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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_49JGM_2017-07-04_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KVQ_2017-07-25_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-12-09_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWP_2018-01-01_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KUR_2018-01-31_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51JXJ_2018-02-04_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVB_2018-02-10_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVT_2018-03-05_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWQ_2018-03-12_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KWT_2018-03-22_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KVT_2018-03-25_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_51HXD_2018-10-22_final
2018-11-14 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2018-11-14_final
2019-03-20 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-03-20_final
2019-03-24 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-03-24_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-04-05_final
2019-04-12 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final
2019-04-16 11:33:07	ga_s2bm_ard_3-2-1_51KVU_2019-04-16_final
2019-04-22 11:53:24	ga_s2bm_ard_3-2-1_50KQC_2019-04-22_final
2019-04-23 11:24:08	ga_s2bm_ard_3-2-1_51KWQ_2019-04-23_final
2019-05-26 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-05-26_final
2019-06-01 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-06-01_final
2019-06-22 11:23:08	ga_s2bm_ard_3-2-1_51KXU_2019-06-22_final
2019-07-04 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-07-04_final
2019-08-11 11:26:47	ga_s2bm_ard_3-2-1_51HWD_2019-08-11_final
2019-09-20 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2019-09-20_final
2019-09-22 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-09-22_final
2019-09-26 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-09-26_final
2019-09-26 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2019-09-26_final
2019-10-23 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-10-23_final
2019-10-30 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2019-10-30_final
2019-12-08 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2019-12-08_final.stac-item
2020-01-01 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2020-01-01_final
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-02-19_final
2020-02-20 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2020-02-20_final
2020-02-23 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2020-02-23_final
2020-05-19 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2020-05-19_final
2020-06-29 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-06-29_final
2020-08-05 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-08-05_final
2020-09-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-09-27_final
2020-10-10 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2020-10-10_final
2020-10-19 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-19_final
2020-11-06 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2020-11-06_final
2020-12-06 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2020-12-06_final
2020-12-19 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2020-12-19_final
2021-01-22 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2021-01-22_final
2021-02-01 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2021-02-01_final
2021-02-04 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-02-04_final
2021-04-25 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2021-04-25_final
2021-05-05 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-05-05_final
2021-06-13 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-13_final
2021-06-23 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-06-23_final
2021-07-27 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-07-27_final
2021-08-13 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-08-13_final
2021-09-15 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-09-15_final
2021-10-19 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-10-19_final
2021-12-21 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2021-12-21_final
2022-01-13 11:43:49	ga_s2bm_ard_3-2-1_51KUQ_2022-01-13_final
2022-02-12 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2022-02-12_final
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final
2022-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-14_final
2022-03-24 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2022-03-24_final
2022-04-09 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2022-04-09_final
2022-04-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-04-13_final
2022-05-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-05-06_final
2022-05-13 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2022-05-13_final
2022-06-05 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-06-05_final
2022-08-28 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-08-28_final
2022-09-17 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-09-17_final.stac-item
2022-10-17 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2022-10-17_final.stac-item
2022-10-31 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2022-10-31_final.stac-item
2022-11-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-11-16_final.stac-item
2022-12-06 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-12-06_final.stac-item
2022-12-26 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-12-26_final.stac-item
2023-01-29 12:50:56	ga_s2bm_ard_3-2-1_48LXP_2023-01-29_interim.stac-item
2023-02-14 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2023-02-14_final.stac-item
2023-02-24 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2023-02-24_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-02-27_final.stac-item
2023-03-28 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-28_final.stac-item
2023-03-29 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-03-29_final.stac-item
2023-04-05 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-04-05_final.stac-item
2023-04-12 11:24:13	ga_s2bm_ard_3-2-1_51KXP_2023-04-12_final.stac-item
2023-05-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-05-25_final.stac-item
2023-06-04 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-06-04_final.stac-item
2023-06-04 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-06-04_final.stac-item
2023-06-20 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2023-06-20_final.stac-item
2023-08-30 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-08-30_final.stac-item
2023-09-05 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-09-05_final.stac-item
2023-09-12 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2023-09-12_final.stac-item
2023-09-15 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2023-09-15_final.stac-item
2023-11-18 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-11-18_final.stac-item
2023-12-24 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-12-24_final.stac-item
2024-01-09 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-09_final.stac-item
2024-03-10 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2024-03-10_final.stac-item
2024-03-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-03-17_final.stac-item
2024-03-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2024-03-20_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_final.stac-item
2024-03-30 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2024-03-30_final.stac-item
2024-04-22 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2024-04-22_final.stac-item
2024-05-02 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2024-05-02_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