A Dataset for Integrated Analysis of Satellite Remote Sensing, Environmental Variables and Cattle Supplementation Data
Description
This is a dataset from a 16ha paddock containing 20 Nelore breed animals with brachiaria Decumbens. The dataset contains weight and supplementation data for each animal and for a specific period of time (15 periods in total) as well as Hyperspectral data and environmental data for each period. During 12 months, every 12-28 days, all 26 animals in the paddock got their weights registered, as well as their supplementation data (amount per day, average daily weight gain, time of each supplementation, and data for how many times and for how long each animal went to the feeder). For each period of days, the dates (START_DATE and FINAL_DATE) and day range (AMOUNT_DAYS) was registered, as well as the animal identification (ANIMAL), its weight at the start and end of the period (START_WEIGHT and FINAL_WEIGHT), its average daily weight gain (GMD), average daily supplementaion (SMD), time for each daily supplementation (SUP_TIME), total supplementation amount for the whole herd (SUP_TOTAL), total time the animal spent at the feeder (TOTAL_TIME), how many times the animal went to the feeder (TOTAL_ATTENDANCE) and total of different days the animal spent at the feeder (TOTAL_DAYS). Specifically for the time, attendance and days data, a couple more specific filter were applied to them in order to get more specific supplementation data for each animal. We split the data for specific ranges of time ((6-12h), (12-18h), (18-00h), (6-8h), (12-14h), (18-20h)) and for specific date ranges (spring (09/23-12/21), summer (12/22-03/20), autumn (03/23-06/21), winter (06/22-09/22)) For the paddock, hyperspectral data was also acquired. The data was collected using Google Earth Engine API, based on Sentinel-2 hyperspectral images. Twenty sentinel-2 bands (B01, B02, B03, B04, B05, B06, B07, 8A, B09, B11, and B12) were acquired, and eight well-known spectral indices (NDVI, NDWI, EVI, LAI, DVI, GCI, GEMI, and SAVI) were calculated and integrated into the dataset. Environmental data was acquired using a weather API (Open-Meteo). The climate data acquired are Mean Temperature of the period (TEMP_AVG), Rain sum registered in the period (RAIN_SUM), Average daily rain registered during the period (RAIN_AVG), Solar Radiation sum and Average Solar Radiation registered during the period (RAD_SOL_SUM,RAD_SOL_AVG), Average evapotranspiration registered during the period (EVAPOT), Average Relative Humidity registered during the period (HUM_REL_AVG) and Average Atmospheric Pressure registered during the period (PRES_ATM_AVG).
Files
Steps to reproduce
The complete dataset with cattle supplementation and weight, hypespectral and climate data acquired is in the file "Complete_Dataset.csv". If you want to extract hyperspectral and climate data using APIs, please follow the next steps: 1. On-site https://developers.google.com/earth-engine/guides/service_account create your private key to acess google earth engine API to acquire hyperspectral data.