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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KYU_2017-07-12_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HVC_2017-11-19_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYU_2018-05-11_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWR_2018-06-30_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-03_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51KZQ_2018-07-04_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KVQ_2018-07-10_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYU_2018-08-26_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPK_2018-09-18_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXR_2018-10-25_final
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2018-11-10_final
2019-01-06 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2019-01-06_final
2019-03-20 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-03-20_final
2019-03-31 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2019-03-31_final
2019-05-03 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-05-03_final
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final
2019-05-23 11:24:06	ga_s2bm_ard_3-2-1_51KXQ_2019-05-23_final
2019-06-05 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-06-05_final
2019-06-05 11:33:46	ga_s2bm_ard_3-2-1_51KXR_2019-06-05_final
2019-06-12 11:23:03	ga_s2bm_ard_3-2-1_51KYU_2019-06-12_final
2019-08-14 11:36:49	ga_s2bm_ard_3-2-1_51HUD_2019-08-14_final
2019-08-24 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2019-08-24_final
2019-10-03 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2019-10-03_final
2019-10-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-03_final
2019-10-13 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-13_final
2019-11-02 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2019-11-02_final
2019-11-22 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2019-11-22_final
2019-11-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-29_final
2019-12-15 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-15_final
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final
2020-02-14 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2020-02-14_final
2020-02-23 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2020-02-23_final
2020-03-11 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-03-11_final
2020-03-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2020-03-18_final
2020-03-24 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-03-24_final
2020-03-25 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2020-03-25_final
2020-05-03 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2020-05-03_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-06-02 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-02_final
2020-07-19 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-07-19_final
2020-07-29 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2020-07-29_final
2020-08-05 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-08-05_final
2020-09-17 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-09-17_final
2020-11-19 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2020-11-19_final
2020-11-29 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2020-11-29_final
2020-12-16 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2020-12-16_final
2021-01-05 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-01-05_final
2021-01-11 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-01-11_final.stac-item
2021-01-12 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-01-12_final
2021-02-27 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-02-27_final
2021-03-09 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-03-09_final
2021-03-26 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-03-26_final
2021-05-12 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2021-05-12_final
2021-06-01 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-06-01_final
2021-06-10 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2021-06-10_final
2021-06-10 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-06-10_final
2021-07-28 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-07-28_final
2021-09-05 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2021-09-05_final
2021-09-12 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2021-09-12_final
2021-09-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-09-22_final
2021-11-01 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-11-01_final
2021-11-14 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-11-14_final
2021-12-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-04_final
2022-02-09 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2022-02-09_final
2022-02-12 11:42:36	ga_s2bm_ard_3-2-1_51KVV_2022-02-12_final
2022-02-12 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2022-02-12_final
2022-03-04 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-03-04_final
2022-03-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2022-03-14_final
2022-03-27 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2022-03-27_final
2022-04-20 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2022-04-20_final
2022-05-03 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-05-03_final
2022-05-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-05-23_final
2022-06-19 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2022-06-19_final.stac-item
2022-08-25 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-08-25_final
2022-09-30 11:44:48	ga_s2bm_ard_3-2-1_50JQS_2022-09-30_final.stac-item
2022-10-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2022-10-07_final.stac-item
2022-10-10 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-10-10_final.stac-item
2022-11-06 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2022-11-06_final.stac-item
2022-11-09 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-11-09_final.stac-item
2022-12-09 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-12-09_final.stac-item
2023-04-15 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2023-04-15_final.stac-item
2023-05-05 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-05-05_final.stac-item
2023-06-26 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-26_final.stac-item
2023-07-18 11:14:00	ga_s2bm_ard_3-2-1_51KZQ_2023-07-18_final.stac-item
2023-08-23 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-08-23_final.stac-item
2023-08-30 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-08-30_final.stac-item
2023-10-18 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-10-18_final.stac-item
2023-10-22 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-10-22_final.stac-item
2023-11-21 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-11-21_final.stac-item
2023-12-21 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2023-12-21_final.stac-item
2024-01-03 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-01-03_final.stac-item
2024-01-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2024-01-13_final.stac-item
2024-01-27 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2024-01-27_final.stac-item
2024-02-29 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-02-29_final.stac-item
2024-03-20 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2024-03-20_final.stac-item
2024-03-27 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2024-03-27_final.stac-item
2024-03-30 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2024-03-30_final.stac-item
2024-04-12 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-04-12_final.stac-item
2024-04-25 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2024-04-25_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