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_49JGL_2017-10-12_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51KXT_2017-11-09_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KTU_2018-01-14_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUB_2018-03-15_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVS_2018-05-11_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KVS_2018-05-31_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUV_2018-06-03_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KXA_2018-07-10_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JWF_2018-07-27_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXP_2018-07-30_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50JPL_2018-08-12_final
2018-10-10 12:13:17	ga_s2bm_ard_3-2-1_49KHR_2018-10-10_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPC_2018-10-24_final
2019-01-16 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-01-16_final
2019-04-15 12:04:04	ga_s2bm_ard_3-2-1_50KKA_2019-04-15_final
2019-04-16 11:33:28	ga_s2bm_ard_3-2-1_51KUT_2019-04-16_final
2019-04-20 11:14:44	ga_s2bm_ard_3-2-1_51JZM_2019-04-20_final
2019-06-28 11:42:07	ga_s2bm_ard_3-2-1_51LVC_2019-06-28_final
2019-07-02 11:23:19	ga_s2bm_ard_3-2-1_51KYT_2019-07-02_final
2019-09-03 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2019-09-03_final
2019-09-16 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-09-16_final
2019-11-12 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-11-12_final
2019-11-22 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2019-11-22_final
2020-01-11 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2020-01-11_final
2020-02-10 11:35:32	ga_s2bm_ard_3-2-1_50JQP_2020-02-10_final
2020-02-27 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2020-02-27_final
2020-03-02 11:05:06	ga_s2bm_ard_3-2-1_52JCQ_2020-03-02_final
2020-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-11_final
2020-03-11 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-03-11_final
2020-03-21 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2020-03-21_final
2020-03-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-03-30_final
2020-04-20 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2020-04-20_final
2020-05-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2020-05-26_final
2020-06-27 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2020-06-27_final
2020-07-02 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-07-02_final
2020-07-09 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-07-09_final
2020-07-23 11:13:16	ga_s2bm_ard_3-2-1_52KBC_2020-07-23_final
2020-07-29 11:32:47	ga_s2bm_ard_3-2-1_51KXV_2020-07-29_final
2020-08-04 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2020-08-04_final
2020-10-10 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final
2020-10-10 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-10_final
2021-01-01 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-01-01_final.stac-item
2021-01-15 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-01-15_final
2021-02-01 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-02-01_final
2021-02-01 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2021-02-01_final
2021-02-04 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2021-02-04_final
2021-02-27 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2021-02-27_final
2021-03-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-03-29_final
2021-05-08 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2021-05-08_final
2021-05-12 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2021-05-12_final
2021-05-28 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2021-05-28_final
2021-06-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-03_final
2021-06-07 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-06-07_final
2021-06-28 11:15:23	ga_s2bm_ard_3-2-1_52JBP_2021-06-28_final
2021-10-05 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-10-05_final
2021-11-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-11-18_final
2021-12-11 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-11_final
2021-12-17 11:56:16	ga_s2bm_ard_3-2-1_50JML_2021-12-17_final
2021-12-18 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2021-12-18_final
2021-12-28 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-12-28_final
2021-12-31 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-31_final
2022-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-01-07_final
2022-01-23 11:41:53	ga_s2bm_ard_3-2-1_51LVC_2022-01-23_final
2022-03-18 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2022-03-18_final
2022-04-17 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-04-17_final
2022-04-20 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2022-04-20_final
2022-05-10 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-05-10_final
2022-05-10 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-05-10_final
2022-07-02 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2022-07-02_final
2022-07-19 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-07-19_final
2022-07-26 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2022-07-26_final
2022-07-29 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2022-07-29_final
2022-08-18 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2022-08-18_final
2022-11-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2022-11-06_final.stac-item
2022-11-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-11-16_final.stac-item
2022-12-14 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2022-12-14_final.stac-item
2022-12-17 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2022-12-17_final.stac-item
2022-12-20 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2022-12-20_final.stac-item
2023-01-03 10:54:51	ga_s2bm_ard_3-2-1_52JGQ_2023-01-03_final.stac-item
2023-01-05 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2023-01-05_final.stac-item
2023-01-15 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2023-01-15_final.stac-item
2023-02-06 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-06_final.stac-item
2023-02-14 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2023-02-14_final.stac-item
2023-02-27 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-02-27_final.stac-item
2023-05-31 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-05-31_final.stac-item
2023-06-11 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-06-11_final.stac-item
2023-06-14 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-06-14_final.stac-item
2023-08-26 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-08-26_final.stac-item
2023-09-01 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-09-01_final.stac-item
2023-09-25 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2023-09-25_final.stac-item
2023-10-16 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-10-16_final.stac-item
2023-11-04 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-11-04_final.stac-item
2023-12-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2023-12-04_final.stac-item
2024-01-20 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2024-01-20_final.stac-item
2024-01-30 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2024-01-30_final.stac-item
2024-03-10 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2024-03-10_final.stac-item
2024-04-09 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-09_final.stac-item
2024-04-19 11:32:27	ga_s2bm_ard_3-2-1_51KXA_2024-04-19_final.stac-item
2024-04-22 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-04-22_final.stac-item
2024-04-29 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2024-04-29_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