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
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final
2017-11-22 11:35:56	ga_s2bm_ard_3-2-1_50HQG_2017-11-22_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KVR_2017-11-25_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JTK_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWP_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-15_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51HWC_2017-12-26_final.stac-item
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWC_2018-01-08_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KTU_2018-02-13_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51JXJ_2018-04-25_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUB_2018-06-13_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KVS_2018-06-20_final
2018-07-13 11:46:48	ga_s2bm_ard_3-2-1_50HMG_2018-07-13_final.stac-item
2018-08-21 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-08-21_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUT_2018-09-11_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50KQD_2018-09-14_final.stac-item
2018-11-17 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-17_final
2018-11-27 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2018-11-27_final
2018-12-07 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-12-07_final
2018-12-07 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-07_final
2018-12-07 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2018-12-07_final
2018-12-17 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2018-12-17_final
2018-12-20 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2018-12-20_final
2018-12-27 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-12-27_final
2019-01-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-01-06_final
2019-01-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2019-01-06_final
2019-01-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-01-16_final
2019-01-19 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2019-01-19_final
2019-01-19 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2019-01-19_final
2019-01-29 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-01-29_final
2019-03-17 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-03-17_final
2019-03-24 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2019-03-24_final
2019-04-22 11:57:30	ga_s2bm_ard_3-2-1_50HLG_2019-04-22_final.stac-item
2019-06-09 11:17:06	ga_s2bm_ard_3-2-1_51HWC_2019-06-09_final.stac-item
2019-09-03 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2019-09-03_final
2019-10-03 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-03_final
2019-10-26 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2019-10-26_final.stac-item
2019-11-05 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-11-05_final.stac-item
2019-11-08 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2019-11-08_final
2019-12-18 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2019-12-18_final.stac-item
2019-12-25 11:44:21	ga_s2bm_ard_3-2-1_50JRT_2019-12-25_final
2020-01-08 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2020-01-08_final
2020-03-07 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-07_final.stac-item
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final
2020-06-28 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2020-06-28_final
2020-07-05 11:53:01	ga_s2bm_ard_3-2-1_50KRD_2020-07-05_final
2020-09-17 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-09-17_final
2020-10-16 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2020-10-16_final
2020-10-20 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2020-10-20_final
2020-10-27 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-10-27_final
2020-10-27 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-10-27_final
2020-10-30 11:44:01	ga_s2bm_ard_3-2-1_51KUQ_2020-10-30_final
2020-10-30 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-10-30_final
2020-11-06 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-11-06_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-11-09_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_51KTP_2020-11-09_final
2020-11-19 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-11-19_final.stac-item
2020-11-22 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2020-11-22_final.stac-item
2020-12-03 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2020-12-03_final
2020-12-16 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2020-12-16_final
2021-01-02 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-01-02_final
2021-02-04 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-02-04_final
2021-02-18 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-02-18_final
2021-03-06 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-03-06_final
2021-03-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-03-28_final
2021-04-05 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2021-04-05_final.stac-item
2021-04-18 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-04-18_final
2021-05-18 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2021-05-18_final
2021-06-11 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2021-06-11_final
2021-07-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-07-30_final
2021-08-02 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-08-02_final.stac-item
2021-08-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-08-09_final
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final
2021-11-14 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-11-14_final
2021-12-24 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-12-24_final
2022-01-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-10_final
2022-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-01-30_final
2022-02-09 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2022-02-09_final
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final
2022-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2022-03-04_final
2022-03-11 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2022-03-11_final
2022-03-24 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2022-03-24_final
2022-07-05 11:53:04	ga_s2bm_ard_3-2-1_50KRD_2022-07-05_final
2022-08-08 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-08-08_final
2023-01-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-05_final.stac-item
2023-03-09 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2023-03-09_final.stac-item
2023-03-12 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-03-12_final.stac-item
2023-03-29 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2023-03-29_final.stac-item
2023-07-04 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2023-07-04_final.stac-item
2023-09-02 11:33:21	ga_s2bm_ard_3-2-1_51KVT_2023-09-02_final.stac-item
2023-09-22 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-22_final.stac-item
2023-11-20 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2023-11-20_final.stac-item
2023-11-21 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2023-11-21_final.stac-item
2023-12-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-12-04_final.stac-item
2024-01-12 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2024-01-12_final.stac-item
2024-02-02 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2024-02-02_final.stac-item
2024-02-12 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-02-12_final.stac-item
2024-02-19 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2024-02-19_final.stac-item
2024-04-12 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2024-04-12_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