· Giglio L., Loboda T., Roy D.P., Quayle B. & Justice C.O., 2009. An active-fire based burned area mapping algorithm for the MODIS sensor, Remote Sensing Of Environment, 113(2):408-420.
 

· Wimberly M.C., Cochrane M.A., Baer A.D. & Pabst K., 2009. Assessing fuel treatment effectiveness using satellite imagery and spatial statistics, Ecological Applications, 19(6):1377-1384.
 

· Mestre L.A.M., Barlow J., Thom G. & Cochrane M.A., 2009. Burned Forests as a Novel Habitat for the Black-faced Cotinga (Conioptilon mcilhennyi) in the Western Brazilian Amazon, Ornitología Neotropical, 20:467-470.

· Henebry G.M., 2009. Carbon in idle croplands, Nature, 457(7233):1089-1090.

· Cochrane M.A. & Barber C.P., 2009. Climate change, human land use and future fires in the Amazon, Global Change Biology, 15(3):601-612.
   

· Numata I., Cochrane M.A., Roberts D.A., Soares J.V. & Souza C.M., 2009. Determining dynamics of spatial and temporal structures of forest edges in South Western Amazonia, Forest Ecology And Management, 258:2547-2555.

· Cochrane M.A. & Ryan K.C., 2009. Fire and fire ecology: Concepts and principles, Pages 25-62, In: Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics (Ed. Cochrane M.A.). Springer-Praxis, Heidelberg, Germany, 645 pages.

· Bowman D.M.J.S., Balch J.K., Artaxo P., Bond W.J., Carlson J.M., Cochrane M.A., D'Antonio C.M., DeFries R.S., Doyle J.C., Harrison S.P., Johnston F.H., Keeley J.E., Krawchuck M.A., Kull C.A., Marston J.B., Moritz M.A., Prentice I.C., Roos C.I., Scott A.C., Swetnam T.W., van der Werf G.R. & Pyne S.J., 2009. Fire in the Earth System, Science, 324:481-484.
 

· Cochrane M.A., 2009. Fire in the tropics, Pages 1-23, In: Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics (Ed. Cochrane M.A.). Springer-Praxis, Heidelberg, Germany, 645 pages.

· Cochrane M.A., 2009. Fire, Landuse, Landcover Dynamics and Climate Change in the Brazilian Amazon, In: Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics (Ed. Cochrane M.A.). Springer-Praxis, Heidelberg, Germany, 645 pages.

· Kodandapani N., Cochrane M.A. & Sukumar R., 2009. Forest fire regimes and their ecological effects in seasonally dry tropical ecosystems in the Western Ghats, India, In: Tropical Fire Ecology: Climate Change, Land Use and Ecosystem Dynamics (Ed. Cochrane M.A.). Springer-Praxis, Heidelberg, Germany, 645 pages.

· Tan Z., Tieszen L.L., Tachie-Obeng E., Liu S. & Dieye A.M., 2009. Historical and simulated ecosystem carbon dynamics in Ghana: land use, management, and climate, Biogeosciences, 6(1):45-58.
 

· Pierce K.B., Ohmann J.L., Wimberly M.C., Gregory, M.J. & Fried J.S., 2009. Mapping wildland fuels and forest structure for land management: a comparison of nearest neighbor imputation and other methods, Canadian Journal Of Forest Research-revue Canadienne De Recherche, 39(10):1901-1916.
 

· Kovalskyy V. & Henebry G.M., 2009. Recent trends in land surface phenologies within the Don and Dnieper River basins from the perspective of MODIS Collection 4 products., Pages 183-189, In: Regional aspects of climate-terrestrial-hydrologic interactions in non-boreal Eastern Europe. (Eds. Groisman P.Ya. & Ivanov S.). Springer: Berlin, 256 pages.

· Roy D.P. & Boschetti L., 2009. Southern Africa Validation of the MODIS, L3JRC, and GlobCarbon Burned-Area Products, IEEE Transactions On Geoscience And Remote Sensing, 47(4):1032-1044.
 

