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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KMC_2017-09-09_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-11-21_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HVC_2017-11-29_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWC_2018-01-08_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51HTC_2018-01-31_final
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-02-12_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGK_2018-03-01_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPJ_2018-04-04_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPG_2018-04-21_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPH_2018-07-03_final
2018-07-26 11:46:09	ga_s2bm_ard_3-2-1_50KQG_2018-07-26_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JVG_2018-09-18_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-28_final
2018-11-20 11:43:12	ga_s2bm_ard_3-2-1_50KQC_2018-11-20_final
2018-12-27 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2018-12-27_final
2019-01-09 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2019-01-09_final.stac-item
2019-02-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-02-19_final.stac-item
2019-05-16 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-16_final
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final
2019-06-21 11:53:25	ga_s2bm_ard_3-2-1_50KQC_2019-06-21_final
2019-06-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-27_final
2019-07-22 11:26:09	ga_s2bm_ard_3-2-1_51JVG_2019-07-22_final
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final
2019-09-19 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2019-09-19_final
2019-09-20 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-09-20_final
2019-10-26 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2019-10-26_final.stac-item
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final
2019-12-28 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2019-12-28_final
2020-01-07 11:53:26	ga_s2bm_ard_3-2-1_50KQB_2020-01-07_final
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-01-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-01-17_final
2020-02-17 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2020-02-17_final
2020-03-31 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2020-03-31_final
2020-04-26 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-04-26_final
2020-06-12 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2020-06-12_final
2020-10-03 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2020-10-03_final
2020-10-23 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-10-23_final
2020-10-23 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2020-10-23_final
2020-10-27 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-10-27_final.stac-item
2020-11-02 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-11-02_final
2020-11-19 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-11-19_final.stac-item
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final
2020-11-30 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2020-11-30_final.stac-item
2020-12-26 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2020-12-26_final.stac-item
2021-01-28 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-01-28_final
2021-03-05 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-03-05_final
2021-03-10 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-03-10_final
2021-05-11 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-05-11_final.stac-item
2021-05-25 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2021-05-25_final
2021-06-18 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2021-06-18_final
2021-06-21 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-06-21_final
2021-06-23 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2021-06-23_final
2021-06-23 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-23_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-07-13 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-07-13_final
2021-07-24 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-24_final
2021-08-03 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-08-03_final.stac-item
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-08-22_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-08-22_final
2021-08-29 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-08-29_final
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final
2021-11-04 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2021-11-04_final
2021-11-11 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-11-11_final
2021-11-17 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-11-17_final
2021-12-07 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2021-12-07_final.stac-item
2022-03-20 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-20_final
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final
2022-06-02 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-06-02_final
2022-06-08 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2022-06-08_final
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-06-28_final.stac-item
2022-07-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-19_final
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final.stac-item
2022-09-20 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-09-20_final.stac-item
2022-09-30 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-09-30_final.stac-item
2022-10-17 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-17_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-19 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-11-19_final.stac-item
2022-12-09 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2022-12-09_final.stac-item
2022-12-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-12-19_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-05-11 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-05-11_final.stac-item
2023-05-11 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2023-05-11_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-05-28_final.stac-item
2023-06-10 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-06-10_final.stac-item
2023-06-10 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-06-10_final.stac-item
2023-06-17 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-06-17_final.stac-item
2023-07-03 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-07-03_final.stac-item
2023-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-07-10_final.stac-item
2023-07-14 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-07-14_final.stac-item
2023-07-20 11:53:27	ga_s2bm_ard_3-2-1_50KPC_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 11:43:14	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final.stac-item
2023-11-14 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2023-11-14_final.stac-item
2024-01-06 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2024-01-06_final.stac-item
2024-01-07 11:26:32	ga_s2bm_ard_3-2-1_51HUE_2024-01-07_final.stac-item
2024-01-22 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-01-22_final.stac-item
2024-03-20 11:34:25	ga_s2bm_ard_3-2-1_51JWN_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