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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWS_2017-11-12_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JGL_2017-11-24_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVT_2017-12-25_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KVT_2018-03-15_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50HLK_2018-04-17_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNK_2018-04-24_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWR_2018-06-20_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final.stac-item
2018-12-07 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2018-12-07_final.stac-item
2019-01-03 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2019-01-03_final.stac-item
2019-01-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-01-09_final.stac-item
2019-02-15 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-02-15_final.stac-item
2019-05-16 11:36:14	ga_s2bm_ard_3-2-1_50JQM_2019-05-16_final.stac-item
2019-06-28 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-28_final.stac-item
2019-10-03 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final.stac-item
2019-10-06 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-06_final.stac-item
2019-10-26 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2019-10-26_final.stac-item
2019-11-12 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-11-12_final.stac-item
2019-11-15 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-11-15_final.stac-item
2019-12-15 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2019-12-15_final.stac-item
2019-12-15 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2019-12-15_final.stac-item
2019-12-21 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-21_final.stac-item
2020-01-14 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2020-01-14_final.stac-item
2020-01-24 11:43:06	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final.stac-item
2020-01-24 11:43:51	ga_s2bm_ard_3-2-1_51KUQ_2020-01-24_final.stac-item
2020-02-03 11:42:56	ga_s2bm_ard_3-2-1_51KTU_2020-02-03_final.stac-item
2020-02-03 11:43:11	ga_s2bm_ard_3-2-1_51KTT_2020-02-03_final.stac-item
2020-02-10 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-02-10_final.stac-item
2020-02-13 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-02-13_final.stac-item
2020-02-20 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-02-20_final.stac-item
2020-02-26 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-02-26_final.stac-item
2020-03-21 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-03-21_final.stac-item
2020-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-04-09_final.stac-item
2020-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2020-04-10_final.stac-item
2020-04-30 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2020-04-30_final.stac-item
2020-07-16 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2020-07-16_final.stac-item
2020-07-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2020-07-16_final.stac-item
2020-07-21 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-21_final.stac-item
2020-08-10 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-08-10_final.stac-item
2020-09-30 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2020-09-30_final.stac-item
2020-12-16 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-12-16_final.stac-item
2020-12-16 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2020-12-16_final.stac-item
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final.stac-item
2021-02-01 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2021-02-01_final.stac-item
2021-02-04 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-02-04_final.stac-item
2021-02-07 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-02-07_final.stac-item
2021-02-14 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2021-02-14_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final.stac-item
2021-03-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-03-26_final.stac-item
2021-04-21 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2021-04-21_final.stac-item
2021-05-22 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2021-05-22_final
2021-06-10 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-10_final.stac-item
2021-06-24 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-06-24_final.stac-item
2021-07-04 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2021-07-04_final.stac-item
2021-08-06 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-08-06_final.stac-item
2021-08-06 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-08-06_final.stac-item
2021-08-10 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-08-10_final.stac-item
2021-09-15 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-09-15_final.stac-item
2021-10-12 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-10-12_final.stac-item
2021-11-21 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2021-11-21_final.stac-item
2021-12-21 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-21_final.stac-item
2022-01-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-01-13_final.stac-item
2022-01-27 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2022-01-27_final.stac-item
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final.stac-item
2022-02-02 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-02-02_final.stac-item
2022-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2022-03-14_final.stac-item
2022-04-17 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2022-04-17_final.stac-item
2022-05-03 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-05-03_final.stac-item
2022-05-13 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2022-05-13_final.stac-item
2022-06-05 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-06-05_final.stac-item
2022-06-12 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2022-06-12_final.stac-item
2022-06-18 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2022-06-18_final.stac-item
2022-06-22 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-06-22_final.stac-item
2022-07-06 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2022-07-06_final.stac-item
2022-07-22 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2022-07-22_final
2022-09-04 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2022-09-04_final.stac-item
2022-10-07 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2022-10-07_final.stac-item
2022-10-24 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-10-24_final.stac-item
2022-11-29 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-11-29_final.stac-item
2023-01-22 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2023-01-22_final.stac-item
2023-01-25 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-01-25_final.stac-item
2023-03-09 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2023-03-09_final
2023-03-09 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-03-09_final
2023-04-21 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-21_final
2023-05-18 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-05-18_final
2023-06-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-06-10_final
2023-07-20 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-07-20_final
2023-07-27 11:46:29	ga_s2bm_ard_3-2-1_50JNL_2023-07-27_final
2023-10-19 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-10-19_final
2023-11-18 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-11-18_final
2023-11-21 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-11-21_final
2023-12-01 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-12-01_final
2023-12-24 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-12-24_final
2023-12-27 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-12-27_final
2024-01-02 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-01-02_final
2024-01-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-16_final
2024-03-30 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2024-03-30_final
2024-04-26 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2024-04-26_final
2024-05-08 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-05-08_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

All years