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A spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages

  • Published:2021-05 Issue: Volume:175 Page:431-447
  • ISSN:0924-2716
  • Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
  • language:en
  • Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Qu Chang,Li Peijun,Zhang Chengming

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference62 articles.

1. Single-species detection with airborne imaging spectroscopy data: a comparison of support vector techniques;Baldeck;IEEE J Sel. Top. Appl. Earth Observ. Remote Sens.,2014

2. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;Belgiu;Remote Sens. Environ.,2018

3. A new spectral index for the extraction of built-up land features from Landsat 8 satellite imagery;Bouhennache;Geocarto Int.,2019

4. Improved change monitoring using an ensemble of time series algorithms;Bullock;Remote Sens. Environ.,2020

5. On over-fitting in model selection and subsequent selection bias in performance evaluation;Cawley;J. Mach. Learn. Res.,2010

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