Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California

Mapping Crop Calendar Events and Phenology-Related Metrics at the Parcel Level by Object-Based Image Analysis (OBIA) of MODIS-NDVI Time-Series: A Case Study in Central California

Remote sensing technology allows monitoring the progress of vegetation and crop phenology in large regions. Seasonal vegetation trends are commonly estimated from high temporal resolution but coarse spatial resolution satellite imagery, e.g., from MODIS-NDVI (Moderate Resolution Imaging Spectroradio...

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Bibliographic Details
Main Authors: Ana I. de Castro, Johan Six, Richard E. Plant, José M. Peña
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Remote Sensing
Subjects:
crop phenology
cropland data layer
curve-fitting models
TIMESAT
seasonality imagery
Online Access:https://www.mdpi.com/2072-4292/10/11/1745

Internet

https://www.mdpi.com/2072-4292/10/11/1745

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