Agriculture
20 columns
72 rows
8 formats

Satellite Livestock Health Log

This dataset provides granular, time-stamped logs of livestock herd health, integrating satellite imagery, sensor data, and environmental conditions to enable early detection of disease, stress, and operational anomalies. It empowers agriculture professionals to optimize animal wellness, respond proactively to climate threats, and improve farm resilience through actionable insights.

last updated 1 Feb 2026
by GoMask

The brief that made it

Early detection of livestock disease outbreaks

Sample rows

preview · 8 of 72 rows · all 20 columns

log_idstring	anomaly_typestring	average_body_temperaturefloat	anomaly_detectedboolean	herd_idstring	herd_namestring	farm_idstring	farm_namestring	location_latitudefloat	location_longitudefloat	log_datetimedatetime	satellite_image_idstring	sensor_idstring	animal_countinteger	average_activity_levelfloat	anomaly_severityinteger	weather_temperaturefloat	weather_humidityfloat	weather_precipitationfloat	notesstring
LOG-1A2B3C4D	blank	38.7	false	HERD-001	Sunrise Cattle	FARM-01	Green Acres Ranch	36.7783	-119.4179	2023-05-15T10:14:37	SAT-IMG-2001	SENSOR-1001	82	0.88	blank	23.1	48.6	0	Normal grazing observed.
LOG-2B3C4D5E	blank	39.2	false	HERD-002	River Valley Sheep	FARM-02	River Valley Farm	34.0522	-118.2437	2023-05-15T15:21:10	SAT-IMG-2002	SENSOR-1002	153	0.91	blank	27.8	35.2	0.5	No unusual activity detected.
LOG-3C4D5E6F	low_activity	39	true	HERD-003	Oak Hill Goats	FARM-03	Oak Hill Estate	38.5816	-121.4944	2023-05-16T08:05:24	SAT-IMG-2003	SENSOR-1003	47	0.72	2	19.7	56.7	0	Activity below average, possible mild fatigue.
LOG-4D5E6F7G	blank	38.6	false	HERD-004	Red Barn Dairy	FARM-04	Red Barn Dairy	37.7749	-122.4194	2023-05-16T12:47:42	SAT-IMG-2004	SENSOR-1004	60	0.95	blank	21.3	70.1	1.2	Excellent herd health.
LOG-5E6F7G8H	blank	38.5	false	HERD-001	Sunrise Cattle	FARM-01	Green Acres Ranch	36.7783	-119.4179	2023-05-16T17:32:18	SAT-IMG-2005	SENSOR-1001	81	0.79	blank	22.9	46.9	0	No issues reported.
LOG-6F7G8H9I	blank	37.8	false	HERD-005	Meadowland Horses	FARM-05	Meadowland Stables	39.5296	-119.8138	2023-05-17T07:50:33	SAT-IMG-2006	SENSOR-1010	28	0.97	blank	18.2	29.9	0	High energy and movement.
LOG-7G8H9I0J	disease	39.1	true	HERD-006	Willow Sheep	FARM-02	River Valley Farm	34.0522	-118.2437	2023-05-17T13:25:49	SAT-IMG-2007	SENSOR-1002	127	0.84	4	25	38.4	0	Signs of respiratory illness in several animals.
LOG-8H9I0J1K	blank	39.3	false	HERD-003	Oak Hill Goats	FARM-03	Oak Hill Estate	38.5816	-121.4944	2023-05-18T11:51:14	SAT-IMG-2008	SENSOR-1003	48	0.75	blank	19	53.2	0	Stable activity levels.
LOG-9I0J1K2L	blank	39	false	HERD-007	Blue Sky Cattle	FARM-06	Blue Sky Ranch	40.7128	-74.006	2023-05-18T17:43:02	SAT-IMG-2009	SENSOR-1011	95	0.82	blank	20.7	59.5	0.3	Healthy, minor precipitation.
LOG-0J1K2L3M	blank	38.9	false	HERD-008	Hilltop Goats	FARM-07	Hilltop Acres	41.8781	-87.6298	2023-05-19T08:39:26	SAT-IMG-2010	SENSOR-1012	42	0.77	blank	16.3	62.4	0	Cooler weather, no stress observed.
LOG-1K2L3M4N	heat_stress	38.8	true	HERD-009	Prairie Swine	FARM-08	Prairie Farm	29.7604	-95.3698	2023-05-19T14:10:32	SAT-IMG-2011	SENSOR-1013	112	0.68	3	34	70.9	0	Signs of mild heat stress; recommend shade.
LOG-2L3M4N5O	blank	38.3	false	HERD-010	Lakeside Dairy	FARM-09	Lakeside Farm	47.6062	-122.3321	2023-05-20T07:13:43	SAT-IMG-2012	SENSOR-1014	56	0.81	blank	13.8	81.2	2.5	Wet conditions, herd healthy.
LOG-3M4N5O6P	blank	38.7	false	HERD-004	Red Barn Dairy	FARM-04	Red Barn Dairy	37.7749	-122.4194	2023-05-20T13:56:29	SAT-IMG-2013	SENSOR-1004	63	0.89	blank	20.9	67	0	Milk yield slightly up.
LOG-4N5O6P7Q	blank	37.7	false	HERD-011	Silver Creek Horses	FARM-10	Silver Creek Ranch	32.7157	-117.1611	2023-05-21T09:27:41	SAT-IMG-2014	SENSOR-1015	34	0.93	blank	15	32.6	0	Strong herd movement.
LOG-5O6P7Q8R	disease	39.4	true	HERD-002	River Valley Sheep	FARM-02	River Valley Farm	34.0522	-118.2437	2023-05-21T14:49:18	SAT-IMG-2015	SENSOR-1002	148	0.86	5	26.5	36	0	Outbreak of foot rot identified.
LOG-6P7Q8R9S	blank	37.6	false	HERD-005	Meadowland Horses	FARM-05	Meadowland Stables	39.5296	-119.8138	2023-05-22T11:18:06	SAT-IMG-2016	SENSOR-1010	29	0.95	blank	20.1	28.7	0	Routine exercise.
LOG-7Q8R9S0T	blank	39.2	false	HERD-006	Willow Sheep	FARM-02	River Valley Farm	34.0522	-118.2437	2023-05-22T17:53:36	SAT-IMG-2017	SENSOR-1002	130	0.87	blank	25.7	37.1	0	All sheep healthy.
LOG-8R9S0T1U	blank	39.1	false	HERD-007	Blue Sky Cattle	FARM-06	Blue Sky Ranch	40.7128	-74.006	2023-05-23T09:42:50	SAT-IMG-2018	SENSOR-1011	96	0.79	blank	19.2	60.7	0	Grazing near north pasture.
LOG-9S0T1U2V	blank	39.1	false	HERD-008	Hilltop Goats	FARM-07	Hilltop Acres	41.8781	-87.6298	2023-05-23T14:36:15	SAT-IMG-2019	SENSOR-1012	41	0.74	blank	16.9	61.1	0	Reduced movement, but normal range.
LOG-0T1U2V3W	blank	38.7	false	HERD-009	Prairie Swine	FARM-08	Prairie Farm	29.7604	-95.3698	2023-05-24T07:09:29	SAT-IMG-2020	SENSOR-1013	110	0.67	blank	33.4	72.5	0	Alert for heat stress, no symptoms yet.