· de Beurs K.M. & Henebry G.M., 2009. Spatio-temporal statistical methods for modeling land surface phenology., In: Phenological Research: Methods for Environmental and Climate Change Analysis (Eds. Hudson I.L. & Keatley M.R.). Springer Books, New York.

· Malmstrom C.M., Butterfield H.S., Barber C., Dieter B., Harrison R., Qi J.G., Riano D., Schrotenboer A., Stone S., Stoner C.J. & Wirka J., 2009. Using Remote Sensing to Evaluate the Influence of Grassland Restoration Activities on Ecosystem Forage Provisioning Services, Restoration Ecology, 17(4):526-538.
 

· Galvao L.S., Roberts D.A., Formaggio A.R., Numata I. & Breunig F.M., 2009. View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-nadir Hyperion data, Remote Sensing Of Environment, 113(4):846-856.
 

· Archibald S., Roy D.P., van Wilgen B.W. & Scholes R.J., 2009. What limits fire? An examination of drivers of burnt area in Southern Africa, Global Change Biology, 15(3):613-630.
 

· Kodandapani N., Cochrane M.A. & Sukumar R., 2008. A comparative analysis of spatial, temporal, and ecological characteristics of forest fires in seasonally dry tropical ecosystems in the Western Ghats, India, Forest Ecology And Management, 256:607-617.

· Hansen M.C., Roy D.P., Lindquist E.J., Adusei B., Justice C.O. & Altstatt A., 2008. A method for integrating MODIS and Landsat data for systematic monitoring of forest cover and change in the Congo Basin, Remote Sensing Of Environment, 112(5):2495-2513.
 

· Boschetti L., Roy D.P., Barbosa P., Boca R. & Justice C.O., 2008. A MODIS assessment of the summer 2007 extent burned in Greece, International Journal Of Remote Sensing, 29(8):2433-2436.
 

· Chen M., Liu S., Tieszen L.L. & Hollinger D.Y., 2008. An improved state-parameter analysis of ecosystem models using data assimilation, Ecological Modelling, 219(3-4):317-326.
 

· Ghioca-Robrecht D.M., Johnston C.A. & Tulbure M.G., 2008. Assessing the Use of Multiseason Quickbird Imagery for Mapping Invasive Species in a Lake Erie Coastal Marsh, Wetlands, 28(4):1028-1039.
 

· Joeckel R.M. & Henebry G.M., 2008. Channel and island change in the lower Platte River, Eastern Nebraska, USA: 1855-2005, Geomorphology, 102(3-4):407-418.
 

· Sando T.R. & Henebry G.M., 2008. Characterization and analysis of hailstorms in the Northern Great Plains, SDSU Journal of Undergraduate Research, 11:67-75.

· Aguilar-Amuchastegui N. & Henebry G.M., 2008. Characterizing tropical forest spatio-temporal heterogeneity using the Wide Dynamic Range Vegetation Index (WDRVI), International Journal Of Remote Sensing, 29(24):7285-7291.
 

· Potapov P., Hansen M.C., Stehman S.V., Loveland T.R. & Pittman K., 2008. Combining MODIS and Landsat imagery to estimate and map boreal forest cover loss, Remote Sensing Of Environment, 112(9):3708-3719.
 

· Hansen M.C., Shimabukuro Y.E., Potapov P. & Pittman K., 2008. Comparing annual MODIS and PRODES forest cover change data for advancing monitoring of Brazilian forest cover, Remote Sensing Of Environment, 112(10):3784-3793.
 

· Steininger M.K., Hansen M.C., Townshend J.R.G., Tucker C.J., Skole D.L. & DeFries R.S., 2008. Convincing evidence of tropical forest decline, Proceedings Of The National Academy Of Sciences Of The United States Of America, 105(34).

· Boschetti L. & Roy D.P., 2008. Defining a fire year for reporting and analysis of global interannual fire variability, Journal Of Geophysical Research-biogeosciences, 113(3).
 

· Wright C.K., 2008. Ecological community integration increases with added trophic complexity, Ecological Complexity, 5:140-145.
  

