Next Article in Journal
Nonnegative Matrix Factorization With Data-Guided Constraints For Hyperspectral Unmixing
Next Article in Special Issue
Grassland Phenology Response to Drought in the Canadian Prairies
Previous Article in Journal
The Geometry of Large Tundra Lakes Observed in Historical Maps and Satellite Images
Previous Article in Special Issue
Temporal Interpolation of Satellite-Derived Leaf Area Index Time Series by Introducing Spatial-Temporal Constraints for Heterogeneous Grasslands
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Remote Sens. 2017, 9(10), 1071; https://doi.org/10.3390/rs9101071

Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem

1
Jornada Experimental Range, USDA-ARS, P.O. Box 30003, MSC 3JER, Las Cruces, NM 88003, USA
2
Department Forest, Rangeland, and Fire Sciences, University of Idaho, Moscow, ID 83844, USA
3
Jornada Experimental Range, New Mexico State University, P.O. Box 30003, MSC 3JER, Las Cruces, NM 880033, USA
4
School of Informatics, Computing, and Cyber Systems and Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA
5
Department Biological Science, The University of Texas at El Paso, El Paso, TX 79968, USA
*
Author to whom correspondence should be addressed.
Received: 20 September 2017 / Revised: 14 October 2017 / Accepted: 18 October 2017 / Published: 21 October 2017
(This article belongs to the Special Issue Land Surface Phenology)
Full-Text   |   PDF [2058 KB, uploaded 23 October 2017]   |  

Abstract

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. View Full-Text
Keywords: phenology; phenocam; drylands; instrument intercomparison; ecological scaling; ecosystem productivity; USA-NPN protocols; growing season; unfolded leaves; rangeland phenology; phenocam; drylands; instrument intercomparison; ecological scaling; ecosystem productivity; USA-NPN protocols; growing season; unfolded leaves; rangeland
Figures

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Browning, D.M.; Karl, J.W.; Morin, D.; Richardson, A.D.; Tweedie, C.E. Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem. Remote Sens. 2017, 9, 1071.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top