Recent Publications

March 2017

Gu, Y., and Wylie, B.K., in press, Mapping marginal croplands suitable for cellulosic feedstock crops in the Great Plains: Global Change Biology Bioenergy, p. 0–0, at http://dx.doi.org/10.1111/gcbb.12388.

Soulard, C.E., Acevedo, W., Cohen, W.B., Yang, Z.F., Stehman, S.V., and Taylor, J.L., 2017, Harmonization of forest disturbance datasets of the conterminous USA from 1986 to 2011: Environmental Monitoring and Assessment, v. 189, no. 4, p. 170, at http://dx.doi.org/10.1007/s10661-017-5879-5.

 

February 2017

Cotillon, S.E., 2017, The landscapes of West Africa—40 years of change: U.S. Geological Survey Fact Sheet 2017–3005, 2 p., https://doi.org/10.3133/fs20173005.

Cotillon, S.E., 2017, West Africa land use and land cover time series: U.S. Geological Survey Fact Sheet 2017–3004, 4 p., https://doi.org/10.3133/fs20173004.

Fact Sheet 2017-3004

 

Cotillon, S.E., and Mathis, M.L., 2017, Mapping land cover through time with the Rapid Land Cover Mapper—Documentation and user manual: U.S. Geological Survey Open File Report 2017–1012, 23 p., https://doi.org/10.3133/ofr20171012.

McNally, A., Arsenault, K., Kumar, S., Shukla, S., Peterson, P., Wang, S., Funk, C.C., Peters-Lidard, C.D., and Verdin, J.P., 2017, A land data assimilation system for sub-Saharan Africa food and water security applications: Scientific Data, v. 4, p. 170012, at http://dx.doi.org/10.1038/sdata.2017.12.

Tadesse, T., Champagne, C., Wardlow, B.D., Hadwen, T.A., Brown, J.F., Demisse, G.B., Bayissa, Y.A., and Davidson, A.M., in press, Building the vegetation drought response index for Canada (VegDRI-Canada) to monitor agricultural drought—First results: GIScience & Remote Sensing, p. 1-28, at http://dx.doi.org/10.1080/15481603.2017.1286728.

Wickham, J., Stehman, S.V., Gass, L., Dewitz, J.A., Sorenson, D.G., Granneman, B.J., Poss, R.V., and Baer, L.A., 2017, Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD): Remote Sensing of Environment, v. 191, p. 328-341, at http://dx.doi.org/10.1016/j.rse.2016.12.026.

 

January 2017

Danielson, J.J., Poppenga, S.K., Brock, J.C., Evans, G.A., Tyler, D.J., Gesch, D.B., Thatcher, C.A., and Barras, J.A., 2016, Topobathymetric elevation model development using a new methodology—Coastal National Elevation Database: Journal of Coastal Research, no. SI 76, p. 74–89, at http://dx.doi.org/10.2112/SI76-008.

Faundeen, J.L., 2017, Scientific records appraisal process—US Geological Survey case study, in Johnston, L.R., ed., Curating research data, Volume Two—A handbook of current practice: Chicago, Ill., Association of College and Research Libraries, a division of the American Library Association, p. 57–60.

Friesz, A.M., Wylie, B.K., and Howard, D.M., 2017, Temporal expansion of annual crop classification layers for the CONUS using the C5 decision tree classifier: Remote Sensing Letters, v. 8, no. 4, p. 389–398, at http://dx.doi.org/10.1080/2150704X.2016.1271469.

Gesch, D.B., Brock, J.C., Parrish, C.E., Rogers, J.N., and Wright, C.W., 2016, Introduction—Special issue on advances in topobathymetric mapping, models, and applications: Journal of Coastal Research, no. SI 76, p. 1–3, at http://dx.doi.org/10.2112/SI76-001.

Lounsbery, A.N., 2017, Earth Resources Observation and Science (EROS) Center—Popular web sites: U.S. Geological Survey General Information Product 171, 1 p., at http://dx.doi.org/10.3133/gip171.

GIP 171

 

Poppenga, S.K., and Worstell, B.B., 2016, Hydrologic connectivity—Quantitative assessments of hydrologic-enforced drainage structures in an elevation model: Journal of Coastal Research, no. SI 76, p. 89–106, at http://dx.doi.org/10.2112/SI76-009.

Thatcher, C.A., Brock, J.C., Danielson, J.J., Poppenga, S.K., Gesch, D.B., Palaseanu-Lovejoy, M.E., Barras, J.A., Evans, G.A., and Gibbs, A.E., 2016, Creating a Coastal National Elevation Database (CoNED) for science and conservation applications: Journal of Coastal Research, no. SI 76, p. 64–74, at http://dx.doi.org/10.2112/SI76-007.

