Diego Pedreros
Diego Pedreros is a scientist with the US Geological Survey at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD.
Diego Pedreros is a scientist with the US Geological Survey at the USGS Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD.
Science and Products
Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set
To support global drought early warning, the Climate Hazards Center (CHC) at the University of California, Santa Barbara developed the Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset, in collaboration with the US Geological Survey and NASA SERVIR. Specifically designed to support early warning applications, CHIRPS has high a spatial resolution (0.05°), a long period of
Authors
Chris Funk, P. Peterson, Martin Landsfeld, Frank Davenport, A Becker, U Schneider, Diego Pedreros, Amy McNally, Kristi Arsenault, Laura Harrison, S. Shukla
Examining the potential contributions of extreme 'Western V' sea surface temperatures to the 2017 MAMJ East African drought
Anthropogenic warming of Western V sea surface temperatures contributed to East African drought. Extremely warm (FAR=1) Western V SST doubled the probability of drought, contributing to widespread food insecurity.
Authors
Chris Funk, Andrew Hoell, Sharon E. Nicholson, Diriba Korecha, Gideon Galu, Teshome Fetene, Hailermariam Kinfe, Laura Harrison, Segele Zewdu, Tadege Abebe, Atheru Zachary, Catherine Pomposi, Diego Pedreros
A climate trend analysis of Ethiopia: Examining subseasonal climate impacts on crops and pasture conditions
Ethiopia experiences significant climate-induced drought and stress on crop and livestock productivity, contributing to widespread food insecurity. Here, we present subseasonal crop water stress analyses that indicate degrading, growing conditions along Ethiopia’s eastern highlands, including productive and populated highland regions. These seasonally shifting areas of increasing water stress stre
Authors
Molly E. Brown, Chris Funk, Diego Pedreros, Diriba Korecha, Melesse Lemma, James Rowland, Emily Williams, James Verdin
The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locatio
Authors
Chris Funk, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell, Joel Michaelsen
A global satellite assisted precipitation climatology
Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and someti
Authors
Christopher C. Funk, Andrew P. Verdin, Joel C. Michaelsen, Diego Pedreros, Gregory J. Husak, P. Peterson
A quasi-global precipitation time series for drought monitoring
Estimating precipitation variations in space and time is an important aspect of drought early warning and environmental monitoring. An evolving drier-than-normal season must be placed in historical context so that the severity of rainfall deficits may quickly be evaluated. To this end, scientists at the U.S. Geological Survey Earth Resources Observation and Science Center, working closely with col
Authors
Chris C. Funk, Pete J. Peterson, Martin F. Landsfeld, Diego H. Pedreros, James P. Verdin, James D. Rowland, Bo E. Romero, Gregory J. Husak, Joel C. Michaelsen, Andrew P. Verdin
Testing a high-resolution satellite interpretation technique for crop area monitoring in developing countries
District-level crop area (CA) is a highly uncertain term in food production equations, which are used to allocate food aid and implement appropriate food security initiatives. Remote sensing studies typically overestimate CA and production, as subsistence plots are exaggerated at coarser resolution, which leads to overoptimistic food reports. In this study, medium-resolution (MR) Landsat 7 Enhance
Authors
M. T. Marshall, G.J. Husak, J. Michaelsen, Chris Funk, D. Pedreros, A. Adoum
Crop area estimation using high and medium resolution satellite imagery in areas with complex topography
Reliable estimates of cropped area (CA) in developing countries with chronic food shortages are essential for emergency relief and the design of appropriate market-based food security programs. Satellite interpretation of CA is an effective alternative to extensive and costly field surveys, which fail to represent the spatial heterogeneity at the country-level. Bias-corrected, texture based classi
Authors
G.J. Husak, M. T. Marshall, J. Michaelsen, Diego Pedreros, Christopher C. Funk, G. Galu
Land cover and forest formation distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from decision tree classification of cloud-cleared satellite imagery
Satellite image-based mapping of tropical forests is vital to conservation planning. Standard methods for automated image classification, however, limit classification detail in complex tropical landscapes. In this study, we test an approach to Landsat image interpretation on four islands of the Lesser Antilles, including Grenada and St. Kitts, Nevis and St. Eustatius, testing a more detailed clas
Authors
E.H. Helmer, T.A. Kennaway, D.H. Pedreros, M. L. Clark, H. Marcano-Vega, L.L. Tieszen, T.R. Ruzycki, S.R. Schill, C.M.S. Carrington
Development of a global slope dataset for estimation of landslide occurrence resulting from earthquakes
Landslides resulting from earthquakes can cause widespread loss of life and damage to critical infrastructure. The U.S. Geological Survey (USGS) has developed an alarm system, PAGER (Prompt Assessment of Global Earthquakes for Response), that aims to provide timely information to emergency relief organizations on the impact of earthquakes. Landslides are responsible for many of the damaging effect
Authors
Kristine L. Verdin, Jonathan W. Godt, Christopher C. Funk, Diego Pedreros, Bruce Worstell, James Verdin