What the 72 rows show

from the 72-row sample

25%anomaly_detected = true
39.0median average_body_temperature
42.5median animal_count
0.78median average_activity_level
3median anomaly_severity
23.8median weather_temperature

anomaly_type18 rows by value

average_body_temperature72 rows, in bands of 0.5

Median 39.0, from 37.6 to 41.4.

20 columns by typefrom the column list below

string 9
integer 2
float 7
datetime 1
boolean 1

Columns

20 columns in four groups

blueprint · 20 columns
column	type	description	example
Text 9 columns
`log_id`	string	Unique identifier for each livestock health log entryunique	LOG-1A2B3C4D
`herd_id`	string	Unique identifier for the herd being monitored	HERD-001
`herd_name`	string	Name or label of the herdoptional	Sunrise Cattle
`farm_id`	string	Unique identifier for the farm or ranch	FARM-01
`farm_name`	string	Name of the farm or ranchoptional	Green Acres Ranch
`satellite_image_id`	string	Identifier for the associated satellite imageoptional	SAT-IMG-2001
`sensor_id`	string	Identifier for the sensor device collecting dataoptional	SENSOR-1001
`anomaly_type`	string	Type of anomaly detected (e.g., disease, heat stress, low activity)disease · heat_stress · low_activity · other · optional	low_activity
`notes`	string	Additional notes or observations from the log entryoptional	Normal grazing observed.
Numbers 9 columns
`location_latitude`	float	Latitude coordinate of the herd's location-90 to 90	36.7783
`location_longitude`	float	Longitude coordinate of the herd's location-180 to 180	-119.4179
`animal_count`	integer	Number of animals in the herd at the time of logging1 or more	82
`average_body_temperature`	float	Average body temperature of the herd (Celsius)30 to 45 · optional	38.7
`average_activity_level`	float	Average activity level of the herd (normalized 0-1)0 to 1 · optional	0.88
`anomaly_severity`	integer	Severity of the detected anomaly (1=low, 5=high)1 to 5 · optional	2
`weather_temperature`	float	Ambient temperature at the herd's location (Celsius)-50 to 60 · optional	23.1
`weather_humidity`	float	Ambient humidity at the herd's location (percentage)0 to 100 · optional	48.6
`weather_precipitation`	float	Precipitation at the herd's location (mm)0 or more · optional	0
Dates and times 1 column
`log_datetime`	datetime	Timestamp when the health log was recorded	2023-05-15T10:14:37
True or false 1 column
`anomaly_detected`	boolean	Indicates if an anomaly was detected in the herd's health or behavior	false

Use it for

An agriculture dashboard
The anomaly_detected rate and average_body_temperature by anomaly_type. Excel, Power BI or Tableau.
Why do 18 of 72 rows have anomaly_detected = true?
A class exercise
Hand out the rows and one question. Everyone works from the same 72 rows.
Logs72
LOG-1A2B3C4D38.7—
LOG-3C4D5E6F39low_acti…
LOG-7G8H9I0J39.1disease
A software demo
Believable logs with herd_id, herd_name and farm_id to fill a screen in front of a buyer.

This dataset72 rows20 columns

Yours10,000 rows20 columnslocation_latitude: UK only

blueprint · satellite-livestock-health-log

Behind this dataset

Same schema. As many rows as you need.

These 72 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Each row represents a unique livestock group and observation date.
Satellite-derived NDVI and thermal indices must be included.
Health anomalies flagged if indexes deviate from historical baseline by >15%.
Geo-coordinates valid within recognized agricultural zones.
Health status must be categorized: Healthy, At Risk, Critical.

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. New accounts start with 25 free credits.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: satellite-livestock-health-log

What should your data show?

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Sample rows

What the 72 rows show

Columns

Use it for

An agriculture dashboard

A class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Agriculture

What should your data show?