Recent Publications

April 2018

Davenport, F., Funk, C.C., and Galu, G., 2018, How will East African maize yields respond to climate change and can agricultural development mitigate this response?: Climatic Change, v. 147, no. 3–4, p. 491–506, at https://doi.org/10.1007/s10584-018-2149-7.

Gu, Y., and Wylie, B.K., in press, Mapping cropland waterway buffers for switchgrass development in the eastern Great Plains, USA: Global Change Biology Bioenergy, p. 0–0, at https://doi.org/10.1111/gcbb.12511.

Harriman, L.M., 2018, Tropical cyclone activities, chap. 6 in Bartlett, D., and Singh, R.P., eds., Exploring natural hazards—A case study approach: Boca Raton, Fla., CRC Press.

Keith, D., Rover, J., Green, J., Zalewsky, B., Charpentier, M., Thursby, G., and Bishop, J., 2018, Monitoring algal blooms in drinking water reservoirs using the Landsat-8 Operational Land Imager: International Journal of Remote Sensing, v. 39, no. 9, p. 2818–2846, at https://doi.org/10.1080/01431161.2018.1430912.

Palaseanu-Lovejoy, M., Poppenga, S.K., Danielson, J.J., Tyler, D.J., Gesch, D.B., Kottermair, M., Jalandoni, A., Carlson, E., Thatcher, C.A., and Barbee, M.M., 2018, One-meter topobathymetric digital elevation model for Majuro Atoll, Republic of the Marshall Islands, 1944 to 2016: U.S. Geological Survey Scientific Investigations Report 2018–5047, 16 p., at http://dx.doi.org/10.3133/sir20185047.

Poppenga, S.K., Palaseanu-Lovejoy, M., Gesch, D.B., Danielson, J.J., and Tyler, D.J., 2018, Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery: U.S. Geological Survey Scientific Investigations Report 2018–5024, 14 p., https://doi.org/10.3133/sir20185024.

SIR 2018-5024

Shi, H., Auch, R.F., Vogelmann, J.E., Feng, M., Rigge, M.B., Senay, G.B., and Verdin, J.P., 2018, Case study comparing multiple irrigated land datasets in Arizona and Colorado, USA: Journal of the American Water Resources Association, v. 54, 2, p. 505–526, at http://dx.doi.org/10.1111/1752-1688.12620.

Sleeter, B.M., Liu, J., Daniel, C., Rayfield, B., Sherba, J., Hawbaker, T.J., Zhu, Z., Selmants, P., and Loveland, T.R., 2018, Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States: Environmental Research Letters, v. 13, no. 4, article number 045006, at http://dx.doi.org/10.1088/1748-9326/aab540.

 

March 2018

ASPRS Lidar Cal/Val Working Group, 2018, ASPRS guidelines on geometric inter-swath accuracy and quality of lidar data: Photogrammetric Engineering & Remote Sensing, v. 84, no. 3, p. 117–128, at https://doi.org/10.14358/PERS.84.3.117.

Boyte, S.P., Wylie, B.K., Rigge, M.B., and Dahal, D., 2018, Fusing MODIS with Landsat 8 data to downscale weekly Normalized Difference Vegetation Index estimates for Central Great Basin rangelands, USA: GIScience & Remote Sensing, v. 55, no. 3, p. 376–399, at http://dx.doi.org/10.1080/15481603.2017.1382065.

Funk, C.C., Harrison, L., Shukla, S., Pomposi, C., Galu, G., Korecha, D., Husak, G., Magadzire, T., Davenport, F., Hillbruner, C., Eilerts, G., Zaitchik, B., and Verdin, J.P., in press, Examining the role of unusually warm Indo-Pacific sea surface temperatures in recent African droughts: Quarterly Journal of the Royal Meteorological Society, p. 0–0, at http://dx.doi.org/10.1002/qj.3266.

Gallant, A.L., Sadinski, W., Brown, J.F., Senay, G.B., and Roth, M.F., 2018, Challenges in complementing data from ground-based sensors with satellite-derived products to measure ecological changes in relation to climate—Lessons from temperate wetland-upland landscapes: Sensors, v. 18, no. 3, article number 880, at http://dx.doi.org/10.3390/s18030880.

Gu, Y., and Wylie, B.K., 2018, Switchgrass waterway buffers in the eastern Great Plains: U.S. Geological Survey data release, at http://dx.doi.org/10.5066/F7Z60N98.

Molan, Y.E., Kim, J., Lu, Z., Wylie, B.K., and Zhu, Z., 2018, Modeling wildfire-induced permafrost deformation in an Alaskan boreal forest using InSAR observations: Remote Sensing, v. 10, no. 3, paper number 405, at http://dx.doi.org/10.3390/rs10030405.

 

February 2018

Heidemann, Hans Karl, 2018, Lidar base specification (ver. 1.3, February 2018): U.S. Geological Survey Techniques and Methods, book 11, chap. B4, 101 p., https://doi.org/10.3133/tm11b4.

Manier, D.J., and Rover, J., 2018, Landsat classification of surface-water presence during multiple years to assess response of playa wetlands to climatic variability across the Great Plains Landscape Conservation Cooperative region: U.S. Geological Survey Open-File Report 2017–1166, 20 p., at http://dx.doi.org/10.3133/ofr20171166.

