iCalendar: Satellite-based Field Map Calendar
GUI-based software coded in PYTHON to promote throughput image processing and analytics of a big dataset of satellite imagery and provide spatiotemporal monitoring of crop health conditions throughout the growing season by automatically illustrating 1) a field map calendar (FMC) with daily thumbnails of vegetation heatmaps in each month and 2) a seasonal Vegetation Index (VI) Profile of the crop fields. Output examples of FMC and VI Profile are found in files named in fmCalendar.jpg and NDVI_Profile.jpg, respectively, which were created satellite imagery on 5/1-10/31 in 2020 from a sugarbeet field in Moorhead, MN.
Resources
6 resources available
-
NDVI_Profile.jpg
JPG -
iCalendar.py
PY -
fmCalendar.jpg
JPG -
BM_NDVI.py
PY -
FMC.py
PY -
SR.py
PY
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"005:18"
]
|
| contactPoint |
{
"fn": "Kim, James Y.",
"hasEmail": "mailto:james.y.kim@usda.gov"
}
|
| description | <p dir="ltr">GUI-based software coded in PYTHON to promote throughput image processing and analytics of a big dataset of satellite imagery and provide spatiotemporal monitoring of crop health conditions throughout the growing season by automatically illustrating 1) a field map calendar (FMC) with daily thumbnails of vegetation heatmaps in each month and 2) a seasonal Vegetation Index (VI) Profile of the crop fields. Output examples of FMC and VI Profile are found in files named in fmCalendar.jpg and NDVI_Profile.jpg, respectively, which were created satellite imagery on 5/1-10/31 in 2020 from a sugarbeet field in Moorhead, MN.</p> |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "NDVI_Profile.jpg",
"format": "jpg",
"mediaType": "image/jpeg",
"downloadURL": "https://ndownloader.figshare.com/files/54202898"
},
{
"@type": "dcat:Distribution",
"title": "iCalendar.py",
"format": "py",
"mediaType": "text/x-script.python",
"downloadURL": "https://ndownloader.figshare.com/files/54202901"
},
{
"@type": "dcat:Distribution",
"title": "fmCalendar.jpg",
"format": "jpg",
"mediaType": "image/jpeg",
"downloadURL": "https://ndownloader.figshare.com/files/54202904"
},
{
"@type": "dcat:Distribution",
"title": "BM_NDVI.py",
"format": "py",
"mediaType": "text/x-script.python",
"downloadURL": "https://ndownloader.figshare.com/files/54202907"
},
{
"@type": "dcat:Distribution",
"title": "FMC.py",
"format": "py",
"mediaType": "text/x-script.python",
"downloadURL": "https://ndownloader.figshare.com/files/54202910"
},
{
"@type": "dcat:Distribution",
"title": "SR.py",
"format": "py",
"mediaType": "text/x-script.python",
"downloadURL": "https://ndownloader.figshare.com/files/54202913"
}
]
|
| identifier | 10.15482/USDA.ADC/25797007.v6 |
| keyword |
[
"Crop health monitoring",
"Satellite Image Time Series",
"field mapping images",
"image analytics",
"software",
"vegetation index"
]
|
| license | https://www.usa.gov/publicdomain/label/1.0/ |
| modified | 2026-03-25 |
| programCode |
[
"005:040"
]
|
| publisher |
{
"name": "Agricultural Research Service",
"@type": "org:Organization"
}
|
| temporal | 2024-04-17/2024-04-17 |
| title | iCalendar: Satellite-based Field Map Calendar |
