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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KUS_2017-07-05_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2017-08-13_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPN_2017-08-27_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JGM_2017-09-05_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLN_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMM_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRC_2017-12-25_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUQ_2018-01-14_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUR_2018-02-03_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPK_2018-02-23_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUU_2018-03-25_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPG_2018-07-03_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KUV_2018-08-02_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLQ_2018-08-05_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JUF_2018-08-26_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPJ_2018-09-11_final
2018-12-31 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2018-12-31_final
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final
2019-01-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2019-01-06_final
2019-01-29 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2019-01-29_final
2019-04-13 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2019-04-13_final
2019-04-19 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2019-04-19_final
2019-04-29 11:43:07	ga_s2bm_ard_3-2-1_51KUU_2019-04-29_final
2019-06-08 11:46:34	ga_s2bm_ard_3-2-1_50JML_2019-06-08_final
2019-07-01 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-07-01_final
2019-07-02 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-07-02_final
2019-08-04 11:37:08	ga_s2bm_ard_3-2-1_51HTC_2019-08-04_final
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final
2019-11-15 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-11-15_final
2019-11-22 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2019-11-22_final
2019-12-05 11:43:37	ga_s2bm_ard_3-2-1_51KUR_2019-12-05_final
2019-12-08 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2019-12-08_final
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2020-02-17_final
2020-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-10_final
2020-04-03 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2020-04-03_final
2020-04-04 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2020-04-04_final
2020-04-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2020-04-06_final
2020-05-13 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2020-05-13_final.stac-item
2020-05-13 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2020-05-13_final.stac-item
2020-06-22 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2020-06-22_final
2020-08-22 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2020-08-22_final
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final
2020-09-23 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-09-23_final.stac-item
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-10-04 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2020-10-04_final
2020-10-17 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-17_final.stac-item
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-11-05_final
2020-11-29 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2020-11-29_final
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final
2021-01-22 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2021-01-22_final
2021-02-14 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2021-02-14_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-04 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-04_final
2021-07-27 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-27_final.stac-item
2021-08-20 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2021-08-20_final
2021-10-05 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2021-10-05_final
2021-10-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-10-05_final
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final
2021-12-21 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-21_final
2021-12-30 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-12-30_final
2022-01-13 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2022-01-13_final
2022-02-09 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2022-02-09_final
2022-02-12 11:44:21	ga_s2bm_ard_3-2-1_51JUN_2022-02-12_final
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-03-04_final
2022-03-08 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2022-03-08_final
2022-03-27 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2022-03-27_final
2022-05-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2022-05-27_final
2022-06-06 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2022-06-06_final
2022-08-04 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2022-08-04_final
2022-08-18 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-08-18_final
2022-08-30 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2022-08-30_final
2022-08-31 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2022-08-31_final
2022-09-10 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-09-10_final.stac-item
2022-12-05 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2022-12-05_final.stac-item
2022-12-22 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-12-22_final.stac-item
2022-12-29 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-12-29_final.stac-item
2023-01-04 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2023-01-04_final.stac-item
2023-01-11 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2023-01-11_final.stac-item
2023-01-25 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-25_final.stac-item
2023-03-30 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2023-03-30_final.stac-item
2023-04-14 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-04-14_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-28_final.stac-item
2023-05-25 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-05-25_final.stac-item
2023-06-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-06-10_final.stac-item
2023-08-12 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-08-12_final.stac-item
2023-10-15 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2023-10-15_final.stac-item
2023-11-07 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-11-07_final.stac-item
2023-12-17 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2023-12-17_final.stac-item
2023-12-31 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-12-31_final.stac-item
2023-12-31 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-31_final.stac-item
2024-01-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-01-16_final.stac-item
2024-01-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2024-01-16_final.stac-item
2024-01-29 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2024-01-29_final.stac-item
2024-02-29 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-02-29_final.stac-item
2024-04-08 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-04-08_final.stac-item
2024-04-18 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-04-18_final.stac-item
2024-04-22 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-04-22_final.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

All years