Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data-Reference-Cited by-同舟云学术

Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data

Published:2018-06 Issue: Volume:210 Page:508-518
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Canisius Francis,Shang Jiali^ORCID,Liu Jiangui,Huang Xiaodong,Ma Baoluo,Jiao Xianfeng,Geng Xiaoyuan,Kovacs John M.,Walters Dan

Funder

Agriculture and Agri-Food Canada

Canadian Space Agency

Northern Ontario Heritage Fund Corporation of Canada

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference47 articles.

1. Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on Reunion Island;Baghdadi;Remote Sens. Environ.,2009

2. On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna;Benedetti;Remote Sens. Environ.,1993

3. Estimation of key dates and stages in rice crops using dual-polarization SAR time series and a particle filtering approach;Bernardis;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2015

4. Efficiency of crop identification based on optical and SAR image time series;Blaes;Remote Sens. Environ.,2005

5. Agricultural monitoring in Northeastern Ontario, Canada, using multi-temporal polarimetric RADARSAT-2 Data;Cable;Remote Sens.,2014

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