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Publications (17)
Innovative and beneficial science stems from diverse teams and authorships that are inclusive of many perspectives. In this paper, we explore the status of inclusivity in remote sensing academic publishing, using an audit of peer-reviewed journal editorial board composition. Our findings demonstrate diversity deficiency in gender and country of res...
Uganda is the third-largest refugee-hosting country partly due to its open-door policy -- deemed one of the most progressive. When new refugees arrive, refugee settlements are established rapidly, and irreversible changes to the landscape are inevitable. We utilize satellite data to map land cover (LC), land use (LU), and burned area (BA) to assess...
With the global refugee crisis at a historic high, there is a growing need to assess the impact of refugee settlements on their hosting countries and surrounding environments. Because fires are an important land management practice in smallholder agriculture in sub-Saharan Africa, burned area (BA) mappings can help provide information about the imp...
The increasing frequency and severity of extreme climatic events and their impacts are being realized in many regions of the world, particularly in smallholder crop and livestock production systems in Sub-Saharan Africa (SSA). These events underscore the need for timely early warning. Satellite Earth Observation (EO) availability, rapid development...
Major strides have been made in the development of remote sensing, reanalysis,
and model-based earth observations (EOs), which can be used for long-term climate
variability mapping, as well as real-time environmental monitoring and forecasting. Such
EOs are particularly valuable for environmental decision-making (e.g., for environmental
resources m...
An innovative program focused on collaboration and capacity building is looking to improve outcomes for smallholder farmers, reduce hunger, and alleviate food insecurity in sub-Saharan Africa.
Spatial information on cropland distribution, often called cropland or crop maps, are critical inputs for a wide range of agriculture and food security analyses and decisions. However, high-resolution cropland maps are not readily available for most countries, especially in regions dominated by smallholder farming (e.g., sub-Saharan Africa). These...
Accurate crop type maps provide critical information for ensuring food security, yet there has been limited research on crop type classification for smallholder agriculture, particularly in sub-Saharan Africa where risk of food insecurity is highest. Publicly-available ground-truth data such as the newly-released training dataset of crop types in K...
Karamoja is notoriously food insecure and has been in need of food aid for most years during the last two decades. One of the main factors causing food insecurity is drought. Reliable, area-wide, long-term data for detecting and monitoring drought conditions are critical for timely, life-saving interventions and the long-term development of the reg...
There is a need to validate existing global cropland maps since they are used for different purposes including agricultural monitoring and assessment. In this paper we validate three recent global products (ESA-CCI, GlobeLand30, FROM-GC) and one regional product (Tanzania Land Cover 2010 Scheme II) using a validation data set that was collected by...
We examine dramatic cropland expansion in Karamoja, Uganda by investigating the links between biophysical and political historical events leading to the current state of agricultural land use. Our objective was to quantify agricultural expansion, uncover the dominant drivers leading to the current state of agricultural land use and its impacts on l...
Projects
Projects (2)
Strengthen the agricultural monitoring EO applications in the SERVIR Eastern and Southern-Africa region in support of food security, working closely with regional and national partners,
Transition proven applied R&D into existing or to create operational monitoring systems
Increase national capacity for agricultural monitoring
Strengthen Ministries of Agriculture and National Technical Universities Partnerships
The AgriSense STARS project develops and provides essential tools for agricultural monitoring to facilitate increased accuracy and timeliness of information supporting food security monitoring and improved agricultural statistics in developing countries. Using remote sensing technologies AgriSense is piloting in Tanzania and Uganda methods and tools to improve crop condition monitoring, production forecasting accuracy and timeliness. AgriSense tools include: the GLAM-East Africa portal for satellite data time series interpretation, GeoODK for fast and efficient electronic field data collection and the Crop Monitor for collaborative assessments of the current crop condition and food security situation.