Shi, H., Auch, R.F., Vogelmann, J.E., Feng, M., Rigge, M.B., Senay, G.B., and Verdin, J.P., in press, Case study comparing multiple irrigated land datasets in Arizona and Colorado, USA: Journal of the American Water Resources Association, p. 0–0, at http://dx.doi.org/10.1111/1752-1688.12620.

Tyler, D.J., Danielson, J.J., Poppenga, S.K., and Gesch, D.B., 2018, Topobathymetric model for the central coast of California, 1929 to 2017: U.S. Geological Survey data release, at https://doi.org/10.5066/F7736Q34.

 

January 2018

Gallo, K.P., Stensaas, G.L., Dwyer, J.L., and Longhenry, R., 2017, A land product characterization system for comparative analysis of satellite data and products: Remote Sensing, v. 10, no. 1, p. 48, article number 48, at http://dx.doi.org/10.3390/rs10010048.

Gu, Y., and Wylie, B.K., 2018, Integrating future scenario based crop expansion information and crop conditions to map switchgrass biofuel potential areas in the eastern Nebraska, USA: Global Change Biology Bioenergy, v. 10, no. 2, p. 76–83, at http://dx.doi.org/10.1111/gcbb.12468.

Senay, G.B., Schauer, M., Friedrichs, M., Velpuri, N.M., and Singh, R.K., 2017, Satellite-based water use dynamics using historical Landsat data (1984–2014) in the southwestern United States: Remote Sensing of Environment, v. 202, p. 98–112, at https://doi.org/10.1016/j.rse.2017.05.005.

Wickham, J., Stehman, S.V., and Homer, C.G., 2018, Spatial patterns of the United States National Land Cover Dataset (NLCD) land-cover change thematic accuracy (2001–2011): International Journal of Remote Sensing, v. 39, no. 6, p. 1729–1743, at https://doi.org/10.1080/01431161.2017.1410298.

 

December 2017

Auch, R.F., Xian, G., Laingen, C.R., Sayler, K.L., and Reker, R.R., in press, Human drivers, biophysical changes, and climatic variation affecting contemporary cropping proportions in the northern prairie of the U.S: Journal of Land Use Science, p. 0–0, at https://doi.org/10.1080/1747423X.2017.1413433.

Kass, M.A., Irons, T.P., Minsley, B.J., Pastick, N.J., Brown, D.R.N., and Wylie, B.K., 2017, In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems: The Cryosphere, v. 11, p. 2943–2955, at http://dx.doi.org/10.5194/tc-11-2943-2017.

Sivanpillai, R., Jones, B.K., and Lamb, R.M., 2017, Accessing satellite imagery for disaster response through the International Charter: Lessons learned from the 2011 US Midwestern floods: Space Policy, v. 42, p. 54–61, at https://doi.org/10.1016/j.spacepol.2017.08.003.

Young, S.M., 2017, U.S. Geological Survey shrub/grass products provide new approach to shrubland monitoring: U.S. Geological Fact Sheet 2017–3084, 4 p., https://doi.org/10.3133/fs20173084.

 Fact Sheet 2017-3084

 

November 2017

Reitz, M., Senay, G.B., and Sanford, W.E., 2017, Combining remote sensing and water-balance evapotranspiration estimates for the conterminous United States: Remote Sensing, v. 9, no. 12, article number 1181, at http://dx.doi.org/10.3390/rs9121181

Thatcher, C.A., Heidemann, H.K., Stoker, J.M., and Eldridge, D.F., 2017, The 3D Elevation Program national indexing scheme: U.S. Geological Survey Fact Sheet 2017-3073, 2 p., https://doi.org/10.3133/fs20173073.

 

October 2017

Boyte, S.P., Wylie, B.K., and Homer, C.G., 2017, Regional mapping of herbaceous annual cover in the Great Basin, presentation at Great Basin LCC 2017 Webinar Series, 26 July 2017: Great Basin Landscape Conservation Cooperative, at https://greatbasinlcc.org/webinar-series.

Faundeen, J.L., and Hutchison, V., 2017, The evolution, approval and implementation of the U.S. Geological Survey Science Data Lifecycle Model: Journal of eScience Librarianship, v. 6, no. 2, p. 1–10, at http://dx.doi.org/10.7191/jeslib.2017.1117.

Kass, M.A., Irons, T.P., Minsley, B.J., Pastick, N.J., Brown, D.R.N., and Wylie, B.K., accepted, In situ nuclear magnetic resonance response of permafrost and active layer soil in boreal and tundra ecosystems: The Cryosphere, p. 1–21, at http://dx.doi.org/10.5194/tc-2016-256.

Li, Z., Liu, S., Tan, Z., Sohl, T.L., and Wu, Y., 2017, Simulating the effects of management practices on cropland soil organic carbon changes in the Temperate Prairies Ecoregion of the United States from 1980 to 2012: Ecological Modelling, v. 365, p. 68–79, at http://dx.doi.org/10.1016/j.ecolmodel.2017.09.017.

Rigge, M.B., Gass, Leila, Homer, C.G., and Xian, G.Z., 2017, Methods for converting continuous shrubland ecosystem component values to thematic National Land Cover Database classes: U.S. Geological Survey Open-File Report 2017–1119, 10 p., https://doi.org/10.3133/ofr20171119.

Open-File Report 2017–1119