Homer, C.G., Xian, G., Aldridge, C.L., Meyer, D.K., Loveland, T.R., and O’Donnell, M.S., 2015, Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050—Learning from past climate patterns and Landsat imagery to predict the future: Ecological Indicators, v. 55, p. 131-145, at http://dx.doi.org/10.1016/j.ecolind.2015.03.002.
Huang, S., Liu, S., Liu, J., Dahal, D., Young, C.J., Davis, B.N., Sohl, T.L., Hawbaker, T.J., Sleeter, B.M., and Zhu, Z., 2015, Projecting the spatiotemporal carbon dynamics of the Greater Yellowstone Ecosystem from 2006 to 2050: Carbon Balance and Management, v. 10, no. 7, at http://dx.doi.org/10.1186/s13021-015-0017-6.
Peterson, B.E., Nelson, K.J., Seielstad, C., Stoker, J.M., Jolly, W.M., and Parsons, R., 2015, Automated integration of lidar into the LANDFIRE product suite: Remote Sensing Letters, v. 6, no. 3, p. 247-256, at http://dx.doi.org/10.1080/2150704X.2015.1029086.
Tadesse, T., Senay, G.B., Berhan, G., Regassa, T., and Beyene, S., 2015, Evaluating a satellite-based seasonal evapotranspiration product and identifying its relationship with other satellite-derived products and crop yield—A case study for Ethiopia: International Journal of Applied Earth Observation and Geoinformation, v. 40, p. 39-54, at http://dx.doi.org/10.1016/j.jag.2015.03.006.
U.S. Geological Survey, 2015, Landsat surface reflectance data: U.S. Geological Survey Fact Sheet 2015-3034, 1 p., at http://dx.doi.org/10.3133/fs20153034.
Boyte, S.P., Wylie, B.K., and Major, D.J., 2015, Mapping and monitoring cheatgrass dieoff in rangelands of the Northern Great Basin, USA: Rangeland Ecology and Management, v. 68, no. 1, p. 18-28, at http://dx.doi.org/10.1016/j.rama.2014.12.005.
Gu, Y., and Wylie, B.K., 2015, Downscaling 250-m MODIS growing season NDVI based on multiple-date Landsat images and data mining approaches: Remote Sensing, v. 7, no. 4, p. 3489-3506, at http://dx.doi.org/10.3390/rs70403489.
Hoell, A., Funk, C.C., and Barlow, M., 2015, The forcing of southwestern Asia teleconnections by low-frequency sea surface temperature variability during boreal winter: Journal of Climate, v. 28, no. 4, p. 1511-1526, at http://dx.doi.org/10.1175/JCLI-D-14-00344.1.
Huang, S., Dahal, D., Liu, H., Jin, S., Young, C.J., Li, S., and Liu, S., 2015, Spatiotemporal variation of surface shortwave forcing from fire-induced albedo change in interior Alaska: Canadian Journal of Forest Research, v. 45, no. 3, p. 276-285, at http://dx.doi.org/10.1139/cjfr-2014-0309.
Kovalskyy, V., and Roy, D.P., 2015, A one year Landsat 8 conterminous United States study of cirrus and non-cirrus clouds: Remote Sensing, v. 7, no. 1, p. 564-578, at http://dx.doi.org/10.3390/rs70100564.
Pervez, M.S., and Henebry, G.M., 2015, Assessing the impacts of climate and land use and land cover change on the freshwater availability in the Brahmaputra River basin: Journal of Hydrology - Regional Studies, v. 3, p. 285-311, at http://dx.doi.org/10.1016/j.ejrh.2014.09.003.
Byrd, K., Ratliff, J., Bliss, N.B., Wein, A., Sleeter, B., Sohl, T.L., and Li, Z., 2015, Quantifying climate change mitigation potential in the United States Great Plains wetlands for three greenhouse gas emission scenarios: Mitigation and Adaptation Strategies for Global Change, v. 20, no. 3, p. 439-465, at http://dx.doi.org/10.1007/s11027-013-9500-0.
