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Africa Food Security & Agriculture - Predicting the Likelihood of Human-elephant Conflict and Assessing Elephant Habitat Conditions During Extreme Drought and Crop Deficit in the Kavango-Zambezi Area
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Tonlé Sap Food Security & Agriculture: Evaluating the Effects of Land Use and Hydrological Change on Ecosystem Vitality using Remotely-Sensed Data in the Tonlé Sap Lake Basin
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Africa Agriculture & Food Security II: Predicting the Likelihood of Human-elephant Conflict and Assessing Patterns in Elephant Movements over Varying Habitat Conditions in the Kavango-Zambezi Area
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Midwest Agriculture & Food Security: Enabling Crop Diversification Practices in Midwestern Farmlands through a Phenological Curve Analysis of Crop Progress and Health in Conjunction with Climatic and Ground-Based Agricultural Data
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Africa Food Security & Agriculture II: Predicting the Likelihood of Human-elephant Conflict and Assessing Patterns in Elephant Movements over Varying Habitat Conditions in the Kavango-Zambezi Area
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Midwest Food Security & Agriculture: Enabling Crop Diversification Practices in Midwestern Farmlands through a Phenological Curve Analysis of Crop Progress and Health in Conjunction with Climatic and Ground-based Agricultural Data
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Argentina Agriculture & Food Security: Crop Monitoring and Forecasting for Argentina Using NASA Satellite Observations
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Midwest Agriculture & Food Security: Leveraging NASA Earth Observations to Analyze and Display Crop Phenology Data and Weather Conditions to Support Expansion of Small Grain Crops in the Midwest
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Tonlé Sap Agriculture & Food Security II: Evaluating Changes in Ecosystem Vitality and Freshwater Health in the Tonlé Sap Basin Using Remotely Sensed Data
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Midwest Food Security & Agriculture II: Leveraging NASA Earth Observations to Analyze and Display Crop Phenology Data and Weather Conditions to Support Expansion of Small Grain Crops in the Midwest
Agriculture in the Midwest is dominated by monoculture systems that strip the soil of nutrients, decrease yields, and worsen water quality. Crop diversification and cultivating small grains is economically and ecologically advantageous, but limited in practice due to a lack of data about small-grain crop performance as well as monoculture-favoring insurance coverage, economic incentives, and sociocultural traditions. Practical Farmers of Iowa (PFI) strives to create more sustainable agriculture and supports Midwestern farmers in adding small grains into their crop rotations. The DEVELOP team partnered with the USDA Agricultural Research Service and the USA National Phenology Network to assist PFI in applying NASA Earth observation data to track small-grain crop performance. This project developed a Google Earth Engine user interface that enables PFI farmers to compare satellite-assessed vegetation production and climatic conditions of their farm with other PFI farmers. The team assessed the crop performance through Normalized Difference Vegetation Index (NDVI) values derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Landsat 8 Operational Land Imager (OLI). Additionally, the team created a regression model to analyze the predictive properties of vegetation indices and crop yield, ultimately establishing a relationship with mean NDVI from the early growing season. PFI farmers can utilize these products to make informed decisions about their crop production as well as advocate for more expansive insurance policies to protect small-grain crops.
