2020 - Current

  • Xing, F., An, R. Guo X. & Shen, X. (2024). Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model GIScience Remote Sensing. GIScience and Remote Sensing, 61(1): 1-26.

  • Li, X., Fan, Z., Sha, J., Guo, X., Zheng, C., Shifaw, E. & Wang, J. (2024). The comparative study of urban ecosystem health change in Asian and African coastal cities—Changle in China and Suez in Egypt. Ecological Indicators, 159(2024): 1-12.

  • Mu, Y., Jia, X., Ye, Z., Zha, T., Guo, X., Black, T.A., Zhang, Y. Hao S., Han, C., Gao, S., Qin, S., Liu, P. & Tian, Y. (2024). Dry-season length affects the annual ecosystem carbon balance of a temperate semi-arid shrubland. Science of the Total Environment (STOTEN), 917(2024): 1-10.

  • Lu, X., Owens-Beek, N., McKay, R., Webb, J., Guo, X. & Natcher, D. (2024). Forecasting Industrial Induced Tipping Points in First Nations’ Land Use in Northeast British Columbia. Extractive Industries and Society, 17(2024): 1-12.

  • Doan, T., Liccioli, S., Sliwinski, M., Samson, C., Biligetu, B., Sawatzky, M. & Guo, X. (2024). Resource Selection Function-Adjusted Carrying Capacity Informs Bison Conservation Management in the Imperial Mixed Grassland Ecosystem. Rangeland Ecology & Management, 93(2024): 1-14.

  • Chutko, K. & Guo, X. (2023). Effects of COVID-19 on First Year Undergraduate Research in Physical Geography. Education Sciences, 2023(13): 1080.

  • Xing, F., An, R., Guo, X., Shen, X., Soubry, I., Wang, B., Mu, Y. & Huang, X. (2023). Mapping alpine grassland fraction coverage using Zhuhai-1 OHS imagery in the Three River Headwaters Region, China. Remote Sensing, 2023(15): 2289.

  • Yu, X. & Guo, X. (2023). Inter-annual drought monitoring in northern mixed grasslands by a revised vegetation health index from historical Landsat imagery. Journal of Arid Environments, 2023(213): 104964.

  • Frank, T., Antonio, Silva Junior C., Chutko, K.J., Teodoro, P.E., de, Oliveira-Junior J.F. & Guo, X. (2022). Is the gridded data accurate? Evaluation of precipitation and historical wet and dry periods from ERA5 data for Canadian Prairies. Remote Sensing, 2022(14): 6347.

  • Soubry, I., Robinov, L., Chu, T. & Guo, X. (2022). Mapping shrub cover in grasslands with an object-based approach and investigating the connection to topo-edaphic factors. Geocarto International, 2022: 1-26.

  • Soubry, I. & Guo, X. (2022). Invasive and native woody plant encroachment: Definitions and debates. Journal of Plant Science and Phytopathology, 2022(6): 084-086.

  • Frank, T., Smith, A., Houston, B., Yang, X. & Guo, X. (2022). Estimating biophysical parameters of native grasslands using spectral data derived from close range hyperspectral and satellite data. Canadian Journal of Remote Sensing, 2022: 1-16.

  • Xu, D., Liu, Y., Xu, W. & Guo, X. (2022). The impact of dead vegetation in grasslands on the spectral parameters in the yellow-edge, red-edge and NIR shoulder wavelength regions. Remote Sensing, 2022(14): 1-17.

  • Frank, T., Smith, A., Houston, B., Lindsay, E. & Guo, X. (2022). Differentiation of six grassland/forage types in three Canadian ecoregions based on spectral characteristics. Remote Sensing, 2022(14): 1-15.

  • Soubry, I. & Guo, X. (2022). Quantifying Woody Plant Encroachment in Grasslands: A Review on Remote Sensing Approaches. Canadian Journal of Remote Sensing,

  • Yu, X. & Guo, X. (2021). Extracting Fractional Vegetation Cover from Digital Photographs: A Comparison of In Situ, Sample Point, and Image Classification Methods. Sensors, 2021(21:7310): 1-15.

