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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXU_2017-11-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWS_2017-11-22_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZT_2017-12-09_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWB_2018-01-21_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52KEA_2018-02-24_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMJ_2018-02-26_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KWU_2018-07-20_final
2018-11-11 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2018-11-11_final
2018-11-14 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2018-11-14_final
2018-11-20 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2018-11-20_final
2018-12-16 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-16_final
2018-12-17 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-17_final
2019-01-06 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2019-01-06_final
2019-01-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2019-01-06_final
2019-03-27 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2019-03-27_final
2019-04-10 11:13:21	ga_s2bm_ard_3-2-1_52KEB_2019-04-10_final
2019-04-30 11:14:02	ga_s2bm_ard_3-2-1_52KBV_2019-04-30_final
2019-07-22 11:23:48	ga_s2bm_ard_3-2-1_51KYR_2019-07-22_final
2019-07-22 11:23:51	ga_s2bm_ard_3-2-1_51KXR_2019-07-22_final
2019-08-27 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2019-08-27_final
2019-09-10 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2019-09-10_final.stac-item
2020-01-11 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-01-11_final
2020-01-14 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2020-01-14_final
2020-01-25 11:13:26	ga_s2bm_ard_3-2-1_52KDA_2020-01-25_final
2020-03-11 11:33:57	ga_s2bm_ard_3-2-1_51KXQ_2020-03-11_final
2020-04-07 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2020-04-07_final
2020-04-27 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2020-04-27_final
2020-05-20 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2020-05-20_final
2020-06-19 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-06-19_final
2020-07-16 11:23:45	ga_s2bm_ard_3-2-1_51KZQ_2020-07-16_final
2020-07-20 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2020-07-20_final
2020-07-26 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-07-26_final
2020-07-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-07-29_final
2020-08-08 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-08-08_final
2020-10-04 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2020-10-04_final
2020-10-20 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-20_final.stac-item
2020-10-28 11:00:33	ga_s2bm_ard_3-2-1_52LHN_2020-10-28_final
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final
2020-11-19 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2020-11-19_final
2021-01-09 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-09_final.stac-item
2021-02-14 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-02-14_final
2021-02-28 11:10:28	ga_s2bm_ard_3-2-1_52LGN_2021-02-28_final
2021-04-22 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2021-04-22_final
2021-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-27_final
2021-07-07 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2021-07-07_final
2021-08-02 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2021-08-02_final
2021-08-03 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2021-08-03_final
2021-08-17 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2021-08-17_final
2021-08-20 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2021-08-20_final
2021-08-20 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-08-20_final
2021-08-23 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-08-23_final
2021-09-06 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2021-09-06_final
2021-11-24 11:42:13	ga_s2bm_ard_3-2-1_51KUB_2021-11-24_final.stac-item
2021-11-25 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2021-11-25_final
2021-11-30 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2021-11-30_final
2021-12-21 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2021-12-21_final
2021-12-25 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2021-12-25_final
2022-01-23 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2022-01-23_final
2022-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-04_final
2022-04-27 11:22:59	ga_s2bm_ard_3-2-1_52KBC_2022-04-27_final
2022-05-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-05-10_final
2022-08-25 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2022-08-25_final
2022-10-09 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-10-09_final.stac-item
2022-10-18 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2022-10-18_final.stac-item
2022-10-20 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2022-10-20_final.stac-item
2022-11-15 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2022-11-15_final.stac-item
2022-12-05 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2022-12-05_final.stac-item
2022-12-20 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-12-20_final.stac-item
2023-01-05 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2023-01-05_final.stac-item
2023-01-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-05_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-01-26 11:03:03	ga_s2bm_ard_3-2-1_52KEC_2023-01-26_final.stac-item
2023-01-29 11:12:47	ga_s2bm_ard_3-2-1_52KDD_2023-01-29_final.stac-item
2023-02-04 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-02-04_final.stac-item
2023-02-04 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-02-04_final.stac-item
2023-06-25 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-06-25_final.stac-item
2023-07-14 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-07-14_final.stac-item
2023-08-03 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-08-03_final.stac-item
2023-08-16 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-08-16_final.stac-item
2023-08-30 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-08-30_final.stac-item
2023-09-03 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-09-03_final.stac-item
2023-09-09 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2023-09-09_final.stac-item
2023-10-25 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2023-10-25_final.stac-item
2023-11-01 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2023-11-01_final.stac-item
2023-11-24 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2023-11-24_final.stac-item
2023-11-24 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2023-11-24_final.stac-item
2023-11-25 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2023-11-25_final.stac-item
2023-12-11 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-12-11_final.stac-item
2023-12-15 11:13:29	ga_s2bm_ard_3-2-1_52KEA_2023-12-15_final.stac-item
2024-01-04 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2024-01-04_final.stac-item
2024-01-17 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2024-01-17_final.stac-item
2024-02-02 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2024-02-02_final.stac-item
2024-02-03 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2024-02-03_final.stac-item
2024-02-29 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2024-02-29_final.stac-item
2024-03-04 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2024-03-04_final.stac-item
2024-03-20 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2024-03-20_final.stac-item
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_final.stac-item
2024-04-23 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2024-04-23_final.stac-item
2024-05-02 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2024-05-02_final.stac-item
2024-05-06 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2024-05-06_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