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_50KLU_2017-10-12_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_51HUC_2017-10-13_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KLC_2017-11-01_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXQ_2018-01-28_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KWP_2018-02-17_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUR_2018-03-15_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KVA_2018-05-04_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JQL_2018-06-03_final
2018-07-11 11:03:18	ga_s2bm_ard_3-2-1_52JET_2018-07-11_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50KRC_2018-08-05_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLN_2018-09-04_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50KMU_2018-09-17_final
2018-12-27 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2018-12-27_final
2019-01-16 11:35:01	ga_s2bm_ard_3-2-1_51JUL_2019-01-16_final
2019-02-05 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-02-05_final
2019-02-14 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-02-14_final
2019-02-25 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2019-02-25_final
2019-03-14 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2019-03-14_final
2019-05-04 10:55:35	ga_s2bm_ard_3-2-1_52JGN_2019-05-04_final
2019-06-22 11:24:31	ga_s2bm_ard_3-2-1_51JYN_2019-06-22_final
2019-06-28 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-06-28_final
2019-09-01 10:55:16	ga_s2bm_ard_3-2-1_52JGP_2019-09-01_final
2019-09-09 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2019-09-09_final
2019-09-20 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-09-20_final
2019-10-10 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2019-10-10_final
2020-01-01 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2020-01-01_final
2020-02-24 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2020-02-24_final
2020-02-27 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2020-02-27_final
2020-03-05 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2020-03-05_final
2020-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2020-04-09_final
2020-04-29 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2020-04-29_final
2020-04-30 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2020-04-30_final
2020-05-14 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2020-05-14_final
2020-06-03 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2020-06-03_final
2020-06-09 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-06-09_final
2020-06-16 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2020-06-16_final.stac-item
2020-06-18 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-18_final
2020-06-23 11:15:39	ga_s2bm_ard_3-2-1_52JBN_2020-06-23_final
2021-01-14 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2021-01-14_final
2021-01-25 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-25_final
2021-04-12 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2021-04-12_final
2021-05-18 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-05-18_final.stac-item
2021-05-18 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-05-18_final
2021-07-04 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-07-04_final
2021-07-25 11:04:45	ga_s2bm_ard_3-2-1_52JFR_2021-07-25_final
2021-08-10 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2021-08-10_final
2021-09-15 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-09-15_final
2021-12-11 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2021-12-11_final
2021-12-18 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2021-12-18_final
2021-12-28 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2021-12-28_final
2022-01-26 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2022-01-26_final
2022-02-08 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-02-08_final
2022-03-21 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2022-03-21_final
2022-03-30 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-03-30_final
2022-04-10 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-04-10_final
2022-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-04-12_final
2022-04-19 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2022-04-19_final
2022-05-19 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2022-05-19_final
2022-05-27 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-05-27_final
2022-06-22 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2022-06-22_final
2022-07-02 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2022-07-02_final
2022-07-26 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2022-07-26_final
2022-08-01 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2022-08-01_final
2022-08-04 11:55:58	ga_s2bm_ard_3-2-1_50JMN_2022-08-04_final
2022-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2022-09-10_final.stac-item
2022-09-26 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-09-26_final.stac-item
2022-10-09 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2022-10-09_final.stac-item
2022-10-24 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-10-24_final.stac-item
2022-11-06 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2022-11-06_final.stac-item
2022-11-26 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2022-11-26_final.stac-item
2022-12-05 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2022-12-05_final.stac-item
2022-12-05 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2022-12-05_final.stac-item
2022-12-18 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-12-18_final.stac-item
2023-01-08 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-08_final.stac-item
2023-01-28 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2023-01-28_final.stac-item
2023-02-03 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2023-02-03_final.stac-item
2023-02-17 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-17_final.stac-item
2023-02-20 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-02-20_final.stac-item
2023-03-30 11:16:09	ga_s2bm_ard_3-2-1_52JBL_2023-03-30_final.stac-item
2023-04-05 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2023-04-05_final.stac-item
2023-04-12 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-04-12_final.stac-item
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final.stac-item
2023-07-13 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-07-13_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-22 10:56:06	ga_s2bm_ard_3-2-1_52JFL_2023-07-22_final.stac-item
2023-08-26 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-08-26_final.stac-item
2023-09-12 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-09-12_nrt.stac-item
2023-10-05 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2023-10-05_final.stac-item
2023-10-22 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2023-10-22_final.stac-item
2023-11-08 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2023-11-08_final.stac-item
2023-11-27 11:54:19	ga_s2bm_ard_3-2-1_50KNU_2023-11-27_final.stac-item
2023-12-15 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2023-12-15_final.stac-item
2023-12-17 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2023-12-17_final.stac-item
2023-12-18 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2023-12-18_final.stac-item
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final.stac-item
2024-02-06 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2024-02-06_final.stac-item
2024-03-06 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2024-03-06_final.stac-item
2024-03-10 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2024-03-10_final.stac-item
2024-04-07 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2024-04-07_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