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
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLN_2017-10-12_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JWK_2017-11-09_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51LUE_2018-01-24_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPB_2018-02-26_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLT_2018-03-31_final
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HNK_2018-04-04_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHQ_2018-04-20_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKN_2018-06-26_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KZQ_2018-06-27_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KVU_2018-09-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVP_2018-10-18_final
2018-11-17 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2018-11-17_final
2018-11-27 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2018-11-27_final
2019-01-19 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-02-05 11:31:59	ga_s2bm_ard_3-2-1_51KZB_2019-02-05_final
2019-03-26 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-03-26_final
2019-04-12 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2019-04-12_final
2019-04-16 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2019-04-16_final
2019-05-30 11:15:30	ga_s2bm_ard_3-2-1_52JBP_2019-05-30_final
2019-06-28 11:42:22	ga_s2bm_ard_3-2-1_51KVB_2019-06-28_final
2019-07-05 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-05_final
2019-12-22 11:31:12	ga_s2bm_ard_3-2-1_51LZE_2019-12-22_final
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final
2020-01-11 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-01-11_final
2020-01-15 11:14:40	ga_s2bm_ard_3-2-1_52JDR_2020-01-15_final
2020-02-12 12:15:15	ga_s2bm_ard_3-2-1_49JGK_2020-02-12_final
2020-02-17 11:25:09	ga_s2bm_ard_3-2-1_51JWK_2020-02-17_final
2020-03-02 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2020-03-02_final
2020-03-02 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2020-03-02_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-04-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2020-04-03_final
2020-04-23 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2020-04-23_final
2020-04-30 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2020-04-30_final
2020-06-02 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-06-02_final
2020-06-09 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-06-09_final
2020-06-30 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2020-06-30_final
2020-08-18 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2020-08-18_final
2020-08-21 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2020-08-21_final
2020-09-01 11:14:49	ga_s2bm_ard_3-2-1_52JDR_2020-09-01_final
2020-09-04 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-09-04_final
2020-09-23 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-09-23_final
2020-09-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-09-26_final
2020-09-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-09-27_final
2020-10-04 11:25:46	ga_s2bm_ard_3-2-1_51JWH_2020-10-04_final
2020-10-07 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-10-07_final
2020-11-16 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2020-11-16_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2020-11-19_final
2020-11-20 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2020-11-20_final
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final
2021-01-01 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-01-01_final
2021-01-25 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-25_final
2021-01-29 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2021-01-29_final
2021-02-14 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2021-02-14_final
2021-04-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-04-01_final
2021-04-18 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-04-18_final
2021-05-26 11:04:47	ga_s2bm_ard_3-2-1_52JER_2021-05-26_final
2021-06-14 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2021-06-14_final
2021-06-24 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-06-24_final
2021-07-08 11:14:18	ga_s2bm_ard_3-2-1_52JDT_2021-07-08_final
2021-07-20 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2021-07-20_final
2021-08-27 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2021-08-27_final
2021-09-19 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2021-09-19_final
2021-10-12 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-10-12_final
2021-10-29 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2021-10-29_final
2021-10-29 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-10-29_final
2021-11-11 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-11-11_final
2021-11-28 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2021-11-28_final
2022-02-01 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-01_final
2022-03-05 11:14:26	ga_s2bm_ard_3-2-1_51JYN_2022-03-05_final
2022-03-10 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-03-10_final
2022-06-06 11:24:09	ga_s2bm_ard_3-2-1_51KYP_2022-06-06_final
2022-07-25 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-07-25_final
2022-08-17 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-08-17_final
2022-09-06 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-06_final.stac-item
2022-09-10 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-09-10_final.stac-item
2022-09-24 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-09-24_final.stac-item
2022-09-24 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2022-09-24_final.stac-item
2022-09-26 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2022-09-26_final.stac-item
2022-09-27 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2022-09-27_final.stac-item
2022-10-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-26_final.stac-item
2022-11-20 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2022-11-20_final.stac-item
2023-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-02-13_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2023-02-27_final.stac-item
2023-05-17 12:14:35	ga_s2bm_ard_3-2-1_49KFP_2023-05-17_nrt.stac-item
2023-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-07_final.stac-item
2023-06-17 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-06-17_final.stac-item
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final.stac-item
2023-07-18 11:14:00	ga_s2bm_ard_3-2-1_51KZQ_2023-07-18_final.stac-item
2023-08-13 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2023-08-13_final.stac-item
2023-09-19 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-09-19_final.stac-item
2023-09-19 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-09-19_final.stac-item
2023-10-02 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-10-02_final.stac-item
2023-10-15 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-10-15_final.stac-item
2023-12-21 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-12-21_final.stac-item
2024-01-04 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-01-04_final.stac-item
2024-01-20 11:31:38	ga_s2bm_ard_3-2-1_51LYD_2024-01-20_final.stac-item
2024-02-08 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-02-08_final.stac-item
2024-03-11 11:04:32	ga_s2bm_ard_3-2-1_52JDS_2024-03-11_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