The following 120 publications cited the Model Archive project.
| Year | Citation | Dataset or Project |
|---|---|---|
| 2021 | Belenok, V., T. Noszczyk, L. Hebryn-Baidy, and S. Kryachok. 2021. Investigating anthropogenically transformed landscapes with remote sensing. Remote Sensing Applications: Society and Environment. 24:100635. https://doi.org/10.1016/j.rsase.2021.100635 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Crockett, E.T.H., S. Vennin, J. Botzas-Coluni, G. Larocque, and E.M. Bennett. 2021. Bright spots of carbon storage in temperate forests. Journal of Applied Ecology. 58(12):3012-3022. https://doi.org/10.1111/1365-2664.14042 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2021 | Eneyew, B.G. and W.W. Assefa. 2021. Anthropogenic effect on wetland biodiversity in Lake Tana Region: A case of Infranz Wetland, Northwestern Ethiopia. Environmental and Sustainability Indicators. 12:100158. https://doi.org/10.1016/j.indic.2021.100158 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Fornacca, D., G. Ren, and W. Xiao. 2021. Small fires, frequent clouds, rugged terrain and no training data: a methodology to reconstruct fire history in complex landscapes. International Journal of Wildland Fire. 30(2):125. https://doi.org/10.1071/WF20072 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Kharuk, V.I., S.T. Im, and I.y.A. Petrov. 2021. Alpine ecotone in the Siberian Mountains: vegetation response to warming. Journal of Mountain Science. 18(12):3099-3108. https://doi.org/10.1007/s11629-021-6876-2 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Phan, D.C., T.H. Trung, V.T. Truong, T. Sasagawa, T.P.T. Vu, D.T. Bui, M. Hayashi, T. Tadono, and K.N. Nasahara. 2021. First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam. Scientific Reports. 11(1):. https://doi.org/10.1038/s41598-021-89034-5 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Popov, M., S. Stankevich, A. Kozlova, I. Piestova, M. Lubskiy, O. Titarenko, M. Svideniuk, A. Andreiev, A. Lysenko, and S.K. Singh. 2021. Long-Term Satellite Data Time Series Analysis for Land Degradation Mapping to Support Sustainable Land Management in Ukraine. 165-189. https://doi.org/10.1007/978-981-16-4768-0_11 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2021 | Swetnam, T.L., S.R. Yool, S. Roy, and D.A. Falk. 2021. On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine. Remote Sensing. 13(8):1448. https://doi.org/10.3390/rs13081448 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2020 | Chen, B., Y. Song, B. Huang, and B. Xu. 2020. A novel method to extract urban human settlements by integrating remote sensing and mobile phone locations. Science of Remote Sensing. 1:100003. https://doi.org/10.1016/j.srs.2020.100003 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2020 | Hislop, S., A. Haywood, S. Jones, M. Soto-Berelov, A. Skidmore, and T.H. Nguyen. 2020. A satellite data driven approach to monitoring and reporting fire disturbance and recovery across boreal and temperate forests. International Journal of Applied Earth Observation and Geoinformation. 87:102034. https://doi.org/10.1016/j.jag.2019.102034 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2020 | Pereira, O.J.R., E.R. Merino, C.R. Montes, L. Barbiero, A.T. Rezende-Filho, Y. Lucas, and A.J. Melfi. 2020. Estimating Water pH Using Cloud-Based Landsat Images for a New Classification of the Nhecolandia Lakes (Brazilian Pantanal). Remote Sensing. 12(7):1090. https://doi.org/10.3390/rs12071090 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2020 | Reeves, M.C., B.B. Hanberry, H. Wilmer, N.E. Kaplan, and W.K. Lauenroth. 2020. An Assessment of Production Trends on the Great Plains from 1984 to 2017. Rangeland Ecology & Management. https://doi.org/10.1016/j.rama.2020.01.011 | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2019 | Castelli, G., F. Castelli, and E. Bresci. 2019. Mesoclimate regulation induced by landscape restoration and water harvesting in agroecosystems of the horn of Africa. Agriculture, Ecosystems & Environment. 275:54-64. https://doi.org/10.1016/j.agee.2019.02.002 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Chamberlain, C.J., B.I. Cook, I. Garcia de Cortazar-Atauri, and E.M. Wolkovich. 2019. Rethinking false spring risk. Global Change Biology. https://doi.org/10.1111/gcb.14642 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2019 | Hillson, R., A. Coates, J.D. Alejandre, K.H. Jacobsen, R. Ansumana, A.S. Bockarie, U. Bangura, J.M. Lamin, and D.A. Stenger. 2019. Estimating the size of urban populations using Landsat images: a case study of Bo, Sierra Leone, West Africa. International Journal of Health Geographics. 18(1):. https://doi.org/10.1186/s12942-019-0180-1 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Hislop, S., S. Jones, M. Soto-Berelov, A. Skidmore, A. Haywood, and T.H. Nguyen. 