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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KDV_2017-07-09_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51LUF_2017-11-15_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KWB_2018-01-14_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KXS_2018-01-21_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KVT_2018-05-04_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-05-31_final
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51HWC_2018-08-23_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNH_2018-09-11_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWU_2018-10-18_final
2018-11-17 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2018-11-17_final
2018-11-20 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2018-11-20_final
2019-01-19 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-01-19_final
2019-01-20 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-01-20_final
2019-02-25 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2019-02-25_final
2019-03-13 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-03-13_final.stac-item
2019-03-17 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2019-03-17_final
2019-05-13 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-05-13_final
2019-06-29 11:14:03	ga_s2bm_ard_3-2-1_52KBV_2019-06-29_final
2019-07-05 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-05_final
2019-10-20 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2019-10-20_final
2019-12-25 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2019-12-25_final
2019-12-29 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-29_final
2020-01-08 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2020-01-08_final
2020-02-13 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final
2020-02-20 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-02-20_final
2020-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-03-04_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-10_final
2020-03-14 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-03-14_final
2020-05-14 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2020-05-14_final
2020-05-30 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-05-30_final
2020-06-13 11:13:21	ga_s2bm_ard_3-2-1_52KDB_2020-06-13_final
2020-07-06 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-07-06_final
2020-08-01 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-08-01_final
2020-08-25 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-08-25_final
2020-08-28 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2020-08-28_final
2020-09-14 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-09-14_final
2020-09-21 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2020-09-21_final
2020-12-19 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2020-12-19_final
2020-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-12-26_final
2020-12-26 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-12-26_final
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final
2021-01-12 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-01-12_final
2021-02-04 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-02-04_final
2021-02-14 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-14_final
2021-02-24 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-24_final
2021-03-03 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2021-03-03_final
2021-03-13 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2021-03-13_final
2021-04-02 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-04-02_final
2021-05-19 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-05-19_final
2021-06-14 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-06-14_final
2021-06-15 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2021-06-15_final
2021-07-28 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2021-07-28_final
2021-07-28 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2021-07-28_final
2021-08-22 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-08-22_final
2021-09-09 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-09-09_final
2021-10-02 11:37:21	ga_s2bm_ard_3-2-1_50HPG_2021-10-02_final.stac-item
2021-10-29 11:24:06	ga_s2bm_ard_3-2-1_51KZP_2021-10-29_final
2021-11-18 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2021-11-18_final
2021-11-21 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2021-11-21_final
2021-11-21 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2021-11-21_final
2021-12-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-11_final
2022-01-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2022-01-03_final
2022-01-24 11:13:10	ga_s2bm_ard_3-2-1_52KEB_2022-01-24_final
2022-04-10 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-04-10_final
2022-05-07 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2022-05-07_final
2022-05-10 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-05-10_final
2022-05-27 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2022-05-27_final
2022-06-03 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2022-06-03_final
2022-06-29 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2022-06-29_final
2022-08-02 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2022-08-02_final
2022-08-05 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2022-08-05_final
2022-09-27 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2022-09-27_final.stac-item
2022-10-07 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-10-07_final.stac-item
2022-10-31 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2022-10-31_final.stac-item
2022-12-26 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2022-12-26_final.stac-item
2023-01-02 11:24:07	ga_s2bm_ard_3-2-1_51KYP_2023-01-02_final.stac-item
2023-01-18 11:42:14	ga_s2bm_ard_3-2-1_51KUB_2023-01-18_final.stac-item
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final.stac-item
2023-04-25 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-04-25_final.stac-item
2023-04-25 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2023-04-25_final.stac-item
2023-05-28 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-05-28_final.stac-item
2023-05-29 11:13:52	ga_s2bm_ard_3-2-1_52KDV_2023-05-29_final.stac-item
2023-06-01 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-06-01_final.stac-item
2023-07-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-07_final.stac-item
2023-07-18 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-07-18_final.stac-item
2023-08-20 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2023-08-20_final.stac-item
2023-09-02 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-09-02_final.stac-item
2023-09-19 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2023-09-19_final.stac-item
2023-09-29 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-09-29_final.stac-item
2023-10-15 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-10-15_final.stac-item
2023-10-19 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2023-10-19_final.stac-item
2023-10-25 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2023-10-25_final.stac-item
2023-10-29 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2023-10-29_final.stac-item
2023-10-30 10:55:48	ga_s2bm_ard_3-2-1_52JFM_2023-10-30_final.stac-item
2023-11-14 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-11-14_final.stac-item
2023-12-18 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2023-12-18_final.stac-item
2023-12-21 11:36:03	ga_s2bm_ard_3-2-1_51JVG_2023-12-21_final.stac-item
2024-01-30 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2024-01-30_final.stac-item
2024-02-05 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2024-02-05_final.stac-item
2024-04-26 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-04-26_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