Satellite radar remote sensing of seasonal growing seasons for boreal and subalpine evergreen forests

• Published in: Remote sensing of environment Vol. 90; no. 2; pp. 243 - 258
• Main Authors: Kimball, John S., McDonald, Kyle C., Running, Steven W., Frolking, Steve E.
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 30.03.2004; Elsevier Science
• Subjects: Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; Earth sciences; Earth, ocean, space; Evergreen forest; Exact sciences and technology; Freeze-thaw, BIOME-BGC; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Growing season; Internal geophysics; Phenology, NPP, SeaWinds, Boreal forest; Radar remote sensing; Teledetection and vegetation maps; Canada; Alaska; Manitoba; United States; Western Canada; Colorado; North America; Evergreen forest; Radar remote sensing; Phenology, NPP, SeaWinds, Boreal forest; Freeze-thaw, BIOME-BGC; Growing season; landscapes; satellites; gymnosperms; Space remote sensing; Plantae; North America; forests; Modeling; Freeze thaw cycle; Softwood forest tree; ecosystems; Spermatophyta; Boreal; Coniferales; Snow cover; statistical analysis; radar methods; seasonal variations
• ISSN: 0034-4257; 1879-0704
• DOI: 10.1016/j.rse.2004.01.002

We evaluated whether satellite radar remote sensing of landscape seasonal freeze–thaw cycles provides an effective measure of active growing season timing and duration for boreal and subalpine evergreen forests. Landscape daily radar backscatter measurements from the SeaWinds scatterometer on-board the QuikSCAT satellite were evaluated across a regional network of North American coniferous forest sites for 2000 and 2001. Radar remote sensing measurements of the initiation and length of the growing season corresponded closely with both site measurements and ecosystem process model (BIOME-BGC) simulations of these parameters because of the sensitivity of the K u-band scatterometer to snow cover freeze–thaw dynamics and associated linkages between growing season initiation and the timing of seasonal snowmelt. In contrast, remote sensing estimates of the timing of growing season termination were either weakly or not significantly associated with site measurements and model simulation results, due to the relative importance of light availability and other environmental controls on stand phenology in the fall. Regional patterns of estimated annual net primary production (NPP) and component photosynthetic and autotrophic respiration rates for the evergreen forest sites also corresponded favorably with remote sensing estimates of the seasonal timing of spring thaw and associated growing season length, indicating the importance of these parameters in determining spatial and temporal patterns of NPP and the potential utility of satellite radar remote sensing for regional monitoring of the terrestrial biosphere.