Digitize rice field and plot boundaries from reference imagery into accurate, topologically correct polygon datasets, following ICRAF’s standards and required attributes. Submit work in scheduled batches, maintain a digitization log, and correct any polygons rejected during QA/QC before acceptance.
The
main objective of this assignment is to engage qualified individuals
("Digitizers") to develop an accurate, consistent, and
quality-controlled geospatial database of rice field and plot boundaries within
designated areas of the GCF Knuckles Project area.
Specific
objectives are to:
Digitize
individual rice fields and plot boundaries from high-resolution
satellite imagery, basemaps, or other reference datasets designated by ICRAF.
Produce
topologically correct and spatially accurate polygon datasets.
Follow
standardized digitization protocols and attribute structures provided by ICRAF.
Maintain
consistency among multiple GIS operators working simultaneously.
Support
rapid preparation of field-level spatial data required for integration with the
AgriLook platform and related project applications.
Ensure
that all digitized outputs undergo a transparent and systematic QA/QC process
prior to acceptance and payment.
The
Digitizer will be responsible for the following tasks:
Review
reference imagery (high-resolution satellite imagery, Google earth imagery as
provided) and any existing cadastral border, or AI-survey area layers supplied
by ICRAF.
Digitize
the boundary of each distinct field as a closed polygon in the specified GIS
format (e.g., Shapefile/GeoJSON/GeoPackage, per project standard), following
the field delineation and topology rules given in Section 5.
Populate
required attribute fields for each polygon (e.g., unique field ID,
administrative division/GN division, land-use type, source imagery date,
digitizer ID/date).
Where
assigned, cross-check digitized boundaries against ground/field survey points.
Submit
digitized polygons in batches according to the agreed schedule, through the
designated submission platform/folder structure.
Correct
and resubmit any polygons flagged as non-conforming during the quality
assurance review, at no additional cost, before they are counted as accepted
for payment.
Maintain
a basic digitization log (area/tile covered, date, number of polygons
submitted) for progress tracking.
Digitization Standards and
Methodology
All
polygons must be digitized to the following standard:
Each
polygon must represent one distinct, contiguous, single-cultivator rice field
and plot, as visible on the reference imagery.
Boundaries
must be traced to the visible edge of the field (bund/ridge or adjacent
land-use change) at a proper digitization scale (e.g., finer than 1:500, per
project imagery resolution).
No
overlapping polygons.
No
unintended slivers, self-intersecting geometries, or duplicate polygons.
Minimum
mapping unit and positional accuracy tolerance to be specified by the project
(e.g., ± [X] metres) before work begins.
Correct
coordinate reference system (CRS) as specified by ICRAF (e.g., WGS84 / SL
national grid).
Every
polygon carries required attributes for (field ID, division, source date,
digitizer ID).
Quality Assurance/Quality Control
(QA/QC)
To
safeguard data quality under the output-based payment model, the following
QA/QC process will apply to every batch submitted:
Automated
checks: geometry validity (no self-intersections, no slivers), topology checks
(no overlaps/gaps on shared boundaries), CRS/format compliance, and attribute
completeness.
Manual
sample review: a GIS quality reviewer visually compares a sample of polygons
against reference imagery for boundary accuracy and correct field delineation.
Feedback
loop: rejected polygons are returned to the Digitizer with the specific reason
for rejection (e.g., boundary offset, merged fields, missing attribute) for
correction and resubmission.
QA
sign-off: a batch is only marked Accepted, and therefore payable, once it
passes the applicable QA checks above.
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