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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVS_2017-11-12_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVT_2017-11-12_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLG_2017-11-15_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-05_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMH_2017-12-18_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-02-09_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50HPG_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWD_2018-04-05_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51JWF_2018-04-05_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KXT_2018-04-11_final
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HPG_2018-04-11_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNP_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPL_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPT_2018-04-24_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HWC_2018-04-25_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVU_2018-05-11_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49KHS_2018-05-20_final.stac-item
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHQ_2018-05-30_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KXS_2018-06-30_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPG_2018-07-23_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51HWC_2018-08-13_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JMN_2018-08-15_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWS_2018-08-19_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KXS_2018-08-26_final
2018-09-08 11:37:08	ga_s2bm_ard_3-2-1_50HPG_2018-09-08_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KWS_2018-09-18_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KXS_2018-09-18_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMG_2018-10-01_final.stac-item
2019-02-05 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-02-05_final
2019-03-20 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2019-03-20_final
2019-03-27 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2019-03-27_final
2019-04-26 11:33:02	ga_s2bm_ard_3-2-1_51KXU_2019-04-26_final
2019-05-09 11:47:33	ga_s2bm_ard_3-2-1_50HMG_2019-05-09_final.stac-item
2019-05-16 11:32:53	ga_s2bm_ard_3-2-1_51KXV_2019-05-16_final
2019-05-23 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-05-23_final
2019-06-12 11:24:09	ga_s2bm_ard_3-2-1_51KWQ_2019-06-12_final
2019-09-03 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2019-09-03_final
2019-09-07 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2019-09-07_final.stac-item
2019-09-26 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-09-26_final
2019-11-05 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-11-05_final
2020-01-21 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2020-01-21_final
2020-02-12 12:13:35	ga_s2bm_ard_3-2-1_49KHS_2020-02-12_final.stac-item
2020-03-31 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2020-03-31_final
2020-05-30 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-05-30_final
2020-06-06 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2020-06-06_final
2020-06-16 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2020-06-16_final
2020-07-19 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-07-19_final
2020-08-18 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-08-18_final
2020-08-28 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-08-28_final
2020-09-20 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-09-20_final.stac-item
2020-12-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2020-12-06_final
2021-01-15 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-01-15_final
2021-01-28 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-28_final
2021-02-24 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-24_final
2021-03-29 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-03-29_final.stac-item
2021-04-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2021-04-08_final
2021-04-22 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2021-04-22_final
2021-04-25 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2021-04-25_final
2021-05-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-05-15_final
2021-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-05-28_final.stac-item
2021-06-14 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-14_final.stac-item
2021-06-17 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2021-06-17_final
2021-06-21 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2021-06-21_final
2021-06-24 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-06-24_final
2021-07-11 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2021-07-11_final
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2021-07-23_final.stac-item
2021-07-27 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2021-07-27_final.stac-item
2021-08-06 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-08-06_final
2021-08-16 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-08-16_final
2021-08-23 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-08-23_final
2021-09-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2021-09-22_final
2021-09-22 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2021-09-22_final
2021-10-02 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-10-02_final
2021-12-31 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2021-12-31_final
2021-12-31 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-12-31_final
2022-01-30 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-01-30_final
2022-02-19 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-19_final
2022-04-07 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2022-04-07_final
2022-05-03 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-05-03_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-18_final.stac-item
2022-08-18 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-08-18_final
2022-09-24 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-09-24_final.stac-item
2022-10-27 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-10-27_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-04-18 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2023-04-18_final.stac-item
2023-04-25 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-04-25_final.stac-item
2023-06-13 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-06-13_final.stac-item
2023-07-04 11:33:47	ga_s2bm_ard_3-2-1_51KWR_2023-07-04_final.stac-item
2023-07-17 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-17_final.stac-item
2023-07-17 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-17_final.stac-item
2023-09-22 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-22_final.stac-item
2023-10-12 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2023-10-12_final.stac-item
2023-10-12 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-10-12_final.stac-item
2024-01-03 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-01-03_final.stac-item
2024-01-20 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2024-01-20_final.stac-item
2024-02-29 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-02-29_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