Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 237, Issue -, Pages 311-325Publisher
ELSEVIER
DOI: 10.1016/j.agrformet.2017.02.026
Keywords
Savannas; Land surface phenology; near surface webcams; Satellite sensor resolution; MODIS; VIIRS; Landsat
Categories
Funding
- Northeastern States Research Cooperative
- NSF's Macrosystems Biology program [EF-1065029]
- DOE's Regional and Global Climate Modeling program [DE-SC0016011]
- US National Park Service Inventory and Monitoring Program
- USA National Phenology Network (from the United States Geological Survey) [G10AP00129]
- USGS [G12PC00072]
- NASA [NNX14AI73G, NNX14AQ18A]
- Emerging Frontiers
- Direct For Biological Sciences [1065029] Funding Source: National Science Foundation
- NASA [674220, NNX14AQ18A] Funding Source: Federal RePORTER
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The Mediterranean-type oak/grass savanna of California is composed of widely spaced oak trees with understory grasses. These savanna regions are interspersed with large areas of more open grasslands. The ability of remotely sensed data (with various spatial resolutions) to monitor the phenology in these water-limited oak/grass savannas and open grasslands is explored over the 2012-2015 timeframe using data from Landsat (30 m), the MODerate resolution Imaging Spectroradiometer (MODIS - gridded 500 m), and the Visible Infrared Imaging Radiometer Suite (VIIRS gridded 500 m) data. Vegetation phenology detected from near-ground level, webcam based PhenoCam imagery from two sites in the Ameriflux Network (long-term flux measurement network of the Americas) (Tonzi Ranch and Vaira Ranch) is upscaled, using a National Agriculture Imagery Program (NAIP) aerial image (1 m), to evaluate the detection of vegetation phenology of these savannas and grasslands with the satellite data. Results show that the Normalized Difference Vegetation Index (NDVI) time series observed from the satellite sensors are all strongly correlated with the PhenoCam NDVI values from Tonzi Ranch (R-2 > 0.67) and Vaira Ranch (R-2 > 0.81). However, the different viewing geometries and spatial coverage of the PhenoCams and the various satellite sensors may cause differences in the absolute phenological transition dates. Analysis of frequency histograms of phenological dates illustrate that the phenological dates in the relatively homogeneous open grasslands are consistent across the different spatial resolutions, in contrast, the relatively heterogeneous oak/grass savannas display has somewhat later greenup, maturity, and dormancy dates at 30 m resolution than at 500 m scale due to the different phenological cycles exhibited by the overstory trees and the understory grasses. In addition, phenologies derived from the MODIS view angle corrected reflectance (Nadir BRDF-Adjusted Reflectance NBAR) and the newly developed VIIRS NBAR are shown to provide comparable phenological dates (majority absolute bias <= 2 days) in this area. (C) 2017 The Authors. Published by Elsevier B.V.
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