Africa Soil Information Service africasoils.net
Open data science for agricultural landscapes
AfSIS: Open data science ... by Africa Soil Information Service is licensed under a Creative Commons Attribution 4.0 Unported License.
Thursday, October 1, 15 Main AfSIS product and service workflow
Workflow features: • Near-real time input data updating • Open source: R, Python, C++ ... • HPC-ready (e.g. AWS-EC2) • Code versioning on Github.com • OGC compliant • Statistically defined uncertainty
Thursday, October 1, 15 Map cropland distribution: GeoSurvey sign up and help at: http://geosurvey.kutabiri.com
Thursday, October 1, 15 Tanzania 250m, 1MQ GeoSurvey quadrat locations (2015) data at: https://www.dropbox.com/s/jtwmf7ck9ebh7bm/1MGS_cleaned.csv.zip?dl=0
+ Cropland present + Cropland absent
Thursday, October 1, 15 Tanzania grids (2015) Examples of new remote sensing covariates for digital soil mapping & monitoring data download at: https://www.dropbox.com/s/otiqe78s0kf1z1s/TZ_grids.zip?dl=0 download at: ftp://africagrids.net fPAR LSTD
MODIS & Landsat MODIS land energy reflectance & balance (e.g, LST, vegetation products albedo)
MAP TCI
TRMM & other RFE SRTM & ASTER terrain products (e.g, MAP & models (e.g, elevation, Fournier Index) TCI, slope, relief)
Wednesday, October 1, 14 Thursday, October 1, 15 GeoSurvey prediction workflow in 4-steps
Thursday, October 1, 15 Tanzania ensemble predictions, 2015: Cropland present? code at: https://github.com/mgwalsh/Geosurvey
Random Forest Gradient Boosting
Neural Net Ensemble
Ensemble validation AUC = 0.91 True positive rate True
False positive rate
Thursday, October 1, 15 1MQ ensemble predictions, 2015: Cropland present?
Thursday, October 1, 15 1MQ ensemble predictions, 2015: Buildings present?
Thursday, October 1, 15 Topsoil (0-20 cm), pH predictions
pH
Thursday, October 1, 15 Croplands with predicted lime requirement (~81 Mha)
Thursday, October 1, 15 Tanzania priority soil & crop distribution sampling plan (2015) create your own sampling plan at: http://sampling.kutabiri.ai
• 229, 100 km2 grid cells • 3,364, 1 km2 grid cells • 18,320, 1 ha grid cells • 36,640, soil samples
Thursday, October 1, 15 In the field: new crop distribution, yield & soil data ODK Collect forms at: http://mobilesurvey.qed.ai/afsis_tablet/ QR sample code generator at: http://tag.kutabiri.com/sheet/
Thursday, October 1, 15
In the field: new crop distribution, yield & soil data ODK Collect forms at: http://mobilesurvey.qed.ai/afsis_tablet/
Thursday, October 1, 15 In the lab: real-time spectral prediction of soil properties operating procedures at: http://www.worldagroforestry.org/research/land-health-management/ spectral-diagnostics-laboratory/sops
Mid-infrared spectrometer portable XRF spectrometer
Thursday, October 1, 15 Ethiopia ensemble predictions, 2015: Cropland present? R script at: https://github.com/mgwalsh/Geosurvey
Validation AUC = 0.94
+ Soil fertility sampling locations through Dec 2014 True positive rate True
False positive rate
Thursday, October 1, 15 Predicted pH levels of cropland topsoils pH < 5.2 = ~2 Mha (6%) of cropland area
Lime requirement by Woreda
pH Yilmana Densa Wenberma Ankasha Guagusa Shay Bench Gorche Yem Special
Aneded South Ari Wenchi Gelila Welmera Decha Kuyu Debay Tilatgin Dodola Legambo Dendi Liben East Shoa Minjarna Shenkora Shebel Berenta
Esira Malga Dejen Gechi LibokemkemTarma Ber Enidguagn Limuna Bilbilo Welqayet Kimbibit Woliso Sayadebeirna Wayu Girar Jarso JelduYifratana Gidim Tach Gayint Basketo Awabel Aleltu Qafta Humera Kutaber Adea Mirab Este Beyeda Hidabu Abote
MechaJawi Jima Geneti Akaki Berehet Chena Baso Liben Wegera
Metema Boset Habro Abeshege Gimbichu Enderta Wendo Genet Becho Enemor Ener HoroGura Damole Ambasel Dembia Gasera Guangua Raitu Kewet Yaya Gulele
Quara Bule Munesa Ebinat Sinana Gedeb Takusa Enemay Bahir Dar Zuriya KofeleMeda Welabu Seweyna GuduruTsegede Jabitehnan North Achefer Mehal SayintDangila Agarfa Antsokiya Gemza Shirka Gololcha Ambo Ginde Beret Gozamin Alefa Adaba Diga Southern Bench Tahitay Adiyabo Wayu Tuka MachakelToko Kutaye Chilga Debre Elias Goma South Achefer Hulet Ejuense Misrak Azerenet Berbere Mirab Azernet Berbere
Thursday, October 1, 15 Predicted Phosphorus levels of cropland topsoils Mehlich-3 P < 30 ppm = ~34 Mha (99%) of cropland area
Mehlich-3 P [ppm]
Thursday, October 1, 15 Predicted Potassium levels of cropland topsoils Mehlich-3 K < 120 ppm = ~340 kha (<1%) of cropland area
Mehlich-3 K [ppm]
Thursday, October 1, 15 Predicted Sulfur levels of cropland topsoils Mehlich-3 S < 20 ppm = ~33 Mha (98%) of cropland area
Mehlich-3 S [ppm]
Thursday, October 1, 15 Use cases (in progress): “Taking agronomy to scale”
Operational
Under development
Planned
Thursday, October 1, 15