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
2017-12-13 10:57:04	ga_s2bm_ard_3-2-1_52JBM_2017-12-13_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-01-13_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXT_2018-01-28_final.stac-item
2018-02-25 10:42:58	ga_s2bm_ard_3-2-1_52JGM_2018-02-25_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_51HXD_2018-03-06_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JVJ_2018-04-21_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KMC_2018-05-10_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWT_2018-06-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KVT_2018-07-23_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-08_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HWD_2018-10-15_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HPJ_2018-10-21_final.stac-item
2018-11-09 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-09_final.stac-item
2018-12-16 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2018-12-16_final.stac-item
2019-01-05 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2019-01-05_final.stac-item
2019-01-08 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2019-01-08_final.stac-item
2019-01-16 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2019-01-16_final.stac-item
2019-02-05 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-05_final.stac-item
2019-03-23 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-03-23_final.stac-item
2019-03-26 12:03:56	ga_s2bm_ard_3-2-1_50KLA_2019-03-26_final.stac-item
2019-04-19 11:45:56	ga_s2bm_ard_3-2-1_50JPN_2019-04-19_final.stac-item
2019-05-26 11:34:50	ga_s2bm_ard_3-2-1_51JWM_2019-05-26_final.stac-item
2019-06-03 10:55:21	ga_s2bm_ard_3-2-1_52JGP_2019-06-03_final.stac-item
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final.stac-item
2019-06-08 11:44:56	ga_s2bm_ard_3-2-1_50JQS_2019-06-08_final.stac-item
2019-06-21 11:53:29	ga_s2bm_ard_3-2-1_50KPC_2019-06-21_final.stac-item
2019-07-19 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-07-19_final.stac-item
2019-09-03 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2019-09-03_final.stac-item
2019-09-04 11:05:58	ga_s2bm_ard_3-2-1_52JCM_2019-09-04_final.stac-item
2019-09-26 11:46:26	ga_s2bm_ard_3-2-1_50JML_2019-09-26_final.stac-item
2019-10-16 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2019-10-16_final.stac-item
2019-10-26 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-10-26_final.stac-item
2019-12-16 11:15:42	ga_s2bm_ard_3-2-1_52JCM_2019-12-16_final.stac-item
2020-01-08 11:24:14	ga_s2bm_ard_3-2-1_52JBT_2020-01-08_final.stac-item
2020-02-04 11:16:13	ga_s2bm_ard_3-2-1_52HBK_2020-02-04_final.stac-item
2020-03-14 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2020-03-14_final.stac-item
2020-03-18 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2020-03-18_final.stac-item
2020-03-21 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2020-03-21_final.stac-item
2020-03-21 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2020-03-21_final.stac-item
2020-04-07 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2020-04-07_final.stac-item
2020-05-06 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2020-05-06_final.stac-item
2020-05-10 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2020-05-10_final.stac-item
2020-05-30 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2020-05-30_final.stac-item
2020-06-26 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-26_final.stac-item
2020-07-19 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-07-19_final.stac-item
2020-08-18 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2020-08-18_final.stac-item
2020-09-07 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-09-07_final.stac-item
2020-11-26 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2020-11-26_final.stac-item
2021-01-02 11:26:13	ga_s2bm_ard_3-2-1_51JVF_2021-01-02_final.stac-item
2021-01-13 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-01-13_final.stac-item
2021-01-16 11:05:52	ga_s2bm_ard_3-2-1_52JCM_2021-01-16_final.stac-item
2021-02-11 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-02-11_final.stac-item
2021-02-15 11:05:06	ga_s2bm_ard_3-2-1_52JCQ_2021-02-15_final.stac-item
2021-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2021-04-11_final.stac-item
2021-04-11 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2021-04-11_final.stac-item
2021-05-05 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2021-05-05_final.stac-item
2021-06-04 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-06-04_final.stac-item
2021-08-20 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2021-08-20_final.stac-item
2021-09-12 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2021-09-12_final.stac-item
2021-09-15 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-09-15_final.stac-item
2021-09-26 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2021-09-26_final.stac-item
2021-10-10 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-10-10_final.stac-item
2021-10-21 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-21_final.stac-item
2021-10-25 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-10-25_final.stac-item
2021-11-01 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-11-01_final.stac-item
2021-11-18 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2021-11-18_final.stac-item
2021-12-24 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-12-24_final.stac-item
2022-01-27 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2022-01-27_final.stac-item
2022-02-13 11:16:31	ga_s2bm_ard_3-2-1_51HYD_2022-02-13_final.stac-item
2022-03-01 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2022-03-01_final.stac-item
2022-04-27 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-04-27_final.stac-item
2022-04-27 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2022-04-27_final.stac-item
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2022-05-23_final.stac-item
2022-05-29 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-05-29_final.stac-item
2022-06-09 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2022-06-09_final.stac-item
2022-06-15 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2022-06-15_final.stac-item
2022-08-28 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2022-08-28_final.stac-item
2022-09-07 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-09-07_final.stac-item
2022-09-08 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2022-09-08_final.stac-item
2022-11-17 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2022-11-17_final.stac-item
2022-12-23 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2022-12-23_final.stac-item
2023-02-20 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-02-20_nrt.stac-item
2023-03-25 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-03-25_final
2023-04-09 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-09_final
2023-04-09 11:14:58	ga_s2bm_ard_3-2-1_51JYL_2023-04-09_final
2023-04-09 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2023-04-09_final
2023-05-31 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-05-31_final
2023-05-31 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-05-31_final
2023-05-31 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2023-05-31_final
2023-07-27 11:46:11	ga_s2bm_ard_3-2-1_50JPM_2023-07-27_final
2023-09-18 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2023-09-18_final
2023-10-02 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2023-10-02_final
2023-10-21 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-21_final
2024-01-14 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2024-01-14_final
2024-02-29 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2024-02-29_final
2024-03-03 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2024-03-03_final
2024-03-04 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2024-03-04_final
2024-03-10 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2024-03-10_final
2024-03-24 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2024-03-24_final
2024-04-05 11:57:15	ga_s2bm_ard_3-2-1_49HGC_2024-04-05_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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