2019. A fusion approach to forest disturbance mapping using time series ensemble techniques. Remote Sensing of Environment. 221:188-197. https://doi.org/10.1016/j.rse.2018.11.025 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Keller, A.A. and J. Fox. 2019. Giving credit to reforestation for water quality benefits. PLOS ONE. 14(6):e0217756. https://doi.org/10.1371/journal.pone.0217756 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2019 | Li, S., W. Yuan, P. Ciais, N. Viovy, A. Ito, B. Jia, and D. Zhu. 2019. Benchmark estimates for aboveground litterfall data derived from ecosystem models. Environmental Research Letters. 14(8):084020. https://doi.org/10.1088/1748-9326/ab2ee4 | Integrated Biosphere Simulator Model (IBIS), Version 2.5 |
| 2019 | Rasool, Q.Z., J.O. Bash, and D.S. Cohan. 2019. Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1. Geoscientific Model Development. 12(2):849-878. https://doi.org/10.5194/gmd-12-849-2019 | BDSNP Module for Improved Soil NO Emission Estimates for CMAQ Model, Conterminous USA |
| 2019 | Rasool, Q.Z., J.O. Bash, and D.S. Cohan. 2019. Mechanistic representation of soil nitrogen emissions in the Community Multiscale Air Quality (CMAQ) model v 5.1. Geoscientific Model Development. 12(2):849-878. https://doi.org/10.5194/gmd-12-849-2019 | Mechanistic Module for Soil Nitrogen Emissions for CMAQ Model, North America, 2011 |
| 2019 | Sanchez-Ruiz, S., A. Moreno-Martinez, E. Izquierdo-Verdiguier, M. Chiesi, F. Maselli, and M.A. Gilabert. 2019. Growing stock volume from multi-temporal landsat imagery through google earth engine. International Journal of Applied Earth Observation and Geoinformation. 83:101913. https://doi.org/10.1016/j.jag.2019.101913 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Sandera, J. and P. Stych. 2019. Change detection work-flow for mapping changes from arable lands to permanent grasslands with advanced boosting methods. Geodetski vestnik. 63(03):379-394. https://doi.org/10.15292/geodetski-vestnik.2019.03.379-394 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Sultanov, M., M. Ibrakhimov, A. Akramkhanov, C. Bauer, and C. Conrad. 2019. Modelling End-of-Season Soil Salinity in Irrigated Agriculture Through Multi-temporal Optical Remote Sensing, Environmental Parameters, and In Situ Information. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. 86(5-6):221-233. https://doi.org/10.1007/s41064-019-00062-3 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2019 | Zanotta, D.C., L.F. Sartorio, A.S. Lemos, E.G. Machado, and F.S. Dias. 2019. Automatic Methodology for Mass Detection of Past Deforestation in Brazilian Amazon. 6610-6613. https://doi.org/10.1109/IGARSS.2019.8898606 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Chen, B., X. Xiao, H. Ye, J. Ma, R. Doughty, X. Li, B. Zhao, Z. Wu, R. Sun, J. Dong, Y. Qin, and G. Xie. 2018. Mapping Forest and Their Spatial-Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(3):852-867. https://doi.org/10.1109/JSTARS.2018.2795595 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2018 | Chen, B., X. Xiao, H. Ye, J. Ma, R. Doughty, X. Li, B. Zhao, Z. Wu, R. Sun, J. Dong, Y. Qin, and G. Xie. 2018. Mapping Forest and Their Spatial-Temporal Changes From 2007 to 2015 in Tropical Hainan Island by Integrating ALOS/ALOS-2 L-Band SAR and Landsat Optical Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(3):852-867. https://doi.org/10.1109/JSTARS.2018.2795595 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Cissell, J.R. and M.K. Steinberg. 2018. Mapping forty years of mangrove cover trends and their implications for flats fisheries in Cienaga de Zapata, Cuba. Environmental Biology of Fishes. https://doi.org/10.1007/s10641-018-0809-0 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Heimhuber, V., M.G. Tulbure, and M. Broich. 2018. Addressing spatio-temporal resolution constraints in Landsat and MODIS-based mapping of large-scale floodplain inundation dynamics. Remote Sensing of Environment. 211:307-320. https://doi.org/10.1016/j.rse.2018.04.016 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2018 | Hislop, S., S. Jones, M. Soto-Berelov, A. Skidmore, A. Haywood, and T. Nguyen. 2018. Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery. Remote Sensing. 10(3):460. https://doi.org/10.3390/rs10030460 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Umar, M., B.L. Rhoads, and J.A. Greenberg. 2018. Use of multispectral satellite remote sensing to assess mixing of suspended sediment downstream of large river confluences. Journal of Hydrology. 556:325-338. https://doi.org/10.1016/j.jhydrol.2017.11.026 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Van doninck, J. and H. Tuomisto. 2018. A Landsat composite covering all Amazonia for applications in ecology and conservation. Remote Sensing in Ecology and Conservation. 4(3):197-210. https://doi.org/10.1002/rse2.77 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2018 | Wang, Y., B. Jia, and Z. Xie. 2018. The Effects of Dynamic Root Distribution on Land-Atmosphere Carbon and Water Fluxes in the Community Earth System Model (CESM1.2.0). Forests. 9(4):172. https://doi.org/10.3390/f9040172 | Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies |
