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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HQH_2017-08-14_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51JWH_2018-01-08_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JVJ_2018-02-07_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KMC_2018-03-21_final
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JZN_2018-04-05_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JWL_2018-05-31_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JQR_2018-08-12_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JPL_2018-08-22_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMJ_2018-09-01_final
2018-11-17 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2018-11-17_final
2018-12-04 11:26:42	ga_s2bm_ard_3-2-1_51HUD_2018-12-04_final
2019-01-03 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2019-01-03_final
2019-03-23 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2019-03-23_final
2019-04-05 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2019-04-05_final
2019-04-10 11:15:00	ga_s2bm_ard_3-2-1_51JYL_2019-04-10_final
2019-06-05 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-06-05_final
2019-06-27 12:14:21	ga_s2bm_ard_3-2-1_49KGQ_2019-06-27_final
2019-07-08 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-08_final
2019-07-11 11:54:31	ga_s2bm_ard_3-2-1_50KNU_2019-07-11_final
2019-07-19 11:16:49	ga_s2bm_ard_3-2-1_51HXD_2019-07-19_final
2019-07-28 11:44:06	ga_s2bm_ard_3-2-1_51KUQ_2019-07-28_final
2019-10-16 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2019-10-16_final
2019-10-19 11:55:04	ga_s2bm_ard_3-2-1_50JPR_2019-10-19_final
2019-12-18 11:52:29	ga_s2bm_ard_3-2-1_50KQF_2019-12-18_final.stac-item
2020-01-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final
2020-02-06 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-02-06_final
2020-02-16 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2020-02-16_final
2020-03-20 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2020-03-20_final
2020-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-03-30_final
2020-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-04-02_final
2020-04-23 11:43:52	ga_s2bm_ard_3-2-1_51KUQ_2020-04-23_final
2020-04-27 11:25:55	ga_s2bm_ard_3-2-1_51JVG_2020-04-27_final
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final
2020-07-08 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2020-07-08_final
2020-08-30 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-30_final
2020-10-26 12:03:26	ga_s2bm_ard_3-2-1_50KMC_2020-10-26_final
2020-11-12 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2020-11-12_final
2020-12-26 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2020-12-26_final
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-28_final
2021-01-15 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2021-01-15_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-02-13_final
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-23_final
2021-02-24 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-02-24_final
2021-03-25 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-03-25_final
2021-04-11 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2021-04-11_final
2021-04-17 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-04-17_final
2021-05-22 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2021-05-22_final
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final
2021-07-14 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-14_final.stac-item
2021-07-16 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-07-16_final
2021-08-02 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final
2021-09-09 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2021-09-09_final
2021-11-08 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-11-08_final
2021-11-10 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-11-10_final
2021-12-21 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2021-12-21_final
2021-12-28 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2021-12-28_final
2022-01-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-01-06_final
2022-01-23 11:46:14	ga_s2bm_ard_3-2-1_50JPL_2022-01-23_final
2022-01-29 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2022-01-29_final
2022-02-01 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2022-02-01_final
2022-03-21 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2022-03-21_final
2022-04-24 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2022-04-24_final
2022-04-26 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-04-26_final
2022-04-26 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-04-26_final
2022-06-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-06-01_final
2022-06-06 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-06-06_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-08_final
2022-10-07 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2022-10-07_final.stac-item
2022-11-09 11:46:00	ga_s2bm_ard_3-2-1_50JQM_2022-11-09_final.stac-item
2023-02-27 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2023-02-27_final.stac-item
2023-04-05 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-04-05_final.stac-item
2023-04-08 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-08_final.stac-item
2023-05-12 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2023-05-12_final.stac-item
2023-05-15 11:33:52	ga_s2bm_ard_3-2-1_51KUR_2023-05-15_final.stac-item
2023-05-29 11:16:12	ga_s2bm_ard_3-2-1_51JYF_2023-05-29_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-07-13 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2023-07-13_final.stac-item
2023-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-20_final.stac-item
2023-08-16 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2023-08-16_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-09-15 11:44:23	ga_s2bm_ard_3-2-1_50KQU_2023-09-15_final.stac-item
2023-11-10 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-11-10_final.stac-item
2023-11-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2023-11-24_final.stac-item
2023-11-24 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2023-11-24_final.stac-item
2023-11-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2023-11-30_final.stac-item
2023-12-10 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2023-12-10_final.stac-item
2023-12-17 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-12-17_final.stac-item
2023-12-27 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2023-12-27_final.stac-item
2024-01-03 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-01-03_final.stac-item
2024-01-06 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-01-06_final.stac-item
2024-02-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-02-11_final.stac-item
2024-03-30 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2024-03-30_final.stac-item
2024-04-09 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-09_final.stac-item
2024-04-28 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-28_final.stac-item
2024-05-05 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2024-05-05_final.stac-item
2024-05-21 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2024-05-21_nrt.stac-item
2024-05-25 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2024-05-25_nrt.stac-item
2024-05-29 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2024-05-29_nrt.stac-item
2024-05-29 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-05-29_nrt.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