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
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPG_2018-01-04_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXS_2018-01-21_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVA_2018-02-10_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVS_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUT_2018-02-23_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVR_2018-03-02_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-03-21_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KRD_2018-03-25_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HWC_2018-03-29_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWR_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPK_2018-04-01_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JPL_2018-04-01_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HXE_2018-04-05_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVM_2018-04-11_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KTU_2018-04-14_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JPL_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HLH_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNR_2018-04-24_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQD_2018-07-06_final.stac-item
2018-08-15 11:43:38	ga_s2bm_ard_3-2-1_50JPS_2018-08-15_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KTU_2018-10-01_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVR_2018-10-08_final
2018-11-30 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2018-11-30_final
2019-02-25 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2019-02-25_final
2019-03-14 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2019-03-14_final
2019-04-16 11:33:33	ga_s2bm_ard_3-2-1_51KWS_2019-04-16_final
2019-05-19 11:43:09	ga_s2bm_ard_3-2-1_51KUU_2019-05-19_final
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final
2019-07-22 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-07-22_final
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final
2019-10-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-10-13_final
2019-10-23 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2019-10-23_final
2019-10-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-10-30_final
2019-11-12 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-11-12_final
2019-12-22 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-22_final
2019-12-25 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2019-12-25_final.stac-item
2020-02-23 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2020-02-23_final
2020-03-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-14_final
2020-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-04-20_final
2020-04-30 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2020-04-30_final
2020-05-26 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final
2020-06-09 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-06-09_final
2020-06-29 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-29_final
2020-07-19 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-07-19_final
2020-09-03 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-09-03_final
2020-10-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-10-30_final
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final
2020-12-19 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2020-12-19_final
2021-01-05 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-01-05_final
2021-03-06 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-03-06_final
2021-05-02 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2021-05-02_final
2021-05-15 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-05-15_final
2021-05-25 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-05-25_final.stac-item
2021-06-17 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-06-17_final.stac-item
2021-06-24 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-06-24_final
2021-06-30 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2021-06-30_final.stac-item
2021-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-10_final.stac-item
2021-07-14 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-14_final
2021-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2021-07-24_final
2021-07-31 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2021-07-31_final
2021-08-09 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2021-08-09_final
2021-08-10 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2021-08-10_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-08-22_final.stac-item
2021-09-02 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2021-09-02_final
2021-09-12 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2021-09-12_final
2021-09-19 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2021-09-19_final
2021-11-01 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2021-11-01_final
2021-11-24 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2021-11-24_final.stac-item
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final.stac-item
2022-04-10 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-04-10_final
2022-06-29 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2022-06-29_final
2022-06-29 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-06-29_final
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-09-14 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2022-09-14_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-16_final.stac-item
2022-09-20 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-09-20_final.stac-item
2022-09-30 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-09-30_final.stac-item
2022-10-20 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2022-10-20_final.stac-item
2022-11-26 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2022-11-26_final.stac-item
2022-12-06 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2022-12-06_final.stac-item
2023-01-25 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2023-01-25_final.stac-item
2023-02-07 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-02-07_final.stac-item
2023-03-16 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-03-16_final.stac-item
2023-04-25 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-04-25_final.stac-item
2023-09-12 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-09-12_final.stac-item
2023-10-02 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2023-10-02_final.stac-item
2023-10-22 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-10-22_final.stac-item
2023-11-21 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2023-11-21_final.stac-item
2023-11-24 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2023-11-24_final.stac-item
2023-12-21 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-12-21_final.stac-item
2023-12-31 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-12-31_final.stac-item
2024-01-03 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2024-01-03_final.stac-item
2024-03-19 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2024-03-19_final.stac-item
2024-03-30 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2024-03-30_final.stac-item
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_final.stac-item
2024-04-26 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2024-04-26_final.stac-item
2024-04-29 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2024-04-29_final.stac-item
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-05-02_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