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
2017-09-19 11:55:56	ga_s2bm_ard_3-2-1_50JKM_2017-09-19_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50KRD_2017-10-06_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50KRC_2017-11-15_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KVT_2018-02-23_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMJ_2018-02-26_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVS_2018-03-05_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGK_2018-03-14_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KTU_2018-04-14_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVU_2018-05-24_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNL_2018-06-06_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUU_2018-06-23_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KVS_2018-06-23_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVS_2018-07-13_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVT_2018-08-22_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMJ_2018-10-01_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final.stac-item
2019-01-29 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-29_final.stac-item
2019-03-27 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-03-27_final.stac-item
2019-04-19 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2019-04-19_final.stac-item
2019-10-22 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-22_final.stac-item
2019-11-15 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2019-11-15_final.stac-item
2019-11-25 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2019-11-25_final.stac-item
2019-12-18 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-18_final.stac-item
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final.stac-item
2020-01-14 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2020-01-14_final.stac-item
2020-01-24 11:42:50	ga_s2bm_ard_3-2-1_51KVU_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
2020-03-27 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-27_final.stac-item
2020-04-29 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-29_final.stac-item
2020-05-23 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2020-05-23_final.stac-item
2020-06-12 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-06-12_final.stac-item
2020-07-22 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-07-22_final.stac-item
2020-09-13 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-09-13_final.stac-item
2020-09-24 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2020-09-24_final.stac-item
2020-11-02 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2020-11-02_final.stac-item
2020-11-19 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-11-19_final.stac-item
2020-11-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-11-29_final.stac-item
2020-11-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2020-11-29_final.stac-item
2020-12-19 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2020-12-19_final.stac-item
2021-02-07 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-02-07_final.stac-item
2021-03-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-03-09_final.stac-item
2021-03-09 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-03-09_final.stac-item
2021-03-26 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-03-26_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-03-29_final.stac-item
2021-04-05 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-04-05_final.stac-item
2021-04-24 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-04-24_final.stac-item
2021-05-05 11:33:06	ga_s2bm_ard_3-2-1_51KVT_2021-05-05_final.stac-item
2021-05-18 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2021-05-18_final
2021-05-22 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-05-22_final.stac-item
2021-06-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-03_final.stac-item
2021-06-14 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-06-14_final.stac-item
2021-07-20 11:55:18	ga_s2bm_ard_3-2-1_50JPQ_2021-07-20_final.stac-item
2021-08-15 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-08-15_final.stac-item
2021-09-19 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2021-09-19_final.stac-item
2021-10-02 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2021-10-02_final.stac-item
2021-10-21 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-10-21_final.stac-item
2021-11-04 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-11-04_final.stac-item
2021-11-04 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-11-04_final.stac-item
2022-02-08 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2022-02-08_final.stac-item
2022-02-12 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2022-02-12_final.stac-item
2022-03-04 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2022-03-04_final.stac-item
2022-03-14 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2022-03-14_final.stac-item
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final.stac-item
2022-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2022-04-10_final.stac-item
2022-04-13 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-04-13_final.stac-item
2022-04-26 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2022-04-26_final.stac-item
2022-05-27 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2022-05-27_final.stac-item
2022-05-29 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final.stac-item
2022-06-28 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final.stac-item
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final.stac-item
2022-10-07 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-10-07_final.stac-item
2022-10-17 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-17_final.stac-item
2022-10-26 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2022-10-26_final.stac-item
2022-12-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-12-02_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2023-01-19 12:50:56	ga_s2bm_ard_3-2-1_48LXP_2023-01-19_interim
2023-01-28 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2023-01-28_final.stac-item
2023-02-03 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-02-03_final.stac-item
2023-02-04 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-02-04_final.stac-item
2023-02-07 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-02-07_final
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final
2023-04-24 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final
2023-06-24 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-24_final
2023-07-01 11:25:44	ga_s2bm_ard_3-2-1_51JXH_2023-07-01_final
2023-07-04 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2023-07-04_final
2023-07-14 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-07-14_final
2023-08-07 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-08-07_final
2023-08-16 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-08-16_final
2023-08-26 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-08-26_final
2023-12-07 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-12-07_final
2023-12-23 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-23_final
2023-12-24 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2023-12-24_final
2024-01-14 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2024-01-14_final
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final
2024-02-18 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2024-02-18_final
2024-02-19 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2024-02-19_final
2024-03-23 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-03-23_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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