  • Xu, D., Harder, J., Xu, W. & Guo, X. (2021). Evaluating the impact of grazing cessation and reintroduction in mixed prairie using raster time series analysis of Landsat data. Remote Sensing, 2021(13): 1-21.

  • Soubry, I., Doan, T., Chu, T. & Guo, X. (2021). A systematic review on the integration of remote sensing and GIS to forest and grassland ecosystem health attributes, indicators, and measures. Remote Sensing, 2021(13): 1-30.

  • Soubry, I. & Guo, X. (2021). Seasonal spectral separation of western snowberry and wolfwillow in grasslands with field spectroradiometer and simulated multispectral bands. Environments, 8(60): 1-16.

  • Zhang, T., Vail, S., Duddu, H., Parkin, I., Guo, X. & Shirtliffe, S. (2021). Phenotyping Flowering in Canola (Brassica napus L.) and Estimating Seed Yield Using an Unmanned Aerial Vehicle (UAV)-based Imagery. Frontiers in Plant Science, 12: 1-15.

  • Ren, L., , Zhang, S., Guo, X., , Cheng, L., , Guo, Y. & Ding, A. (2021). Temporal dependence of burn severity assessment in Siberian larch (Larix sibirica) forest of northern Mongolia using remotely sensed data. Environmental Monitoring and Assessment, 193(406):

  • Soubry, I. & Guo, X. (2021). Identification of the optimal season and spectral regions for shrub cover estimation in grasslands. Sensors, 2021(21:3098): 1-26.

  • Xu, D., Pu, Y. & Guo, X. (2020). A semi-automated method to extract green and non-photosynthetic vegetation cover from RGB images in mixed grasslands. Sensors, 2020(20): 6870.

  • He, Y., Yang, J. & Guo, X. (2020). Green vegetation cover dynamics in a heterogeneous grassland: Spectral unmixing of Landsat time series from 1989-2014. Remote Sensing, 2020(12): 3826.

  • Cui, T., Martz, L., Zhao, L. & Guo, X. (2020). Investigating the impact of the temporal resolution of MODIS data on measured phenology in the prairie grasslands. GIScience and Remote Sensing, 57(3): 395-410.

  • Xu, D., An, D. & Guo, X. (2020). The Impact of Non-Photosynthetic Vegetation on LAI Estimation by NDVI in Mixed Grassland. Remote Sensing, 2020(1979): 1-12.

  • Abirhire, O., Davies, J.M., Guo, X. & Hudson, J. (2020). Understanding the factors associated with long-term reconstructedturbidity in Lake Diefenbaker from Landsat-imagery. Science of the Total Environment, 724(2020): 1-13.

2016 - 2019

  • Cui, T., Martz, L., Lamb, E., Zhao, L. & and, Guo X. (2019). Comparison of Grassland Phenology Derived from MODIS Satellite and PhenoCam Near-Surface Remote Sensing in North America. Canadian Journal of Remote Sensing,

  • Fang, X., Chen, Z., Guo, X., Zhu, S. Liu T., Li, C. & He, B. (2019). Impacts and uncertainties of climate/CO2 change on net primary productivity in Xinjiang, China (2000-2014): A modelling approach. Ecological Modelling, 408(2019):

  • Yu, X., Guo, Q., Chen, Q. & Guo, X. (2019). Discrimination of senescent vegetation cover from Landsat- 8 OLI imagery by spectral unmixing in the northern mixed grasslands. Canadian Journal of Remote Sensing, 45(2): 192-208.

  • Doan, T. & Guo, X. (2019). Understanding bison carrying capacity estimation in Northern Great Plains using remote sensing and GIS. Canadian Journal of Remote Sensing, 45(2): 139-162.

