Estimating wheat fractional vegetation cover using a density peak k-means algorithm based on hyperspectral image data
Fractional vegetation cover (FVC) is an important parameter to measure crop growth. In studies of crop growth monitoring, it is very important to extract FVC quickly and accurately. As the most widely used FVC extraction method, the photographic method has the advantages of simple operation and high...
Main Authors: | Da-zhong LIU, Fei-fei YANG, Sheng-ping LIU |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-11-01
|
Series: | Journal of Integrative Agriculture |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095311920635560 |
Similar Items
-
Analysis of the Scaling Effects in the Area-Averaged Fraction of Vegetation Cover Retrieved Using an NDVI-Isoline-Based Linear Mixture Model
by: Hiroki Yoshioka, et al.
Published: (2012-07-01) -
Time–series Satellite Data Analysis for Assessment of Vegetation Cover in Mongolia
by: Naidansur en Erdenesaikhan
Published: (2003-12-01) -
Responses of Vegetation Cover to Environmental Change in Large Cities of China
by: Kai Jin, et al.
Published: (2018-01-01) -
Mapping and assessment of vegetation cover change and species variation in Medan, North Sumatra
by: Anita Zaitunah, et al.
Published: (2021-07-01) -
Comparison the accuracies of different spectral indices for estimation of vegetation cover fraction in sparse vegetated areas
by: Susan Barati, et al.
Published: (2011-06-01)