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
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUU_2018-02-13_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51LVC_2018-03-15_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNH_2018-04-24_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXQ_2018-06-10_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KUS_2018-06-13_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPH_2018-06-20_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KYT_2018-06-30_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KXT_2018-07-17_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KYR_2018-07-17_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KZS_2018-08-16_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KWU_2018-09-08_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KZP_2018-09-25_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50JPL_2018-10-18_final
2018-11-09 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-11-09_final
2018-11-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-11-24_final
2019-01-06 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2019-01-06_final
2019-03-27 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-03-27_final
2019-04-03 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-04-03_final
2019-04-06 11:32:54	ga_s2bm_ard_3-2-1_51KYU_2019-04-06_final
2019-05-09 11:43:05	ga_s2bm_ard_3-2-1_51KVU_2019-05-09_final
2019-05-16 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-05-16_final
2019-06-18 11:47:01	ga_s2bm_ard_3-2-1_50HQH_2019-06-18_final
2019-07-06 11:05:28	ga_s2bm_ard_3-2-1_52JDP_2019-07-06_final
2019-07-08 11:45:38	ga_s2bm_ard_3-2-1_51JTJ_2019-07-08_final
2019-08-08 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-08-08_final
2019-10-07 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2019-10-07_final
2019-11-29 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2019-11-29_final
2019-12-09 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2019-12-09_final
2019-12-16 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2019-12-16_final
2019-12-19 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2019-12-19_final
2019-12-25 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2019-12-25_final
2020-02-07 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2020-02-07_final
2020-04-16 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2020-04-16_final
2020-04-27 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2020-04-27_final
2020-05-20 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2020-05-20_final
2020-06-06 11:23:37	ga_s2bm_ard_3-2-1_52KBA_2020-06-06_final
2020-06-13 11:13:31	ga_s2bm_ard_3-2-1_51KZS_2020-06-13_final
2020-06-16 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-06-16_final
2020-06-23 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2020-06-23_final
2020-07-13 11:13:27	ga_s2bm_ard_3-2-1_52KBB_2020-07-13_final
2020-07-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2020-07-16_final
2020-07-29 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-07-29_final
2020-08-25 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2020-08-25_final
2020-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-09-10_final
2020-10-22 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2020-10-22_final
2020-10-24 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2020-10-24_final
2020-11-08 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2020-11-08_final
2020-11-16 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2020-11-16_final
2020-12-20 11:14:34	ga_s2bm_ard_3-2-1_52JBS_2020-12-20_final
2021-02-03 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2021-02-03_final
2021-03-02 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-03-02_final
2021-04-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-04-08_final
2021-05-05 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2021-05-05_final
2021-05-29 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2021-05-29_final
2021-07-08 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2021-07-08_final
2021-09-21 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-09-21_final
2021-09-29 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2021-09-29_final
2021-10-25 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2021-10-25_final
2021-11-10 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-10_final
2021-11-26 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2021-11-26_final
2022-03-08 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-03-08_final
2022-03-27 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2022-03-27_final
2022-03-31 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2022-03-31_final
2022-03-31 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-03-31_final
2022-07-06 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2022-07-06_final
2022-07-29 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2022-07-29_final
2022-07-29 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-07-29_final
2022-08-18 11:33:26	ga_s2bm_ard_3-2-1_51KXS_2022-08-18_final
2022-08-25 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2022-08-25_final
2022-10-14 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2022-10-14_final.stac-item
2022-10-27 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-10-27_final.stac-item
2022-10-28 11:04:23	ga_s2bm_ard_3-2-1_52JGS_2022-10-28_final.stac-item
2022-11-04 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2022-11-04_final.stac-item
2023-01-05 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-01-05_final.stac-item
2023-01-25 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2023-01-25_final.stac-item
2023-02-18 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2023-02-18_final.stac-item
2023-02-24 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2023-02-24_final.stac-item
2023-03-25 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2023-03-25_final.stac-item
2023-04-09 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-09_final.stac-item
2023-04-25 11:33:25	ga_s2bm_ard_3-2-1_51KXS_2023-04-25_final.stac-item
2023-04-25 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2023-04-25_final.stac-item
2023-05-05 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-05-05_final.stac-item
2023-05-24 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-05-24_final.stac-item
2023-06-01 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2023-06-01_final.stac-item
2023-06-08 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2023-06-08_final.stac-item
2023-06-19 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2023-06-19_final.stac-item
2023-07-14 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-07-14_final.stac-item
2023-07-24 11:34:09	ga_s2bm_ard_3-2-1_51KUQ_2023-07-24_final.stac-item
2023-08-13 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2023-08-13_final.stac-item
2023-08-23 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-08-23_final.stac-item
2023-10-03 11:04:37	ga_s2bm_ard_3-2-1_52JGR_2023-10-03_final.stac-item
2023-12-13 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-13_final.stac-item
2024-01-12 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2024-01-12_final.stac-item
2024-01-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2024-01-13_final.stac-item
2024-01-17 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2024-01-17_final.stac-item
2024-02-09 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2024-02-09_final.stac-item
2024-03-18 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2024-03-18_final.stac-item
2024-04-09 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2024-04-09_final.stac-item
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_final.stac-item
2024-04-19 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2024-04-19_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