| 2018 | Weber, D., G. Schaepman-Strub, and K. Ecker. 2018. Predicting habitat quality of protected dry grasslands using Landsat NDVI phenology. Ecological Indicators. 91:447-460. https://doi.org/10.1016/j.ecolind.2018.03.081 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Adhikari, P. and K.M. de Beurs. 2017. Growth in urban extent and allometric analysis of West African cities. Journal of Land Use Science. 12(2-3):105-124. https://doi.org/10.1080/1747423X.2017.1280550 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Botella-Martinez, M.A. and A. Fernandez-Manso. 2017. Estudio de la severidad post-incendio en la Comunidad Valenciana comparando los indices dNBR, RdNBR y RBR a partir de imagenes Landsat 8. Revista de Teledeteccion. 33. https://doi.org/10.4995/raet.2017.7095 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Bullock, E.L., S. Fagherazzi, W. Nardin, P. Vo-Luong, P. Nguyen, and C.E. Woodcock. 2017. Temporal patterns in species zonation in a mangrove forest in the Mekong Delta, Vietnam, using a time series of Landsat imagery. Continental Shelf Research. 147:144-154. https://doi.org/10.1016/j.csr.2017.07.007 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2017 | Chernetskiy, M., N. Gobron, J. Gmez?Dans, P. Lewis and C.C. Schmullius2017. Earth Observation Land Data Assimilation System (EO?LDAS) Regularization Constraints over Barrax Site. Earth Observation for Land and Emergency Monitoring. | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2017 | Franch-Gras, L., E.M. Garcia-Roger, B. Franch, M.J. Carmona, and M. Serra. 2017. Quantifying unpredictability: A multiple-model approach based on satellite imagery data from Mediterranean ponds. PLOS ONE. 12(11):e0187958. https://doi.org/10.1371/journal.pone.0187958 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Fuchs, M., A.A. Awan, S.S. Akhtar, I. Ahmad, S. Sadiq, A. Razzak, and N. Haider. 2017. Lithological mapping with multispectral data - setup and application of a spectral database for rocks in the Balakot area, Northern Pakistan. Journal of Mountain Science. 14(5):948-963. https://doi.org/10.1007/s11629-016-4101-5 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Hanan, E.J., C.N. Tague, and J.P. Schimel. 2017. Nitrogen cycling and export in California chaparral: the role of climate in shaping ecosystem responses to fire. Ecological Monographs. 87(1):76-90. https://doi.org/10.1002/ecm.1234 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2017 | Hofmann, S., J. Everaars, O. Schweiger, M. Frenzel, L. Bannehr, and A.F. Cord. 2017. Modelling patterns of pollinator species richness and diversity using satellite image texture. PLOS ONE. 12(10):e0185591. https://doi.org/10.1371/journal.pone.0185591 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2017 | Huang, C., H.S. He, T.J. Hawbaker, Y. Liang, P. Gong, Z. Wu, and Z. Zhu. 2017. A coupled modeling framework for predicting ecosystem carbon dynamics in boreal forests. Environmental Modelling & Software. 93:332-343. https://doi.org/10.1016/j.envsoft.2017.03.009 | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2017 | Khare, S., S.K. Ghosh, H. Latifi, S. Vijay, and T. Dahms. 2017. Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data. International Journal of Remote Sensing. 38(15):4418-4442. https://doi.org/10.1080/01431161.2017.1320450 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2017 | Martinez, S., E. Chuvieco, I. Aguado, and J. Salas. 2017. Burn severity and regeneration in large forest fires: an analysis from Landsat time series. Revista de Teledeteccion. 17. https://doi.org/10.4995/raet.2017.7182 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2017 | Murillo-Sandoval, P., J. Van Den Hoek, and T. Hilker. 2017. Leveraging Multi-Sensor Time Series Datasets to Map Short- and Long-Term Tropical Forest Disturbances in the Colombian Andes. Remote Sensing. 9(2):179. https://doi.org/10.3390/rs9020179 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Pereira, F.F., F. Farinosi, M.E. Arias, E. Lee, J. Briscoe, and P.R. Moorcroft. 2017. Technical note: A hydrological routing scheme for the Ecosystem Demography model (ED2+R) tested in the Tapajos River basin in the Brazilian Amazon. Hydrology and Earth System Sciences. 21(9):4629-4648. https://doi.org/10.5194/hess-21-4629-2017 | Ecosystem Demography Model: Scaling Vegetation Dynamics Across South America |
