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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HNH_2017-07-18_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HPG_2017-08-14_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUV_2017-08-27_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2017-09-23_final
2017-10-23 11:35:50	ga_s2bm_ard_3-2-1_51HVE_2017-10-23_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRD_2018-02-23_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPG_2018-03-22_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JXN_2018-04-01_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KQG_2018-05-07_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KUV_2018-05-14_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HUC_2018-06-10_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51HUC_2018-07-10_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JML_2018-07-26_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HVD_2018-08-06_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-08-21_final
2018-12-07 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2018-12-07_final
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_50JRT_2018-12-20_final
2019-01-02 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2019-01-02_final
2019-01-19 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2019-01-19_final.stac-item
2019-01-29 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2019-01-29_final
2019-02-28 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2019-02-28_final
2019-04-02 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2019-04-02_final
2019-04-02 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2019-04-02_final
2019-05-23 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-05-23_final
2019-06-02 11:27:06	ga_s2bm_ard_3-2-1_51HVC_2019-06-02_final
2019-08-03 12:05:37	ga_s2bm_ard_3-2-1_49JGK_2019-08-03_final
2019-08-11 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2019-08-11_final
2019-08-14 11:32:26	ga_s2bm_ard_3-2-1_51KVB_2019-08-14_final
2019-08-26 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2019-08-26_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-02 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-02_final
2019-09-12 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-09-12_final
2019-09-16 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2019-09-16_final
2019-09-19 11:56:21	ga_s2bm_ard_3-2-1_50JML_2019-09-19_final
2019-10-23 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-10-23_final
2019-11-09 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2019-11-09_final
2019-11-28 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-11-28_final
2019-12-14 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-14_final
2020-05-10 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2020-05-10_final
2020-07-29 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-07-29_final
2020-08-02 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2020-08-02_final
2020-10-24 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-24_final
2020-12-18 12:13:47	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final
2020-12-29 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-12-29_final.stac-item
2021-01-15 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-01-15_final
2021-01-24 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-24_final
2021-05-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-05-15_final
2021-05-31 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-05-31_final
2021-06-11 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2021-06-11_final
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final
2021-07-16 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-16_final
2021-08-10 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-08-10_final
2021-08-29 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2021-08-29_final
2021-09-02 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-09-02_final
2021-10-22 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2021-10-22_final
2021-11-15 11:14:28	ga_s2bm_ard_3-2-1_51JYN_2021-11-15_final
2021-12-05 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-05_final
2021-12-21 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2021-12-21_final
2021-12-21 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2021-12-21_final
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2022-01-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-01-19_final
2022-03-07 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2022-03-07_final
2022-03-24 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2022-03-24_final.stac-item
2022-04-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-04-26_final
2022-05-14 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2022-05-14_final
2022-08-08 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2022-08-08_final
2022-09-06 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-09-06_final.stac-item
2022-10-16 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-16_final.stac-item
2022-10-16 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-10-16_final.stac-item
2022-10-17 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2022-10-17_final.stac-item
2022-10-23 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2022-10-23_final.stac-item
2022-10-27 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2022-10-27_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-11-19 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-11-19_final.stac-item
2022-11-19 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-19_final.stac-item
2023-01-11 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2023-01-11_final.stac-item
2023-02-01 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-02-01_final.stac-item
2023-02-11 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-02-11_final.stac-item
2023-02-28 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2023-02-28_final.stac-item
2023-04-15 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-04-15_final.stac-item
2023-04-18 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-18_final.stac-item
2023-04-28 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-04-28_final.stac-item
2023-05-01 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-05-01_final.stac-item
2023-05-18 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-18_final.stac-item
2023-05-28 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-28_final.stac-item
2023-06-07 11:47:25	ga_s2bm_ard_3-2-1_50HNG_2023-06-07_final.stac-item
2023-06-27 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2023-06-27_final.stac-item
2023-07-04 11:34:23	ga_s2bm_ard_3-2-1_51KUP_2023-07-04_final.stac-item
2023-07-04 11:36:10	ga_s2bm_ard_3-2-1_50JQM_2023-07-04_final.stac-item
2023-09-18 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-09-18_final.stac-item
2023-10-02 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2023-10-02_final.stac-item
2023-10-19 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-10-19_final.stac-item
2023-11-14 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2023-11-14_final.stac-item
2023-11-14 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-11-14_final.stac-item
2023-11-21 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2023-11-21_final.stac-item
2023-11-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2023-11-24_final.stac-item
2023-12-21 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-12-21_final.stac-item
2024-01-19 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-01-19_final.stac-item
2024-01-20 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-01-20_final.stac-item
2024-01-26 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2024-01-26_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