The following 41 publications cited the product MODIS Collection 5 Global Subsetting and Visualization Tool.
Year | Citation |
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2023 | Ashraf, H., T.A.E. Seoud, S. Sodoudi, and A.e. Zafarany. 2023. Anisotropic Surface Urban Heat Island in Cairo, Egypt: A Spatiotemporal Analysis of Local Climate Change from 2000 to 2021. Civil Engineering and Architecture. 11(1):331-350. https://doi.org/10.13189/cea.2023.110127 |
2021 | Rosas, Y.M., P.L. Peri, M.V. Lencinas, R. Lasagno, and G.J. Martinez Pastur. 2021. Improving the knowledge of plant potential biodiversity-ecosystem services links using maps at the regional level in Southern Patagonia. Ecological Processes. 10(1): https://doi.org/10.1186/s13717-021-00326-0 |
2020 | Reyer, C.P.O., R. Silveyra Gonzalez, K. Dolos, F. Hartig, Y. Hauf, M. Noack, P. Lasch-Born, T. Rotzer, H. Pretzsch, H. Meesenburg, S. Fleck, M. Wagner, A. Bolte, T.G.M. Sanders, P. Kolari, A. Makela, T. Vesala, I. Mammarella, J. Pumpanen, A. Collalti, C. Trotta, G. Matteucci, E. D'Andrea, L. Foltynova, J. Krejza, A. Ibrom, K. Pilegaard, D. Loustau, J.M. Bonnefond, P. Berbigier, D. Picart, S. Lafont, M. Dietze, D. Cameron, M. Vieno, H. Tian, A. Palacios-Orueta, V. Cicuendez, L. Recuero, K. Wiese, M. Buchner, S. Lange, J. Volkholz, H. Kim, J.A. Horemans, F. Bohn, J. Steinkamp, A. Chikalanov, G.P. Weedon, J. Sheffield, F. Babst, I. Vega del Valle, F. Suckow, S. Martel, M. Mahnken, M. Gutsch, and K. Frieler. 2020. The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests. Earth System Science Data. 12(2):1295-1320. https://doi.org/10.5194/essd-12-1295-2020 |
2020 | Tian, X., F. Minunno, T. Cao, M. Peltoniemi, T. Kalliokoski, and A. Makela. 2020. Extending the range of applicability of the semi-empirical ecosystem flux model PRELES for varying forest types and climate. Global Change Biology. 26(5):2923-2943. https://doi.org/10.1111/gcb.14992 |
2019 | Haynes, K.D., I.T. Baker, A.S. Denning, R. Stockli, K. Schaefer, E.Y. Lokupitiya, and J.M. Haynes. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: 1. Implementation in the Simple Biosphere Model (SiB4). Journal of Advances in Modeling Earth Systems. 11(12):4423-4439. https://doi.org/10.1029/2018MS001540 |
2019 | Haynes, K.D., I.T. Baker, A.S. Denning, S. Wolf, G. Wohlfahrt, G. Kiely, R.C. Minaya, and J.M. Haynes. 2019. Representing Grasslands Using Dynamic Prognostic Phenology Based on Biological Growth Stages: Part 2. Carbon Cycling. Journal of Advances in Modeling Earth Systems. 11(12):4440-4465. https://doi.org/10.1029/2018MS001541 |
2019 | Muramatsu, K. 2019. The Reproducibility of Gross Primary Production Estimation From GPP Capacity and Canopy Conductance Index in Dry Area. 6752-6755. https://doi.org/10.1109/IGARSS.2019.8898450 |
2019 | Prasad, N., T. Das, and D. Adhikari. 2019. Impacts of Anthropogenic Land Use/Land Cover on the Distribution of Invasive Aquatic Macrophytes in Tropical Floodplains: a Case Study from the Barak River Basin in Northeast India. Human Ecology. 47(2):245-262. https://doi.org/10.1007/s10745-019-0067-6 |
