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_51KWU_2017-07-05_final.stac-item
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JFM_2017-07-14_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2017-09-02_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPL_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JQN_2017-09-16_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51JTH_2017-09-16_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-09-22_final.stac-item
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51JUF_2017-09-23_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HWD_2017-09-30_final.stac-item
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JVG_2017-09-30_final.stac-item
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JVF_2017-11-09_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KMC_2018-01-07_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51JUF_2018-01-18_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-01-20_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMK_2018-02-03_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51LUF_2018-02-13_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMJ_2018-04-27_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMN_2018-04-27_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYU_2018-04-28_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_51JTF_2018-05-04_final.stac-item
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KYR_2018-05-08_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KNC_2018-05-10_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HPK_2018-05-11_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_50HQK_2018-05-11_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXS_2018-05-11_final.stac-item
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KYU_2018-05-18_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-05-20_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXT_2018-05-21_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXU_2018-05-21_final.stac-item
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_50KKA_2018-05-23_final.stac-item
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGL_2018-06-02_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-20_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXT_2018-07-30_final.stac-item
2019-01-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-19_final.stac-item
2019-03-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-03-03_final.stac-item
2019-05-23 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-05-23_final.stac-item
2019-06-14 12:05:04	ga_s2bm_ard_3-2-1_50JKS_2019-06-14_final.stac-item
2019-06-22 11:23:29	ga_s2bm_ard_3-2-1_51KZS_2019-06-22_final.stac-item
2019-07-12 11:23:34	ga_s2bm_ard_3-2-1_51KYS_2019-07-12_final.stac-item
2019-07-19 11:13:37	ga_s2bm_ard_3-2-1_51KZS_2019-07-19_final.stac-item
2019-07-19 11:13:49	ga_s2bm_ard_3-2-1_51KZR_2019-07-19_final.stac-item
2019-08-01 11:24:05	ga_s2bm_ard_3-2-1_51KXQ_2019-08-01_final.stac-item
2019-11-12 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2019-11-12_final.stac-item
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final.stac-item
2020-02-03 11:41:26	ga_s2bm_ard_3-2-1_51LUE_2020-02-03_final.stac-item
2020-02-16 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-02-16_final.stac-item
2020-02-27 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2020-02-27_final.stac-item
2020-03-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-01_final.stac-item
2020-05-17 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2020-05-17_final.stac-item
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final.stac-item
2020-06-16 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2020-06-16_final.stac-item
2020-11-13 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2020-11-13_final.stac-item
2021-01-12 11:26:14	ga_s2bm_ard_3-2-1_51JVF_2021-01-12_final.stac-item
2021-01-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-01-18_final.stac-item
2021-01-21 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-01-21_final.stac-item
2021-01-21 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-01-21_final.stac-item
2021-02-04 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2021-02-04_final.stac-item
2021-02-14 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-02-14_final.stac-item
2021-05-09 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2021-05-09_final.stac-item
2021-05-12 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2021-05-12_final
2021-08-02 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-02_final.stac-item
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final.stac-item
2022-02-05 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-02-05_final.stac-item
2022-04-30 11:36:20	ga_s2bm_ard_3-2-1_50JPL_2022-04-30_final.stac-item
2022-05-30 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-30_final.stac-item
2022-06-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-06-01_final.stac-item
2022-06-18 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2022-06-18_final.stac-item
2022-07-10 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2022-07-10_final.stac-item
2022-07-27 10:55:22	ga_s2bm_ard_3-2-1_52JFP_2022-07-27_final.stac-item
2022-08-12 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2022-08-12_final.stac-item
2022-09-20 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-09-20_final.stac-item
2022-11-26 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-11-26_final.stac-item
2023-02-04 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2023-02-04_final.stac-item
2023-02-10 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-02-10_final.stac-item
2023-02-20 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2023-02-20_final
2023-04-24 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-04-24_final
2023-04-24 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-04-24_final
2023-05-19 11:13:33	ga_s2bm_ard_3-2-1_51KZS_2023-05-19_final
2023-05-22 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-05-22_final
2023-05-25 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-05-25_final
2023-06-11 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-06-11_final
2023-06-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-18_final
2023-06-24 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-24_final
2023-07-10 11:53:36	ga_s2bm_ard_3-2-1_50KMC_2023-07-10_final
2023-07-31 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-07-31_final
2023-08-01 10:54:38	ga_s2bm_ard_3-2-1_52JFS_2023-08-01_final
2023-08-01 10:54:53	ga_s2bm_ard_3-2-1_52JFR_2023-08-01_final
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-08-02_final
2023-08-19 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-08-19_final
2023-09-21 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-09-21_final
2023-10-28 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final
2023-11-17 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-11-17_final
2024-01-24 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2024-01-24_final
2024-02-02 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2024-02-02_final
2024-02-29 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2024-02-29_final
2024-03-06 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2024-03-06_final
2024-03-31 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2024-03-31_final
2024-04-02 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2024-04-02_final
2024-04-29 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-04-29_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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