  • Attanayake AU, Xu D, Guo X, Lamb EG, (2019). Long-Term Sand Dune Spatio-Temporal Dynamics and Endemic Plant Habitat Extent in the Athabasca Sand Dunes of Northern Saskatchewan, Remote Sensing in Ecology and Conservation.
  • Li Z, Guo X, (2018). Non-photosynthetic vegetation biomass estimation in semiarid Canadian mixed grasslands using ground hyperspectral data, Landsat 8 OLI, and Sentinel-2 images, International Journal of Remote Sensing, 2018 1 - 21.
  • Guo X, Loy K, Banoow R, (2018). Can First-Year Undergraduate Geography Students Do Individual Research?, Journal of Geography in Higher Education,
  • Xu D, Koper N, Guo X, (2018). Quantifying the influences of grazing, climate and their interactions on grasslands using Landsat TM images, Grassland Science, 64 118 - 127.
  • Ren H, Zhang B, Guo X, (2018). Estimation of litter mass in nongrowing seasons in arid grasslands using MODIS satellite data, European Journal of Remote Sensing, 51(1): 222 - 230.
  • Cui T, Martz L, Guo X, (2017). Grassland phenology response t drought in the Canadian prairies, Remote Sensing, 2017(9): 1 - 21.
  • Li Z, Guo X, (2017). Can Polarimetric Radarsat-2 images provide a solution to quantify non-photosynthetic vegetation biomass in semi-arid mixed grassland?, Canadian Journal of Remote Sensing, 43(6): 593 - 607.
  • Chen L., Chen S., Guo X.,  (2017). Multilayer NMF for Blind Unmixing of Hyperspectral Imagery with Additional Constraints, Photogrammetric Engineering & Remote Sensing, 83(4): 307 - 316.
  • Chu T., Guo X., Takeda K., (2017). Effects of Burn Severity and Environmental Conditions on Post-fire Regeneration in Siberian Larch Forest, Forests, 8(76): 1 - 27.
  • Chen L., Chen S., Guo X., Zhou C., (2016). Impact factor analysis of mixture spectra unmixing based on independent component analysis, Journal of Applied Remote Sensing, 10(1). doi: 10.1117/1.JRS.10.015012.
  • Chu T., Guo X., Takeda K., (2016). Remote sensing approach to detect post-fire vegetation regrowth in Siberian boreal larch forest, Ecological Indicators, 62:32 - 46.

2015

  • Chu T., Guo X., (2015). Compositing MODIS time series for reconstructing burned areas in the taiga-steppe transition zone of northern Mongolia, International Journal of Wildland Fire, 24(3): 419 - 432. 
  • Li Z., Guo X., (2015). Remote sensing of terrestrial non-photosynthetic vegetation using hyperspectral, multispectral, SAR, and LiDAR data, Progress in Physical Geography, 40(2): 276 - 304. DOI: 10.1177/0309133315582005.
  • Shen L., Guo X., Xiao K., (2015). Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: A case study in the city of Saskatoon (SK, Canada), Open Geosciences, 7(1): 27 - 39.
  • Yu X., Wu Z., Jiang W., Guo X., (2015). Predicting daily photosynthetically active radiation from global solar radiation in the Contiguous United States, Energy Conversion and Management, 89: 71 - 82.
  • Xu D., Guo X., (2015). Evaluating the impacts of nearly 30 years of conservation on grassland ecosystem using Landsat TM images, Grassland Science, 61(4): 227 - 242. doi: 10.1111/grs.12098.
  • Xu D., Guo X., (2015). Some insights on grassland health assessment based on remote sensing, Sensors, 15(2): 3070 - 3089. doi:10.3390/s150203070.
  • Yu X., Guo X., (2015). Hourly photosynthetically active radiation estimation in Midwestern United States from artificial neural networks and conventional regressions models. International Journal of Biometeorology. 60(8):1247-1259. DOI: 10.1007/s00484-015-1120-9.

