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
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVU_2018-01-01_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVF_2018-02-20_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUR_2018-03-05_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWS_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQH_2018-04-01_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLH_2018-04-27_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HTC_2018-06-30_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVR_2018-07-03_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51JXF_2018-07-14_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KWP_2018-07-30_final
2018-11-07 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2018-11-07_final.stac-item
2018-11-10 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2018-11-10_final
2018-11-10 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2018-11-10_final
2018-11-16 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2018-11-16_final
2018-11-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-11-27_final
2019-01-29 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-01-29_final
2019-02-05 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2019-02-05_final
2019-03-24 11:25:46	ga_s2bm_ard_3-2-1_51JVH_2019-03-24_final
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-03-26_final
2019-05-20 11:15:51	ga_s2bm_ard_3-2-1_51JXH_2019-05-20_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-07-28 11:44:06	ga_s2bm_ard_3-2-1_51KUQ_2019-07-28_final
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-09-23 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-09-23_final
2019-09-26 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-09-26_final
2019-09-26 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2019-09-26_final
2019-10-12 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2019-10-12_final
2019-10-26 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2019-10-26_final
2019-11-02 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2019-11-02_final
2019-11-05 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-11-05_final
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2020-01-07_final
2020-01-14 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2020-01-14_final
2020-01-17 11:53:25	ga_s2bm_ard_3-2-1_50KMC_2020-01-17_final
2020-01-23 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-01-23_final
2020-02-23 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2020-02-23_final.stac-item
2020-06-19 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-19_final
2020-07-28 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2020-07-28_final
2020-08-04 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-08-04_final.stac-item
2020-08-31 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-08-31_final
2020-09-07 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-09-07_final
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-09-26_final
2020-10-10 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final
2020-10-16 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-16_final
2020-10-30 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-10-30_final
2020-12-12 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-12-12_final.stac-item
2020-12-19 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2020-12-19_final
2020-12-29 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2020-12-29_final
2021-01-31 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2021-01-31_final
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final
2021-02-27 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-02-27_final
2021-03-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-13_final
2021-03-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-03-26_final
2021-04-25 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-04-25_final
2021-04-28 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-04-28_final
2021-06-01 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-01_final
2021-06-21 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-21_final
2021-06-27 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-06-27_final
2021-07-30 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2021-07-30_final
2021-08-26 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-08-26_final
2021-09-05 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2021-09-05_final
2021-11-10 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-11-10_final
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final
2021-12-10 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-12-10_final
2022-01-13 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-13_final
2022-02-13 11:16:53	ga_s2bm_ard_3-2-1_51HWC_2022-02-13_final.stac-item
2022-02-19 11:35:13	ga_s2bm_ard_3-2-1_51JWJ_2022-02-19_final
2022-03-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-03-14_final
2022-03-21 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2022-03-21_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-04-13 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2022-04-13_final
2022-05-23 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-05-23_final
2022-07-06 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2022-07-06_final
2022-07-09 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2022-07-09_final
2022-07-19 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-07-19_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-10-10 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-10-10_final.stac-item
2022-10-17 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-10-17_final.stac-item
2022-10-20 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-10-20_final.stac-item
2022-11-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-11-06_final.stac-item
2022-12-10 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2022-12-10_final.stac-item
2023-01-05 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2023-01-05_final.stac-item
2023-01-11 11:57:08	ga_s2bm_ard_3-2-1_50HKH_2023-01-11_nrt.stac-item
2023-01-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-01-24_final.stac-item
2023-01-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-01-28_final.stac-item
2023-03-09 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-03-09_final.stac-item
2023-05-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-05-05_final.stac-item
2023-06-10 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2023-06-10_final.stac-item
2023-06-24 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-24_final.stac-item
2023-07-04 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-07-04_final.stac-item
2023-07-10 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-07-10_final.stac-item
2023-08-13 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-08-13_final.stac-item
2023-09-15 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-09-15_final.stac-item
2023-10-09 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2023-10-09_final.stac-item
2023-11-04 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-11-04_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2024-01-02 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2024-01-02_final.stac-item
2024-01-23 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2024-01-23_final.stac-item
2024-03-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2024-03-03_final.stac-item
2024-03-17 11:25:44	ga_s2bm_ard_3-2-1_51JYG_2024-03-17_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