| 2017 | Samal, N.R., W.M. Wollheim, S. Zuidema, R.J. Stewart, Z. Zhou, M.M. Mineau, M.E. Borsuk, K.H. Gardner, S. Glidden, T. Huang, D.A. Lutz, G. Mavrommati, A.M. Thorn, C.P. Wake, and M. Huber. 2017. A coupled terrestrial and aquatic biogeophysical model of the Upper Merrimack River watershed, New Hampshire, to inform ecosystem services evaluation and management under climate and land-cover change. Ecology and Society. 22(4):. https://doi.org/10.5751/ES-09662-220418 | PnET Models: Carbon, Nitrogen, Water Dynamics in Forest Ecosystems (Vers. 4 and 5) |
| 2017 | Santos, F., O. Dubovyk, and G. Menz. 2017. Monitoring Forest Dynamics in the Andean Amazon: The Applicability of Breakpoint Detection Methods Using Landsat Time-Series and Genetic Algorithms. Remote Sensing. 9(1):68. https://doi.org/10.3390/rs9010068 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Schaffer-Smith, D., J.J. Swenson, B. Barbaree, and M.E. Reiter. 2017. Three decades of Landsat-derived spring surface water dynamics in an agricultural wetland mosaic; Implications for migratory shorebirds. Remote Sensing of Environment. 193:180-192. https://doi.org/10.1016/j.rse.2017.02.016 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2017 | Verma, S., J. Marshall, C. Gerbig, C. Rodenbeck, and K.U. Totsche. 2017. The constraint of CO<sub>2</sub> measurements made onboard passenger aircraft on surface-atmosphere fluxes: the impact of transport model errors in vertical mixing. Atmospheric Chemistry and Physics. 17(9):5665-5675. https://doi.org/10.5194/acp-17-5665-2017 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2016 | Dijak, W.D., B.B. Hanberry, J.S. Fraser, H.S. He, W.J. Wang, and F.R. Thompson. 2016. Revision and application of the LINKAGES model to simulate forest growth in central hardwood landscapes in response to climate change. Landscape Ecology. 32(7):1365-1384. https://doi.org/10.1007/s10980-016-0473-8 | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2016 | Dvorett, D., C. Davis, and M. Papes. 2016. Mapping and Hydrologic Attribution of Temporary Wetlands Using Recurrent Landsat Imagery. Wetlands. 36(3):431-443. https://doi.org/10.1007/s13157-016-0752-9 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2016 | Gizachew, B., S. Solberg, E. Naesset, T. Gobakken, O.M. Bollandsas, J. Breidenbach, E. Zahabu, and E.W. Mauya. 2016. Mapping and estimating the total living biomass and carbon in low-biomass woodlands using Landsat 8 CDR data. Carbon Balance and Management. 11(1):. https://doi.org/10.1186/s13021-016-0055-8 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2016 | Hamzeh, S., A.A. Naseri, S.K. AlaviPanah, H. Bartholomeus, and M. Herold. 2016. Assessing the accuracy of hyperspectral and multispectral satellite imagery for categorical and Quantitative mapping of salinity stress in sugarcane fields. International Journal of Applied Earth Observation and Geoinformation. 52:412-421. https://doi.org/10.1016/j.jag.2016.06.024 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2016 | Hidy, D., Z. Barcza, H. Marjanovic, M.Z. Ostrogovic Sever, L. Dobor, G. Gelybo, N. Fodor, K. Pinter, G. Churkina, S. Running, P. Thornton, G. Bellocchi, L. Haszpra, F. Horvath, A. Suyker, and Z. Nagy. 2016. Terrestrial ecosystem process model Biome-BGCMuSo v4.0: summary of improvements and new modeling possibilities. Geoscientific Model Development. 9(12):4405-4437. https://doi.org/10.5194/gmd-9-4405-2016 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2016 | Jepsen, S.M., T.C. Harmon, and Y. Shi. 2016. Watershed model calibration to the base flow recession curve with and without evapotranspiration effects. Water Resources Research. 52(4):2919-2933. https://doi.org/10.1002/2015WR017827 | Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies |
| 2016 | Jin, W., H.S. He, and F.R. Thompson. 2016. Are more complex physiological models of forest ecosystems better choices for plot and regional predictions?. Environmental Modelling & Software. 75:1-14. https://doi.org/10.1016/j.envsoft.2015.10.004 | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2016 | Mantas, V.M., J.C. Marques, and A.J.S.C. Pereira. 2016. A geospatial approach to monitoring impervious surfaces in watersheds using Landsat data (the Mondego Basin, Portugal as a case study). Ecological Indicators. 71:449-466. https://doi.org/10.1016/j.ecolind.2016.07.013 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2016 | MILES, E.S., I.C. WILLIS, N.S. ARNOLD, J. STEINER, and F. PELLICCIOTTI. 2016. Spatial, seasonal and interannual variability of supraglacial ponds in the Langtang Valley of Nepal, 1999-2013. Journal of Glaciology. 63(237):88-105. https://doi.org/10.1017/jog.2016.120 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2016 | Mitraka, Z., F. Del Frate, and F. Carbone. 2016. Nonlinear Spectral Unmixing of Landsat Imagery for Urban Surface Cover Mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(7):3340-3350. https://doi.org/10.1109/JSTARS.2016.2522181 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2016 | Molina, J., P. Lugo, J. Arias, J. Guaje, H. Castro, C. Costa, E. Cabrera, and M. Sanabria. 2016. Atmospheric correction matching to theoretical forest signature applied to different colombian regions. 1-7. https://doi.org/10.1109/STSIVA.2016.7743313 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2016 | Rasool, Q.Z., R. Zhang, B. Lash, D.S. Cohan, E.J. Cooter, J.O. Bash, and L.N. Lamsal. 2016. Enhanced representation of soil NO emissions in the Community Multiscale Air Quality (CMAQ) model version 5.0.2. Geoscientific Model Development. 9(9):3177-3197. https://doi.org/10.5194/gmd-9-3177-2016 | BDSNP Module for Improved Soil NO Emission Estimates for CMAQ Model, Conterminous USA |
