Active Filters

  • (-) Keywords = soil moisture
Search Results 1 - 20 of 64

Pages

  • RSS Feed
Select Page
Sensitivity of sub-annual grey pine (<em>Pinus sabiniana</em>) stem growth to water supply and demand in central California
Ho, J. Y., Johnston, M. R., Dannenberg, M. P., Cabon, A., & Moorcroft, P. R. (2024). Sensitivity of sub-annual grey pine (Pinus sabiniana) stem growth to water supply and demand in central California. Dendrochronologia, 87, 126253 (10 pp.). https://doi.org/10.1016/j.dendro.2024.126253
Different responses of oxygen and hydrogen isotopes in leaf and tree-ring organic matter to lethal soil drought
Lehmann, M. M., Diao, H., Ouyang, S., & Gessler, A. (2024). Different responses of oxygen and hydrogen isotopes in leaf and tree-ring organic matter to lethal soil drought. Tree Physiology, 44(5), tpae043 (13 pp.). https://doi.org/10.1093/treephys/tpae043
Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China
Lv, S., Houtz, D., Li, S., Hu, Y., Zhang, J., Wu, D., … Wen, J. (2024). Rapid retrieval of soil moisture using a novel portable L-band radiometer in the Hulunbeier Prairie, China. GIScience & Remote Sensing, 61(1), 2424337 (18 pp.). https://doi.org/10.1080/15481603.2024.2424337
No effect of snow on shrub xylem traits: insights from a snow-manipulation experiment on Disko Island, Greenland
Power, C. C., Normand, S., von Arx, G., Elberling, B., Corcoran, D., Krog, A. B., … Prendin, A. L. (2024). No effect of snow on shrub xylem traits: insights from a snow-manipulation experiment on Disko Island, Greenland. Science of the Total Environment, 916, 169896 (15 pp.). https://doi.org/10.1016/j.scitotenv.2024.169896
Contrasting impact of extreme soil and atmospheric dryness on the functioning of trees and forests
Shekhar, A., Hörtnagl, L., Paul-Limoges, E., Etzold, S., Zweifel, R., Buchmann, N., & Gharun, M. (2024). Contrasting impact of extreme soil and atmospheric dryness on the functioning of trees and forests. Science of the Total Environment, 916, 169931 (14 pp.). https://doi.org/10.1016/j.scitotenv.2024.169931
Evaluation of soil moisture retrievals from a portable L-band microwave radiometer
Zhang, R., Nayak, A., Houtz, D., Watts, A., Soltanaghai, E., & Alipour, M. (2024). Evaluation of soil moisture retrievals from a portable L-band microwave radiometer. Remote Sensing, 16(23), 4596 (18 pp.). https://doi.org/10.3390/rs16234596
Idnetification of high spatiotemporal resolution parameters in the tau-omega model for UAS-based passive microwave soil moisture retrieval
Zhang, R., Watts, A., Houtz, D., Nayak, A., Soltanaghai, E., & Alipour, M. (2024). Idnetification of high spatiotemporal resolution parameters in the tau-omega model for UAS-based passive microwave soil moisture retrieval. In IEEE international symposium on geoscience and remote sensing (IGARSS). IGARSS 2024- 2024 IEEE international geoscience and remote sensing symposium. Proceedings (pp. 5195-5199). https://doi.org/10.1109/IGARSS53475.2024.10641052
Environmental controls on the light use efficiency of terrestrial gross primary production
Bloomfield, K. J., Stocker, B. D., Keenan, T. F., & Prentice, I. C. (2023). Environmental controls on the light use efficiency of terrestrial gross primary production. Global Change Biology, 29(4), 1037-1053. https://doi.org/10.1111/gcb.16511
Diagnosing evapotranspiration responses to water deficit across biomes using deep learning
Giardina, F., Gentine, P., Konings, A. G., Seneviratne, S. I., & Stocker, B. D. (2023). Diagnosing evapotranspiration responses to water deficit across biomes using deep learning. New Phytologist, 240(3), 968-983. https://doi.org/10.1111/nph.19197
Vehicle mounted L-band radiometer for remote sensing of turfgrass soil moisture
Houtz, D., Horvath, L., & Schwank, M. (2023). Vehicle mounted L-band radiometer for remote sensing of turfgrass soil moisture. In IEEE international symposium on geoscience and remote sensing (IGARSS). IGARSS 2023- 2023 IEEE international geoscience and remote sensing symposium. Proceedings (pp. 4824-4827). https://doi.org/10.1109/IGARSS52108.2023.10281943
