Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_52JGM_2018-01-19_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HWE_2018-02-17_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JNL_2018-03-15_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGJ_2018-03-31_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KXT_2018-04-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMJ_2018-04-04_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JZN_2018-04-05_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51KZS_2018-07-04_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JCM_2018-08-30_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51JXG_2018-11-04_final
2018-12-07 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2018-12-07_final
2018-12-31 11:14:38	ga_s2bm_ard_3-2-1_51JYM_2018-12-31_final
2019-01-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-01-03_final
2019-03-13 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2019-03-13_final
2019-03-17 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-03-17_final
2019-03-23 11:54:13	ga_s2bm_ard_3-2-1_50KQU_2019-03-23_final
2019-04-20 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2019-04-20_final
2019-04-29 11:45:54	ga_s2bm_ard_3-2-1_50JQN_2019-04-29_final
2019-07-11 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-07-11_final
2019-07-12 11:23:54	ga_s2bm_ard_3-2-1_51KYR_2019-07-12_final
2019-08-30 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2019-08-30_final
2019-10-14 11:05:57	ga_s2bm_ard_3-2-1_52JCM_2019-10-14_final
2019-10-16 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2019-10-16_final
2019-10-26 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-26_final
2019-12-06 11:14:58	ga_s2bm_ard_3-2-1_52JCQ_2019-12-06_final
2019-12-12 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2019-12-12_final
2020-01-04 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2020-01-04_final
2020-01-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-01-11_final
2020-03-07 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2020-03-07_final
2020-05-08 10:54:42	ga_s2bm_ard_3-2-1_52JGR_2020-05-08_final
2020-05-14 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2020-05-14_final
2020-06-16 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2020-06-16_final
2020-08-05 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-08-05_final
2020-08-15 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-15_final
2020-09-07 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2020-09-07_final
2020-09-10 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-09-10_final
2020-09-24 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2020-09-24_final
2020-10-03 11:54:51	ga_s2bm_ard_3-2-1_50JPS_2020-10-03_final
2020-10-16 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-10-16_final
2020-11-02 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-11-02_final
2020-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-12-16_final
2021-01-29 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2021-01-29_final
2021-02-13 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2021-02-13_final
2021-02-13 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-02-13_final
2021-02-14 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-02-14_final
2021-04-11 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2021-04-11_final
2021-05-03 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2021-05-03_final
2021-05-12 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-06-10 11:54:09	ga_s2bm_ard_3-2-1_50KNV_2021-06-10_final
2021-06-20 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-06-20_final
2021-06-22 10:54:30	ga_s2bm_ard_3-2-1_52JGS_2021-06-22_final
2021-06-27 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2021-06-27_final
2021-08-09 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-08-09_final
2021-10-12 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-10-12_final
2021-11-01 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-11-01_final
2021-11-18 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2021-11-18_final
2021-12-21 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2021-12-21_final
2022-01-04 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2022-01-04_final
2022-02-09 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2022-02-09_final
2022-02-26 11:25:41	ga_s2bm_ard_3-2-1_51JVH_2022-02-26_final
2022-04-01 11:04:13	ga_s2bm_ard_3-2-1_52JGT_2022-04-01_final
2022-04-27 11:26:52	ga_s2bm_ard_3-2-1_51HVC_2022-04-27_final
2022-05-14 11:14:30	ga_s2bm_ard_3-2-1_52JDS_2022-05-14_final
2022-05-17 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2022-05-17_final
2022-05-20 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2022-05-20_final
2022-05-30 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2022-05-30_final
2022-05-30 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-05-30_final
2022-07-05 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-07-05_final
2022-08-21 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-21_final
2022-08-24 13:31:39	ga_s2bm_ard_3-2-1_46LHM_2022-08-24_interim.stac-item
2022-10-04 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2022-10-04_final.stac-item
2022-10-12 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2022-10-12_final.stac-item
2022-11-01 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2022-11-01_final.stac-item
2022-11-26 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2022-11-26_final.stac-item
2022-11-27 11:05:56	ga_s2bm_ard_3-2-1_52JDL_2022-11-27_final.stac-item
2023-01-05 11:32:09	ga_s2bm_ard_3-2-1_51KXB_2023-01-05_final.stac-item
2023-01-19 11:16:41	ga_s2bm_ard_3-2-1_51HWD_2023-01-19_final.stac-item
2023-02-06 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2023-02-06_nrt.stac-item
2023-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-03-06_final.stac-item
2023-04-01 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-04-01_final.stac-item
2023-04-29 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-04-29_nrt.stac-item
2023-05-01 11:53:58	ga_s2bm_ard_3-2-1_50KNA_2023-05-01_final.stac-item
2023-06-23 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-23_final.stac-item
2023-06-28 11:15:05	ga_s2bm_ard_3-2-1_52JDQ_2023-06-28_final.stac-item
2023-07-15 11:04:52	ga_s2bm_ard_3-2-1_52JER_2023-07-15_final.stac-item
2023-08-13 11:36:38	ga_s2bm_ard_3-2-1_51HTE_2023-08-13_final.stac-item
2023-09-09 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2023-09-09_final.stac-item
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final.stac-item
2023-09-26 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-09-26_final.stac-item
2023-10-16 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-10-16_final.stac-item
2023-11-28 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-11-28_final.stac-item
2023-12-01 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-12-01_final.stac-item
2023-12-08 11:25:39	ga_s2bm_ard_3-2-1_51JWH_2023-12-08_final.stac-item
2024-01-07 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-01-07_final.stac-item
2024-02-16 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2024-02-16_final.stac-item
2024-02-29 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2024-02-29_final.stac-item
2024-03-07 11:26:04	ga_s2bm_ard_3-2-1_51JWF_2024-03-07_final.stac-item
2024-03-10 11:35:51	ga_s2bm_ard_3-2-1_51JVG_2024-03-10_final.stac-item
2024-04-30 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2024-04-30_final.stac-item
2024-05-29 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2024-05-29_nrt.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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