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Publications Citing MODIS Collection 5 Global Subsetting and Visualization Tool

The following 41 publications cited the product MODIS Collection 5 Global Subsetting and Visualization Tool.

Year Citation
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