Tonlé Sap Food Security & Agriculture III: Evaluating Changes in Ecosystem Vitality and Freshwater Health in the Tonlé Sap Basin using Remotely Sensed Data
Tonlé Sap Lake, located in Cambodia, Southeast Asia, is one of the most productive inland fisheries in the world. With the unique reverse flow hydrology of the Tonlé Sap River, this freshwater system contains rich biodiversity and provides critical freshwater resources for the local community. Overfishing, stronger seasonality, drought, dam construction, forest fires, and untreated industrial domestic sewage threaten the ecosystem vitality and economic success of Tonlé Sap. In collaboration with Conservation International and the Cambodian Ministry of Water Resources and Meteorology’s Tonlé Sap Authority, we calibrated and finalized remotely-sensed proxies for sub-indicators of the Freshwater Health Index (FHI). We used NASA Earth observation data from Moderate Resolution Imaging Spectroradiometer (MODIS), and the Gravity Recovery and Climate Experiment (GRACE). These datasets were used in RS proxies and a Soil and Water Assessment Tool (SWAT) model that previous teams developed for sub-indicators of FHI. They included landcover, bank modification, and water quality metrics. It was determined that the ground water storage in Tonlé Sap Lake exhibited a slight declining trend over from April 1st, 2002 to February 3rd, 2017. To calculate chlorophyll-a concentration in the Tonlé Sap Lake, we used Copernicus Global Land Service mission data which provided a Trophic State Index of the lake. Between January 1st, 2000 and December 31st, 2020, the lake and surrounding region within the study area boundary displayed a slight decrease in vegetation density and consistently high chlorophyll-a concentrations. The SWAT model calculated nitrogen and phosphorus content measured in outlet points of the lake. We demonstrated that remotely sensed data is valuable for providing additional information for the FHI, but is not fully capable of replacing its in situ counterpart. We also concluded the water quantity is on a slowly declining trend within the basin.
Bhutan Agriculture III: Monitoring Cropland Changes in Bhutan Using Remote Sensing to Bolster Food Security and Support Crop Monitoring
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Satellite forecasting of crop harvest can trigger a cross-hemispheric production response and improve global food security
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Household food security in the agropastoral communities of rural southern Kyrgyzstan
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Assessing Conflict Driven Food Security in Rakhine, Myanmar with Multisource Imagery
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MSD CoP Webinar: Metrics for Human Wellbeing
Context: This webinar was hosted by the MultiSector Dynamics Community of Practice (MSD CoP; https://multisectordynamics.org). Abstract: Human well-being is an inherently multidimensional concept that broadly refers to what constitutes the "good life". Characterizing well-being requires a wide range of measures of quality of life. Taken together, these can provide a description of well-being and better guide decision making. In this webinar, our panel will first summarize the key themes and recommendations of interdisciplinary conversations that occurred during the course of a two-day, in-person workshop convened by PNNL September 27-28, 2023, which laid the foundations for a new research direction of well-being science and application. Next, they will present research exploring several dimensions of human well-being and their links to equity: energy security, food security, and economic measures. Finally, we will introduce the new Equity Working Group, gather community input to inform its activities, and provide avenues for ongoing engagement. Presenters : Stephanie Waldhoff (Joint Global Change Research Institute, Pacific Northwest National Laboratory; Invited Speaker), Brian O'Neill (Joint Global Change Research Institute, Pacific Northwest National Laboratory; Invited Speaker), Rebecca Saari (University of Waterloo; Co-Chair), Amanda Giang (University of British Columbia; Co-Chair), Sarah Fletcher (Stanford University; Co-Chair), and Matt Sparks (University of Waterloo; Communications Officer) Moderator: Pat M. Reed (MSD CoP Facilitation Team) This webinar was held on: May 29, 2024 from 1-2:15 PM ET
New Local, National and Regional Cereal Price Indices for Improved Identification of Food Insecurity
Large price increases over a short time period can be indicative of a deteriorating food security situation. Food price indices developed by the United Nations Food and Agriculture Organization (FAO) are used to monitor food price trends at a global level, but largely reflect supply and demand conditions in export markets. However, reporting by the United States Agency for International Development (USAID)'s Famine Early Warning Systems Network (FEWS NET) indicates that staple cereal prices in many markets of the developing world, especially in surplus-producing areas, often have a delayed and variable response to international export market price trends. Here we present new price indices compiled for improved food security monitoring and assessment, and specifically for monitoring conditions of food access across diverse food insecure regions. We found that cereal price indices constructed using market prices within a food insecure region showed significant differences from the international cereals price, and had a variable price dispersion across markets within each marketshed. Using satellite-derived remote sensing information that estimates local production and the FAO Cereals Index as predictors, we were able to forecast movements of the local or national price indices in the remote, arid and semi-arid countries of the 38 countries examined. This work supports the need for improved decision-making about targeted aid and humanitarian relief, by providing earlier early warning of food security crises.