 

December 2016

CILSS, 2016, Landscapes of West Africa—A window on a changing world: Garretson, S. Dak., U.S. Geological Survey, EROS, 219 p., at https://eros.usgs.gov/westafrica/.

Funk, C.C., Harrison, L., Skukla, S., Hoell, A., Korecha, D., Magadzire, T., Husak, G., and Galu, G., 2016, Assessing the contributions of local and East Pacific warming to the 2015 droughts in Ethiopia and Southern Africa, chap. 15 in Herring, S.C., Hoell, A., Hoerling, M.P., Kossing, J.P., Schreck III, C.J., and Stott, P.A., eds., Explaining extreme events from a climate perspective—Special supplement to the Bulletin of the American Meteorological Society, Vol. 97, No. 12, December 2016: American Meteorological Society Special Report, p. S75–S80, at http://dx.doi.org/10.1175/BAMS-D-16-0167.1.

Giri, C., and Long, J.B., 2016, Is the geographic range of mangrove forests in the conterminous United States really expanding?: Sensors, v. 16, no. 12, article number 2010, at http://dx.doi.org/10.3390/s16122010.

Velpuri, N.M., Pervez, M.S., and Cushing, W.M., 2016, Hydropower assessment of Bolivia—A multisource satellite data and hydrologic modeling approach: U.S. Geological Survey Open-File Report 2016-1156, 79 p., at http://dx.doi.org/10.3133/ofr20161156.

OFR 2016-1156

Zhengchao, R., Huazhong, Z., Shi, H., and Xiaoni, L., 2016, Climatic and topographical factors affecting the vegetative carbon stock of rangelands in arid and semiarid regions of China: Journal of Resources and Ecology, v. 7, no. 6, p. 418–429, at http://dx.doi.org/10.5814/j.issn.1674-764x.2016.06.002.

 

November 2016

Gu, Y., Wylie, B.K., Boyte, S.P., Picotte, J.J., Howard, D.M., Smith, K., and Nelson, K.J., 2016, An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely sensed data: Remote Sensing, v. 8, no. 11, article number 943, at http://dx.doi.org/10.3390/rs8110943.

Pervez, M.S., and Henebry, G.M., 2016, Differential heating in the Indian Ocean differentially modulates precipitation in the Ganges and Brahmaputra Basins: Remote Sensing, v. 8, no. 11, at http://dx.doi.org/10.3390/rs8110901.

Qin, Y., Xiao, X., Wang, J., Dong, J., Ewing, K., Hoagland, B., Hough, D.J., Fagin, T.D., Zou, Z., Geissler, G.L., Xian, G., and Loveland, T.R., 2016, Mapping annual forest cover in sub-humid and semi-arid regions through analysis of Landsat and PALSAR imagery: Remote Sensing, v. 8, no. 11, article number 933, at http://dx.doi.org/10.3390/rs8110933.

Taye, M.T., Tadesse, T., Senay, G.B., and Block, P., 2016, The Grand Ethiopian Renaissance Dam—Source of cooperation or contention?: Journal of Water Resources Planning and Management, v. 142, no. 11, at http://dx.doi.org/10.1061/(ASCE)WR.1943-5452.0000708.

Tredennick, A.T., Hooten, M.B., Aldridge, C.L., Homer, C.G., Kleinhesselink, A.R., and Adler, P.B., 2016, Forecasting climate change impacts on plant populations over large spatial extents: Ecosphere, v. 7, no. 10, article number A53, at http://dx.doi.org/10.1002/ecs2.1525/full.

Wickham, J., Nash, M.S., and Barnes, C.A., 2016, Effect of land cover change on snow free surface albedo across the continental United States: Global and Planetary Change, v. 146, p. 1-9, at http://dx.doi.org/10.1016/j.gloplacha.2016.09.005.

Wylie, B.K., Howard, D.M., Dahal, D., Gilmanov, T.G., Ji, L., Zhang, L., and Smith, K., 2016, Grassland and cropland net ecosystem production of the U.S. Great Plains: Regression tree model development and comparative analysis: Remote Sensing, v. 8, no. 11, article number 944, at http://dx.doi.org/10.3390/rs8110944.

