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
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_52JFN_2018-01-29_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51LYC_2018-03-29_final
2018-05-31 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-05-31_final
2018-06-14 11:10:36	ga_s2bm_ard_3-2-1_52KBV_2018-06-14_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWS_2018-07-10_final
2018-07-11 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2018-07-11_final
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51KUU_2018-08-22_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWU_2018-10-18_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXS_2018-10-25_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HWE_2018-11-04_final
2018-12-14 11:23:00	ga_s2bm_ard_3-2-1_52KBC_2018-12-14_final
2018-12-14 11:23:00	ga_s2bm_ard_3-2-1_51KZT_2018-12-14_final
2019-01-06 11:36:01	ga_s2bm_ard_3-2-1_51JTG_2019-01-06_final
2019-01-26 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2019-01-26_final
2019-02-05 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-02-05_final
2019-02-12 11:25:34	ga_s2bm_ard_3-2-1_51JYH_2019-02-12_final
2019-05-13 11:23:59	ga_s2bm_ard_3-2-1_51KZQ_2019-05-13_final
2019-06-22 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-06-22_final
2019-07-09 11:13:42	ga_s2bm_ard_3-2-1_52KDA_2019-07-09_final
2019-07-16 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-16_final
2019-07-29 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-07-29_final
2019-08-01 11:23:28	ga_s2bm_ard_3-2-1_52KBB_2019-08-01_final
2019-08-13 12:05:58	ga_s2bm_ard_3-2-1_50JLN_2019-08-13_final
2019-08-17 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2019-08-17_final
2019-08-24 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2019-08-24_final
2019-08-25 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2019-08-25_final
2019-09-26 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-09-26_final
2019-09-27 11:16:23	ga_s2bm_ard_3-2-1_51HYE_2019-09-27_final
2019-10-27 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2019-10-27_final
2020-01-24 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-01-24_final
2020-02-27 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2020-02-27_final
2020-04-04 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-04-04_final
2020-04-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-04-16_final
2020-08-11 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2020-08-11_final
2020-09-04 11:24:22	ga_s2bm_ard_3-2-1_52JBT_2020-09-04_final
2020-09-14 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-09-14_final
2020-09-18 11:06:01	ga_s2bm_ard_3-2-1_52JEL_2020-09-18_final
2020-10-04 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-10-04_final
2020-10-10 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-10_final
2020-10-24 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-10-24_final
2020-11-16 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-11-16_final
2020-11-20 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2020-11-20_final
2020-11-30 11:14:31	ga_s2bm_ard_3-2-1_52JDS_2020-11-30_final
2021-01-15 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2021-01-15_final
2021-01-25 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2021-01-25_final
2021-03-08 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-03-08_final
2021-04-12 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2021-04-12_final
2021-06-05 11:03:06	ga_s2bm_ard_3-2-1_52KEC_2021-06-05_final
2021-06-11 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-06-11_final
2021-07-05 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2021-07-05_final
2021-07-11 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2021-07-11_final
2021-08-07 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-08-07_final
2021-08-13 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2021-08-13_final
2021-11-09 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2021-11-09_final
2021-11-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-11-17_final
2021-11-22 11:03:16	ga_s2bm_ard_3-2-1_52KEB_2021-11-22_final
2021-12-18 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2021-12-18_final
2022-01-21 11:03:04	ga_s2bm_ard_3-2-1_52KHB_2022-01-21_final
2022-02-08 12:03:27	ga_s2bm_ard_3-2-1_50KNB_2022-02-08_final
2022-03-27 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2022-03-27_final
2022-04-10 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-04-10_final
2022-04-14 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-04-14_final
2022-04-20 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2022-04-20_final
2022-04-26 11:55:28	ga_s2bm_ard_3-2-1_50JNP_2022-04-26_final
2022-04-29 12:03:16	ga_s2bm_ard_3-2-1_50KMC_2022-04-29_final
2022-05-17 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2022-05-17_final
2022-05-20 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-20_final
2022-05-29 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2022-05-29_final
2022-06-12 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2022-06-12_final
2022-06-19 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2022-06-19_final
2022-08-11 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2022-08-11_final
2022-08-15 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2022-08-15_final
2022-08-25 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2022-08-25_final
2022-09-03 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2022-09-03_final.stac-item
2022-09-24 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2022-09-24_final.stac-item
2022-10-04 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2022-10-04_final.stac-item
2022-10-24 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2022-10-24_final.stac-item
2022-10-28 11:03:28	ga_s2bm_ard_3-2-1_52KFA_2022-10-28_final.stac-item
2022-12-14 10:54:09	ga_s2bm_ard_3-2-1_52JHT_2022-12-14_final.stac-item
2023-01-02 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2023-01-02_final.stac-item
2023-01-29 11:14:50	ga_s2bm_ard_3-2-1_52JBR_2023-01-29_final.stac-item
2023-02-04 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-02-04_final.stac-item
2023-03-03 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2023-03-03_final.stac-item
2023-03-06 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-06_nrt.stac-item
2023-04-05 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-04-05_final.stac-item
2023-04-08 11:42:01	ga_s2bm_ard_3-2-1_51LVC_2023-04-08_final.stac-item
2023-05-03 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-05-03_final.stac-item
2023-08-03 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-08-03_final.stac-item
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final.stac-item
2023-08-23 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2023-08-23_final.stac-item
2023-09-24 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-09-24_final.stac-item
2023-10-02 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2023-10-02_final.stac-item
2023-10-26 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2023-10-26_final.stac-item
2023-10-27 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2023-10-27_final.stac-item
2023-11-18 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-11-18_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-31 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-12-31_final.stac-item
2024-01-30 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2024-01-30_final.stac-item
2024-02-16 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2024-02-16_final.stac-item
2024-02-26 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-02-26_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