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
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUV_2017-11-05_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-18_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVR_2017-12-22_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPJ_2018-01-11_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWU_2018-01-21_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_51HYE_2018-04-15_final
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_50KKA_2018-06-22_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMJ_2018-07-16_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGL_2018-10-07_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUV_2018-10-11_final
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final
2018-12-24 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2018-12-24_final
2019-01-13 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2019-01-13_final
2019-04-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2019-04-02_final
2019-04-03 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2019-04-03_final
2019-04-05 12:03:30	ga_s2bm_ard_3-2-1_50KLC_2019-04-05_final
2019-04-06 11:33:27	ga_s2bm_ard_3-2-1_51KXS_2019-04-06_final
2019-05-26 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-05-26_final
2019-08-01 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-08-01_final
2019-10-20 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2019-10-20_final
2019-11-12 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-11-12_final
2019-11-22 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2019-11-22_final
2020-01-28 11:22:59	ga_s2bm_ard_3-2-1_51KZT_2020-01-28_final
2020-02-06 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-02-06_final
2020-02-07 11:23:33	ga_s2bm_ard_3-2-1_51KYR_2020-02-07_final
2020-02-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-02-19_final
2020-02-20 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2020-02-20_final
2020-02-27 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2020-02-27_final
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final
2020-03-28 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2020-03-28_final
2020-04-27 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2020-04-27_final
2020-06-29 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2020-06-29_final
2020-07-13 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2020-07-13_final
2020-08-01 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2020-08-01_final.stac-item
2020-08-15 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-08-15_final
2020-09-27 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-09-27_final
2020-10-14 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-14_final
2020-10-20 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-20_final
2020-11-03 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2020-11-03_final
2020-12-26 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-12-26_final
2020-12-26 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2020-12-26_final
2020-12-29 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-12-29_final
2021-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-01-04_final
2021-02-14 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-02-14_final
2021-02-14 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-14_final
2021-03-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-03-02_final.stac-item
2021-03-03 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-03-03_final
2021-03-23 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-03-23_final
2021-05-21 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-05-21_final
2021-05-22 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-05-22_final
2021-07-21 11:23:08	ga_s2bm_ard_3-2-1_52KBC_2021-07-21_final
2021-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-08_final
2021-10-12 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-10-12_final
2021-11-04 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-11-04_final
2021-11-08 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-11-08_final
2021-11-28 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-11-28_final
2021-12-08 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2021-12-08_final
2022-01-03 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-01-03_final
2022-01-23 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2022-01-23_final
2022-02-02 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-02_final
2022-02-19 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-19_final
2022-02-26 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2022-02-26_final
2022-03-31 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-03-31_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-05-30 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-30_final
2022-06-12 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2022-06-12_final
2022-07-15 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2022-07-15_final.stac-item
2022-08-22 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2022-08-22_final.stac-item
2022-09-04 11:22:43	ga_s2bm_ard_3-2-1_51KYV_2022-09-04_final.stac-item
2022-09-11 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2022-09-11_final.stac-item
2022-09-15 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2022-09-15_final.stac-item
2022-09-25 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2022-09-25_final.stac-item
2022-11-09 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2022-11-09_final.stac-item
2022-11-09 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-11-09_final.stac-item
2022-11-10 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-11-10_final.stac-item
2022-12-10 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2022-12-10_final.stac-item
2023-01-15 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2023-01-15_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-04-15 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-04-15_final.stac-item
2023-04-25 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-04-25_final.stac-item
2023-04-28 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2023-04-28_final.stac-item
2023-05-23 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2023-05-23_final.stac-item
2023-05-25 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-05-25_final.stac-item
2023-05-25 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-05-25_final.stac-item
2023-06-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-16_final.stac-item
2023-07-07 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-07_final.stac-item
2023-07-20 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-07-20_final.stac-item
2023-08-17 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2023-08-17_final.stac-item
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final.stac-item
2023-10-25 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2023-10-25_final.stac-item
2023-11-08 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-11-08_final.stac-item
2024-01-03 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-01-03_final.stac-item
2024-01-04 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-01-04_final.stac-item
2024-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2024-01-07_final.stac-item
2024-01-10 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2024-01-10_final.stac-item
2024-01-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-01-17_final.stac-item
2024-02-22 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-22_final.stac-item
2024-04-16 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-04-16_final.stac-item
2024-04-26 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2024-04-26_nrt.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