Remote Sensing-Based Time-Series Analysis of Cheatgrass (Bromus tectorum L.) Phenology-Reference-Cited by-同舟云学术

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Remote Sensing-Based Time-Series Analysis of Cheatgrass (Bromus tectorum L.) Phenology

Published:2010-05 Issue:3 Volume:39 Page:955-963
ISSN:0047-2425
Container-title:Journal of Environmental Quality
language:en
Short-container-title:J. Environ. Qual.

Author:

Clinton Nicholas E.¹²³,Potter Christopher¹,Crabtree Bob⁴,Genovese Vanessa¹,Gross Peggy¹,Gong Peng²³

Affiliation:

1. MS 244-15, NASA Ames Research Center; Moffett Field CA 94035

2. Dep. of Environmental Science, Policy and Management; Univ. of California-Berkeley; Mulford Hall Berkeley CA 94720

3. State Key Lab. for Remote Sensing Science; Datun Rd., Chaoyang District, P.O. Box 9718 Beijing 100101 China

4. Yellowstone Ecological Research Center; 2048 Analysis Dr., Suite B Bozeman MT 59714

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2134/jeq2009.0158/fullpdf

Reference50 articles.

1. A curve fitting procedure to derive inter-annual vegetation phenologies from time-series of noisy satellite NDVI data;Bradley;Remote Sens. Environ.,2007

2. Identifying land cover variability distinct from land cover change: Cheatgrass in the Great Basin;Bradley;Remote Sens. Environ.,2005

3. Characterizing the landscape dynamics of an invasive plant and risk of invasion using remote sensing;Bradley;Ecol. Appl.,2006

4. The response of global terrestrial ecosystems to interannual temperature variability;Braswell;Science,1997

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