| 2016 | Sandor, R., Z. Barcza, D. Hidy, E. Lellei-Kovacs, S. Ma, and G. Bellocchi. 2016. Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models. Agriculture, Ecosystems & Environment. 215:1-19. https://doi.org/10.1016/j.agee.2015.09.001 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2016 | Valencia, G.M., J.A. Anaya, and F.J. Caro-Lopera. 2016. Implementacion y evaluacion del modelo Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS): estudio de caso en los Andes colombianos. Revista de Teledeteccion. 83. https://doi.org/10.4995/raet.2016.3582 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2016 | Wang, W.J., H.S. He, F.R. Thompson, J.S. Fraser, and W.D. Dijak. 2016. Changes in forest biomass and tree species distribution under climate change in the northeastern United States. Landscape Ecology. 32(7):1399-1413. https://doi.org/10.1007/s10980-016-0429-z | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2016 | Zipper, S.C., J. Schatz, A. Singh, C.J. Kucharik, P.A. Townsend, and S.P. Loheide. 2016. Urban heat island impacts on plant phenology: intra-urban variability and response to land cover. Environmental Research Letters. 11(5):054023. https://doi.org/10.1088/1748-9326/11/5/054023 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | Camarero, J., M. Franquesa, and G. Sanguesa-Barreda. 2015. Timing of Drought Triggers Distinct Growth Responses in Holm Oak: Implications to Predict Warming-Induced Forest Defoliation and Growth Decline. Forests. 6(12):1576-1597. https://doi.org/10.3390/f6051576 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | DANELICHEN, V.H.M., M.S. BIUDES, M.C.S. VELASQUE, N.G. MACHADO, R.S.R. GOMES, G.L. VOURLITIS, and J.S. NOGUEIRA. 2015. Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery. Anais da Academia Brasileira de Ciencias. 87(3):1545-1564. https://doi.org/10.1590/0001-3765201520140457 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2015 | Dihkan, M., F. Karsli, A. Guneroglu, and N. Guneroglu. 2015. Evaluation of surface urban heat island (SUHI) effect on coastal zone: The case of Istanbul Megacity. Ocean & Coastal Management. 118:309-316. https://doi.org/10.1016/j.ocecoaman.2015.03.008 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | Fetene, A., T. Hilker, K. Yeshitela, R. Prasse, W. Cohen, and Z. Yang. 2015. Detecting Trends in Landuse and Landcover Change of Nech Sar National Park, Ethiopia. Environmental Management. 57(1):137-147. https://doi.org/10.1007/s00267-015-0603-0 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2015 | Gartner, P. and B. Kleinschmit. 2015. Monitoring forest recovery with change metrics derived from Landsat time series stacks. 1-3. https://doi.org/10.1109/Multi-Temp.2015.7245807 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | Gebhardt, S., P. Maeda, T. Wehrmann, J. Argumedo Espinoza, and M. Schmidt. 2015. A proper Land Cover and Forest Type Classification Scheme for Mexico. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XL-7/W3:383-390. https://doi.org/10.5194/isprsarchives-XL-7-W3-383-2015 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | Guneroglu, A. 2015. Coastal changes and land use alteration on Northeastern part of Turkey. Ocean & Coastal Management. 118:225-233. https://doi.org/10.1016/j.ocecoaman.2015.06.019 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2015 | Mitraka, Z., F. Del Frate, and F. Carbone. 2015. Spectral unmixing of urban Landsat imagery by means of neural networks. 1-4. https://doi.org/10.1109/JURSE.2015.7120463 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2015 | Wang, W.J., H.S. He, F.R. Thompson, J.S. Fraser, and W.D. Dijak. 2015. Landscape- and regional-scale shifts in forest composition under climate change in the Central Hardwood Region of the United States. Landscape Ecology. 31(1):149-163. https://doi.org/10.1007/s10980-015-0294-1 | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2015 | Zhao, Y., X. Chen, Z. Cui, and D.B. Lobell. 2015. Using satellite remote sensing to understand maize yield gaps in the North China Plain. Field Crops Research. 183:31-42. https://doi.org/10.1016/j.fcr.2015.07.004 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2014 | Byrd, K.B., J.L. O'Connell, S. Di Tommaso, and M. Kelly. 