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_51KUS_2017-07-05_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-01-20_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPQ_2018-02-06_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPM_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPN_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLP_2018-03-28_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLT_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKR_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKT_2018-03-31_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KHS_2018-04-03_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNN_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JPN_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51JTM_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HPK_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPR_2018-04-07_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HXD_2018-04-08_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51HUE_2018-04-18_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQL_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPK_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPR_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQR_2018-04-24_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-05-20_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWS_2018-06-20_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JML_2018-07-26_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVF_2018-08-29_final
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2018-11-10_final
2019-01-09 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-01-09_final
2019-04-22 11:53:05	ga_s2bm_ard_3-2-1_50KRD_2019-04-22_final
2019-05-10 11:17:07	ga_s2bm_ard_3-2-1_51HWC_2019-05-10_final.stac-item
2019-05-22 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-22_final
2019-05-26 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-05-26_final
2019-06-02 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2019-06-02_final.stac-item
2019-06-11 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-06-11_final
2019-07-25 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-07-25_final
2019-08-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-08-20_final.stac-item
2019-08-24 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2019-08-24_final
2019-09-03 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2019-09-03_final
2019-10-10 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2019-10-10_final.stac-item
2019-11-02 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2019-11-02_final
2020-01-17 11:52:57	ga_s2bm_ard_3-2-1_50KQD_2020-01-17_final.stac-item
2020-02-16 11:52:55	ga_s2bm_ard_3-2-1_50KRD_2020-02-16_final
2020-03-01 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-01_final
2020-04-07 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-04-07_final
2020-05-27 11:27:08	ga_s2bm_ard_3-2-1_51HTC_2020-05-27_final
2020-07-03 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2020-07-03_final.stac-item
2020-08-07 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2020-08-07_final
2020-08-11 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-08-11_final
2020-09-17 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2020-09-17_final
2020-10-10 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-10_final
2020-10-24 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2020-10-24_final
2020-11-10 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2020-11-10_final.stac-item
2020-11-26 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2020-11-26_final.stac-item
2020-12-26 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2020-12-26_final
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final
2020-12-29 11:47:25	ga_s2bm_ard_3-2-1_50HLG_2020-12-29_final.stac-item
2021-01-01 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-01-01_final
2021-01-12 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2021-01-12_final.stac-item
2021-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2021-02-03_final
2021-03-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-03-29_final
2021-05-02 11:25:13	ga_s2bm_ard_3-2-1_51JVK_2021-05-02_final
2021-05-11 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2021-05-11_final
2021-05-18 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-05-18_final.stac-item
2021-06-07 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-07_final
2021-07-08 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2021-07-08_final.stac-item
2021-07-30 11:53:05	ga_s2bm_ard_3-2-1_50KQD_2021-07-30_final.stac-item
2021-08-06 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-08-06_final
2021-08-13 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-08-13_final
2021-08-25 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-08-25_final
2021-09-08 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2021-09-08_final
2021-09-14 12:13:36	ga_s2bm_ard_3-2-1_49KHS_2021-09-14_final.stac-item
2021-10-02 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-10-02_final
2021-10-31 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-10-31_final.stac-item
2021-11-11 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-11-11_final.stac-item
2021-12-04 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-12-04_final.stac-item
2022-01-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-03_final
2022-02-18 12:03:13	ga_s2bm_ard_3-2-1_50KNC_2022-02-18_final
2022-03-23 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-23_final
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_50KKA_2022-04-12_final
2022-04-13 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-04-13_final
2022-04-16 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-16_final
2022-05-30 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2022-05-30_final
2022-06-06 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2022-06-06_final.stac-item
2022-06-08 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2022-06-08_final
2022-08-01 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2022-08-01_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2022-10-17 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-10-17_final.stac-item
2023-03-12 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-03-12_final.stac-item
2023-05-15 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-05-15_final.stac-item
2023-05-21 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2023-05-21_final.stac-item
2023-06-21 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2023-06-21_final.stac-item
2023-07-14 11:36:33	ga_s2bm_ard_3-2-1_51HUE_2023-07-14_final.stac-item
2023-07-17 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2023-07-17_final.stac-item
2023-08-13 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2023-08-13_final.stac-item
2023-08-16 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-08-16_final.stac-item
2023-09-22 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-09-22_final.stac-item
2023-10-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-10-05_final.stac-item
2023-11-10 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-11-10_final.stac-item
2023-12-24 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2023-12-24_final.stac-item
2024-01-17 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2024-01-17_final.stac-item
2024-03-12 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2024-03-12_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