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About Us
CIFOR & ICRAF in action
Landscape Alliance transforms science into
action, unlocking the power of trees, forests and agroforestry
landscapes to advance planetary health and human well-being. It is the
shared operating name of the Center for International Forestry Research
(CIFOR) and the International Centre for Research in Agroforestry
(ICRAF), two independent International Organizations and CGIAR Research
Centers working together through a common strategy, governance and
leadership structure.
CIFOR and ICRAF bring together decades of
scientific leadership in forests, trees, agroforestry, biodiversity,
climate, food systems and livelihoods. CIFOR, headquartered in Bogor,
Indonesia, advances research on forests and landscape management to
inform policies and practices that improve human well-being, protect the
environment and increase equity. ICRAF, headquartered in Nairobi,
Kenya, harnesses the benefits of trees for people and the environment,
generating knowledge that helps governments, development partners and
farmers make farming and livelihoods more sustainable.
Overview
ICRAF, under the GCF Knuckles Project, is supporting the development and implementation of spatially enabled tools for sustainable landscape management, agricultural monitoring, and decision support. As part of the collaboration with the AgriLook platform, rice field and plot boundaries are to be demarcated as a fundamental spatial dataset for satellite-based monitoring and analysis. Accurate field polygons will enable subsequent analyses such as cropping intensity assessment, crop-condition monitoring, vegetation-index analysis, water status, seasonal agricultural monitoring, and other field-level agricultural information services.
To accelerate datasets preparation, ICRAF intends to establish a pool of GIS Digitization Assistants who can be assigned rice field digitization tasks as needed. Work will be assigned depending on project requirements and the availability and performance of individual members of the pool. Payments will be made based on the quantity of digitization completed, verified, and accepted, primarily measured by the total area of approved agricultural field polygons digitized.
Job Description
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.
Education, Experience and Technical skills
• Completed/enrolled in Diploma/degree in Geography, Surveying, Remote Sensing, GIS, Agriculture, or a related field (or demonstrable equivalent practical experience) or. • Basic knowledge of GIS software (e.g., QGIS or ArcGIS) and satellite/aerial imagery interpretation. • Prior experience in land parcel, cadastral, or agricultural field boundary digitization is strongly preferred. • Basic spreadsheet skills for progress logging and batch submission.
Personal Attributes and Competencies
• Attention to detail and ability to consistently apply a defined digitization standard across large volumes of work.
Terms and conditions
• This is a consultancy position. • See the details of deliverables and payment terms in the attached file. • The duty station will be in home-based/ office-based digitization work (remote or at a designated project office, as agreed) using own devices and data. Application process • The application deadline is 31 October 2026, 05.00 pm IST. • This position will require the hiring of 30–50 individuals. • Shortlisted candidates complete a short practical digitization test (a fixed set of sample fields), assessed against the Section 5 standard. • Selected candidates undergo a brief orientation/training on the AgriLook digitization manual, file format, and submission process before beginning paid work.
To apply, please visit our career site at: https://www.landscapealliance.org/about/work-with-us/
To learn more about Landscape Alliance, please visit our website at: https://www.landscapealliance.org/
Landscape Alliance promotes Gender Diversity – Applications from women professionals are encouraged.
Landscape Alliance is an equal opportunity employer. It fosters a multicultural work environment that values gender equality, teamwork, and respect for diversity.