2019 | Robertson, A.D., K. Paustian, S. Ogle, M.D. Wallenstein, E. Lugato, and M.F. Cotrufo. 2019. Unifying soil organic matter formation and persistence frameworks: the MEMS model. Biogeosciences. 16(6):1225-1248. https://doi.org/10.5194/bg-16-1225-2019 |
2019 | Yu, R., B.L. Ruddell, M. Kang, J. Kim, and D. Childers. 2019. Anticipating global terrestrial ecosystem state change using FLUXNET. Global Change Biology. 25(7):2352-2367. https://doi.org/10.1111/gcb.14602 |
2018 | Chocce, M.E.P.2018. Uso de indices de vegetacion del sensor MODIS terra en la estimacion de biomasa aerea de pajonales altoandinos. Universidad Nacional Agraria, La Molina. |
2018 | Fox, A.M., T.J. Hoar, J.L. Anderson, A.F. Arellano, W.K. Smith, M.E. Litvak, N. MacBean, D.S. Schimel, and D.J.P. Moore. 2018. Evaluation of a Data Assimilation System for Land Surface Models Using CLM4.5. Journal of Advances in Modeling Earth Systems. 10(10):2471-2494. https://doi.org/10.1029/2018MS001362 |
2018 | Peri, P., Y. Rosas, B. Ladd, S. Toledo, R. Lasagno, and G. Martinez Pastur. 2018. Modelling Soil Carbon Content in South Patagonia and Evaluating Changes According to Climate, Vegetation, Desertification and Grazing. Sustainability. 10(2):438. https://doi.org/10.3390/su10020438 |
2018 | Rizinjirabake, F., A.M. Abdi, D.E. Tenenbaum, and P. Pilesjo. 2018. Riverine dissolved organic carbon in Rukarara River Watershed, Rwanda. Science of The Total Environment. 643:793-806. https://doi.org/10.1016/j.scitotenv.2018.06.194 |
2018 | Tapia-Palacios, M.A., O. Garcia-Suarez, J. Sotomayor-Bonilla, M.A. Silva-Magana, G. Perez-Ortiz, A.C. Espinosa-Garcia, M.A. Ortega-Huerta, C. Diaz-Avalos, G. Suzan, and M. Mazari-Hiriart. 2018. Abiotic and biotic changes at the basin scale in a tropical dry forest landscape after Hurricanes Jova and Patricia in Jalisco, Mexico. Forest Ecology and Management. 426:18-26. https://doi.org/10.1016/j.foreco.2017.10.015 |
2018 | Thomas, E.K., I.S. Castaneda, N.P. McKay, J.P. Briner, J.M. Salacup, K.Q. Nguyen, and A.D. Schweinsberg. 2018. A Wetter Arctic Coincident With Hemispheric Warming 8,000 Years Ago. Geophysical Research Letters. 45(19):10,637-10,647. https://doi.org/10.1029/2018GL079517 |
2018 | Wilkinson, M., E.L. Eaton, and J.I.L. Morison. 2018. Can upward-facing digital camera images be used for remote monitoring of forest phenology?. Forestry: An International Journal of Forest Research. 91(2):217-224. https://doi.org/10.1093/forestry/cpx057 |
2017 | Anderson, R.G., J.G. Alfieri, R. Tirado-Corbala, J. Gartung, L.G. McKee, J.H. Prueger, D. Wang, J.E. Ayars, and W.P. Kustas. 2017. Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning. Agricultural Water Management. 179:92-102. https://doi.org/10.1016/j.agwat.2016.07.027 |
2017 | Avendao, J.E.L, T.D. Valds, C.W. Thorp, J.C. Rodrguez, T.d.J.V. Alcarz and L.P. Ruvalcaba2017. Use of MODIS satellite data and energy balance to estimate evapotranspiration. Revista Mexicana de Ciencias Agrcolas . 8(4):773-784. |