2014

  • Chu T., Guo X., (2014). Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review, Remote Sensing. 6:470-520. doi:10.3390/rs6010470.
  • Li, M., Guo, X., (2014). Long term effect of major disturbances on the northern mixed grassland ecosystem - a review, Open Journal of Ecology. 4: 214-233. http://dx.doi.org/10.4236/oje.2014.44021.
  • Li, Z., Guo, X., (2014). Topographic effects on vegetation biomass in semiarid mixed grassland under climate change using AVHRR NDVI data, British Journal of Environment & Climate Change, 4229 - 242.
  • Li Z., Xu D., Guo X., (2014). Remote sensing of ecosystem health: Opportunities, Challenges, and future perspectives, Sensors, 14(11): 21117 - 21139; doi:10.3390/s141121117.
  • Shen, L., Guo, X., (2014). Spatial Quantification and Pattern Analysis of Urban Sustainability Based on a Subjectively Weighted Indicator Model: A Case Study in the City of Saskatoon, Sk, Canada, Applied Geography, 53(2014): 117-127
  • Shen, L., Li, Z., Guo, X., (2014). Remote sensing of leaf area index (LAI) and a spatiotemporally parameterized model for mixed grasslands, International Journal of Applied Science and Technology. 4(1): 46-61.
  • Xu, D., Guo, X., (2014). Compare NDVI extracted from Landsat 8 imagery with that from Landsat 7 imagery, American Journal of Remote Sensing. 2(2): 10-14. doi: 10.11648/j.ajrs.20140202.11
  • Xu D., Guo X., Li Z., Yang X., Yin H., (2014). Measuring the dead component of mixed grassland with Landsat imagery, Remote Sensing of Environment. 142:33-43.
  • Yang X., Guo X., (2014). Quantifying responses of spectral vegetation indices to dead materials in mixed grasslands, Remote Sensing, 6(5): 4289 - 4304. doi:10.3390/rs6054289.
  • Yu, X., Guo, X., (2014). Land Surface Temperature Retrieval from Landsat 8 TIRS Comparison between Radiative Transfer Theory Method, Split Window Algorithm and Single Channel Method, Remote Sensing. 6:9829-9852. doi:10.3390/rs6109829.
  • Yu, X., Guo, X., Wu, Z., (2014). Investigating the potential of long time series remote sensing NDVI datasets for forest gross primary productivity estimation over continental U.S. 4(4): 55-71.

2013

  • Guo X., Wilmshurst J., (2013). Special section on grasslands, Canadian Journal of Remote Sensing, 39(2): 153.
  • Li Z., Guo X., (2013). Leaf area index estimation in semiarid mixed grassland by considering both temporal and spatial variations, Journal of Applied Remote Sensing, 7(1), 073567; doi: 10.1117/1.JRS.7.073567.
  • Shen, L., Guo, X., (2013). How to identify efficient indicators or indices for applicable urban sustainability, International Journal of Humanities and Social Science. 3(14):51-60.
  • Shen L., He Y., Guo X., (2013). Exploration of Loggerhead Shrike Habitats in Grassland National Park of Canada Based on in Situ Measurements and Satellite-Derived Adjusted Transformed Soil-Adjusted Vegetation Index (ATSAVI), Remote Sensing, 5(1): 432 - 453. doi:10.3390/rs5010432.
  • Shen L., He Y., Guo X., (2013). Suitability of the normalized difference vegetation index and the adjusted transformed soil-adjusted vegetation index for spatially characterizing loggerhead shrike habitats in North American mixed prairie, Journal of Applied Remote Sensing, 7(1), 073574; doi: 10.1117/1.JRS.7.073574.
  • Shen L., Kyllo J., Guo X., (2013). An integrated model based on a hierarchical indices system for monitoring and evaluating urban sustainability, Sustainability, 5(2): 524 - 559. doi:10.3390/su5020524.
  • Xu D., Guo X., (2013). A study of soil line simulation from landsat images in mixed grassland, Remote Sensing, 5(9): 4533 - 4550; doi:10.3390/rs5094533
  • Yang X., Kovach E., Guo X., (2013). Biophysical and spectral responses to various burn treatments in the northern mixed-grass prairie, Canadian Journal of Remote Sensing, 39(2): 175 - 184.

