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
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2017-09-02_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVB_2018-01-24_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUS_2018-02-13_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HTC_2018-03-12_final
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KQG_2018-06-16_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KVS_2018-08-12_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVU_2018-10-18_final
2018-11-07 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2018-11-07_final
2018-11-17 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2018-11-17_final
2018-12-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-12-26_final
2019-01-19 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-03-24 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2019-03-24_final.stac-item
2019-04-16 11:33:07	ga_s2bm_ard_3-2-1_51KVU_2019-04-16_final
2019-04-18 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2019-04-18_final
2019-05-19 11:42:30	ga_s2bm_ard_3-2-1_51KWA_2019-05-19_final
2019-06-15 11:32:54	ga_s2bm_ard_3-2-1_51KVV_2019-06-15_final
2019-07-11 11:54:09	ga_s2bm_ard_3-2-1_50KQV_2019-07-11_final
2019-08-17 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2019-08-17_final
2019-08-24 11:36:28	ga_s2bm_ard_3-2-1_51HVE_2019-08-24_final
2019-08-27 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2019-08-27_final
2019-09-06 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2019-09-06_final
2019-11-15 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-11-15_final
2019-11-28 11:57:19	ga_s2bm_ard_3-2-1_50HLG_2019-11-28_final.stac-item
2020-02-10 11:35:21	ga_s2bm_ard_3-2-1_51JVJ_2020-02-10_final
2020-04-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2020-04-23_final
2020-05-29 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-05-29_final
2020-07-09 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-07-09_final
2020-08-05 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2020-08-05_final
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final
2020-09-10 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-09-10_final
2020-10-07 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-10-07_final
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final
2020-11-28 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2020-11-28_final.stac-item
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final
2021-02-04 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-02-04_final
2021-02-07 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-02-07_final
2021-02-18 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-02-18_final
2021-03-05 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-03-05_final
2021-03-06 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2021-03-06_final
2021-03-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-29_final.stac-item
2021-04-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-04-08_final
2021-05-08 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2021-05-08_final
2021-05-15 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-05-15_final
2021-05-22 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2021-05-22_final
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final
2021-06-23 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2021-06-23_final
2021-08-03 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-08-03_final
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final
2021-09-19 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-09-19_final
2021-10-15 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-15_final
2021-11-11 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-11-11_final
2021-11-24 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-11-24_final
2021-11-24 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-11-24_final
2022-01-09 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2022-01-09_final
2022-01-13 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2022-01-13_final
2022-02-22 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-02-22_final
2022-02-22 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-02-22_final
2022-03-08 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2022-03-08_final
2022-04-19 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2022-04-19_final
2022-05-23 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-05-23_final
2022-05-30 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2022-05-30_final
2022-06-02 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2022-06-02_final
2022-07-05 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2022-07-05_final
2022-08-05 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2022-08-05_final
2022-08-21 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2022-08-21_final
2022-09-10 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-09-10_final.stac-item
2022-09-10 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2022-09-10_final.stac-item
2022-09-13 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-09-13_final.stac-item
2022-09-20 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2022-09-20_final.stac-item
2022-09-27 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2022-09-27_final.stac-item
2022-10-30 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-10-30_final.stac-item
2022-11-16 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-11-16_final.stac-item
2022-12-18 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-12-18_final.stac-item
2022-12-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-12-29_final.stac-item
2023-01-05 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2023-01-05_final.stac-item
2023-02-27 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-02-27_final.stac-item
2023-03-19 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-19_final.stac-item
2023-03-30 11:16:34	ga_s2bm_ard_3-2-1_51HWE_2023-03-30_final.stac-item
2023-05-18 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-18_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-28_final.stac-item
2023-05-28 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2023-05-28_final.stac-item
2023-06-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-06-11_final.stac-item
2023-07-04 11:33:07	ga_s2bm_ard_3-2-1_51KVU_2023-07-04_final.stac-item
2023-07-04 11:34:23	ga_s2bm_ard_3-2-1_51KUP_2023-07-04_final.stac-item
2023-07-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-07-07_final.stac-item
2023-07-10 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-07-10_final.stac-item
2023-08-16 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2023-08-16_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2023-08-16_final.stac-item
2023-09-05 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-09-05_final.stac-item
2023-09-28 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-28_final.stac-item
2024-02-11 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-11_final.stac-item
2024-02-29 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2024-02-29_final.stac-item
2024-03-23 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2024-03-23_final.stac-item
2024-04-02 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2024-04-02_final.stac-item
2024-04-02 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2024-04-02_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-04-12_final.stac-item
2024-04-16 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2024-04-16_final.stac-item
2024-05-02 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-05-02_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