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
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUU_2018-01-04_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQJ_2018-01-11_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRB_2018-01-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-01-20_final
2018-02-02 12:13:14	ga_s2bm_ard_3-2-1_49KHS_2018-02-02_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMG_2018-03-15_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KUS_2018-05-21_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMG_2018-07-13_final.stac-item
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HQG_2018-07-20_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-09_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-11_final
2019-01-05 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-01-05_final
2019-01-06 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2019-01-06_final.stac-item
2019-02-08 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-02-08_final
2019-02-25 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-02-25_final
2019-03-23 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2019-03-23_final
2019-04-12 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2019-04-12_final
2019-05-02 11:53:18	ga_s2bm_ard_3-2-1_50KRC_2019-05-02_final
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final
2019-06-11 11:55:52	ga_s2bm_ard_3-2-1_50JLP_2019-06-11_final
2019-10-03 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-03_final
2019-11-12 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-11-12_final
2019-12-15 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2019-12-15_final
2019-12-16 11:15:19	ga_s2bm_ard_3-2-1_51JYJ_2019-12-16_final
2019-12-22 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2019-12-22_final
2020-01-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2020-01-04_final
2020-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2020-03-17_final
2020-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2020-03-27_final
2020-04-20 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-04-20_final.stac-item
2020-04-24 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2020-04-24_final
2020-04-27 11:25:55	ga_s2bm_ard_3-2-1_51JVG_2020-04-27_final
2020-05-03 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2020-05-03_final.stac-item
2020-05-13 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2020-05-13_final
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final
2020-06-29 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-29_final
2020-07-22 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2020-07-22_final
2020-08-01 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-08-01_final
2020-08-01 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-08-01_final
2020-08-02 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2020-08-02_final
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final
2020-10-10 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-10_final
2020-11-05 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-11-05_final
2021-01-02 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-01-02_final
2021-01-18 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2021-01-18_final
2021-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-02-11_final
2021-02-14 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2021-02-14_final.stac-item
2021-02-27 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2021-02-27_final.stac-item
2021-03-13 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-13_final
2021-04-21 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2021-04-21_final
2021-05-08 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-05-08_final
2021-05-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-24_final
2021-06-17 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-17_final
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final
2021-06-30 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2021-06-30_final
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final
2021-07-13 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2021-07-13_final
2021-07-14 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2021-07-14_final
2021-07-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-17_final.stac-item
2021-07-21 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-07-21_final.stac-item
2021-09-18 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-18_final.stac-item
2021-09-26 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2021-09-26_final.stac-item
2021-11-24 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2021-11-24_final
2021-12-15 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2021-12-15_final.stac-item
2022-01-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2022-01-20_final
2022-02-22 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2022-02-22_final
2022-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-03-17_final
2022-03-25 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2022-03-25_final
2022-04-13 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-04-13_final
2022-05-03 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2022-05-03_final
2022-06-02 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-06-02_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-07-03 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2022-07-03_final
2022-07-15 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2022-07-15_final.stac-item
2022-08-24 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-08-24_final
2022-09-01 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-09-01_final.stac-item
2022-09-10 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2022-09-10_final.stac-item
2022-09-11 11:16:24	ga_s2bm_ard_3-2-1_51HYE_2022-09-11_final.stac-item
2022-11-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-11-19_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-02-27_final.stac-item
2023-02-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-02-27_final.stac-item
2023-03-26 11:35:07	ga_s2bm_ard_3-2-1_51JTL_2023-03-26_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-28_final.stac-item
2023-06-07 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-06-07_final.stac-item
2023-06-21 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-06-21_final.stac-item
2023-06-28 11:15:00	ga_s2bm_ard_3-2-1_51JYL_2023-06-28_final.stac-item
2023-10-15 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2023-10-15_final.stac-item
2023-11-27 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-11-27_final.stac-item
2023-12-07 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2023-12-07_final.stac-item
2023-12-17 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-12-17_final.stac-item
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-12-20_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 11:56:54	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
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-02-18_final.stac-item
2024-03-06 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2024-03-06_final.stac-item
2024-04-16 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2024-04-16_final.stac-item
2024-05-19 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2024-05-19_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