Science and Products
- Publications
Algorithm and data improvements for version 2.1 of the Climate Hazards center’s InfraRed Precipitation with Stations Data Set
To support global drought early warning, the Climate Hazards Center (CHC) at the University of California, Santa Barbara developed the Climate Hazards center InfraRed Precipitation with Stations (CHIRPS) dataset, in collaboration with the US Geological Survey and NASA SERVIR. Specifically designed to support early warning applications, CHIRPS has high a spatial resolution (0.05°), a long period ofAuthorsChris Funk, P. Peterson, Martin Landsfeld, Frank Davenport, A Becker, U Schneider, Diego Pedreros, Amy McNally, Kristi Arsenault, Laura Harrison, S. ShuklaExamining the potential contributions of extreme 'Western V' sea surface temperatures to the 2017 MAMJ East African drought
Anthropogenic warming of Western V sea surface temperatures contributed to East African drought. Extremely warm (FAR=1) Western V SST doubled the probability of drought, contributing to widespread food insecurity.AuthorsChris Funk, Andrew Hoell, Sharon E. Nicholson, Diriba Korecha, Gideon Galu, Teshome Fetene, Hailermariam Kinfe, Laura Harrison, Segele Zewdu, Tadege Abebe, Atheru Zachary, Catherine Pomposi, Diego PedrerosA climate trend analysis of Ethiopia: Examining subseasonal climate impacts on crops and pasture conditions
Ethiopia experiences significant climate-induced drought and stress on crop and livestock productivity, contributing to widespread food insecurity. Here, we present subseasonal crop water stress analyses that indicate degrading, growing conditions along Ethiopia’s eastern highlands, including productive and populated highland regions. These seasonally shifting areas of increasing water stress streAuthorsMolly E. Brown, Chris Funk, Diego Pedreros, Diriba Korecha, Melesse Lemma, James Rowland, Emily Williams, James VerdinThe climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes
The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locatioAuthorsChris Funk, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell, Joel MichaelsenA global satellite assisted precipitation climatology
Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and sometiAuthorsChristopher C. Funk, Andrew P. Verdin, Joel C. Michaelsen, Diego Pedreros, Gregory J. Husak, P. PetersonA quasi-global precipitation time series for drought monitoring
Estimating precipitation variations in space and time is an important aspect of drought early warning and environmental monitoring. An evolving drier-than-normal season must be placed in historical context so that the severity of rainfall deficits may quickly be evaluated. To this end, scientists at the U.S. Geological Survey Earth Resources Observation and Science Center, working closely with colAuthorsChris C. Funk, Pete J. Peterson, Martin F. Landsfeld, Diego H. Pedreros, James P. Verdin, James D. Rowland, Bo E. Romero, Gregory J. Husak, Joel C. Michaelsen, Andrew P. VerdinTesting a high-resolution satellite interpretation technique for crop area monitoring in developing countries
District-level crop area (CA) is a highly uncertain term in food production equations, which are used to allocate food aid and implement appropriate food security initiatives. Remote sensing studies typically overestimate CA and production, as subsistence plots are exaggerated at coarser resolution, which leads to overoptimistic food reports. In this study, medium-resolution (MR) Landsat 7 EnhanceAuthorsM. T. Marshall, G.J. Husak, J. Michaelsen, Chris Funk, D. Pedreros, A. AdoumCrop area estimation using high and medium resolution satellite imagery in areas with complex topography
Reliable estimates of cropped area (CA) in developing countries with chronic food shortages are essential for emergency relief and the design of appropriate market-based food security programs. Satellite interpretation of CA is an effective alternative to extensive and costly field surveys, which fail to represent the spatial heterogeneity at the country-level. Bias-corrected, texture based classiAuthorsG.J. Husak, M. T. Marshall, J. Michaelsen, Diego Pedreros, Christopher C. Funk, G. GaluLand cover and forest formation distributions for St. Kitts, Nevis, St. Eustatius, Grenada and Barbados from decision tree classification of cloud-cleared satellite imagery
Satellite image-based mapping of tropical forests is vital to conservation planning. Standard methods for automated image classification, however, limit classification detail in complex tropical landscapes. In this study, we test an approach to Landsat image interpretation on four islands of the Lesser Antilles, including Grenada and St. Kitts, Nevis and St. Eustatius, testing a more detailed clasAuthorsE.H. Helmer, T.A. Kennaway, D.H. Pedreros, M. L. Clark, H. Marcano-Vega, L.L. Tieszen, T.R. Ruzycki, S.R. Schill, C.M.S. CarringtonDevelopment of a global slope dataset for estimation of landslide occurrence resulting from earthquakes
Landslides resulting from earthquakes can cause widespread loss of life and damage to critical infrastructure. The U.S. Geological Survey (USGS) has developed an alarm system, PAGER (Prompt Assessment of Global Earthquakes for Response), that aims to provide timely information to emergency relief organizations on the impact of earthquakes. Landslides are responsible for many of the damaging effectAuthorsKristine L. Verdin, Jonathan W. Godt, Christopher C. Funk, Diego Pedreros, Bruce Worstell, James Verdin - News