2017 | Bai, Y., J. Zhang, S. Zhang, U.A. Koju, F. Yao, and T. Igbawua. 2017. Using precipitation, vertical root distribution, and satellite-retrieved vegetation information to parameterize water stress in a Penman-Monteith approach to evapotranspiration modeling under Mediterranean climate. Journal of Advances in Modeling Earth Systems. 9(1):168-192. https://doi.org/10.1002/2016MS000702 |
2017 | Baker, I.T., P.J. Sellers, A.S. Denning, I. Medina, P. Kraus, K.D. Haynes, and S.C. Biraud. 2017. Closing the scale gap between land surface parameterizations and GCMs with a new scheme, SiB3-Bins. Journal of Advances in Modeling Earth Systems. 9(1):691-711. https://doi.org/10.1002/2016MS000764 |
2017 | Brookshire, E.N.J., S. Gerber, W. Greene, R.T. Jones, and S.A. Thomas. 2017. Global bounds on nitrogen gas emissions from humid tropical forests. Geophysical Research Letters. https://doi.org/10.1002/2017GL072867 |
2017 | Choi, K., S. Arnhold, B. Huwe, and B. Reineking. 2017. Daily Based Morgan-Morgan-Finney (DMMF) Model: A Spatially Distributed Conceptual Soil Erosion Model to Simulate Complex Soil Surface Configurations. Water. 9(4):278. https://doi.org/10.3390/w9040278 |
2017 | Gemitzi, A., H. Ajami, and H.H. Richnow. 2017. Developing empirical monthly groundwater recharge equations based on modeling and remote sensing data - Modeling future groundwater recharge to predict potential climate change impacts. Journal of Hydrology. 546:1-13. https://doi.org/10.1016/j.jhydrol.2017.01.005 |
2017 | McNew, S.M., D. Beck, I. Sadler-Riggleman, S.A. Knutie, J.A.H. Koop, D.H. Clayton, and M.K. Skinner. 2017. Epigenetic variation between urban and rural populations of Darwin's finches. BMC Evolutionary Biology. 17(1): https://doi.org/10.1186/s12862-017-1025-9 |
2017 | Metras, R., G. Fournie, L. Dommergues, A. Camacho, L. Cavalerie, P. Merot, M.J. Keeling, C. Cetre-Sossah, E. Cardinale, and W.J. Edmunds. 2017. Drivers for Rift Valley fever emergence in Mayotte: A Bayesian modelling approach. PLOS Neglected Tropical Diseases. 11(7):e0005767. https://doi.org/10.1371/journal.pntd.0005767 |
2017 | Pumo, D., F. Lo Conti, F. Viola, and L.V. Noto. 2017. An automatic tool for reconstructing monthly time-series of hydro-climatic variables at ungauged basins. Environmental Modelling & Software. 95:381-400. https://doi.org/10.1016/j.envsoft.2017.06.045 |
2017 | Rosas, Y.M., P.L. Peri, A. Huertas Herrera, H. Pastore, and G. Martinez Pastur. 2017. Modeling of potential habitat suitability of Hippocamelus bisulcus: effectiveness of a protected areas network in Southern Patagonia. Ecological Processes. 6(1): https://doi.org/10.1186/s13717-017-0096-2 |
2017 | Sacchi, L.V., P.A. Powell, N.I. Gasparri, and R. Grau. 2017. Air quality loss in urban centers of the Argentinean Dry Chaco: Wind and dust control as two scientifically neglected ecosystem services. Ecosystem Services. 24:234-240. https://doi.org/10.1016/j.ecoser.2017.03.006 |
2017 | Scholz, K., A. Hammerle, E. Hiltbrunner, and G. Wohlfahrt. 2017. Analyzing the Effects of Growing Season Length on the Net Ecosystem Production of an Alpine Grassland Using Model-Data Fusion. Ecosystems. 21(5):982-999. https://doi.org/10.1007/s10021-017-0201-5 |
