Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves-Reference-Cited by-同舟云学术

Phenology from Landsat when data is scarce: Using MODIS and Dynamic Time-Warping to combine multi-year Landsat imagery to derive annual phenology curves

Published:2017-02 Issue: Volume:54 Page:72-83
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Baumann Matthias^ORCID,Ozdogan Mutlu,Richardson Andrew D.,Radeloff Volker C.

Funder

Land-Cover/Land-Use Change (LCLUC) program of the National Aeronautics and Space Administration (NASA)

UW-Madison McIntire-Stennis Formula Program

Northeastern States Research Cooperative

NSF’s Macrosystems Biology program

US National Park Service Inventory and Monitoring Program and the USA National Phenology Network

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference61 articles.

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2. Differences in leaf phenology between juvenile and adult trees in a temperate deciduous forest;Augspurger;Tree Physiol.,2003

3. Responses of spring phenology to climate change;Badeck;New Phytol.,2004

4. Deterministic sampling and range counting in geometric data streams;Bagchi;ACM Trans. Algorithms,2007

5. Preparing landsat image time series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia;Bhandari;Remote Sens.,2012

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