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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLP_2017-08-13_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KKB_2017-09-02_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HPK_2017-09-03_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKB_2017-10-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KRC_2017-12-28_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPJ_2018-01-24_final
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50KQF_2018-01-27_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPR_2018-02-06_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-11_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWC_2018-04-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLG_2018-04-07_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNL_2018-04-24_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JVJ_2018-07-07_final
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51HWC_2018-08-13_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HQK_2018-08-22_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKN_2018-09-07_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50HMJ_2018-09-14_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGN_2018-10-10_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMG_2018-11-03_final.stac-item
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2019-01-16 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2019-01-16_final
2019-01-19 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-01-19_final
2019-01-19 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-01-19_final
2019-01-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-01-22_final
2019-02-01 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-02-01_final
2019-04-19 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2019-04-19_final
2019-05-25 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_final
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final
2019-06-12 11:27:09	ga_s2bm_ard_3-2-1_51HUC_2019-06-12_final
2019-06-24 12:06:12	ga_s2bm_ard_3-2-1_50JLM_2019-06-24_final
2019-08-03 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-08-03_final
2019-09-02 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-02_final
2019-09-25 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2019-09-25_final
2019-10-16 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-10-16_final
2019-12-08 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2019-12-08_final.stac-item
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final
2020-01-04 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-04_final
2020-01-15 11:14:23	ga_s2bm_ard_3-2-1_51JYN_2020-01-15_final
2020-02-19 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-02-19_final
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-04-14 11:14:19	ga_s2bm_ard_3-2-1_51JZN_2020-04-14_final
2020-05-13 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2020-05-13_final.stac-item
2020-06-02 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2020-06-02_final
2020-07-08 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2020-07-08_final
2020-08-10 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-08-10_final
2020-08-11 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-08-11_final
2020-09-26 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-09-26_final
2020-10-13 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-13_final.stac-item
2020-10-20 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2020-10-20_final
2020-11-20 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2020-11-20_final
2021-01-18 11:44:05	ga_s2bm_ard_3-2-1_50KQV_2021-01-18_final
2021-01-25 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2021-01-25_final.stac-item
2021-02-07 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-02-07_final
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final.stac-item
2021-03-26 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-03-26_final
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final
2021-05-11 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-05-11_final
2021-05-15 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-05-15_final
2021-06-11 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2021-06-11_final
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final
2021-06-27 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2021-06-27_final
2021-07-04 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-07-04_final
2021-07-31 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2021-07-31_final
2021-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-08-03_final
2021-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-08_final
2021-10-15 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-10-15_final
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2021-11-04_final
2022-01-17 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2022-01-17_final.stac-item
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2022-01-19_final
2022-02-08 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2022-02-08_final
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final
2022-03-25 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2022-03-25_final.stac-item
2022-05-07 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2022-05-07_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-05-23 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2022-05-23_final
2022-06-06 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2022-06-06_final.stac-item
2022-08-27 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-08-27_final
2022-10-01 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2022-10-01_final.stac-item
2022-10-20 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-10-20_final.stac-item
2022-11-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2022-11-19_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2023-02-23_final.stac-item
2023-04-02 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2023-04-02_final.stac-item
2023-04-18 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-18_final.stac-item
2023-05-01 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-05-01_final.stac-item
2023-05-15 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-05-15_final.stac-item
2023-06-07 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-06-07_final.stac-item
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-07-17_final.stac-item
2023-07-30 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2023-07-30_final.stac-item
2023-08-09 11:53:08	ga_s2bm_ard_3-2-1_50KQD_2023-08-09_final.stac-item
2023-08-09 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-09_final.stac-item
2023-08-09 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-08-09_final.stac-item
2023-11-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2023-11-24_final.stac-item
2023-12-31 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-12-31_final.stac-item
2024-01-10 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2024-01-10_final.stac-item
2024-02-28 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-02-28_final.stac-item
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_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