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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVS_2017-07-05_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KWQ_2017-07-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KYT_2017-11-22_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWQ_2017-12-02_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWR_2017-12-22_final
2018-02-15 10:37:20	ga_s2bm_ard_3-2-1_52JGM_2018-02-15_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KQG_2018-02-26_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51HYE_2018-03-26_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KWV_2018-05-31_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51LUE_2018-06-03_final
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50KKB_2018-08-18_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-09-08_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KXS_2018-09-18_final
2018-10-11 11:39:55	ga_s2bm_ard_3-2-1_51LUF_2018-10-11_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVT_2018-10-28_final
2018-11-17 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-17_final
2018-12-14 11:23:07	ga_s2bm_ard_3-2-1_51KXT_2018-12-14_final
2019-01-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2019-01-06_final
2019-03-24 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2019-03-24_final
2019-06-28 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-06-28_final
2019-09-03 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2019-09-03_final
2019-09-26 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2019-09-26_final.stac-item
2019-09-26 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2019-09-26_final
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final
2019-11-29 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2019-11-29_final
2020-01-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-01_final
2020-01-28 11:22:48	ga_s2bm_ard_3-2-1_51KYU_2020-01-28_final
2020-01-31 11:32:43	ga_s2bm_ard_3-2-1_51KYU_2020-01-31_final
2020-03-07 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-03-07_final.stac-item
2020-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-14_final
2020-04-06 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-04-06_final
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final
2020-04-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-04-16_final.stac-item
2020-04-23 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-04-23_final
2020-05-03 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2020-05-03_final
2020-05-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2020-05-19_final
2020-05-27 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2020-05-27_final
2020-06-03 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-06-03_final
2020-06-16 11:23:23	ga_s2bm_ard_3-2-1_52KBB_2020-06-16_final
2020-06-26 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-06-26_final
2020-06-26 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-06-26_final
2020-06-29 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-06-29_final
2020-07-02 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-07-02_final
2020-08-01 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-08-01_final
2020-10-07 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-10-07_final
2020-10-24 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-10-24_final
2020-11-26 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2020-11-26_final
2020-12-13 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2020-12-13_final
2021-01-18 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-01-18_final
2021-02-01 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2021-02-01_final
2021-02-24 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-24_final
2021-03-03 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-03_final
2021-04-02 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2021-04-02_final
2021-04-15 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2021-04-15_final
2021-06-14 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2021-06-14_final
2021-06-14 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-14_final.stac-item
2021-07-24 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-07-24_final
2021-07-31 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2021-07-31_final
2021-09-05 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2021-09-05_final.stac-item
2021-10-02 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-10-02_final
2021-11-05 11:16:59	ga_s2bm_ard_3-2-1_51HWC_2021-11-05_final.stac-item
2022-01-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-01-06_final
2022-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-04_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-05-07 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2022-05-07_final
2022-05-07 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2022-05-07_final
2022-05-13 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-05-13_final
2022-05-27 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2022-05-27_final
2022-06-05 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2022-06-05_final.stac-item
2022-07-06 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2022-07-06_final
2022-08-01 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-08-01_final
2022-08-08 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2022-08-08_final
2022-11-19 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2022-11-19_final.stac-item
2022-11-20 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2022-11-20_final.stac-item
2022-11-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-11-29_final.stac-item
2023-01-21 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2023-01-21_final.stac-item
2023-02-21 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2023-02-21_final.stac-item
2023-03-29 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-03-29_final.stac-item
2023-04-28 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2023-04-28_final.stac-item
2023-05-05 11:33:41	ga_s2bm_ard_3-2-1_51KXR_2023-05-05_final.stac-item
2023-06-11 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-06-11_final.stac-item
2023-06-24 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-06-24_final.stac-item
2023-07-01 11:27:00	ga_s2bm_ard_3-2-1_51HWC_2023-07-01_final.stac-item
2023-07-17 11:42:01	ga_s2bm_ard_3-2-1_51LWC_2023-07-17_final.stac-item
2023-08-20 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-08-20_final.stac-item
2023-10-20 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2023-10-20_final.stac-item
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final.stac-item
2023-10-29 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2023-10-29_final.stac-item
2023-10-30 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-10-30_final.stac-item
2023-11-21 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-11-21_final.stac-item
2023-11-28 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2023-11-28_final.stac-item
2023-12-01 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-12-01_final.stac-item
2023-12-14 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2023-12-14_final.stac-item
2023-12-28 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-12-28_final.stac-item
2024-01-02 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-01-02_final.stac-item
2024-01-03 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2024-01-03_final.stac-item
2024-02-02 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2024-02-02_final.stac-item
2024-02-26 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2024-02-26_final.stac-item
2024-03-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-03-20_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

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