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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HQH_2017-07-05_final.stac-item
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JKM_2017-08-30_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JKP_2017-11-28_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KXQ_2017-12-29_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYV_2017-12-29_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50JQN_2018-01-14_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JKN_2018-01-17_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51HYD_2018-01-25_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JUK_2018-01-31_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUF_2018-02-20_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JRS_2018-03-05_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JML_2018-03-15_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_50KKB_2018-03-24_final.stac-item
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYA_2018-03-29_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVB_2018-04-01_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2018-04-18_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUE_2018-08-09_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JUF_2018-08-29_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HTD_2018-10-08_final.stac-item
2018-12-17 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2018-12-17_final.stac-item
2019-01-26 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2019-01-26_final.stac-item
2019-03-03 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2019-03-03_final.stac-item
2019-03-18 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2019-03-18_final.stac-item
2019-03-24 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2019-03-24_final.stac-item
2019-04-09 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2019-04-09_final.stac-item
2019-04-12 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-04-12_final.stac-item
2019-05-23 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-05-23_final.stac-item
2019-05-26 11:35:10	ga_s2bm_ard_3-2-1_51JUL_2019-05-26_final.stac-item
2019-06-08 11:45:00	ga_s2bm_ard_3-2-1_50JPS_2019-06-08_final.stac-item
2019-07-12 11:24:38	ga_s2bm_ard_3-2-1_51JWN_2019-07-12_final.stac-item
2019-09-17 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-09-17_final.stac-item
2019-09-23 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2019-09-23_final.stac-item
2020-02-29 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2020-02-29_final.stac-item
2020-03-14 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2020-03-14_final.stac-item
2020-04-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2020-04-13_final.stac-item
2020-04-20 11:34:49	ga_s2bm_ard_3-2-1_51JWL_2020-04-20_final.stac-item
2020-05-17 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2020-05-17_final.stac-item
2020-05-20 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2020-05-20_final.stac-item
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final.stac-item
2020-07-19 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2020-07-19_final.stac-item
2020-08-07 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-07_final.stac-item
2020-09-16 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2020-09-16_final.stac-item
2020-10-06 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-06_final.stac-item
2020-10-07 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-10-07_final.stac-item
2020-10-16 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-16_final.stac-item
2020-11-06 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-11-06_final.stac-item
2020-12-09 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-09_final.stac-item
2021-01-02 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2021-01-02_final.stac-item
2021-01-08 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-01-08_final.stac-item
2021-02-01 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-02-01_final.stac-item
2021-03-13 11:26:04	ga_s2bm_ard_3-2-1_51JUG_2021-03-13_final.stac-item
2021-03-23 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2021-03-23_final.stac-item
2021-04-15 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2021-04-15_final.stac-item
2021-06-01 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-06-01_final.stac-item
2021-06-20 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-06-20_final.stac-item
2021-06-27 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-06-27_final.stac-item
2021-06-27 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2021-06-27_final.stac-item
2021-10-01 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-10-01_final.stac-item
2021-12-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2021-12-17_final.stac-item
2022-01-30 11:31:43	ga_s2bm_ard_3-2-1_51LZC_2022-01-30_final.stac-item
2022-01-30 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2022-01-30_final.stac-item
2022-03-13 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-03-13_final.stac-item
2022-03-31 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2022-03-31_final.stac-item
2022-04-24 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2022-04-24_final.stac-item
2022-05-03 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-05-03_final.stac-item
2022-05-04 11:16:26	ga_s2bm_ard_3-2-1_51HWE_2022-05-04_final.stac-item
2022-06-15 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2022-06-15_final.stac-item
2022-07-19 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2022-07-19_final.stac-item
2022-08-22 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2022-08-22_final.stac-item
2022-10-07 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-10-07_final.stac-item
2022-10-13 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-10-13_interim
2022-10-30 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2022-10-30_final.stac-item
2022-11-23 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2022-11-23_final.stac-item
2022-11-26 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-11-26_final.stac-item
2022-11-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-11-26_final.stac-item
2022-12-22 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-12-22_final.stac-item
2023-01-22 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-01-22_final.stac-item
2023-02-21 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2023-02-21_final
2023-03-30 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2023-03-30_final
2023-04-02 11:23:57	ga_s2bm_ard_3-2-1_51KYQ_2023-04-02_final
2023-04-25 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-04-25_final
2023-04-25 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2023-04-25_final
2023-05-02 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-05-02_final
2023-06-10 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-10_final
2023-06-10 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-06-10_final
2023-07-27 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-27_final
2023-07-27 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2023-07-27_final
2023-08-02 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-02_final
2023-08-03 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2023-08-03_final
2023-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-08-22_final
2023-11-11 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-11-11_final
2023-11-28 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2023-11-28_final
2023-12-31 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2023-12-31_final
2024-01-27 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-01-27_final
2024-03-07 11:24:53	ga_s2bm_ard_3-2-1_51JWL_2024-03-07_final
2024-03-07 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2024-03-07_final
2024-04-13 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2024-04-13_final
2024-05-05 11:57:13	ga_s2bm_ard_3-2-1_50HKH_2024-05-05_nrt
2024-05-23 11:16:20	ga_s2bm_ard_3-2-1_52HBK_2024-05-23_nrt
2024-06-02 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2024-06-02_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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