Benson Kenduiywo
bensonkenduiywo
Exceptionally seasoned and knowledgeable Geomatic Engineering professional with post-doctoral level experience.
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Top Repositories
Introduction to Geostatistical analysis in R
This repo contains maize yield prediction visualization results from RHEAS DSSAT coupled simulation models.
-This repo is meant to supplement practical lessons in Digital Image Processing (DIP)/Analysis (DIA).
Climate Risk Assessment
innovation in sustainability, policy, adaptation and resilience in Kenya (iSPARK)
Galileo Foundation model finetuned
Repositories
30Climate Risk Assessment
innovation in sustainability, policy, adaptation and resilience in Kenya (iSPARK)
Galileo Foundation model finetuned
CNN CRF based on: https://www.sciencedirect.com/science/article/pii/S1569843225002638
No description provided.
IBLI MDPI special issue
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Rshiny demo scripts to download forescasts and compare with baseline
This repo contains maize yield prediction visualization results from RHEAS DSSAT coupled simulation models.
CS Team SA codes
CS work in CG
Raster data extraction.
No description provided.
Rapid map creation with machine learning and earth observation data.
-Test
Introduction to Geostatistical analysis in R
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
Google Earth Engine practice
Visualization of RHEAS yield estimations/
It contains codes written for Google Earth Engine JavaScript API to process Sentinel-1 and Landsat 8 data related with two recently published papers.
No description provided.
No description provided.
Smart Tensors Tutorials
-This repo is meant to supplement practical lessons in Digital Image Processing (DIP)/Analysis (DIA).
No description provided.
No description provided.
An illustration on how estimate Land Use Land Cover Change (LULCC) transitions.
Replication and extension of Jamal, Amaney, and Mark Tessler. “Attitudes in the Arab World.” Journal of Democracy 19, no. 1 (January 2008): 97–110, for Duke University's Polsci 733 course in maximum likelihood estimation methods
How to create R Packages