Hey all ! I am a PhD student at the Center for Geospatial Analytics at North Carolina State University. I am currently working with remote sensing imagery to assess surface water dynamics.
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PhD in Geospatial Analytics, 2019 - Present
North Carolina State University
MSc in Agronomy, 2019
Kansas State University
BSc in Agronomy, 2017
University of Sao Paulo
On-farm reservoirs (OFRs)—artificial water impoundments that retain water from rainfall and run-off—enable farmers to store water during the wet season to be used for crop irrigation during the dry season. However, monitoring the inter- and intra-annual change of these water bodies remains a challenging task because they are typically small (< 10 ha) and occur in high numbers. Therefore, we used two existing Landsat inundation datasets—the U.S. Geological Survey Dynamic Surface Water Extent (DSWE) and the European Commission’s Joint Research Centre (JRC) Global Monthly Water History—to assess surface water area change of OFRs located in eastern Arkansas, the third most irrigated state in the U.S.
Geospatial analysis is crucial for addressing many of the world’s most pressing challenges. Given this, there is immense value in improving and expanding the visualization techniques used to communicate geospatial data. In this work, we explore this important intersection – between geospatial analytics and visualization – by examining a set of recent IEEE VIS Conference papers (a selection from 2017-2019) to assess the inclusion of geospatial data and geospatial analyses within these papers.
Ammonia (NH3) volatilization from broadcast urea may lead to significant N losses in winter wheat. We aimed to (a) quantify N losses through NH3 volatilization from fields fertilized with urea and urea amended with a urease inhibitor (NBPT) under cold weather months (February–April), and (b) investigate the impact of N losses through NH3 volatilization on the winter wheat production.
Temperature and water deficit stresses cause large year‐to‐year yield variability, and matching crop phenology with periods less prone to stresses can improve yield stability. We used 30 years of daily weather data from 69 stations in the U.S. Great Plains to quantify the risk of water deficit and temperature stresses for winter wheat (Triticum aestivum L.) cultivars differing in maturity, and to evaluate whether the selected variables explained variability in yield and area abandonment.
Water deficit is one of the main limiting factors for sugarcane production around the world. Sugarcane yield is negatively affected by drought, and irrigation can be an alternative to improve yield rates. This study aimed to calculate the sugarcane irrigation requirement (SIR), the available surface water (ASW) for irrigation and create scenarios of the potential of sugarcane irrigation in Northwestern São Paulo, Brazil, by integrating agrometeorological and GIS tools.