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
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KGQ_2017-10-12_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUT_2017-11-05_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUU_2018-01-04_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPJ_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KRC_2018-02-26_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVU_2018-04-01_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KNC_2018-07-06_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVU_2018-08-12_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KVU_2018-08-22_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KVU_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KTU_2018-09-11_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2018-10-07_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final
2018-11-30 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2018-11-30_final
2018-12-17 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2018-12-17_final
2019-01-16 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-01-16_final
2019-03-27 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-03-27_final
2019-04-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2019-04-02_final
2019-05-22 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-05-22_final.stac-item
2019-07-05 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-07-05_final
2019-07-25 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-07-25_final
2019-08-17 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2019-08-17_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-19 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-09-19_final.stac-item
2019-10-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-13_final
2019-11-02 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-11-02_final
2019-11-05 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-11-05_final
2019-11-12 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-11-12_final
2019-11-22 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-11-22_final
2019-12-22 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-12-22_final
2019-12-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2020-03-27 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2020-03-27_final
2020-03-31 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2020-03-31_final
2020-05-24 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2020-05-24_final
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final
2020-07-09 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-07-09_final
2020-07-22 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-07-22_final
2020-08-12 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2020-08-12_final
2020-08-22 11:16:44	ga_s2bm_ard_3-2-1_51HXD_2020-08-22_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-14 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2020-09-14_final
2020-09-20 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-09-20_final
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final
2020-11-06 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-11-06_final
2020-11-16 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2020-11-16_final
2020-11-16 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2020-11-16_final
2020-11-29 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2020-11-29_final
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final
2021-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-01-04_final
2021-01-18 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-01-18_final
2021-01-25 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-01-25_final
2021-02-27 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-02-27_final
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final
2021-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-03-06_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-06-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2021-06-24_final
2021-06-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-27_final
2021-06-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-27_final
2021-09-05 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2021-09-05_final
2021-09-22 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2021-09-22_final
2021-11-08 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final
2022-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-04_final
2022-03-04 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-03-04_final
2022-03-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2022-03-04_final
2022-03-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2022-03-17_final
2022-03-31 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-03-31_final
2022-03-31 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-03-31_final
2022-05-23 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2022-05-23_final
2022-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2022-06-12_final
2022-07-06 11:24:28	ga_s2bm_ard_3-2-1_51JYN_2022-07-06_final
2022-08-01 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-08-01_final
2022-08-01 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2022-08-01_final
2022-09-03 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-03_final.stac-item
2022-09-06 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-06_final.stac-item
2022-09-10 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2022-09-10_final.stac-item
2022-09-30 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-09-30_final.stac-item
2022-09-30 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-09-30_final.stac-item
2022-11-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-09_final.stac-item
2022-12-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-12-28_final.stac-item
2023-01-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-01-08_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-02-08 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2023-02-08_final.stac-item
2023-03-27 11:06:40	ga_s2bm_ard_3-2-1_51HYD_2023-03-27_final.stac-item
2023-04-01 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-04-01_final.stac-item
2023-06-21 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2023-06-21_final.stac-item
2023-07-13 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2023-07-13_final.stac-item
2023-08-17 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2023-08-17_final.stac-item
2023-08-20 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-08-20_final.stac-item
2023-09-05 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-09-05_final.stac-item
2023-10-25 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-10-25_final.stac-item
2023-10-28 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2023-10-28_final.stac-item
2023-11-07 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-11-07_final.stac-item
2023-11-21 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-11-21_final.stac-item
2024-02-25 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2024-02-25_final.stac-item
2024-03-20 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-03-20_final.stac-item
2024-03-23 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-03-23_final.stac-item
2024-04-02 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2024-04-02_final.stac-item
2024-04-03 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2024-04-03_final.stac-item
2024-04-23 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-04-23_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

All years