· Wimberly M.C., Hildreth M.B., Boyte S.P., Lindquist E.J. & Kightlinger L., 2008. Ecological niche of the 2003 West Nile virus epidemic in the Northern Great Plains of the United States, PloS One, 3(12).
 

· Wimberly M.C., Baer A.D. & Yabsley M.J., 2008. Enhanced spatial models for predicting the geographic distributions of tick-borne pathogens, International Journal Of Health Geographics, 7.
  

· Numata I., Roberts D.A., Chadwick O.A., Schimel J.P., Galvao L.S. & Soares J.V., 2008. Evaluation of hyperspectral data for pasture estimate in the Brazilian Amazon using field and imaging spectrometers, Remote Sensing Of Environment, 112(4):1569-1583.
 

· Zhou G.Y., Guan L.L., Wei X.H., Tang X.L., Liu S.G., Liu J.X., Zhang D.Q. & Yan J.H., 2008. Factors influencing leaf litter decomposition: an intersite decomposition experiment across China, Plant And Soil, 311(1-2):61-72.
 

· Hansen M.C., Stehman S.V., Potapov P.V., Loveland T.R., Townshend J.R.G., DeFries R.S., Pittman K.W., Arunarwati B., Stolle F., Steininger M.K., Carroll M. & DiMiceli C., 2008. Humid tropical forest clearing from 2000 to 2005 quantified by using multitemporal and multiresolution remotely sensed data, Proceedings Of The National Academy Of Sciences Of The United States Of America, 105(27):9439-9444.
 

· Liu J.X., Liu S.G., Loveland T.R. & Tieszen L.L., 2008. Integrating remotely sensed land cover observations and a biogeochemical model for estimating forest ecosystem carbon dynamics, Ecological Modelling, 219(3-4):361-372.
 

· Loveland T.R., Cochrane M.A. & Henebry G.M., 2008. Landsat still contributing to environmental research - Response, Trends In Ecology & Evolution, 23(4):182-183.
 

· Roy D.P., Ju J., Lewis P., Schaaf C., Gao F., Hansen M.C. & Lindquist E.J., 2008. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data, Remote Sensing Of Environment, 112(6):3112-3130.
 

· de Beurs K.M. & Henebry G.M., 2008. Northern annular mode effects on the land surface phenologies of northern Eurasia, Journal Of Climate, 21(17):4257-4279.
 

· Johnston C.A., Ghioca D.M., Tulbure M.G., Bedford B.L., Bourdaghs M., Frieswyk C.B., Vaccaro L. & Zedler J.B., 2008. Partitioning vegetation response to anthropogenic stress to develop multi-taxa wetland indicators, Ecological Applications, 18(4):983-1001.
 

· Henebry G.M., 2008. Phenology across LTER., The LTER Network News, 21(2):4.

· Barnes C.A. & Roy D.P., 2008. Radiative forcing over the conterminous United States due to contemporary land cover land use albedo change, Geophysical Research Letters, 35(L09706).
 

· Liu S.G., Anderson P., Zhou G.Y., Kauffman B., Hughes F., Schimel D., Watson V. & Tosi J., 2008. Resolving model parameter values from carbon and nitrogen stock measurements in a wide range of tropical mature forests using nonlinear inversion and regression trees, Ecological Modelling, 219(3-4):327-341.
 

· Michimi A. & Berentsen W.H., 2008. Small business establishment profiles and rapid population growth in Sunbelt metropolitan areas, 1995-2005, Urban Geography, 29(6):526-555.
 

· Harden J.W., Berhe A.A., Torn M., Harte J., Liu S. & Stallard R.F., 2008. Soil erosion: Data say C sink, Science, 320(5873):178-179.

· Wimberly M.C., Yabsley M.J., Baer A.D., Dugan V.G. & Davidson W.R., 2008. Spatial heterogeneity of climate and land-cover constraints on distributions of tick-borne pathogens, Global Ecology And Biogeography, 17(2):189-202.
 