2014. Evaluation of sensor types and environmental controls on mapping biomass of coastal marsh emergent vegetation. Remote Sensing of Environment. 149:166-180. https://doi.org/10.1016/j.rse.2014.04.003 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2014 | Hajj, M., N. Baghdadi, G. Belaud, M. Zribi, B. Cheviron, D. Courault, O. Hagolle, and F. Charron. 2014. Irrigated Grassland Monitoring Using a Time Series of TerraSAR-X and COSMO-SkyMed X-Band SAR Data. Remote Sensing. 6(10):10002-10032. https://doi.org/10.3390/rs61010002 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2014 | Jiang, D., M. Hao, J. Fu, Q. Wang, Y. Huang, and X. Fu. 2014. Assessment of the GHG Reduction Potential from Energy Crops Using a Combined LCA and Biogeochemical Process Models: A Review. The Scientific World Journal. 2014:1-10. https://doi.org/10.1155/2014/537826 | PnET Models: Carbon, Nitrogen, Water Dynamics in Forest Ecosystems (Vers. 4 and 5) |
| 2014 | Keenan, T.F., J. Gray, M.A. Friedl, M. Toomey, G. Bohrer, D.Y. Hollinger, J.W. Munger, J. O'Keefe, H.P. Schmid, I.S. Wing, B. Yang, and A.D. Richardson. 2014. Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nature Climate Change. 4(7):598-604. https://doi.org/10.1038/nclimate2253 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2014 | Lee, Z.M. and T.M. Schmidt. 2014. Bacterial growth efficiency varies in soils under different land management practices. Soil Biology and Biochemistry. 69:282-290. https://doi.org/10.1016/j.soilbio.2013.11.012 | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2014 | Murdoch, P.S., M. McHale, and J. Baron. 2014. Reflections on a Vision for Integrated Research and Monitoring After 15 Years. Aquatic Geochemistry. 20(2-3):363-380. https://doi.org/10.1007/s10498-013-9222-7 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2014 | Wilson, C.R. and D.G. Brown. 2014. Change in visible impervious surface area in southeastern Michigan before and after the "Great Recession:" spatial differentiation in remotely sensed land-cover dynamics. Population and Environment. 36(3):331-355. https://doi.org/10.1007/s11111-014-0219-y | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2013 | Badawy, B., C. Rodenbeck, M. Reichstein, N. Carvalhais, and M. Heimann. 2013. Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM). Biogeosciences. 10(10):6485-6508. https://doi.org/10.5194/bg-10-6485-2013 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2013 | Choi, H.I., X.Z. Liang, and P. Kumar. 2013. A Conjunctive Surface-Subsurface Flow Representation for Mesoscale Land Surface Models. Journal of Hydrometeorology. 14(5):1421-1442. https://doi.org/10.1175/JHM-D-12-0168.1 | Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies |
| 2013 | Cunha, A.P.M.A., R.C.S. Alvala, G. Sampaio, M.H. Shimizu, and M.H. Costa. 2013. Calibration and Validation of the Integrated Biosphere Simulator (IBIS) for a Brazilian Semiarid Region. Journal of Applied Meteorology and Climatology. 52(12):2753-2770. https://doi.org/10.1175/JAMC-D-12-0190.1 | Integrated Biosphere Simulator Model (IBIS), Version 2.5 |
| 2013 | Keenan, T.F., D.Y. Hollinger, G. Bohrer, D. Dragoni, J.W. Munger, H.P. Schmid, and A.D. Richardson. 2013. Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise. Nature. 499(7458):324-327. https://doi.org/10.1038/nature12291 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2013 | Laurent, O., J. Wu, L. Li, and C. Milesi. 2013. Green spaces and pregnancy outcomes in Southern California. Health & Place. 24:190-195. https://doi.org/10.1016/j.healthplace.2013.09.016 | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2013 | Parece, T. and J. Campbell. 2013. Comparing Urban Impervious Surface Identification Using Landsat and High Resolution Aerial Photography. Remote Sensing. 5(10):4942-4960. https://doi.org/10.3390/rs5104942 | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2013 | Seidl, R., C.S. Eastaugh, K. Kramer, M. Maroschek, C. Reyer, J. Socha, G. Vacchiano, T. Zlatanov, and H. Hasenauer. 2013. Scaling issues in forest ecosystem management and how to address them with models. European Journal of Forest Research. 132(5-6):653-666. https://doi.org/10.1007/s10342-013-0725-y | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2013 | Stoy, P.C., M.C. Dietze, A.D. Richardson, R. Vargas, A.G. Barr, R.S. Anderson, M.A. Arain, I.T. Baker, T.A. Black, J.M. Chen, R.B. Cook, C.M. Gough, R.F. Grant, D.Y. Hollinger, R.C. Izaurralde, C.J. Kucharik, P. Lafleur, B.E. Law, S. Liu, E. Lokupitiya, Y. Luo, J.W. Munger, C. Peng, B. Poulter, D.T. Price, D.M. Ricciuto, W.J. Riley, A.K. Sahoo, K. Schaefer, C.R. Schwalm, H. Tian, H. Verbeeck, and E. Weng. 2013. Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis. Biogeosciences. 10(11):6893-6909. https://doi.org/10.5194/bg-10-6893-2013 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2013 | Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment. | LEDAPS Landsat Calibration, Reflectance, Atmospheric Correction Preprocessing Code |
