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Estimating fractional green vegetation cover of Mongolian grasslands using digital camera images and MODIS satellite vegetation indices

Kim, Jaebeom; Kang, Sinkyu; Seo, Bumsuk 1; Narantsetseg, Amratuvshin; Han, Youngji
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Fractional green vegetation cover (FVC) is a useful indicator for monitoring grassland status. Satellite imagery with coarse spatial but high temporal resolutions has been preferred to monitor seasonal and inter-annual FVC dynamics in wide geographic area such as Mongolian steppe. However, the coarse spatial resolution can cause a certain uncertainty in the satellite-based FVC estimation, which calls attention to develop a robust statistical test for the relationship between field FVC and satellite-derived vegetation indices. In the arid and semi-arid Mongolian steppe, nadir pointing digital camera images (DCI) were collected and used to produce a FVC dataset to support the evaluation of satellite-based FVC retrievals. An optimal DCI processing method was determined with respect to three color spaces (RGB, HIS, L*a*b*) and six green pixel classification algorithms, from which a country-wide dataset of DCI-FVC was produced and used for evaluating the accuracy of satellite-based FVC estimates from MODIS vegetation indices. We applied three empirical and three semi-empirical MODIS-FVC retrieval models. DCI data were collected from 96 sites across the Mongolian steppe from 2012 to 2014. ... mehr

DOI: 10.1080/15481603.2019.1662166
Zitationen: 20
Web of Science
Zitationen: 17
Zitationen: 18
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0749-3878, 1548-1603, 1943-7226, 2331-1762
KITopen-ID: 1000097978
HGF-Programm 12.02.02 (POF III, LK 01) Vegetation climate- and land use system
Erschienen in GIScience and remote sensing
Verlag Taylor and Francis
Band 57
Heft 1
Seiten 49-59
Vorab online veröffentlicht am 03.09.2019
Externe Relationen Abstract/Volltext
Schlagwörter Digital camera image, fractional green vegetation cover, Mongolian steppe, satellite vegetation indices
Nachgewiesen in Web of Science
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