· Wimberly M.C. & Kennedy R.S.H., 2008. Spatially explicit modeling of mixed-severity fire regimes and landscape dynamics, Forest Ecology And Management, 254(3):511-523.
 

· Cochrane M.A. & Laurance W.F., 2008. Synergisms among Fire, Land Use, and Climate Change in the Amazon, AMBIO, 37:522-527.
  

· Ju J. & Roy D.P., 2008. The Availability of Cloud-free Landsat ETM+ data over the Conterminous United States and Globally, Remote Sensing Of Environment, 112:1196-1211.

· Roy D.P., Boschetti L., Justice C.O. & Ju J., 2008. The Collection 5 MODIS Burned Area Product: Global Evaluation by Comparison with the MODIS Active Fire Product, Remote Sensing Of Environment, 112(9):3690-3707.

· Henebry G.M., 2008. The eyes in the skies: Remote sensing of land surface phenologies., The Wildlife Professional, 2(3):67.

· Lindquist E.J., Hansen M.C., Roy D.P. & Justice C.O., 2008. The suitability of decadal image data sets for mapping tropical forest cover change in the Democratic Republic of Congo: implications for the global land survey, International Journal Of Remote Sensing, 29(24):7269-7275.
 

· Boschetti L., Roy D.P. & Justice C.O., 2008. Using NASA's World Wind virtual globe for interactive internet visualization of the global MODIS burned area product, International Journal Of Remote Sensing, 29(11):3067-3072.
 

· de Beurs K.M. & Henebry G.M., 2008. War, drought, and phenology: Changes in the land surface phenology of Afghanistan since 1982., Journal of Land Use Science, 3(2-3):95-111.

· Trigg S.N. & Roy D.P., 2007. A focus group study of factors that promote and constrain the use of satellite-derived fire products by resource managers in southern Africa, Journal Of Environmental Management, 82(1):95-110.
 

· Tan Z., Tieszen L.L., Zhu Z., Liu S. & Howard S., 2007. An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin., Carbon Balance and Management, 2(12).
 

· Aguilar-Amuchastegui N. & Henebry G.M., 2007. Assessing sustainability indicators for tropical forests: Spatio-temporal heterogeneity, logging intensity, and dung beetle communities, Forest Ecology And Management, 253(1-3):56-67.
 

· Wimberly M.C. & Reilly M.J., 2007. Assessment of fire severity and species diversity in the southern Appalachians using Landsat TM and ETM plus imagery, Remote Sensing Of Environment, 108(2):189-197.
  

· Numata I., Roberts D.A., Chadwick O.A., Schimel J.P., Sampaio F.R., Leonidas F.C. & Soares J.V., 2007. Characterization of pasture biophysical properties and the impact of grazing intensity using remotely sensed data, Remote Sensing Of Environment, 109(3):314-327.
 

· Chang J., Hansen M.C., Pittman K., Carroll M. & DiMiceli C., 2007. Corn and soybean mapping in the united states using MODN time-series data sets, Agronomy Journal, 99(6):1654-1664.
 

· Yuan W.P., Liu S., Zhou G.S., Zhou G.Y., Tieszen L.L., Baldocchi D., Bernhofer C., Gholz H., Goldstein A.H., Goulden M.L., Hollinger D.Y., Hu Y.M., Law B.E., Stoy P.C., Vesala T., Wofsy S.C. & AmeriFlux Collaborators ., 2007. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes, Agricultural And Forest Meteorology, 143(3-4):189-207.
 

· Arima E.Y., Simmons C.S., Walker R.T. & Cochrane M.A., 2007. Fire in the Brazilian amazon: A spatially explicit model for policy impact analysis, Journal Of Regional Science, 47(3):541-567.
 

· Manangan J.S., Schweitzer S.H., Nibbelink N., Yabsley M.J., Gibbs S.E.J. & Wimberly M.C., 2007. Habitat factors influencing distributions of Anaplasma phagocytophilum and Ehrlichia chaffeensis in the Mississippi alluvial valley, Vector-borne And Zoonotic Diseases, 7(4):563-573.
  

