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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBM_2017-08-28_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-06-09_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYT_2018-08-26_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWT_2018-09-28_final
2018-11-24 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2018-11-24_final
2018-12-17 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2018-12-17_final
2018-12-30 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-12-30_final
2019-01-06 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2019-01-06_final
2019-04-15 12:05:30	ga_s2bm_ard_3-2-1_50JLQ_2019-04-15_final
2019-04-20 11:14:35	ga_s2bm_ard_3-2-1_51JYN_2019-04-20_final
2019-05-06 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-06_final
2019-07-08 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-07-08_final
2019-07-12 11:23:56	ga_s2bm_ard_3-2-1_51KXR_2019-07-12_final
2019-07-12 11:24:28	ga_s2bm_ard_3-2-1_52JBT_2019-07-12_final
2019-07-29 11:14:38	ga_s2bm_ard_3-2-1_52JCS_2019-07-29_final
2019-08-05 11:03:27	ga_s2bm_ard_3-2-1_52KEB_2019-08-05_final
2019-09-17 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2019-09-17_final
2019-09-27 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2019-09-27_final
2019-09-28 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2019-09-28_final
2019-10-06 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2019-10-06_final
2019-12-05 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2019-12-05_final
2020-01-08 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2020-01-08_final
2020-01-11 11:34:20	ga_s2bm_ard_3-2-1_51JWN_2020-01-11_final
2020-01-15 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2020-01-15_final
2020-02-23 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-02-23_final.stac-item
2020-02-27 11:23:30	ga_s2bm_ard_3-2-1_51KYR_2020-02-27_final
2020-06-02 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2020-06-02_final
2020-06-09 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-06-09_final
2020-06-29 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-29_final
2020-07-02 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-07-02_final
2020-07-18 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2020-07-18_final
2020-07-19 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-07-19_final
2020-07-19 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-07-19_final
2020-08-07 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2020-08-07_final
2020-08-11 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2020-08-11_final
2020-10-07 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2020-10-07_final
2020-11-16 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2020-11-16_final
2020-11-28 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2020-11-28_final
2021-01-04 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-01-04_final
2021-01-15 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-01-15_final
2021-02-11 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2021-02-11_final
2021-03-26 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2021-03-26_final
2021-04-15 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-04-15_final
2021-04-28 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-04-28_final
2021-05-05 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2021-05-05_final
2021-05-13 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2021-05-13_final
2021-06-04 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2021-06-04_final
2021-06-14 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-06-14_final
2021-07-01 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2021-07-01_final
2021-08-03 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-08-03_final
2021-11-21 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2021-11-21_final
2021-12-01 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2021-12-01_final
2021-12-01 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2021-12-01_final
2021-12-02 11:05:40	ga_s2bm_ard_3-2-1_52JEM_2021-12-02_final
2021-12-08 11:25:29	ga_s2bm_ard_3-2-1_51JYH_2021-12-08_final
2021-12-18 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2021-12-18_final
2022-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-01-07_final
2022-01-13 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-13_final
2022-02-05 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2022-02-05_final
2022-02-18 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-02-18_final
2022-02-20 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2022-02-20_final
2022-02-22 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final
2022-02-26 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2022-02-26_final
2022-03-24 11:41:56	ga_s2bm_ard_3-2-1_51LVC_2022-03-24_final
2022-04-04 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2022-04-04_final
2022-06-12 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2022-06-12_final
2022-06-26 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2022-06-26_final
2022-07-02 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-07-02_final
2022-07-07 10:54:26	ga_s2bm_ard_3-2-1_52JFT_2022-07-07_final
2022-07-19 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2022-07-19_final
2022-07-22 11:44:54	ga_s2bm_ard_3-2-1_50JQS_2022-07-22_final
2022-08-08 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2022-08-08_final
2022-09-04 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2022-09-04_final.stac-item
2022-09-13 13:31:40	ga_s2bm_ard_3-2-1_47LKG_2022-09-13_interim.stac-item
2022-09-27 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2022-09-27_final.stac-item
2022-11-16 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-11-16_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-12-07 11:04:15	ga_s2bm_ard_3-2-1_52JET_2022-12-07_final.stac-item
2023-01-01 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-01-01_nrt.stac-item
2023-02-01 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2023-02-01_final.stac-item
2023-02-08 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2023-02-08_final.stac-item
2023-02-27 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2023-02-27_final.stac-item
2023-04-02 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-04-02_final.stac-item
2023-04-12 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2023-04-12_final.stac-item
2023-06-01 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2023-06-01_final.stac-item
2023-06-14 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-06-14_final.stac-item
2023-07-04 11:33:44	ga_s2bm_ard_3-2-1_51KXR_2023-07-04_final.stac-item
2023-08-10 11:23:12	ga_s2bm_ard_3-2-1_52KBC_2023-08-10_final.stac-item
2023-08-10 11:24:03	ga_s2bm_ard_3-2-1_51KXQ_2023-08-10_final.stac-item
2023-09-22 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2023-09-22_final.stac-item
2023-09-29 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2023-09-29_final.stac-item
2023-12-11 11:31:06	ga_s2bm_ard_3-2-1_51LZF_2023-12-11_nrt.stac-item
2024-03-07 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2024-03-07_final.stac-item
2024-03-13 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2024-03-13_final.stac-item
2024-03-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2024-03-19_final.stac-item
2024-03-24 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-03-24_final.stac-item
2024-03-24 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2024-03-24_final.stac-item
2024-04-03 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2024-04-03_final.stac-item
2024-04-12 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-04-12_final.stac-item
2024-05-19 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2024-05-19_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