Characterising the coincidence of soil moisture - precipitation extremes as a possible precursor to European floods
Manoj J, A., Pérez Ciria, T., Chiogna, G., Salzmann, N., & Agarwal, A. (2023). Characterising the coincidence of soil moisture - precipitation extremes as a possible precursor to European floods. Journal of Hydrology, 620, 129445 (19 pp.). https://doi.org/10.1016/j.jhydrol.2023.129445
Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication
De Lannoy, G. J. M., Bechtold, M., Albergel, C., Brocca, L., Calvet, J. C., Carrassi, A., … Steele-Dunne, S. (2022). Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication. Frontiers in Water, 4, 981745 (14 pp.). https://doi.org/10.3389/frwa.2022.981745
Phenological season-dependent temperature effects on soil respiration in a subtropical <em>Pinus massoniana</em> forest
Lei, L., Xiao, W., Zeng, L., Liu, C., Zhu, J., & Li, M. H. (2022). Phenological season-dependent temperature effects on soil respiration in a subtropical Pinus massoniana forest. Agricultural and Forest Meteorology, 323, 109086 (11 pp.). https://doi.org/10.1016/j.agrformet.2022.109086
Effects of variable temperature and moisture conditions on respiration and nonstructural carbohydrate dynamics of tree roots
Ryhti, K., Schiestl-Aalto, P., Tang, Y., Rinne-Garmston, K. T., Ding, Y., Pumpanen, J., … Kulmala, L. (2022). Effects of variable temperature and moisture conditions on respiration and nonstructural carbohydrate dynamics of tree roots. Agricultural and Forest Meteorology, 323, 109040 (16 pp.). https://doi.org/10.1016/j.agrformet.2022.109040
川西云杉幼苗非结构性碳水化合物对土壤温度和水分变化的响应. Response of non-structural <em>Picea balfouriana</em> seedling carbohydrates to soil temperature and moisture
Shen, J., Li, M., Yu, F., He, Y., Yuan, X., & Lei, J. (2021). 川西云杉幼苗非结构性碳水化合物对土壤温度和水分变化的响应. Response of non-structural Picea balfouriana seedling carbohydrates to soil temperature and moisture. Shengtai-xuebao jikan. Acta Ecologica Sinica, 41(2), 503-512. https://doi.org/10.5846/stxb201904290880
The value of soil wetness measurements for regional landslide early warning systems
Stähli, M., & Wicki, A. (2021). The value of soil wetness measurements for regional landslide early warning systems. In N. Casagli, V. Tofani, K. Sassa, P. T. Bobrowsky, & K. Takara (Eds.), ICL contribution to landslide disaster risk reduction: Vol. 3. Understanding and reducing landslide disaster risk. Monitoring and early warning (pp. 203-208). https://doi.org/10.1007/978-3-030-60311-3_23
Direct response of tree growth to soil water and its implications for terrestrial carbon cycle modelling
Eckes‐Shephard, A. H., Tiavlovsky, E., Chen, Y., Fonti, P., & Friend, A. D. (2020). Direct response of tree growth to soil water and its implications for terrestrial carbon cycle modelling. Global Change Biology, 27(1), 121-135. https://doi.org/10.1111/gcb.15397
A cost-effective portable L-band radiometer for drone and ground-based applications
Houtz, D., Naderpour, R., & Schwank, M. (2020). A cost-effective portable L-band radiometer for drone and ground-based applications. In IEEE international geoscience and remote sensing symposium (IGARSS). 2020 IEEE international geoscience & remote sensing symposium. Proceedings (pp. 6531-6534). https://doi.org/10.1109/IGARSS39084.2020.9324231
Portable L-band radiometer (PoLRa): design and characterization
Houtz, D., Naderpour, R., & Schwank, M. (2020). Portable L-band radiometer (PoLRa): design and characterization. Remote Sensing, 12(17), 2780 (15 pp.). https://doi.org/10.3390/rs12172780
Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models
Li, X., Al-Yaari, A., Schwank, M., Fan, L., Frappart, F., Swenson, J., & Wigneron, J. P. (2020). Compared performances of SMOS-IC soil moisture and vegetation optical depth retrievals based on Tau-Omega and Two-Stream microwave emission models. Remote Sensing of Environment, 236, 111502 (16 pp.). https://doi.org/10.1016/j.rse.2019.111502
 

Pages