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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JNL_2017-07-31_final.stac-item
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KXR_2017-09-03_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JUG_2017-09-30_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVT_2017-11-05_final.stac-item
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52KEA_2018-02-24_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HLH_2018-03-15_final.stac-item
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52KDA_2018-04-15_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KWR_2018-04-21_final.stac-item
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_50KKB_2018-05-03_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGK_2018-06-22_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWR_2018-06-30_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_52KBC_2018-07-07_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KVT_2018-09-01_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KDV_2018-10-09_final.stac-item
2018-11-11 11:13:16	ga_s2bm_ard_3-2-1_52KDB_2018-11-11_final.stac-item
2018-11-17 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2018-11-17_final.stac-item
2018-12-11 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2018-12-11_final.stac-item
2019-01-19 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2019-01-19_final.stac-item
2019-01-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2019-01-23_final.stac-item
2019-02-09 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2019-02-09_final.stac-item
2019-03-04 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2019-03-04_final.stac-item
2019-03-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-03-06_final.stac-item
2019-04-16 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2019-04-16_final.stac-item
2019-05-30 11:13:30	ga_s2bm_ard_3-2-1_52KCB_2019-05-30_final.stac-item
2019-06-05 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-06-05_final.stac-item
2019-07-12 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-07-12_final.stac-item
2019-07-19 11:13:31	ga_s2bm_ard_3-2-1_52KCB_2019-07-19_final.stac-item
2019-07-29 11:15:30	ga_s2bm_ard_3-2-1_52JBP_2019-07-29_final.stac-item
2019-08-04 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-08-04_final.stac-item
2019-08-14 11:34:03	ga_s2bm_ard_3-2-1_51KWQ_2019-08-14_final.stac-item
2019-08-25 11:05:52	ga_s2bm_ard_3-2-1_52JDM_2019-08-25_final.stac-item
2019-09-27 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2019-09-27_final.stac-item
2019-10-26 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2019-10-26_final.stac-item
2020-01-01 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-01-01_final.stac-item
2020-01-11 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-01-11_final.stac-item
2020-02-10 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-02-10_final.stac-item
2020-02-13 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2020-02-13_final.stac-item
2020-03-01 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-03-01_final.stac-item
2020-04-10 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2020-04-10_final.stac-item
2020-05-14 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2020-05-14_final.stac-item
2020-05-20 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2020-05-20_final.stac-item
2020-05-21 11:05:31	ga_s2bm_ard_3-2-1_52JEN_2020-05-21_final.stac-item
2020-06-06 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-06-06_final.stac-item
2020-08-08 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2020-08-08_final.stac-item
2020-08-21 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-21_final.stac-item
2020-09-25 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2020-09-25_final.stac-item
2020-10-30 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-10-30_final.stac-item
2020-11-13 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-11-13_final.stac-item
2020-12-12 11:53:28	ga_s2bm_ard_3-2-1_50KMC_2020-12-12_final.stac-item
2021-01-25 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2021-01-25_final.stac-item
2021-04-09 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2021-04-09_final.stac-item
2021-04-19 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2021-04-19_final.stac-item
2021-04-29 11:15:17	ga_s2bm_ard_3-2-1_52JBP_2021-04-29_final.stac-item
2021-05-03 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2021-05-03_final.stac-item
2021-05-25 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-05-25_final.stac-item
2021-06-02 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2021-06-02_final.stac-item
2021-06-11 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2021-06-11_final.stac-item
2021-07-13 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2021-07-13_final.stac-item
2021-07-24 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-07-24_final.stac-item
2021-07-31 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2021-07-31_final.stac-item
2021-08-13 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-08-13_final.stac-item
2021-08-26 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2021-08-26_final.stac-item
2021-10-02 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2021-10-02_final.stac-item
2021-10-10 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2021-10-10_final.stac-item
2021-12-07 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2021-12-07_final.stac-item
2021-12-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2021-12-24_final.stac-item
2022-02-14 10:45:41	ga_s2bm_ard_3-2-1_52JGM_2022-02-14_final.stac-item
2022-04-04 11:13:10	ga_s2bm_ard_3-2-1_52KBC_2022-04-04_final.stac-item
2022-05-18 10:54:29	ga_s2bm_ard_3-2-1_52JGS_2022-05-18_final.stac-item
2022-05-27 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2022-05-27_final.stac-item
2022-06-16 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2022-06-16_final.stac-item
2022-06-19 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2022-06-19_final.stac-item
2022-07-23 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2022-07-23_final.stac-item
2022-08-22 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2022-08-22_final.stac-item
2022-09-18 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2022-09-18_final.stac-item
2022-10-21 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2022-10-21_final.stac-item
2022-11-16 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-11-16_final.stac-item
2022-12-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-12-26_final.stac-item
2023-02-01 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2023-02-01_final.stac-item
2023-03-03 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-03-03_final
2023-03-12 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-03-12_final
2023-03-17 11:03:57	ga_s2bm_ard_3-2-1_52KDV_2023-03-17_final
2023-04-02 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2023-04-02_final
2023-04-18 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-04-18_final
2023-04-19 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-04-19_final
2023-07-28 11:13:42	ga_s2bm_ard_3-2-1_52KCA_2023-07-28_final
2023-08-03 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-08-03_final
2023-08-24 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-08-24_final
2023-09-15 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-09-15_final
2023-09-19 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-19_final
2023-11-05 11:13:43	ga_s2bm_ard_3-2-1_51KZR_2023-11-05_final
2023-11-28 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2023-11-28_final
2023-12-25 11:13:20	ga_s2bm_ard_3-2-1_52KDB_2023-12-25_final
2024-01-10 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-01-10_final
2024-02-12 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-02-12_final
2024-03-13 11:45:43	ga_s2bm_ard_3-2-1_50JQN_2024-03-13_final
2024-03-17 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2024-03-17_final
2024-03-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-20_final
2024-03-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2024-03-23_final
2024-03-30 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2024-03-30_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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