Ji, L., Wylie, B.K., Nossov, D.R., Peterson, B.E., Alexander, H.D., Mack, M.C., Rover, J.A., Waldrop, M.P., McFarland, J.W., Chen, X., and Pastick, N.J., 2015, Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska: International Journal of Remote Sensing, v. 36, no. 4, p. 939-953, at http://dx.doi.org/10.1080/01431161.2015.1004764.
McNally, A., Husak, G.J., Brown, M.E., Carroll, M., Funk, C.C., Yatheendradas, S., Arsenault, K., Peters-Lidard, C., and Verdin, J.P., 2015, Calculating crop water requirement satisfaction in the West Africa Sahel with remotely sensed soil moisture: Journal of Hydrometeorology, v. 16, no. 1, p. 295-305, at http://dx.doi.org/10.1175/JHM-D-14-0049.1.
Pervez, M.S., and Henebry, G.M., 2014, Spatial and seasonal responses of precipitation in the Ganges and Brahmaputra river basins to ENSO and Indian Ocean dipole modes—implications for flooding and drought: Natural Hazards and Earth System Sciences, v. 2, no. 1, p. 147-162, 2015, at http://dx.doi.org/10.5194/nhess-15-147-2015.
Rengarajan, R., Sampath, A., Storey, J.C., and Choate, M.J., 2015, Validation of geometric accuracy of Global Land Survey (GLS) 2000 data: Photogrammetric Engineering and Remote Sensing, v. 81, no. 2, p. 131-141, at http://dx.doi.org/10.14358/PERS.81.2.131.
Boyte, S.P., Wylie, B.K., Major, D.J., and Brown, J.F., 2015, The integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growth: International Journal of Digital Earth, v. 8, no. 2, p. 116-130, at http://dx.doi.org/10.1080/17538947.2013.860196.
Funk, C.C., Hoell, A., Shukla, S., Bladé, I., Liebmann, B., Roberts, J.B., Robertson, F.R., and Husak, G., 2014, Predicting East African spring droughts using Pacific and Indian Ocean sea surface temperature indices: Hydrology and Earth System Sciences, v. 18, no. 12, p. 4965-4978, at http://dx.doi.org/10.5194/hessd-11-3111-2014.
Loveland, T.R., and Mahmood, R., 2014, A design for a sustained assessment of climate forcing and feedbacks related to land use and land cover change: Bulletin of the American Meteorological Society, v. 95, no. 10, p. 1563-1572, at http://dx.doi.org/10.1175/BAMS-D-12-00208.1.
Senay, G.B., Velpuri, N.M., Bohms, S., Budde, M.E., Young, C.J., Rowland, J.D., and Verdin, J.P., 2014, Drought monitoring and assessment—remote sensing and modeling approaches for the Famine Early Warning Systems Network, chap. 9 in Paolo, P., and Baldassarre, G.D., eds., Hydro-meteorological hazards, risks, and disasters: Amsterdam, Elsevier, p. 233-262, at http://dx.doi.org/10.1016/B978-0-12-394846-5.00009-6.
Senay, G.B., Velpuri, N.M., Bohms, S., Demissie, Y., and Gebremichael, M., 2014, Understanding the hydrologic sources and sinks in the Nile Basin using multi-source climate and remote sensing datasets: Water Resources Research, v. 50, no. 11, p. 8625-8650, at http://dx.doi.org/10.1002/2013WR015231.
Tadesse, T., Wardlow, B.D., Brown, J.F., Svoboda, M.D., Hayes, M.J., Fuchs, B., and Gutzmer, D., 2014, Assessing the vegetation condition impacts of the 2011 drought across the U.S. Southern Great Plains using the Vegetation Drought Response Index (VegDRI): Journal of Applied Meteorology and Climatology, v. 54, no. 1, p. 153-169, at http://dx.doi.org/10.1175/JAMC-D-14-0048.1.