2012

  • Chu, T. Guo, X., (2012). Characterizing vegetation response to climatic variations in Hovsgol, Mongolia using remotely sensed time series data. Earth Science Research. 1(2): 279-290. URL: http://dx.doi.org/10.5539/esr.v1n2p279.
  • Guo X., Pomeroy J., Fang X., Lowe S., Li Z., Westbrook C., Minke A., (2012). Effects of classification approaches on CRHM model performance, Remote Sensing Letters, 3(1): 39 - 47.
  • He, Y., Dixon, P., Wilmhurst, J., Guo, X., (2012). AVHRR NDVI Baseline for Natural Vegetation Ecosystems in Northern Canadian National Parks, Journal of Geophysics and Remote Sensing, 1(1): 100 - 103. URL: http://dx.doi.org/10.4172/jgrs.1000103.
  • He Y., Guo X., Dixon P., Wilmshurst J., (2012). NDVI variation and its relation to climate in Canadian ecozones, Canadian Geographer, 56(4): 492 - 507.
  • Li Z., Guo X., (2012). A suitable NDVI product for monitoring spatiotemporal variations of LAI in semiarid mixed grassland, Canadian Journal of Remote Sensing, 38(6): 683 - 694.
  • Li Z., Guo X., (2012). Detecting climate effects on vegetation in northern mixed rairie using NOAA AVHRR 1-km time-series NDVI data, Remote Sensing, 4(1): 120 - 134.
  • Lowe, S., Guo, X., (2012). Landscape spatial structure for predicting suitable habitat: the case of Dalea Villosa in Saskatchewan, Open Journal of Ecology, 2(2): 60 - 73. doi:10.4236. Openly accessible at http://www.scirp.org/journal/oje/
  • Shen L., Xu H., Guo X., (2012). Satellite remote sensing of harmful algal blooms (HABs) and a potential synthesized framework, Sensors, 12(6): 7778 - 7803; doi:10.3390/s120607778
  • Shen, L., Xu, H., Guo, X., Wu, P., (2012). Oceanography of Skeletonema costatum harmful algal blooms in the east China sea using MODIS and QuickSCAT satellite data, Journal of Applied Remote Sensing, 7(1), 073574; doi: 10.1117/1.JRS.7.073574.
  • Yang X., Guo X., Fitzsimmons M., (2012). Assessing light to moderate grazing effects on grassland production using satellite imagery, International Journal of Remote Sensing. 33(16): 5087-5104.

2011

  • Banerjee, S., He, y., Guo, X., Si, B.C., (2011). Spatial relationships between leaf area index and topographic factors in a semiarid grassland: joint multifractal analysis, Australian Journal of Crop Science, 5(6): 756 - 763.
  • Dancose K, Fortin D, Guo X, (2011). Mechanisms of functional connectivity: the case of free-ranging bison in a forest landscape., Ecological applications : a publication of the Ecological Society of America, 21(5): 1871 - 1885.
  • Franklin S., He Y., Pape A., Guo X., McDermid G., (2011). Landsat-comparable land cover maps using ASTER and SPOT images: A case study for large-area mapping programmes, International Journal of Remote Sensing, 32(8): 2185 - 2205.
  • Guo X., Black S., He Y., (2011). Estimation of leaf CO 2 exchange rates using a SPOT image, International Journal of Remote Sensing, 32(2): 353 - 366.
  • Hangs, R.D., Van Rees, K.C.J., Schoenau, J.J., Guo, X,. (2011). A simple technique for estimating above-ground biomass in short-rtation willow plantations. Biomass and Bioenergy. 35: 2156-2162.
  • He Y., Franklin S., Guo X., Stenhouse G., (2011). Object-oriented classification of multi-resolution images for the extraction of narrow linear forest disturbance, Remote Sensing Letters, 2(2): 147 - 155.
  • Jiang X., Cheng J., Guo X., (2011). The flocculation of fine-grained suspended sediment and its impact on spectral characteristics based on in situ measurement in the Changjiang Estuary, China, Canadian Journal of Remote Sensing, 37(4): 404 - 412.
  • Lowe S., Guo X., (2011). Detecting an optimal scale parameter in object-oriented classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 4(3):1-6.
  • Shen L., Xu H., Guo X., (2011). Characteristics of large-scale harmful algal blooms (HABs) in the Yangtze River estuary and the adjacent east China sea( ECS) from 2000 to 2010, Journal of Environmental Protection, 1285 - 1294. DOI: 10.4236/jep.2011.210148.
  • Yang, X., Wilmhurst, J., Fitzsimmons, M., Guo, X., (2011). Can satellite imagery evaluate the pre-condition of a grazing experiment?, The Prairie Perspectives, 14(2011): 45 - 50.
  • Yang X., Guo X., (2011). Investigating vegetation biophysical and spectral parameters for detecting light to moderate grazing effects: A case study in mixed grass prairie, Central European Journal of Geosciences, 3(3): 336 - 348.