Zhu, Z., Gallant, A.L., Woodcock, C.E., Pengra, B.W., Olofsson, P., Loveland, T.R., Jin, S., Dahal, D., Yang, L., and Auch, R.F., 2016, Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative: ISPRS Journal of Photogrammetry and Remote Sensing, v. 122, p. 206-221, at http://dx.doi.org/10.1016/j.isprsjprs.2016.11.004.

 

October 2016

Boyte, S.P., and Wylie, B.K., 2016, Near-real-time cheatgrass percent cover in the Northern Great Basin, USA, 2015: Rangelands, v. 38, no. 5, p. 278-284, at http://dx.doi.org/10.1016/j.rala.2016.08.002.

Golon, D.K., 2016, The Land Processes Distributed Active Archive Center (LP DAAC): U.S. Geological Survey Fact Sheet 2016–3070, 2 p., http://dx.doi.org/10.3133/fs20163070.

Langseth, M.L., Chang, M.Y., Carlino, J., Bellmore, J.R., Birch, D.D., Bradley, J., Bristol, R.S., Buscombe, D.D., Duda, J.J., Everette, A.L., Graves, T.A., Greenwood, M.M., Govoni, D.L., Henkel, H.S., Hutchison, V.B., Jones, B.K., Kern, T., Lacey, J., Lamb, R.M., Lightsom, F.L., Long, J.L., Saleh, R.A., Smith, S.W., Soulard, C.E., Viger, R.J., Warrick, J.A., Wesenberg, K.E., Wieferich, D.J., and Winslow, L.A., 2016, Community for Data Integration 2015 annual report: U. S. Geological Survey Open-File Report 2016-1165, 57 p., at http://dx.doi.org/10.3133/ofr20161165.

Micijevic, E., Haque, M.O., and Mishra, N., 2016, Radiometric calibration updates to the Landsat collection, in Butler, J.J., Xiong, X., and Gu, X., eds., Earth Observing Systems XXI, San Diego, Calif., 28 August 2016, Proceedings of SPIE Vol. 9972: Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers (SPIE), p. 99720D-99720D-12, article number 2554413, at http://dx.doi.org/10.1117/12.2239426.

Pengra, B.W., Gallant, A.L., Zhu, Z., and Dahal, D., 2016, Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey: Remote Sensing, v. 8, no. 10, paper number 811, at http://dx.doi.org/10.3390/rs8100811.

Peterson, B.E., and Nelson, K.J., 2016, Enhanced canopy fuel mapping by integrating lidar data: U.S. Geological Survey Fact Sheet 2015–3086, 2 p., http://dx.doi.org/10.3133/fs20153086.

Sayler, K.L., Acevedo, W., and Taylor, J.L., eds., 2016, Status and trends of land change in the Eastern United States—1973 to 2000: U.S. Geological Survey Professional Paper 1794-D, 195 p., at http://dx.doi.org/10.3133/pp1794D.

Senay, G.B., Friedrichs, M., Singh, R.K., and Velpuri, N.M., 2016, Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin: Remote Sensing of Environment, v. 185, p. 171-185, at http://dx.doi.org/10.1016/j.rse.2015.12.043.

Sohl, T.L., Wimberly, M.C., Radeloff, V.C., Theobald, D.M., and Sleeter, B.M., 2016, Divergent projections of future land use in the United States arising from different models and scenarios: Ecological Modelling, v. 337, p. 281–297, at http://dx.doi.org/10.1016/j.ecolmodel.2016.07.016.

 

September 2016

Sayler, K.L., Acevedo, W., and Taylor, J.L., 2016, Status and trends of land change in selected U.S. Ecoregions - 2000 to 2011: Photogrammetric Engineering and Remote Sensing, v. 82, no. 9, p. 687-697, at http://dx.doi.org/10.14358/pers.82.9.687.

Schauer, M., Senay, G.B., and Friedrichs, M., 2016, Mapping 30 years of evapotranspiration using the Landsat Archive, presentation at Esri User Conference, San Diego, Calif., 27 June - 1 July 2016: Redlands, Calif., Esri, at http://proceedings.esri.com/library/userconf/proc16/abstracts/a159.html.

Schleeweis, K., Goward, S.N., Huang, C., Dwyer, J.L., Dungan, J.L., Lindsey, M.A., Michaelis, A., Rishmawi, K., and Masek, J.G., 2016, Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US: International Journal of Digital Earth, v. 9, no. 10, p. 963-980, at http://dx.doi.org/10.1080/17538947.2016.1158876.

Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of US High Plains: Rangelands, v. 38, no. 4, p. 183-190, at http://www.sciencedirect.com/science/article/pii/S0190052816300244.