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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_51HUC_2017-07-25_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_50KKA_2017-08-26_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KNC_2017-12-08_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTT_2017-12-25_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-01-23_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50KMC_2018-03-31_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQK_2018-05-04_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-05-30_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KKA_2018-05-30_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLJ_2018-07-16_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVA_2018-09-11_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JVH_2018-10-05_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLK_2018-10-24_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JMM_2018-10-24_final.stac-item
2018-12-13 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2018-12-13_final.stac-item
2019-03-17 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2019-03-17_final.stac-item
2019-03-27 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2019-03-27_final.stac-item
2019-03-27 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-03-27_final.stac-item
2019-04-13 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2019-04-13_final.stac-item
2019-05-03 11:27:06	ga_s2bm_ard_3-2-1_51HVC_2019-05-03_final.stac-item
2019-06-05 11:32:55	ga_s2bm_ard_3-2-1_51KVV_2019-06-05_final.stac-item
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_50KRC_2019-06-08_final.stac-item
2019-07-02 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-07-02_final.stac-item
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final.stac-item
2019-07-31 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-07-31_final.stac-item
2019-08-23 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2019-08-23_final.stac-item
2019-09-20 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2019-09-20_final.stac-item
2019-09-26 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2019-09-26_final.stac-item
2019-11-08 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-11-08_final.stac-item
2019-11-08 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-11-08_final.stac-item
2019-11-15 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2019-11-15_final.stac-item
2019-11-25 11:46:22	ga_s2bm_ard_3-2-1_50JML_2019-11-25_final.stac-item
2020-01-21 11:33:53	ga_s2bm_ard_3-2-1_51KVQ_2020-01-21_final.stac-item
2020-01-31 11:36:12	ga_s2bm_ard_3-2-1_50JQL_2020-01-31_final.stac-item
2020-02-16 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2020-02-16_final
2020-03-10 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-10_final.stac-item
2020-05-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-05-03_final.stac-item
2020-05-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2020-05-06_final.stac-item
2020-06-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-06-09_final.stac-item
2020-06-28 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-06-28_final.stac-item
2020-09-06 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-09-06_final.stac-item
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-09-19_final.stac-item
2020-09-20 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2020-09-20_final.stac-item
2020-10-10 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-10-10_final.stac-item
2020-10-26 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-26_final.stac-item
2020-12-13 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2020-12-13_final.stac-item
2020-12-16 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2020-12-16_final.stac-item
2020-12-22 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2020-12-22_final.stac-item
2021-01-15 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-01-15_final.stac-item
2021-02-17 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2021-02-17_final.stac-item
2021-02-28 11:16:43	ga_s2bm_ard_3-2-1_51HWD_2021-02-28_final.stac-item
2021-03-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-03_final.stac-item
2021-03-09 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2021-03-09_final.stac-item
2021-06-18 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-06-18_final.stac-item
2021-06-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-27_final.stac-item
2021-09-12 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2021-09-12_final.stac-item
2021-10-11 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2021-10-11_final.stac-item
2021-10-26 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-10-26_final.stac-item
2021-10-29 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-10-29_final.stac-item
2021-11-08 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-11-08_final.stac-item
2021-12-30 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2021-12-30_final.stac-item
2022-03-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2022-03-04_final.stac-item
2022-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-14_final.stac-item
2022-03-20 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-03-20_final.stac-item
2022-04-23 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-04-23_final.stac-item
2022-04-27 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2022-04-27_final.stac-item
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2022-06-18_final.stac-item
2022-07-02 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-07-02_final.stac-item
2022-07-15 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2022-07-15_final.stac-item
2022-08-07 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2022-08-07_final.stac-item
2022-08-31 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2022-08-31_final.stac-item
2022-09-06 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2022-09-06_final.stac-item
2022-09-27 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2022-09-27_final.stac-item
2022-10-21 12:51:00	ga_s2bm_ard_3-2-1_48LWP_2022-10-21_final
2022-11-22 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-11-22_final.stac-item
2023-01-14 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2023-01-14_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-01-21 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2023-01-21_final.stac-item
2023-02-07 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2023-02-07_final
2023-03-30 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2023-03-30_final
2023-04-27 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2023-04-27_final
2023-05-05 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-05-05_final
2023-05-14 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-05-14_final
2023-05-18 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-05-18_final
2023-06-18 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-06-18_final
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final
2023-08-26 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2023-08-26_final
2023-10-22 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2023-10-22_final
2023-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-22_final
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final
2023-11-21 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-11-21_final
2024-01-03 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-01-03_final
2024-01-06 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2024-01-06_final
2024-01-09 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-01-09_final
2024-02-12 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-02-12_final
2024-02-29 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2024-02-29_final
2024-03-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-03-03_final
2024-03-06 11:55:15	ga_s2bm_ard_3-2-1_50JNQ_2024-03-06_final
2024-03-26 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2024-03-26_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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