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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVB_2017-07-18_final
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KVT_2017-08-07_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KXR_2017-08-14_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXS_2017-12-22_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVR_2018-01-01_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KXQ_2018-02-07_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KXR_2018-02-10_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVU_2018-02-20_final
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_51KXS_2018-03-09_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HQK_2018-03-25_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51KXQ_2018-03-29_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKP_2018-04-20_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HUD_2018-04-21_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KUB_2018-05-14_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JNM_2018-05-14_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVP_2018-05-31_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUS_2018-06-03_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQH_2018-06-30_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HPK_2018-07-13_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51HUD_2018-07-30_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2018-09-18_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVV_2018-10-31_final
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final
2018-12-07 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2018-12-07_final
2019-03-10 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2019-03-10_final
2019-03-17 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2019-03-17_final
2019-07-11 11:53:44	ga_s2bm_ard_3-2-1_50KPB_2019-07-11_final
2019-07-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2019-07-12_final
2019-08-24 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2019-08-24_final
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final
2019-12-02 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2019-12-02_final
2019-12-12 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2019-12-12_final
2019-12-12 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2019-12-12_final
2019-12-22 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2019-12-22_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2020-02-20 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2020-02-20_final
2020-03-21 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2020-03-21_final
2020-04-26 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2020-04-26_final
2020-06-05 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-06-05_final.stac-item
2020-09-10 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-09-10_final
2020-11-02 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2020-11-02_final
2020-11-23 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2020-11-23_final
2021-01-02 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2021-01-02_final
2021-01-31 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2021-01-31_final
2021-03-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-03-06_final
2021-04-21 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2021-04-21_final.stac-item
2021-05-08 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-05-08_final
2021-05-11 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-05-11_final
2021-06-04 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-04_final.stac-item
2021-06-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-27_final
2021-07-24 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-24_final
2021-07-24 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2021-07-24_final
2021-07-31 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2021-07-31_final
2021-08-23 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-08-23_final
2021-11-10 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-11-10_final
2021-12-21 11:32:35	ga_s2bm_ard_3-2-1_51KXV_2021-12-21_final
2021-12-21 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2021-12-21_final
2021-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2021-12-24_final
2021-12-24 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2021-12-24_final
2022-01-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-01-23_final
2022-02-15 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-15_final
2022-03-07 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2022-03-07_final
2022-03-14 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-03-14_final
2022-04-07 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2022-04-07_final
2022-05-03 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-05-03_final
2022-06-06 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2022-06-06_final
2022-06-09 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2022-06-09_final
2022-06-19 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2022-06-19_final
2022-08-08 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-08-08_final
2022-08-31 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2022-08-31_final
2022-08-31 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2022-08-31_final.stac-item
2022-09-07 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2022-09-07_final.stac-item
2022-09-20 13:21:39	ga_s2bm_ard_3-2-1_47LKH_2022-09-20_interim.stac-item
2022-10-07 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-10-07_final.stac-item
2022-10-30 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2022-10-30_final.stac-item
2022-11-05 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-11-05_final.stac-item
2023-03-06 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-03-06_final.stac-item
2023-03-19 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-19_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-05-02 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-05-02_final.stac-item
2023-05-15 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-05-15_final.stac-item
2023-06-27 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-06-27_final.stac-item
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final.stac-item
2023-08-26 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2023-08-26_final.stac-item
2023-08-26 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-08-26_final.stac-item
2023-09-22 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2023-09-22_final.stac-item
2023-11-18 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-11-18_final.stac-item
2023-12-21 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-12-21_final.stac-item
2023-12-21 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-12-21_final.stac-item
2024-01-02 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-01-02_final.stac-item
2024-02-01 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-02-01_final.stac-item
2024-02-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-02-08_final.stac-item
2024-02-09 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-02-09_final.stac-item
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2024-02-18_final.stac-item
2024-02-28 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-02-28_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_final.stac-item
2024-03-29 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-03-29_final.stac-item
2024-04-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2024-04-16_final.stac-item
2024-05-08 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2024-05-08_final.stac-item
2024-05-12 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2024-05-12_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