Winter Wheat Seedtime Monitoring through Satellite Remote Sensing Data

Abstract : Winter wheat seedtime is important for wheat growth. It affects the wheat yield and quality. The objective of this study is monitoring the winter wheat seedtime through remote sensing imagery. Two HJ-1B images and one Landsat5 TM image were used in this study. Three Vegetation Indices, DVI, SAVI and RDVI were calculated. The correlation about the wheat seedtime and VIs were analyzed. The result indicated that wheat growth was negatively correlated with seedtime. Wheat VIs during 40-60 days after sowing is best for seedtime monitoring. The correlation coefficient for DVI of November 22th HJ-1B and seedtime reached -0.51. The seedtime for whole wheat plant field of Beijing area was inverted through the model. The results show that area for seeded before Sept 30th was about 12.7 thousands ha, 31. 8 thousands ha between Oct 1th and Oct 8th, and 16.2 thousands ha seeded after Oct 8th during 2009-2010 year.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.362-371, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_41〉
Liste complète des métadonnées

Littérature citée [14 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01361160
Contributeur : Hal Ifip <>
Soumis le : mardi 6 septembre 2016 - 17:12:04
Dernière modification le : mardi 6 septembre 2016 - 17:40:16
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 13:39:31

Fichier

978-3-642-27275-2_41_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Xiaoyu Song, Wenjiang Huang, Bei Cui, Jihong Zhou. Winter Wheat Seedtime Monitoring through Satellite Remote Sensing Data. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370 (Part III), pp.362-371, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_41〉. 〈hal-01361160〉

Partager

Métriques

Consultations de la notice

149

Téléchargements de fichiers

37