On Remote Sensing Data Quality for Predicting Crop Growth Stages
Author:
Publisher
Elsevier BV
Reference26 articles.
1. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;M Belgiu;Remote sensing of environment,2018
2. Predicting the normalized difference vegetation index (ndvi) by training a crop growth model with historical data;A Berger;Computers and Electronics in Agriculture,2019
3. Improved change monitoring using an ensemble of time series algorithms;E L Bullock;Remote Sensing of Environment,2020
4. Winter oilseed rape and winter wheat growth prediction using remote sensing methods;J A Dom�nguez;Plant, Soil and Environment,2015
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