· Nonaka E., Spies T.A., Wimberly M.C. & Ohmann J.L., 2007. Historical range of variability in live and dead wood biomass: a regional-scale simulation study, Canadian Journal Of Forest Research-revue Canadienne De Recherche, 37(11):2349-2364.
 

· Wright C.K. & Gallant A., 2007. Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data, Remote Sensing Of Environment, 107:582-605.
  

· Xue Y.J., Hu Y.M., Liu S.G., Yang J.F., Chen Q.C. & Bao S.T., 2007. Improving land resource evaluation using fuzzy neural network ensembles, Pedosphere, 17(4):429-435.
 

· Myneni R.B., Yang W.Z., Nemani R.R., Huete A.R., Dickinson R.E., Knyazikhin Y., Didan K., Fu R., Juarez R.I.N., Saatchi S.S., Hashimoto H., Ichii K., Shabanov N.V., Tan B., Ratana P., Privette J.L., Morisette J.T., Vermote E.F., Roy D.P., Wolfe R.E., Friedl M.A., Running S.W., Votava P., El-Saleous N., Devadiga S., Su Y. & Salomonson V.V., 2007. Large seasonal swings in leaf area of Amazon rainforests, Proceedings Of The National Academy Of Sciences Of The United States Of America, 104(12):4820-4823.
 

· Zhou G.Y., Guan L.L., Wei X.H., Zhang D.Q., Zhang Q.M., Yan J.H., Wen D.Z., Liu J.X., Liu S.G., Huang Z.L., Kong G.H., Mo J.M. & Yu Q.F., 2007. Litterfall production along successional and altitudinal gradients of subtropical monsoon evergreen broadleaved forests in Guangdong, China, Plant Ecology, 188(1):77-89.
 

· Matricardi E.A., Skole D.L., Cochrane M.A., Pedlowski M. & Chomentowski W., 2007. Multi-temporal assessment of selective logging in the Brazilian Amazon using Landsat data, International Journal Of Remote Sensing, 28(1-2):63-82.
 

· Achard F., DeFries R.S., Eva H.D., Hansen M.C., Mayaux P. & Stibig H.J., 2007. Pan-tropical monitoring of deforestation, Environmental Research Letters, 2(4).
 

· Johnston C.A., Bedford B.L., Bourdaghs M., Brown T., Frieswyk C.B., Tulbure M.G., Vaccaro L. & Zedler J.B., 2007. Plant species indicators of physical environment in Great Lakes coastal wetlands, Journal Of Great Lakes Research, 33:106-124.
 

· Tulbure M.G., Johnston C.A. & Auger D.L., 2007. Rapid invasion of a Great Lakes coastal wetland by non-native Phragmites australis and Typha, Journal Of Great Lakes Research, 33:269-279.
 

· Numata I., Roberts D.A., Sawada Y., Chadwick O.A., Schimel J.P. & Soares J.V., 2007. Regional characterization of pasture changes through time and space in Rondonia, Brazil, Earth Interactions, 11.
 

· Tan Z., Liu S., Li Z. & Loveland T.R., 2007. Simulated responses of soil organic carbon stock to tillage management scenarios in the Northwest Great Plains., Carbon Balance and Management, 2(7).
 

· Liu H., Tang X.L., Zhou G.Y. & Liu S., 2007. Spatial and Temporal Patterns of Net Primary Productivity in the Duration of 1981-2000 in Guangdong, China, Acta Ecologica Sinica, 27:4065-4074.

· Numata I., Chadwick O.A., Roberts D.A., Schimel J.P., Sampaio F.F., Leonidas F.C. & Soares J.V., 2007. Temporal nutrient variation in soil and vegetation of post-forest pastures as a function of soil order, pasture age, and management, Rondonia, Brazil, Agriculture Ecosystems & Environment, 118(1-4):159-172.
 

· Messina J.P. & Cochrane M.A., 2007. The Forests are Bleeding: How Land Use Change is Creating a New Fire Regime in the Ecuadorian Amazon, Journal of Latin American Geography, 6:85-100.
 