| 2013 | Wilson C.R. (2013) Evaluating Satellite-Observed Changes in Impervious Surface Cover in Relation to Economic Changes and Spatially Variable Socioeconomic Conditions in Census Data in Southeastern Michigan. University of Michigan, Department of Natural Resources and Environment. | LEDAPS Calibration, Reflectance, Atmospheric Correction Preprocessing Code, Version 2 |
| 2013 | Zhang, C., C. Li, G. Luo, and X. Chen. 2013. Modeling plant structure and its impacts on carbon and water cycles of the Central Asian arid ecosystem in the context of climate change. Ecological Modelling. 267:158-179. https://doi.org/10.1016/j.ecolmodel.2013.06.008 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2012 | Badawy, B., C. Rodenbeck, M. Reichstein, N. Carvalhais, and M. Heimann. 2012. Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM). Biogeosciences Discussions. 9(10):15127-15174. https://doi.org/10.5194/bgd-9-15127-2012 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2012 | Blackledge, J., Coyle, E., McCoy, N., Kearney, D., Sunderland, K., & Woolmington, T.; (2012). Analysis of Wind Velocity and the Quantification of Wind Turbulence in Rural and Urban Environments using the L_vy Index and Fractal Dimension. ISAST Transactions on Computers and Intelligent Systems. 4 (0). | Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies |
| 2012 | Hidy, D., Z. Barcza, L. Haszpra, G. Churkina, K. Pinter, and Z. Nagy. 2012. Development of the Biome-BGC model for simulation of managed herbaceous ecosystems. Ecological Modelling. 226:99-119. https://doi.org/10.1016/j.ecolmodel.2011.11.008 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2012 | Keenan, T.F., I. Baker, A. Barr, P. Ciais, K. Davis, M. Dietze, D. Dragoni, C.M. Gough, R. Grant, D. Hollinger, K. Hufkens, B. Poulter, H. McCaughey, B. Raczka, Y. Ryu, K. Schaefer, H. Tian, H. Verbeeck, M. Zhao, and A.D. Richardson. 2012. Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Global Change Biology. 18(6):1971-1987. https://doi.org/10.1111/j.1365-2486.2012.02678.x | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2012 | Muraoka, H., H.M. Noda, S. Nagai, T. Motohka, T.M. Saitoh, K.N. Nasahara, and N. Saigusa. 2012. Spectral vegetation indices as the indicator of canopy photosynthetic productivity in a deciduous broadleaf forest. Journal of Plant Ecology. 6(5):393-407. https://doi.org/10.1093/jpe/rts037 | Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies |
| 2012 | Schaefer, K., C.R. Schwalm, C. Williams, M.A. Arain, A. Barr, J.M. Chen, K.J. Davis, D. Dimitrov, T.W. Hilton, D.Y. Hollinger, E. Humphreys, B. Poulter, B.M. Raczka, A.D. Richardson, A. Sahoo, P. Thornton, R. Vargas, H. Verbeeck, R. Anderson, I. Baker, T.A. Black, P. Bolstad, J. Chen, P.S. Curtis, A.R. Desai, M. Dietze, D. Dragoni, C. Gough, R.F. Grant, L. Gu, A. Jain, C. Kucharik, B. Law, S. Liu, E. Lokipitiya, H.A. Margolis, R. Matamala, J.H. McCaughey, R. Monson, J.W. Munger, W. Oechel, C. Peng, D.T. Price, D. Ricciuto, W.J. Riley, N. Roulet, H. Tian, C. Tonitto, M. Torn, E. Weng, and X. Zhou. 2012. A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research: Biogeosciences. 117(G3):n/a-n/a. https://doi.org/10.1029/2012JG001960 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2011 | Badawy, B.; (2011). Quantifying carbon processes of the terrestrial biosphere in a global atmospheric inversion based on atmospheric mixing ratio, remote sensing and meteorological data. International Max Planck Research School on Earth System Modelling. Ph.D. (Technical Report 21). | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2011 | HU Bo,,SUN Rui,CHEN Yong-jun,FENG Li-chao,SUN Liang; (2011). Estimation of the Net Ecosystem Productivity in Huang-Huai Hai Region Combining with Biome-BGC Model and Remote Sensing Data. Journal of Natural Resources. | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2011 | Rueda Restrepo, J.A., Ciencias Forestales, (2011). Modelacion de la din_mica del carbono en la biomasa del bosque del norte de los Andes usando el modelo CENTURY. Thesis. http://www.bdigital.unal.edu.co/4609/1/98491011._2011.pdf | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2011 | Wang, Yeqiao, ed. (2011) Remoting Sensing of Protected Lands.CRC Press.. ISBN:143984187X,9781439841877 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2010 | Fang, X., T. Chua, K. Schmidt-Rohr, and M.L. Thompson. 