
2021-03-12 11:53:59	ga_s2bm_ard_3-2-1_50KNA_2021-03-12_final.stac-item
2021-03-12 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2021-03-12_final.stac-item
2021-03-12 11:56:21	ga_s2bm_ard_3-2-1_50JML_2021-03-12_final.stac-item
2021-03-16 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-03-16_final.stac-item
2021-03-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-03-19_final.stac-item
2021-03-20 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2021-03-20_final.stac-item
2021-04-18 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-04-18_final.stac-item
2021-05-25 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2021-05-25_final.stac-item
2021-06-10 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-06-10_final.stac-item
2021-06-24 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2021-06-24_final.stac-item
2021-07-17 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2021-07-17_final.stac-item
2021-07-17 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-17_final.stac-item
2021-11-21 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2021-11-21_final.stac-item
2021-11-22 11:06:03	ga_s2bm_ard_3-2-1_52JCL_2021-11-22_final.stac-item
2021-11-30 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2021-11-30_final.stac-item
2022-01-27 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2022-01-27_final.stac-item
2022-02-03 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2022-02-03_final.stac-item
2022-02-12 11:46:02	ga_s2bm_ard_3-2-1_50JNM_2022-02-12_final.stac-item
2022-03-28 11:25:28	ga_s2bm_ard_3-2-1_51JVJ_2022-03-28_final.stac-item
2022-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-04-22_final.stac-item
2022-04-24 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2022-04-24_final.stac-item
2022-05-17 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2022-05-17_final.stac-item
2022-05-24 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2022-05-24_final.stac-item
2022-06-12 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2022-06-12_final.stac-item
2022-08-01 11:45:08	ga_s2bm_ard_3-2-1_50JQR_2022-08-01_final.stac-item
2022-08-11 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2022-08-11_final.stac-item
2022-09-30 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-09-30_final.stac-item
2022-10-07 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-10-07_final.stac-item
2022-10-26 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-10-26_final.stac-item
2022-11-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-11-26_final.stac-item
2023-01-02 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2023-01-02_final.stac-item
2023-01-05 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-01-05_final.stac-item
2023-02-01 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2023-02-01_final.stac-item
2023-03-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-03-06_final
2023-03-28 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-28_final
2023-04-15 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-04-15_nrt
2023-04-25 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2023-04-25_final
2023-04-28 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2023-04-28_final
2023-05-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-05-05_final
2023-05-08 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-05-08_final
2023-06-20 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-06-20_final
2023-08-02 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-08-02_final
2023-08-02 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-02_final
2023-08-07 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-08-07_nrt
2023-08-16 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2023-08-16_final
2023-09-22 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-09-22_final
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-01_final
2023-11-11 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-11-11_final
2023-11-23 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2023-11-23_final
2024-01-10 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2024-01-10_final
2024-01-10 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2024-01-10_final
2024-02-05 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2024-02-05_final
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_final
2024-03-10 11:32:07	ga_s2bm_ard_3-2-1_51KXB_2024-03-10_final
2024-03-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-03-20_final
2024-04-11 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2024-04-11_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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