· Cochrane M.A., 2006. A Changing Landscape: A Geographical Perspective on Tropical Deforestation, In: Exploring Environmental Challenges: A Multidisciplinary Approach - Tropical Deforestation (Eds. Spray S.L. & Moran M.D.). Rowman & Littlefield Publishers, 176 pages.

· Wimberly M.C., Zhang Y.J. & Stanturf J.A., 2006. Digital forestry in the wildland-urban interface, In: Computer Applications in Sustainable Forest Management: Including Perspectives on Collaboration and Integration (Eds. Shao G. & Reynolds K.M.). Springer, New York, 277 pages.
 

· Gibbs S.E.J., Wimberly M.C., Madden M., Masour J., Yabsley M.J. & Stallknecht D.E., 2006. Factors affecting the geographic distribution of West Nile virus in Georgia, USA: 2002-2004, Vector-borne And Zoonotic Diseases, 6(1):73-82.
  

· Henebry G.M., 2006. Mapping human settlements using the mir-IR: advantages, prospects, and limitations., Pages 339-355, In: Urban Remote Sensing (Eds. Weng Q. & Quattrochi D.). CRC Press: Boca Raton, 432 pages.

· Aguilar-Amuchastegui N. & Henebry G.M., 2006. Monitoring sustainability in tropical forests: How changes in canopy, spatial pattern, can indicate forest stands for biodiversity surveys, IEEE Geoscience And Remote Sensing Letters, 3(3):329-333.
 

· Roy D.P., Boschetti L. & Trigg S.N., 2006. Remote sensing of fire severity: Assesing the performance of the normalized Burn ratio, IEEE Geoscience And Remote Sensing Letters, 3(1):112-116.
 

· Wimberly M.C., 2006. Species dynamics in disturbed landscapes: When does a shifting habitat mosaic enhance connectivity?, Landscape Ecology, 21(1):35-46.
  

· Roy D.P., Lewis P., Schaaf C.B., Devadiga S. & Boschetti L., 2006. The global impact of clouds on the production of MODIS bidirectional reflectance model-based composites for terrestrial monitoring, IEEE Geoscience And Remote Sensing Letters, 3(4):452-456.
 

· Roy D.P., Trigg S.N., Bhima R., Brockett B.H., Dube O.P., Frost P., Govender N., Landmann T., Le Roux J., Lepono T., Macuacua J., Mbow C., Mhwandangara K.L., Mosepele B., Mutanga O., Neo-Mahupeleng G., Norman M. & Virgilo S., 2006. The utility of satellite fire product accuracy information - Perspectives and recommendations from the southern Africa fire network, IEEE Transactions On Geoscience And Remote Sensing, 44(7):1928-1930.
 

· Reilly M.J., Wimberly M.C. & Newell C.L., 2006. Wildfire effects on beta-diversity and species turnover in a forested landscape, Journal Of Vegetation Science, 17(4):447-454.
 

· Trigg S.N., Roy D.P. & Flasse S.P., 2005. An in situ study of the effects of surface anisotropy on the remote sensing of burned savannah, International Journal Of Remote Sensing, 26(21):4869-4876.
 

· Wang C.Z., Qi J.G. & Cochrane M.A., 2005. Assessment of tropical forest degradation with canopy fractional cover from landsat ETM plus and IKONOS imagery, Earth Interactions, 9.
 

· de Beurs K.M. & Henebry G.M., 2005. A statistical framework for the analysis of long image time series, International Journal Of Remote Sensing, 26(8):1551-1573.
 

· Roy D.P. & Landmann T., 2005. Characterizing the surface heterogeneity of fire effects using multi-temporal reflective wavelength data, International Journal Of Remote Sensing, 26(19):4197-4218.
 

· Souza C.M., Roberts D.A. & Cochrane M.A., 2005. Combining spectral and spatial information to map canopy damage from selective logging and forest fires, Remote Sensing Of Environment, 98(2-3):329-343.
 