2017 | Song, J., Z.H. Wang, and C. Wang. 2017. Biospheric and anthropogenic contributors to atmospheric CO2 variability in a residential neighborhood of Phoenix, Arizona. Journal of Geophysical Research: Atmospheres. 122(6):3317-3329. https://doi.org/10.1002/2016JD026267 |
2017 | Soria-Diaz, L., M.S. Fowler, and O. Monroy-Vilchis. 2017. Top-down and bottom-up control on cougar and its prey in a central Mexican natural reserve. European Journal of Wildlife Research. 63(5): https://doi.org/10.1007/s10344-017-1129-y |
2017 | Wagner-Riddle, C., K.A. Congreves, D. Abalos, A.A. Berg, S.E. Brown, J.T. Ambadan, X. Gao, and M. Tenuta. 2017. Globally important nitrous oxide emissions from croplands induced by freeze-thaw cycles. Nature Geoscience. 10(4):279-283. https://doi.org/10.1038/ngeo2907 |
2017 | Yan, H., S.Q. Wang, K.L. Yu, B. Wang, Q. Yu, G. Bohrer, D. Billesbach, R. Bracho, F. Rahman, and H.H. Shugart. 2017. A Novel Diffuse Fraction-Based Two-Leaf Light Use Efficiency Model: An Application Quantifying Photosynthetic Seasonality across 20 AmeriFlux Flux Tower Sites. Journal of Advances in Modeling Earth Systems. 9(6):2317-2332. https://doi.org/10.1002/2016MS000886 |
2017 | Yang, Y., Z. Wang, J. Li, C. Gang, Y. Zhang, I. Odeh, and J. Qi. 2017. Assessing the spatiotemporal dynamic of global grassland carbon use efficiency in response to climate change from 2000 to 2013. Acta Oecologica. 81:22-31. https://doi.org/10.1016/j.actao.2017.04.004 |
2016 | Ajami, H., U. Khan, N.K. Tuteja, and A. Sharma. 2016. Development of a computationally efficient semi-distributed hydrologic modeling application for soil moisture, lateral flow and runoff simulation. Environmental Modelling & Software. 85:319-331. https://doi.org/10.1016/j.envsoft.2016.09.002 |
2016 | Gwate, O., S.K. Mantel, A.R. Palmer, and L.A. Gibson. 2016. Modelling evapotranspiration using the modified Penman-Monteith equation and MODIS data over the Albany Thicket in South Africa . 9998:99980P. https://doi.org/10.1117/12.2245439 |
2016 | Kelly, A.E. and M.L. Goulden. 2016. A montane Mediterranean climate supports year-round photosynthesis and high forest biomass. Tree Physiology. 36(4):459-468. https://doi.org/10.1093/treephys/tpv131 |
2016 | Niu, B., Y. He, X. Zhang, G. Fu, P. Shi, M. Du, Y. Zhang, and N. Zong. 2016. Tower-Based Validation and Improvement of MODIS Gross Primary Production in an Alpine Swamp Meadow on the Tibetan Plateau. Remote Sensing. 8(7):592. https://doi.org/10.3390/rs8070592 |
2015 | Chen, Z., G. Yu, X. Zhu, Q. Wang, S. Niu, and Z. Hu. 2015. Covariation between gross primary production and ecosystem respiration across space and the underlying mechanisms: A global synthesis. Agricultural and Forest Meteorology. 203:180-190. https://doi.org/10.1016/j.agrformet.2015.01.012 |
2015 | D'Odorico, P., A. Gonsamo, C.M. Gough, G. Bohrer, J. Morison, M. Wilkinson, P.J. Hanson, D. Gianelle, J.D. Fuentes, and N. Buchmann. 2015. The match and mismatch between photosynthesis and land surface phenology of deciduous forests. Agricultural and Forest Meteorology. 214-215:25-38. https://doi.org/10.1016/j.agrformet.2015.07.005 |