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_51KWR_2017-07-05_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWT_2017-12-12_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVU_2017-12-22_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVB_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JWN_2018-03-02_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KXR_2018-03-19_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVR_2018-05-31_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_51KZQ_2018-06-24_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KUT_2018-08-09_final
2018-12-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-12-24_final
2019-01-31 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2019-01-31_final
2019-06-12 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-06-12_final
2019-06-22 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-06-22_final
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final
2019-07-13 10:55:54	ga_s2bm_ard_3-2-1_52JFM_2019-07-13_final
2019-08-27 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2019-08-27_final
2019-10-13 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-10-13_final
2019-11-09 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2019-11-09_final
2020-02-10 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-02-10_final
2020-03-11 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2020-03-11_final
2020-03-19 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2020-03-19_final
2020-04-14 11:15:43	ga_s2bm_ard_3-2-1_52JCM_2020-04-14_final
2020-04-28 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2020-04-28_final
2020-05-10 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2020-05-10_final
2020-05-26 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final
2020-05-27 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2020-05-27_final
2020-06-12 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2020-06-12_final
2020-06-29 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2020-06-29_final
2020-08-18 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-08-18_final
2020-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final
2020-08-28 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-08-28_final
2020-09-04 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-09-04_final
2020-09-04 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-09-04_final
2020-09-17 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-09-17_final
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final
2020-11-19 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2020-11-19_final
2021-01-02 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-01-02_final
2021-01-22 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2021-01-22_final
2021-02-01 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-02-01_final
2021-02-04 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2021-02-04_final
2021-02-10 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-02-10_final
2021-02-21 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2021-02-21_final
2021-03-27 11:05:04	ga_s2bm_ard_3-2-1_52JDQ_2021-03-27_final
2021-04-12 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2021-04-12_final
2021-05-05 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2021-05-05_final
2021-05-19 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2021-05-19_final
2021-06-02 10:56:05	ga_s2bm_ard_3-2-1_52JEL_2021-06-02_final
2021-06-06 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-06-06_final
2021-06-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-06-24_final
2021-06-24 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-06-24_final
2021-07-18 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2021-07-18_final
2021-07-21 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2021-07-21_final
2021-07-24 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-07-24_final
2021-08-19 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-08-19_final
2021-08-20 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-08-20_final
2021-09-22 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2021-09-22_final
2021-09-29 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2021-09-29_final
2021-10-06 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2021-10-06_final
2021-10-07 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-10-07_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final
2021-10-29 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2021-10-29_final
2021-11-21 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2021-11-21_final
2021-12-11 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-11_final
2022-01-17 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2022-01-17_final
2022-04-07 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2022-04-07_final
2022-04-10 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-04-10_final
2022-05-28 10:55:17	ga_s2bm_ard_3-2-1_52JFP_2022-05-28_final
2022-07-05 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2022-07-05_final
2022-08-01 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2022-08-01_final
2022-08-01 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2022-08-01_final
2022-08-08 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-08-08_final
2022-08-21 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-08-21_final
2022-09-04 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2022-09-04_final.stac-item
2022-10-10 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2022-10-10_final.stac-item
2022-10-15 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2022-10-15_final.stac-item
2022-11-03 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2022-11-03_final.stac-item
2022-11-03 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-11-03_final.stac-item
2023-01-12 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2023-01-12_final.stac-item
2023-03-29 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2023-03-29_final.stac-item
2023-03-29 11:45:32	ga_s2bm_ard_3-2-1_51JTJ_2023-03-29_final.stac-item
2023-04-22 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-04-22_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-05-24_final.stac-item
2023-06-01 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-06-01_final.stac-item
2023-08-03 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-08-03_final.stac-item
2023-08-10 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-08-10_final.stac-item
2023-08-20 11:24:24	ga_s2bm_ard_3-2-1_52JBT_2023-08-20_final.stac-item
2023-09-02 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-09-02_final.stac-item
2023-10-09 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2023-10-09_final.stac-item
2023-10-10 10:55:47	ga_s2bm_ard_3-2-1_52JFM_2023-10-10_final.stac-item
2023-10-22 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-22_final.stac-item
2023-10-22 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2023-10-22_final.stac-item
2023-11-01 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-11-01_final.stac-item
2023-11-05 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2023-11-05_final.stac-item
2023-12-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-12-14_final.stac-item
2023-12-27 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-12-27_final.stac-item
2023-12-31 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-12-31_final.stac-item
2024-01-10 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2024-01-10_final.stac-item
2024-05-06 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2024-05-06_final.stac-item
2024-05-09 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2024-05-09_final.stac-item
2024-05-22 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2024-05-22_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