2010

  • Fang X., Pomeroy J., Westbrook C., Guo X., Minke A., Brown T., (2010). Prediction of snowmelt derived streamflow in a wetland dominated prairie basin, Hydrology and Earth System Sciences, 14(6): 991 - 1006.
  • Li Z., Guo X., (2010). A suitable vegetation index for quantifying temporal variation of leaf area index (LAI) in semiarid mixed grassland, Canadian Journal of Remote Sensing, 36(6): 709 - 721.
  • Wang K., Franklin S., Guo X., (2010). The applicability of a small satellite constellation in classification for large-area habitat mapping: A case study of DMC multispectral imagery in west-central Alberta, Canadian Journal of Remote Sensing, 36(6): 671 - 681.
  • Wang K., Franklin S., Guo X., Cattet M., (2010). Remote sensing of ecology, biodiversity and conservation: A review from the perspective of remote sensing specialists, Sensors, 10(11): 9647 - 9667.
  • Guo X., Wilmshurst J., Li Z., (2010). Comparison of laboratory and field remote sensing methods to measure forage quality, International Journal of Environmental Research and Public Health, 7(9): 3513 - 3530.
  • Wang K., Franklin S., Guo X., Collingwood A., Stenhouse G., Lowe S., (2010). Comparison of Landsat multispectral and IRS panchromatic imagery for landscape pattern analysis of grizzly bear habitat in agricultural areas of western Alberta, Canadian Journal of Remote Sensing, 36(1): 36 - 47.

2009

  • Collingwood A., Franklin S., Guo X., Stenhouse G., (2009). A medium-resolution remote sensing classification of agricultural areas in Alberta grizzly bear habitat, Canadian Journal of Remote Sensing, 35(1): 23 - 36.
  • He Y., Franklin S., Guo X., Stenhouse G., (2009). Narrow-linear and small-area forest disturbance detection and mapping from high spatial resolution imagery, Journal of Applied Remote Sensing, 3(1): 033570.
  • He Y., Guo X., Wilmshurst J., (2009). Reflectance measures of grassland biophysical structure, International Journal of Remote Sensing, 30(10): 2509 - 2521.
  • Wang K., Franklin S., Guo X., He Y., McDermid G., (2009). Problems in remote sensing of landscapes and habitats, Progress in Physical Geography, 33(6): 747 - 768.
  • Wunderle A., Franklin S., Guo X., (2009). Age class estimation of western red cedar using SPOT-5 pan-sharpened imagery in British Columbia, Canada, Geocarto International, 24(1): 47 - 63.

2008

  • Dixon P., He Y., Guo X., (2008). Satellite monitoring of northern ecosystems, Geomatica, 62(2): 151 - 158.
  • Franklin S., Fan H., Guo X., (2008). Relationship between landsat TM and SPOT vegetation indices and cumulative spruce budworm defoliation, International Journal of Remote Sensing, 29(4): 1215 - 1220.
  • Guo X., He Y., (2008). Mismatch of band sequences between an image and header file: A potential error in SPOT L1A products, Canadian Journal of Remote Sensing, 34(1):1-4.
  • Li, Z., Guo, X., Dixon, P., He, Y.,  (2008). Applicability of land surface temperature (LST) estimates from AVHRR satellite image composites in northerm Canada. Prairie Perspectives. 11:119-130.
  • Zhang C., Guo X., (2008). Monitoring northern mixed prairie health using broadband satellite imagery, International Journal of Remote Sensing, 29(8): 2257 - 2271.
  • Zhang, C., Guo, X., (2008). Monitoring temporal heterogeneity in a protected mixed prairie ecosystem using 10-day NDVI composite, The Prairie Forum, 33(1): 145 - 166.

2007

  • Black S., Guo X., (2007). Estimation of grassland CO2 exchange rates using hyperspectral remote sensing techniques, International Journal of Remote Sensing, 29(1): 145 - 155.
  • He Y., Guo X., Wilmshurst J., (2007). Comparison of different methods for measuring leaf area index in a mixed grassland, Canadian Journal of Plant Science, 87(4): 803 - 813.
  • He, Y., Guo, X., Si, B., (2007). Detecting grassland spatial variation by a wavelet approach. International Journal of Remote Sensing, 28(7): 1527-1545.
  • Tallon, L.K., Si,  B.C., Korber, D., Guo, X., (2007). Soil wetting state and preferential transport of Escherichia coli in clay soils. Canadian Journal of Soil Science, 87: 61-72.
  • Wunderle A., Franklin S., Guo X., (2007). Regenerating boreal forest structure estimation using SPOT-5 pansharpened imagery, International Journal of Remote Sensing, 28(19): 4351 - 4364.
  • Zhang C., Guo X., (2007). Measuring biological heterogeneity in the northern mixed prairie: A remote sensing approach, Canadian Geographer, 51(4): 462 - 474.

