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
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54HXJ_2017-07-01_final
2017-07-27 10:27:07	ga_s2bm_ard_3-2-1_54LWK_2017-07-27_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53KPS_2017-08-09_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2017-08-13_final
2017-08-31 09:43:47	ga_s2bm_ard_3-2-1_55GDR_2017-08-31_final
2017-08-31 09:43:47	ga_s2bm_ard_3-2-1_55JDF_2017-08-31_final
2017-10-06 10:05:37	ga_s2bm_ard_3-2-1_55HBE_2017-10-06_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51LVC_2017-10-06_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWP_2017-12-12_final
2017-12-21 10:16:53	ga_s2bm_ard_3-2-1_54LWM_2017-12-21_final
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_55GDR_2018-03-09_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52LDJ_2018-03-19_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KWV_2018-03-22_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54LWJ_2018-05-03_final
2018-05-15 09:35:53	ga_s2bm_ard_3-2-1_55GDQ_2018-05-15_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51HWE_2018-05-15_final
2018-05-18 11:16:57	ga_s2bm_ard_3-2-1_52LBJ_2018-05-18_final
2018-05-25 11:09:09	ga_s2bm_ard_3-2-1_52KBV_2018-05-25_final
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_55GCP_2018-06-24_final
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_55HCS_2018-07-10_final
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_54JUS_2018-07-19_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_52JGL_2018-08-04_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52KHD_2018-09-19_final
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_52KDC_2018-10-02_final
2018-11-14 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2018-11-14_final
2019-01-09 10:07:21	ga_s2bm_ard_3-2-1_54HXD_2019-01-09_final
2019-02-05 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-02-05_final
2019-02-22 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2019-02-22_final
2019-03-16 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2019-03-16_final
2019-03-27 09:57:51	ga_s2bm_ard_3-2-1_55HBS_2019-03-27_final
2019-05-19 11:42:36	ga_s2bm_ard_3-2-1_51KVA_2019-05-19_final
2019-06-14 12:03:48	ga_s2bm_ard_3-2-1_50KLB_2019-06-14_final
2019-06-18 10:06:42	ga_s2bm_ard_3-2-1_54HYG_2019-06-18_final
2019-06-22 09:48:53	ga_s2bm_ard_3-2-1_55GDN_2019-06-22_final
2019-06-25 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-06-25_final
2019-08-03 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-08-03_final
2019-09-22 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-09-22_final
2019-12-31 10:25:31	ga_s2bm_ard_3-2-1_54JVL_2019-12-31_final
2020-01-14 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2020-01-14_final
2020-01-30 10:26:23	ga_s2bm_ard_3-2-1_54HTH_2020-01-30_final
2020-02-23 10:04:10	ga_s2bm_ard_3-2-1_55JDL_2020-02-23_final
2020-03-03 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2020-03-03_final
2020-05-12 10:30:25	ga_s2bm_ard_3-2-1_54LWM_2020-05-12_final
2020-07-20 09:28:32	ga_s2bm_ard_3-2-1_55GFP_2020-07-19_final
2020-08-01 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-01_final
2020-08-12 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2020-08-12_final
2020-08-24 10:14:46	ga_s2bm_ard_3-2-1_54JWQ_2020-08-24_final
2020-10-09 10:29:58	ga_s2bm_ard_3-2-1_54LXP_2020-10-09_final
2020-10-12 10:44:16	ga_s2bm_ard_3-2-1_53JLN_2020-10-12_final
2020-10-26 10:23:47	ga_s2bm_ard_3-2-1_54KVU_2020-10-26_final
2020-11-23 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2020-11-23_final
2020-12-28 10:31:40	ga_s2bm_ard_3-2-1_54KVG_2020-12-28_final
2021-02-15 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2021-02-15_final
2021-02-23 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2021-02-23_final
2021-03-23 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-03-23_final
2021-03-24 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2021-03-24_final
2021-04-15 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2021-04-15_final
2021-05-19 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2021-05-19_final
2021-07-01 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2021-07-01_final
2021-07-27 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2021-07-27_final
2021-08-20 09:46:48	ga_s2bm_ard_3-2-1_55HDA_2021-08-20_final
2021-08-25 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2021-08-25_final
2021-09-08 10:11:23	ga_s2bm_ard_3-2-1_54LYH_2021-09-08_final
2021-09-08 10:12:40	ga_s2bm_ard_3-2-1_54KXC_2021-09-08_final
2021-09-21 10:20:43	ga_s2bm_ard_3-2-1_54LWL_2021-09-21_final
2021-09-26 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2021-09-26_final
2021-10-07 10:42:55	ga_s2bm_ard_3-2-1_53KQS_2021-10-07_final
2021-11-03 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2021-11-03_final
2021-12-08 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2021-12-08_final
2022-02-03 09:37:27	ga_s2bm_ard_3-2-1_55HET_2022-02-03_final
2022-04-26 10:15:51	ga_s2bm_ard_3-2-1_54HVK_2022-04-26_final
2022-05-24 11:15:12	ga_s2bm_ard_3-2-1_52JDP_2022-05-24_final
2022-06-09 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2022-06-09_final
2022-06-19 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-06-19_final
2022-07-08 10:20:44	ga_s2bm_ard_3-2-1_54LYL_2022-07-08_final
2022-09-13 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2022-09-13_final.stac-item
2022-09-17 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2022-09-17_final.stac-item
2022-09-21 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2022-09-21_final.stac-item
2022-10-01 09:37:57	ga_s2bm_ard_3-2-1_55GFR_2022-10-01_final.stac-item
2022-10-16 10:20:30	ga_s2bm_ard_3-2-1_54LWM_2022-10-16_final.stac-item
2022-10-19 10:34:29	ga_s2bm_ard_3-2-1_54JTR_2022-10-19_final.stac-item
2022-12-19 10:05:32	ga_s2bm_ard_3-2-1_54JWM_2022-12-19_final.stac-item
2023-01-21 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2023-01-21_final.stac-item
2023-01-30 10:41:46	ga_s2bm_ard_3-2-1_53KQB_2023-01-30_final.stac-item
2023-03-14 10:51:26	ga_s2bm_ard_3-2-1_53LND_2023-03-14_final.stac-item
2023-04-23 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2023-04-23_final.stac-item
2023-05-11 10:14:49	ga_s2bm_ard_3-2-1_54JVQ_2023-05-11_final.stac-item
2023-06-07 11:45:16	ga_s2bm_ard_3-2-1_50JNR_2023-06-07_final.stac-item
2023-07-06 10:36:22	ga_s2bm_ard_3-2-1_53HLE_2023-07-06_final.stac-item
2023-07-13 10:27:04	ga_s2bm_ard_3-2-1_54HTF_2023-07-13_final.stac-item
2023-11-01 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2023-11-01_final.stac-item
2024-02-08 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2024-02-08_final.stac-item
2024-02-18 10:23:44	ga_s2bm_ard_3-2-1_54KVU_2024-02-18_final.stac-item
2024-02-20 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-20_final.stac-item
2024-02-21 10:36:22	ga_s2bm_ard_3-2-1_53HND_2024-02-21_final.stac-item
2024-03-04 11:12:46	ga_s2bm_ard_3-2-1_52KDD_2024-03-04_final.stac-item
2024-03-07 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2024-03-07_final.stac-item
2024-03-16 10:15:39	ga_s2bm_ard_3-2-1_54JWL_2024-03-16_final.stac-item
2024-05-11 10:30:19	ga_s2bm_ard_3-2-1_54LXM_2024-05-11_final.stac-item
2024-05-19 11:36:59	ga_s2bm_ard_3-2-1_51HTC_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