· Jin Y. & Roy D.P., 2005. Fire-induced albedo change and its radiative forcing at the surface in northern Australia, Geophysical Research Letters, 32(13).
 

· Segele Z.T., Stensrud D.J., Ratcliffe A.C. & Henebry G.M., 2005. Influence of a hailstreak on boundary layer evolution, Monthly Weather Review, 133(4):942-960.
 

· Henebry G.M., de Beurs K.M. & Gitelson A.A., 2005. Land surface phenologies of Uzbekistan and Turkmenistan between 1982 and 1999., Arid Ecosystems, 11(26-27):25-32.

· de Beurs K.M. & Henebry G.M., 2005. Land surface phenology and temperature variation in the International Geosphere-Biosphere Program high-latitude transects, Global Change Biology, 11(5):779-790.
 

· Barber C.P. & Shortridge A., 2005. Lidar elevation data for surface hydrologic modeling: resolution and representation issues, Cartography and Geographic Information Science, 32(4).

· Matricardi E.A., Skole D.L., Cochrane M.A., Qi J.G. & Chomentowski W., 2005. Monitoring selective logging in tropical evergreen forests using landsat: Multitemporal regional analyses in Mato Grosso, Brazil, Earth Interactions, 9.
 

· Kolaczyk E.D., Ju J. & Gopal S., 2005. Multiscale and multigranular statistical image segmentation, Journal Of American Statistical Association, 100(472):1358-1369.

· Ju J., Gopal S. & Kolaczyk E.D., 2005. On the choice of spatial and categorical scale in remote sensing land cover characterization, Remote Sensing Of Environment, 96(1):62-77.

· Roy D.P., Jin Y., Lewis P.E. & Justice C.O., 2005. Prototyping a global algorithm for systematic fire-affected area mapping using MODIS time series data, Remote Sensing Of Environment, 97(2):137-162.
 

· Privette J.L. & Roy D.P., 2005. Southern Africa as a remote sensing test bed: the SAFARI 2000 Special Issue overview, International Journal Of Remote Sensing, 26(19):4141-4158.
 

· Yabsley M.J., Wimberly M.C., Stallknecht D.E., Little S.E. & Davidson W.R., 2005. Spatial analysis of the distribution of Ehrlichia chaffeensis, causative agent of human monocytotropic ehrlichiosis, across a multi-state region, American Journal Of Tropical Medicine And Hygiene, 72(6):840-850.
  

· Vina A. & Henebry G.M., 2005. Spatio-temporal change analysis to identify anomalous variation in the vegetated land surface: ENSO effects in tropical South America, Geophysical Research Letters, 32(21).
 

· Laurance W.F., Bergen S., Cochrane M.A., Fearnside P.M., Delamonica P., D'Angelo S., Barber C.P. & Fernandes T., 2005. The future of the Amazon, Pages 583-609, In: Tropical rainforests: past, present, and future. (Eds. Bermingham E., Dick C. & Moritz C.). University of Chicago, Chicago & London, 745 pages.

· Parker M.D., Ratcliffe I.C. & Henebry G.M., 2005. The July 2003 Dakota hailswaths: Creation, characteristics, and possible impacts, Monthly Weather Review, 133(5):1241-1260.
 

· Roy D.P., Frost P.G.H., Justice C.O., Landmann T., Le Roux J.L., Gumbo K., Makungwa S., Dunham K., Du Toit R., Mhwandagara K., Zacarias A., Tacheba B., Dube O.P., Pereira J.M.C., Mushove P., Morisette J.T., Vannan S.K.S. & Davies D., 2005. The Southern Africa Fire Network (SAFNet) regional burned-area product-validation protocol, International Journal Of Remote Sensing, 26(19):4265-4292.
 

· Tcherepanov E.N., Zlotnik V.A. & Henebry G.M., 2005. Using Landsat thermal imagery and GIS for identification of groundwater discharge into shallow groundwater-dominated lakes, International Journal Of Remote Sensing, 26(17):3649-3661.