2010. Quantitative 13C NMR of whole and fractionated Iowa Mollisols for assessment of organic matter composition. Geochimica et Cosmochimica Acta. 74(2):584-598. https://doi.org/10.1016/j.gca.2009.10.008 | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2010 | Schwalm, C.R., C.A. Williams, K. Schaefer, R. Anderson, M.A. Arain, I. Baker, A. Barr, T.A. Black, G. Chen, J.M. Chen, P. Ciais, K.J. Davis, A. Desai, M. Dietze, D. Dragoni, M.L. Fischer, L.B. Flanagan, R. Grant, L. Gu, D. Hollinger, R.C. Izaurralde, C. Kucharik, P. Lafleur, B.E. Law, L. Li, Z. Li, S. Liu, E. Lokupitiya, Y. Luo, S. Ma, H. Margolis, R. Matamala, H. McCaughey, R.K. Monson, W.C. Oechel, C. Peng, B. Poulter, D.T. Price, D.M. Riciutto, W. Riley, A.K. Sahoo, M. Sprintsin, J. Sun, H. Tian, C. Tonitto, H. Verbeeck, and S.B. Verma. 2010. A model-data intercomparison of CO2exchange across North America: Results from the North American Carbon Program site synthesis. Journal of Geophysical Research. 115:. https://doi.org/10.1029/2009jg001229 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2009 | Gu, L.; (2009). Aqueous and gaseous nitrogen losses induced by fertilizer application. Lawrence Berkeley Technical Report.http://www.escholarship.org/uc/item/1p49x2bj | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2009 | Scott Goetz, Forrest Melton, Weile Wang, Cristina Milesi, David Theobald; (2009) Modeling Strategies for Adaption to Coupled Climate and Land Use Change in the United States. Proc/ of the World Bank 2009 Marseille Cities and Climate Change Urban Research Symposium, World Bank.. https://www.researchgate.net/publication/228480954_Modeling_Strategies_for_Adaptation_to_Coupled_Climate_and_Land_Use_Change_in_the_United_States | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2008 | Bai, Z. G., Dent, D. L., Olsson, L., Schaepman, M. E.; (2008). Global assessment of land degradation and improvement 1: identification by remote sensing. ISBN: Report 2008.01, ISRIC - World Soil Information. | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2008 | Bruno Locatelli, Hety Herawati, Maria Brockhaus, Monica Idinoba, Markku Kanninen (2008) Methods and Tools for Assessing the Vulnerability of Forests and People to Climate Change.Center for International Forestery Research (CIFOR) and Agricultral Research Center for International Development (CIRAD). Working Paper No. 43. http://www.ibcperu.org/doc/isis/10815.pdf | Integrated Biosphere Simulator Model (IBIS), Version 2.5 |
| 2008 | ZHANG, Y., Q. YU, J. JIANG, and Y. TANG. 2008. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology. 14(4):757-767. https://doi.org/10.1111/j.1365-2486.2008.01538.x | Integrated Biosphere Simulator Model (IBIS), Version 2.5 |
| 2008 | Zhang, Y., S. Wang, A.G. Barr, and T.A. Black. 2008. Impact of snow cover on soil temperature and its simulation in a boreal aspen forest. Cold Regions Science and Technology. 52(3):355-370. https://doi.org/10.1016/j.coldregions.2007.07.001 | Integrated Biosphere Simulator Model (IBIS), Version 2.5 |
| 2007 | Rokityanskiy, D., P.C. Benitez, F. Kraxner, I. McCallum, M. Obersteiner, E. Rametsteiner, and Y. Yamagata. 2007. Geographically explicit global modeling of land-use change, carbon sequestration, and biomass supply. Technological Forecasting and Social Change. 74(7):1057-1082. https://doi.org/10.1016/j.techfore.2006.05.022 | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2006 | Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498. | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2006 | Barkley, M.P.; (2006). Comparisons between SCIAMACHY atmospheric CO 2 retrieved using (FSI) WFM-DOAS to ground based FTIR data and the TM3 chemistry transport model. Atmospheric chemistry and physics. 6 (0): 4483-4498. | Biome-BGC: Modeling Effects of Disturbance and Climate (Thornton et al. 2002) |
| 2006 | Cienciala, E. and F.A. Tatarinov. 2006. Application of BIOME-BGC model to managed forests. Forest Ecology and Management. 237(1-3):252-266. https://doi.org/10.1016/j.foreco.2006.09.086 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2006 | Tatarinov, F.A. and E. Cienciala. 2006. Application of BIOME-BGC model to managed forests. Forest Ecology and Management. 237(1-3):267-279. https://doi.org/10.1016/j.foreco.2006.09.085 | Biome-BGC: Terrestrial Ecosystem Process Model, Version 4.1.1 |
| 2001 | Bugmann, H.K.M., S.D. Wullschleger, D.T. Price, K. Ogle, D.F. Clark, and A.M. Solomon. 2001. Climatic Change. 51(3/4):349-388. https://doi.org/10.1023/A:1012537914881 | LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model |
| 2001 | Lu, L., R.A. Pielke, G.E. Liston, W.J. Parton, D. Ojima, and M. Hartman. 2001. Implementation of a Two-Way Interactive Atmospheric and Ecological Model and Its Application to the Central United States. Journal of Climate. 14(5):900-919. https://doi.org/10.1175/1520-0442(2001)014<0900:IOATWI>2.0.CO;2 | CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4 (VEMAP 1995) |
| 2008 | Soulis, E.D. and F.R. Seglenieks. 2008. The MAGS Integrated Modeling System. 445-473. https://doi.org/10.1007/978-3-540-75136-6_24 | Model Archive |