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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWS_2017-09-03_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUT_2017-10-06_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JRT_2017-11-25_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52KBF_2018-01-08_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LZC_2018-01-11_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KXU_2018-04-01_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVA_2018-08-02_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KXU_2018-08-19_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51KXR_2018-09-05_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KWS_2018-09-08_final
2018-11-27 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2018-11-27_final
2019-01-10 11:13:06	ga_s2bm_ard_3-2-1_52KCC_2019-01-10_final
2019-01-16 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-01-16_final
2019-01-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-01-29_final
2019-02-08 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-02-08_final
2019-02-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-02-18_final
2019-03-11 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2019-03-11_final
2019-03-14 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-14_final.stac-item
2019-03-20 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-03-20_final
2019-04-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2019-04-02_final
2019-04-06 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2019-04-06_final
2019-04-16 11:33:04	ga_s2bm_ard_3-2-1_51KWU_2019-04-16_final
2019-04-23 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2019-04-23_final
2019-05-13 11:23:43	ga_s2bm_ard_3-2-1_52KBA_2019-05-13_final
2019-06-01 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-06-01_final.stac-item
2019-06-02 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-06-02_final
2019-07-22 11:23:01	ga_s2bm_ard_3-2-1_51KZU_2019-07-22_final
2019-07-25 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-07-25_final
2019-08-01 11:23:43	ga_s2bm_ard_3-2-1_51KZR_2019-08-01_final
2019-10-01 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2019-10-01_final
2019-10-10 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2019-10-10_final
2019-10-30 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2019-10-30_final
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final
2020-01-28 11:22:59	ga_s2bm_ard_3-2-1_52KBC_2020-01-28_final
2020-02-25 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2020-02-25_final
2020-03-15 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2020-03-15_final
2020-04-23 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2020-04-23_final
2020-04-24 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2020-04-24_final
2020-05-10 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2020-05-10_final
2020-05-30 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-05-30_final
2020-06-16 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-06-16_final
2020-06-29 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-29_final
2020-07-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2020-07-16_final
2020-07-26 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2020-07-26_final
2020-09-10 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-09-10_final
2020-10-01 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2020-10-01_final
2020-10-27 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-10-27_final
2020-12-10 11:14:57	ga_s2bm_ard_3-2-1_52JDQ_2020-12-10_final
2020-12-26 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-12-26_final
2020-12-26 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-12-26_final
2021-01-19 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2021-01-19_final
2021-01-28 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-28_final
2021-02-04 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2021-02-04_final
2021-04-15 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2021-04-15_final
2021-04-25 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-04-25_final
2021-05-15 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-05-15_final
2021-05-22 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2021-05-22_final
2021-06-14 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-14_final.stac-item
2021-07-17 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2021-07-17_final.stac-item
2021-07-27 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2021-07-27_final
2021-08-06 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-08-06_final
2021-08-16 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-08-16_final
2021-09-29 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-09-29_final
2021-10-25 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-25_final
2022-01-06 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-01-06_final
2022-01-17 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2022-01-17_final
2022-02-12 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-02-12_final
2022-03-15 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2022-03-15_final
2022-03-31 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2022-03-31_final
2022-07-23 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2022-07-23_final
2022-07-29 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-29_final
2022-08-05 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2022-08-05_final
2022-08-15 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2022-08-15_final
2022-08-18 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-08-18_final
2022-08-30 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2022-08-30_final
2022-10-07 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-10-07_final.stac-item
2022-10-30 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-10-30_final.stac-item
2022-11-24 10:54:15	ga_s2bm_ard_3-2-1_52JGT_2022-11-24_final.stac-item
2022-11-30 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2022-11-30_final.stac-item
2022-12-26 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2022-12-26_final.stac-item
2023-01-08 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2023-01-08_final.stac-item
2023-04-02 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-04-02_final.stac-item
2023-05-29 11:14:13	ga_s2bm_ard_3-2-1_52KBU_2023-05-29_final.stac-item
2023-06-13 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2023-06-13_final.stac-item
2023-07-11 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-07-11_final.stac-item
2023-07-20 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2023-07-20_final.stac-item
2023-08-03 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-08-03_final.stac-item
2023-08-07 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2023-08-07_final.stac-item
2023-10-06 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2023-10-06_final.stac-item
2023-11-11 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2023-11-11_final.stac-item
2023-11-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-11-18_final.stac-item
2023-11-21 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2023-11-21_final.stac-item
2023-11-28 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2023-11-28_final.stac-item
2023-11-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-30_final.stac-item
2023-12-11 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2023-12-11_final.stac-item
2023-12-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-12-13_final.stac-item
2023-12-15 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2023-12-15_final.stac-item
2024-02-19 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2024-02-19_final.stac-item
2024-02-29 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2024-02-29_final.stac-item
2024-03-20 11:32:29	ga_s2bm_ard_3-2-1_51KWA_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

All years