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
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMJ_2018-01-07_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWC_2018-01-08_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMJ_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRD_2018-02-23_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPF_2018-02-26_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51JXN_2018-03-12_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPL_2018-03-25_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JPP_2018-03-25_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKN_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HVE_2018-03-29_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JUF_2018-04-01_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNQ_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNR_2018-04-04_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50KPV_2018-04-04_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JML_2018-04-04_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JPS_2018-04-07_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JVF_2018-04-08_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50JQP_2018-04-11_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPJ_2018-04-11_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HQJ_2018-04-11_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JLT_2018-04-17_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JUF_2018-04-18_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKN_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQL_2018-04-21_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JVF_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQM_2018-04-24_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HXE_2018-04-25_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HLG_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HMG_2018-07-23_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHS_2018-08-08_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPG_2018-08-09_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HLH_2018-08-22_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUB_2018-09-11_final.stac-item
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-02-18 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2019-02-18_final.stac-item
2019-02-19 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2019-02-19_final.stac-item
2019-03-10 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2019-03-10_final
2019-04-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2019-04-09_final
2019-04-19 11:47:30	ga_s2bm_ard_3-2-1_50HMG_2019-04-19_final.stac-item
2019-04-23 11:27:01	ga_s2bm_ard_3-2-1_51HWC_2019-04-23_final.stac-item
2019-04-26 11:37:33	ga_s2bm_ard_3-2-1_50HNG_2019-04-26_final.stac-item
2019-05-09 11:42:22	ga_s2bm_ard_3-2-1_51KUB_2019-05-09_final.stac-item
2019-05-22 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-05-22_final
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final
2019-05-23 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-05-23_final
2019-05-25 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-05-25_final.stac-item
2019-05-26 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-26_final
2019-05-29 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-29_final
2019-05-29 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-29_final
2019-06-18 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-18_final
2019-07-22 11:27:07	ga_s2bm_ard_3-2-1_51HVC_2019-07-22_final
2019-11-12 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2019-11-12_final
2019-12-25 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2019-12-25_final
2020-01-01 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-01-01_final
2020-02-03 11:42:56	ga_s2bm_ard_3-2-1_51KTU_2020-02-03_final
2020-02-10 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2020-02-10_final.stac-item
2020-03-28 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2020-03-28_final.stac-item
2020-04-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-04-20_final
2020-06-12 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-06-12_final
2020-06-18 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-18_final
2020-08-11 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-11_final
2020-09-20 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-09-20_final
2020-11-19 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2020-11-19_final
2020-11-29 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2020-11-29_final
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final
2021-01-04 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-04_final
2021-01-09 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-09_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final.stac-item
2021-03-20 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-03-20_final.stac-item
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final.stac-item
2021-04-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-04-08_final
2021-04-28 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-04-28_final
2021-05-18 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-05-18_final
2021-05-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-05-28_final.stac-item
2021-06-04 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-06-04_final
2021-06-11 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2021-06-11_final
2021-06-11 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-11_final
2021-06-13 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-13_final.stac-item
2021-06-27 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-27_final.stac-item
2021-06-28 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2021-06-28_final
2021-07-31 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-07-31_final.stac-item
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final
2021-08-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-13_final
2021-08-20 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2021-08-20_final
2021-09-22 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2021-09-22_final
2021-12-04 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-12-04_final
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final.stac-item
2022-08-27 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2022-08-27_final.stac-item
2022-12-29 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-12-29_final.stac-item
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final.stac-item
2023-04-14 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-04-14_final.stac-item
2023-05-18 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-18_final.stac-item
2023-05-18 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-05-18_final.stac-item
2023-05-28 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-05-28_final.stac-item
2023-06-03 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-06-03_final.stac-item
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final.stac-item
2023-12-14 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2023-12-14_final.stac-item
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_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