2006 - 2000

  • He, Y., Guo, X., (2006). Leaf area index estimation using remotely sensed data for Grasslands National Park, Prairie Perspectives, 9(1): 105 - 117.
  • He Y., Guo X., Wilmshurst J., (2006). Studying mixed grassland ecosystems I: Suitable hyperspectral vegetation indices, Canadian Journal of Remote Sensing, 32(2): 98 - 107.
  • He, Y., Guo, . Wilmshurst, J., Si, B., (2006). Studying mixed grassland ecosystems II: optimum pixel size. Canadian Journal of Remote Sensing, 32(2): 108-115.
  • Zhang C., Guo X., Wilmshurst J., Sissons R., (2006). Application of RADARSAT imagery to grassland biophysical heterogeneity assessment, Canadian Journal of Remote Sensing, 32(4): 281 - 287.
  • Black, S., Guo, X., Zhang, C., (2005). Evaluation of photosynthesis rates of introduced and native species in a mixed grassland ecosystem, Prairie Perspectives, 8: 1 - 10.
  • He, Y., Guo, X., (2005). Impact of Climate Change with Enhanced UV-B Radiation on Chinese Agricultural NPP, Prairie Perspectives, 8: 50 - 60.
  • Guo, X., Zhang, C., Sissons, R., Wilmhurst, J.F., (2005). Bird populations and remote sensing, Prairie Perspectives, 8: 37 - 49.
  • Guo, X., Zhang, C, Wilmhurst, J.F., Sissons, R., (2005). Monitoring grassland health with remote sensing approaches, The Prairie Perspectives, 8: 11 - 22.
  • Zhang, C., Guo, X., (2005). The evaluation of broadband vegetation indices on monitoring northern mixed grassland, Prairie Perspectives, 8:23-36.
  • Zhu F., Zheng Y., Guo X., Wang S., (2005). Environmental impacts and benefits of regional power grid interconnections for China, Energy Policy, 33(14): 1797 - 1805.
  • Guo X., Wilmshurst J., McCanny S., Fargey P., Richard P., (2004). Measuring Spatial and Vertical Heterogeneity of Grasslands Using Remote Sensing Techniques, JOURNAL OF ENVIRONMENTAL INFORMATICS, 3(1):24-32.
  • Guo, X., (2003). Assessing grassland vegetation dynamics and climatological variability in the Mixed Prairie ecosystem, Prairie Perspectives, 6: 32 -46.
  • Guo, X., Price, K.P., Stiles, J.M., (2003). Grasslands Discriminant Analysis Using Landsat TM Multitemporal Data, Photogrammetric Engineering & Remote Sensing (PE&RS). 69(11):1255-1262.
  • Guo, X., (2002). Discrimination of Saskatchewan prairie ecoregions using multitemporal 10-day composite NDVI data, Prairie Perspectives, 5:174-186.
  • Price K., Guo X., Stiles J., (2002). Comparison of landsat TM and ERS-2 SAR data for discriminating among grassland types and treatments in eastern Kansas, Computers and Electronics in Agriculture, 37:157-171.
  • Price K., Guo X., Stiles J., (2002). Optimal landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas, International Journal of Remote Sensing, 23(23): 5031 - 5042.
  • Guo, X., Price, K.P., Stiles, J.M., (2000). Biophysical and spectral characteristics of three land management practices on cool and warm season grasslands in eastern Kansas, Natural Resources Research, 9(4): 321 - 331.
  • Guo, X., Price, K.P., Stiles, J.M., (2000). Modeling biophysical factors for grasslands in eastern Kansas using Landsat TM data, The Transaction of Kansas Academy of Science, 103(3): 122 - 138.