Arid
DOI10.3390/rs9101071
Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem
Browning, Dawn M.1; Karl, Jason W.2; Morin, David3; Richardson, Andrew D.4,5; Tweedie, Craig E.6
通讯作者Browning, Dawn M.
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2017
卷号9期号:10
英文摘要

Near surface (i.e., camera) and satellite remote sensing metrics have become widely used indicators of plant growing seasons. While robust linkages have been established between field metrics and ecosystem exchange in many land cover types, assessment of how well remotely-derived season start and end dates depict field conditions in arid ecosystems remain unknown. We evaluated the correspondence between field measures of start (SOS; leaves unfolded and canopy greenness >0) and end of season (EOS) and canopy greenness for two widespread species in southwestern U.S. ecosystems with those metrics estimated from near-surface cameras and MODIS NDVI for five years (2012-2016). Using Timesat software to estimate SOS and EOS from the phenocam green chromatic coordinate (GCC) greenness index resulted in good agreement with ground observations for honey mesquite but not black grama. Despite differences in the detectability of SOS and EOS for the two species, GCC was significantly correlated with field estimates of canopy greenness for both species throughout the growing season. MODIS NDVI for this arid grassland site was driven by the black grama signal although a mesquite signal was discernable in average rainfall years. Our findings suggest phenocams could help meet myriad needs in natural resource management.


英文关键词phenology phenocam drylands instrument intercomparison ecological scaling ecosystem productivity USA-NPN protocols growing season unfolded leaves rangeland
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000414650600101
WOS关键词DIGITAL REPEAT PHOTOGRAPHY ; CLIMATE-CHANGE ; PHENOLOGICAL RESPONSE ; RESOURCE-MANAGEMENT ; FOREST PHENOLOGY ; TIME-SERIES ; VEGETATION ; COVER ; MODIS ; VARIABILITY
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构New Mexico State University
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/201969
作者单位1.USDA ARS, Jornada Expt Range, POB 30003, Las Cruces, NM 88003 USA;
2.Univ Idaho, Dept Forest Rangeland & Fire Sci, Moscow, ID 83844 USA;
3.New Mexico State Univ, Jornada Expt Range, POB 30003,MSC 3JER, Las Cruces, NM 88003 USA;
4.No Arizona Univ, Sch Informat Comp & Cyber Syst, Flagstaff, AZ 86011 USA;
5.No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA;
6.Univ Texas El Paso, Dept Biol Sci, El Paso, TX 79968 USA
推荐引用方式
GB/T 7714
Browning, Dawn M.,Karl, Jason W.,Morin, David,et al. Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem[J]. New Mexico State University,2017,9(10).
APA Browning, Dawn M.,Karl, Jason W.,Morin, David,Richardson, Andrew D.,&Tweedie, Craig E..(2017).Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem.REMOTE SENSING,9(10).
MLA Browning, Dawn M.,et al."Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem".REMOTE SENSING 9.10(2017).
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