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Temporal dynamics of spatial heterogeneity over cropland quantified by time-series NDVI, near infrared and red reflectance of Landsat 8 OLI imagery

Author
YANLING DING1 2 3 ; KAI ZHAO1 3 ; XINGMING ZHENG1 3 ; TAO JIANG1 3
[1] Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
[2] Graduate University of Chinese Academy of Sciences, Beijing 100049, China
[3] Changchun Jingyuetan Remote Sensing Test Site, Chinese Academy of Sciences, Changchun 130102, China
Source

International journal of applied earth observation and geoinformation. 2014, Vol 30, pp 139-145, 7 p ; ref : 1/4 p

ISSN
1569-8432
Scientific domain
Geography; Geology; Geophysics
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Fractional vegetation cover Mean length variability NDVI Near infrared and red reflectance Spatial heterogeneity
Keyword (fr)
Croissance Homogénéité Hétérogénéité Imagerie LANDSAT Pixel Pouvoir réflecteur Sol Télédétection spatiale Télédétection Végétation
Keyword (en)
growth homogeneity heterogeneity imagery Landsat Pixel reflectance soils Space remote sensing remote sensing vegetation
Keyword (es)
Homogeneidad Heterogeneidad Imaginería Pixel Poder reflector Suelo Teledetección espacial Detección a distancia Vegetación
Classification
Pascal
001 Exact sciences and technology / 001E Earth, ocean, space / 001E01 Earth sciences / 001E01M Internal geophysics / 001E01M04 Applied geophysics

Discipline
Earth sciences
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28396231

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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