Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data
- Author
- ZHUOKUN PAN1 2 ; JINGFENG HUANG1 3 ; QINGBO ZHOU4 ; LIMIN WANG4 ; YONGXIANG CHENG1 3 ; HANKUI ZHANG5 ; BLACKBURN, George Alan6 ; JING YAN7 ; JIANHONG LIU8
[1] Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China
[2] Key Laboratory of Environmental Remediation and Ecological Health, Ministry of Education, College of Natural Resources and Environmental Science, Zhejiang University, Hangzhou 310058, China
[3] Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058, China
[4] Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/Key Laboratory of Resources Remote Sensing and Digital Agriculture, Ministry of Agriculture, Beijing 100081, China
[5] Geospatial Science Center of Excellence (GSCE), South Dakota State University, Brookings, SD 57007, United States
[6] Lancaster Environment Centre, Lancaster University, Lancaster, United Kingdom
[7] Hubei Meteorological Information and Technology Support Center, Wuhan 430074, China
[8] College of Urban and Environmental Science, Northwest University, Xi'an 710127, China - Source
International journal of applied earth observation and geoinformation. 2014, Vol 34, pp 188-197, 10 p ; ref : 1 p
- ISSN
- 1569-8432
- Scientific domain
- Geography; Geology; Geophysics
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- HJ-1 A/B Interpolation NDVI time-series Phenology parameters S-G filter
- Keyword (fr)
- Filtrage signal Haute résolution Interpolation LANDSAT Méthodologie Plaine Radiométrie Résolution spatiale SPOT Satellite Télédétection spatiale Télédétection Végétation Chine Asie Extrême Orient
- Keyword (en)
- signal filtering high resolution interpolation Landsat methodology plains radiometry spatial resolution Spot satellites Space remote sensing remote sensing vegetation China Asia Far East
- Keyword (es)
- Filtrado Alta resolucion Metodología Llano Spot Satélite Teledetección espacial Detección a distancia Vegetación China Asia Extremo Oriente
- 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
- 28821419
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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