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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUQ_2017-11-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRU_2017-11-25_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYK_2017-11-29_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWN_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUQ_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HPG_2017-12-15_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JYL_2017-12-19_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMH_2018-01-04_final
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50HMH_2018-02-16_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JXN_2018-03-22_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHS_2018-03-24_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JPL_2018-04-11_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMG_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HPK_2018-04-14_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNN_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNR_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPM_2018-04-24_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HTC_2018-06-30_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-03_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQK_2018-07-30_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-22_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-09-11_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HWC_2018-09-12_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51HWC_2018-10-25_final.stac-item
2018-11-20 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-11-20_final.stac-item
2018-11-24 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2018-11-24_final
2018-11-27 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2018-11-27_final.stac-item
2018-12-07 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2018-12-07_final.stac-item
2018-12-20 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final
2018-12-20 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2018-12-20_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-12-30_final
2019-01-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-01-09_final
2019-04-13 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2019-04-13_final
2019-06-21 11:53:07	ga_s2bm_ard_3-2-1_50KRD_2019-06-21_final
2019-09-06 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2019-09-06_final
2020-01-14 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-14_final
2020-02-14 11:16:50	ga_s2bm_ard_3-2-1_51HXC_2020-02-14_final.stac-item
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final.stac-item
2020-04-14 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2020-04-14_final.stac-item
2020-04-23 11:42:11	ga_s2bm_ard_3-2-1_51KUB_2020-04-23_final.stac-item
2020-05-10 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2020-05-10_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-08-05 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2020-08-05_final
2020-08-07 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2020-08-07_final
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-08-21 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-21_final
2020-10-14 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2020-10-14_final.stac-item
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final
2020-10-23 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-10-23_final
2020-10-27 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-10-27_final
2020-11-19 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2020-11-19_final
2020-12-16 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2020-12-16_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-12-25_final
2021-01-08 11:47:20	ga_s2bm_ard_3-2-1_50HNG_2021-01-08_final.stac-item
2021-01-31 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2021-01-31_final
2021-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2021-02-03_final
2021-02-21 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2021-02-21_final.stac-item
2021-03-30 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2021-03-30_final.stac-item
2021-04-14 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-14_final
2021-06-11 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-06-11_final
2021-06-28 11:16:56	ga_s2bm_ard_3-2-1_51HXC_2021-06-28_final.stac-item
2021-06-30 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2021-06-30_final
2021-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-07-06_final.stac-item
2021-07-21 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2021-07-21_final
2021-07-24 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-24_final
2021-08-09 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-08-09_final.stac-item
2021-08-16 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2021-08-16_final.stac-item
2021-10-15 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-10-15_final
2021-10-15 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-10-15_final
2021-12-07 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2021-12-07_final
2022-01-03 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2022-01-03_final
2022-01-06 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final.stac-item
2022-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-20_final
2022-01-30 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-01-30_final
2022-02-12 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-12_final
2022-02-15 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2022-02-15_final
2022-03-27 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2022-03-27_final
2022-05-30 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2022-05-30_final
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final
2022-09-03 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2022-09-03_final.stac-item
2022-10-06 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2022-10-06_final.stac-item
2022-10-09 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2022-10-09_final.stac-item
2022-11-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-12_final.stac-item
2022-12-19 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-12-19_final.stac-item
2023-01-11 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2023-01-11_final.stac-item
2023-01-11 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2023-01-11_final.stac-item
2023-01-21 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2023-01-21_final.stac-item
2023-01-25 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-25_final.stac-item
2023-03-06 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-03-06_final.stac-item
2023-03-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2023-03-09_final.stac-item
2023-03-29 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2023-03-29_final.stac-item
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final.stac-item
2023-04-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-04-14_final.stac-item
2023-04-18 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-18_final.stac-item
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final.stac-item
2023-10-25 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-10-25_final.stac-item
2023-11-11 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2023-11-11_final.stac-item
2023-12-11 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2023-12-11_final.stac-item
2023-12-24 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-12-24_final.stac-item
2023-12-31 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2023-12-31_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