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_50HPJ_2017-09-23_final
2017-10-09 11:55:53	ga_s2bm_ard_3-2-1_50HMJ_2017-10-09_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KUU_2017-10-26_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KTT_2017-11-15_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_51HUD_2017-12-02_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50KQA_2017-12-05_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KVB_2018-01-11_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KQG_2018-03-28_final.stac-item
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HUC_2018-04-08_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPJ_2018-05-21_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLM_2018-07-16_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_51JXJ_2018-08-03_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPK_2018-09-18_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JUF_2018-10-08_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPC_2018-10-24_final
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final
2018-11-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2018-11-06_final
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final
2018-11-30 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2018-11-30_final
2019-01-09 11:42:15	ga_s2bm_ard_3-2-1_51KUB_2019-01-09_final.stac-item
2019-01-19 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-01-26 11:34:49	ga_s2bm_ard_3-2-1_51JTM_2019-01-26_final
2019-02-18 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-02-18_final
2019-02-28 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-02-28_final
2019-03-20 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-03-20_final
2019-04-19 11:43:21	ga_s2bm_ard_3-2-1_51KUT_2019-04-19_final
2019-04-29 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-04-29_final
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_50KKB_2019-05-05_final
2019-05-19 11:43:52	ga_s2bm_ard_3-2-1_51KUR_2019-05-19_final
2019-06-08 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-06-08_final
2019-08-04 11:34:10	ga_s2bm_ard_3-2-1_51KUQ_2019-08-04_final
2019-08-18 11:14:29	ga_s2bm_ard_3-2-1_51JZN_2019-08-18_final
2019-09-16 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-09-16_final
2020-01-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-01_final
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_50KKA_2020-01-30_final
2020-02-20 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-02-20_final
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final
2020-03-24 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2020-03-24_final.stac-item
2020-05-14 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2020-05-14_final
2020-06-12 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2020-06-12_final
2020-07-02 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-07-02_final
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final
2020-07-18 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2020-07-18_final
2020-08-14 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-08-14_final
2020-08-27 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-27_final
2020-10-10 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-10-10_final
2020-11-12 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2020-11-12_final
2020-11-16 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2020-11-16_final
2021-01-29 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-01-29_final
2021-03-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-03-16_final
2021-04-24 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-04-24_final
2021-06-07 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-06-07_final
2021-06-23 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2021-06-23_final
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final
2021-08-13 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-08-13_final
2021-09-05 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2021-09-05_final
2021-09-12 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-09-12_final
2021-10-02 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-10-02_final
2021-10-05 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2021-10-05_final
2021-11-11 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-11-11_final
2021-11-14 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-11-14_final
2021-12-11 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2021-12-11_final
2022-01-20 11:34:27	ga_s2bm_ard_3-2-1_51JUN_2022-01-20_final
2022-01-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-01-23_final
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2022-02-12_final
2022-02-12 11:46:13	ga_s2bm_ard_3-2-1_50JPL_2022-02-12_final
2022-04-27 11:25:21	ga_s2bm_ard_3-2-1_51JWJ_2022-04-27_final
2022-04-30 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-04-30_final
2022-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-20_final
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final
2022-06-22 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2022-06-22_final
2022-07-10 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2022-07-10_final
2022-07-19 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2022-07-19_final
2022-08-11 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2022-08-11_final
2022-10-10 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-10-10_final.stac-item
2022-10-27 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-10-27_final.stac-item
2022-11-05 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2022-11-05_final.stac-item
2022-11-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2022-11-29_final.stac-item
2022-11-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-11-29_final.stac-item
2022-12-09 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2022-12-09_final.stac-item
2022-12-09 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2022-12-09_final.stac-item
2023-02-13 12:03:28	ga_s2bm_ard_3-2-1_50KNB_2023-02-13_final.stac-item
2023-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-02-14_final.stac-item
2023-02-27 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2023-02-27_final.stac-item
2023-04-08 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-08_final.stac-item
2023-04-15 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2023-04-15_final.stac-item
2023-04-21 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-21_final.stac-item
2023-04-25 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-04-25_final.stac-item
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final.stac-item
2023-08-09 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-08-09_final.stac-item
2023-10-11 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-11_final.stac-item
2023-10-12 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-10-12_final.stac-item
2023-11-01 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2023-11-01_final.stac-item
2023-11-28 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2023-11-28_final.stac-item
2024-01-12 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2024-01-12_final.stac-item
2024-01-20 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2024-01-20_final.stac-item
2024-02-08 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-02-08_final.stac-item
2024-02-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-02-15_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