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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51HTC_2017-07-12_final.stac-item
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_52KCA_2017-07-12_final.stac-item
2017-07-13 10:53:15	ga_s2bm_ard_3-2-1_52JFR_2017-07-13_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JQL_2017-09-16_final.stac-item
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKQ_2017-09-22_final.stac-item
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JUF_2017-11-09_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JUF_2017-12-29_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JWF_2018-04-28_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LYD_2018-05-01_final.stac-item
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HNH_2018-05-04_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLP_2018-05-07_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JLS_2018-05-07_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_52KBA_2018-05-28_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_52KBB_2018-05-28_final.stac-item
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBA_2018-06-14_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZR_2018-06-17_final.stac-item
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_51KZS_2018-06-24_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-27_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXT_2018-07-07_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KGQ_2018-07-09_final.stac-item
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXT_2018-07-20_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKN_2018-08-28_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JPL_2018-09-01_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JUG_2018-09-05_final.stac-item
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HYD_2018-09-12_final.stac-item
2018-12-24 11:26:32	ga_s2bm_ard_3-2-1_51HXD_2018-12-24_final.stac-item
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final.stac-item
2019-03-03 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-03-03_final.stac-item
2019-04-12 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final.stac-item
2019-05-09 11:42:04	ga_s2bm_ard_3-2-1_51LWC_2019-05-09_final.stac-item
2019-06-22 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-06-22_final.stac-item
2019-07-09 11:13:37	ga_s2bm_ard_3-2-1_51KZS_2019-07-09_final.stac-item
2019-07-09 11:13:49	ga_s2bm_ard_3-2-1_51KZR_2019-07-09_final.stac-item
2019-07-22 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-07-22_final.stac-item
2019-07-22 11:23:37	ga_s2bm_ard_3-2-1_51KXS_2019-07-22_final.stac-item
2019-08-01 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-08-01_final.stac-item
2019-11-15 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-11-15_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final.stac-item
2020-02-07 11:26:12	ga_s2bm_ard_3-2-1_51JUF_2020-02-07_final.stac-item
2020-02-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-02-07_final.stac-item
2020-02-17 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2020-02-17_final.stac-item
2020-02-19 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-02-19_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-04-13 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2020-04-13_final.stac-item
2020-05-23 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-05-23_final.stac-item
2020-05-29 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-05-29_final.stac-item
2020-07-13 11:13:30	ga_s2bm_ard_3-2-1_51KZS_2020-07-13_final.stac-item
2020-07-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-07-25_final.stac-item
2020-07-31 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-07-31_final.stac-item
2020-08-02 11:13:32	ga_s2bm_ard_3-2-1_51KZS_2020-08-02_final.stac-item
2020-08-11 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2020-08-11_final.stac-item
2020-08-18 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2020-08-18_final.stac-item
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-09-26_final.stac-item
2020-12-29 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2020-12-29_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final.stac-item
2021-01-15 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2021-01-15_final.stac-item
2021-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2021-02-03_final.stac-item
2021-02-20 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-02-20_final.stac-item
2021-02-20 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-02-20_final.stac-item
2021-02-22 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2021-02-22_final.stac-item
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final.stac-item
2021-04-11 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2021-04-11_final.stac-item
2021-05-25 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-05-25_final
2021-06-25 11:04:36	ga_s2bm_ard_3-2-1_52JGR_2021-06-25_final.stac-item
2021-07-20 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2021-07-20_final
2021-07-31 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-07-31_final.stac-item
2021-09-02 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2021-09-02_final.stac-item
2021-10-22 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2021-10-22_final.stac-item
2022-02-15 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2022-02-15_final.stac-item
2022-04-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-04-03_final.stac-item
2022-04-04 11:13:25	ga_s2bm_ard_3-2-1_51KZS_2022-04-04_final.stac-item
2022-04-13 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-04-13_final.stac-item
2022-05-30 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2022-05-30_final.stac-item
2022-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2022-06-18_final.stac-item
2022-06-23 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2022-06-23_final.stac-item
2022-06-27 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2022-06-27_final.stac-item
2022-07-29 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2022-07-29_final.stac-item
2022-10-04 11:23:11	ga_s2bm_ard_3-2-1_52KBB_2022-10-04_final.stac-item
2022-12-15 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2022-12-15_final.stac-item
2023-04-01 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-04-01_final
2023-06-01 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2023-06-01_final
2023-07-04 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-07-04_final
2023-07-11 11:23:32	ga_s2bm_ard_3-2-1_52KCA_2023-07-11_final
2023-07-28 11:13:57	ga_s2bm_ard_3-2-1_52KCV_2023-07-28_final
2023-08-19 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-19_final
2023-08-29 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-08-29_final
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final
2023-10-08 11:50:30	ga_s2bm_ard_3-2-1_51LUJ_2023-10-08_nrt
2023-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-11-27_final
2023-12-17 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-12-17_final
2024-01-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_final
2024-01-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-01-22_final
2024-01-26 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-01-26_final
2024-01-30 11:31:25	ga_s2bm_ard_3-2-1_51LXE_2024-01-30_nrt
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final
2024-04-01 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-04-01_final
2024-04-12 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-12_final
2024-05-06 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-05-06_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

All years